{ "count" : 12121, "data" : [ { "id" : "6a305a8ff292fd229cf52a0c", "title" : "Gene Biotechnologist (Trouble Shooting and Order Management)", "company" : "GenScript/ProBio", "industry" : "Biotech", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Gene Biotechnologist in Singapore, adjusted for the Biotech industry and company size." }, "location" : "Singapore", "locations" : [ "Singapore" ], "timestamp" : "2026-06-16T07:07:09.490", "fingerprint" : "c624bbf1264436c6aa3abb28e970bf93c78df38f213dfd89278d80c535eb1bb8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/genscript/jobs/5164493007", "externalId" : "5164493007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "remoteFriendly" : false, "rawDescription" : "About GenScript GenScript Biotech Corporation (Stock Code: 1548.HK) is a global biotechnology group. Founded in 2002, GenScript has an established global presence across North America, Europe, the Greater China, and Asia Pacific. GenScript's businesses encompass four major categories based on its leading gene synthesis technology, including operation as a Life Science CRO, enzyme and synthetic biology products, biologics development and manufacturing, and cell therapy. GenScript is committed to striving towards its vision of being the most reliable biotech company in the world to make humans and nature healthier through biotechnology. Position: Gene Biotechnologist (Trouble Shooting and Order Management) Location: Singapore Job Responsibilities： Design order: Develop a reasonable production plan based on customer orders. Manage order tracking: Manage customer orders throughout the entire production lifecycle to ensure on-time delivery and customer satisfaction. Increase success rate: Able to read literature, design test plans, and solve gene synthesis production abnormalities; Able to communicate with R&D and production team from China, helping to transfer the technology from China to production team in Singapore. Trouble shooting: PCR exceptions, linearization exceptions, rolling exceptions, bacterial inspection exceptions, extraction exceptions, sequencing exceptions, QC exceptions, etc. Analyze data: Analyze production data, provide improvement plans, and support the CVD department to achieve goals. Analyze the sequencing results and provide a plan: First, Second, and Third-generation sequencing results can be analyzed for cloning and template transformation (vectors, plasmids). Perform root cause analysis and reasonable plans for incorrect sequencing results. Designing schemes for different cloning methods such as recombination, annealing, chain reaction, and restriction enzyme recombination. Qualification: Master's degree or above in Biology, Molecular Biology, Genetics, Biotechnology, Bioengineering, or a related field. Experience in troubleshooting abnormal cloning results and performing root cause analysis. Knowledge of gene synthesis production workflows. Strong analytical, problem-solving, and exception-handling skills, with the ability to manage multiple priorities. Responsible, detail-oriented, customer-focused, and a strong team player with excellent learning agility and professional ethics. Available to work 8-hour shifts, 5 days a week, with 2 rest days that may not always fall on weekends. GenScript USA Inc/ProBio Inc. is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is the Company's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law. GenScript USA Inc./ProBio Inc. maintains a drug-free workplace. Please note: Genscript USA Inc./ProBio Inc. will only contact candidates through verified application sources. GenScript/Probio does not request personal information from candidates through individual email or any other platform.", "summaryDescription" : "Gene Biotechnologist (Trouble Shooting and Order Management) at GenScript/ProBio", "postedDate" : "2026-06-15T23:23:57.132", "createdAt" : "2026-06-15T23:23:57.132", "lastUpdated" : "2026-06-16T07:07:09.490", "ingestTimestamp" : "2026-06-15T23:23:57.132", "mongoId" : "6a305a8ff292fd229cf52a0c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 500.1914, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cda0c74d8ee00a0a4a9b7", "title" : "Measurement Analyst", "company" : "Nextdoor", "industry" : "Technology", "salary" : { "min" : 81000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States", "Chicago", "Illinois", "United States", "New York", "New York", "United States" ], "timestamp" : "2026-06-16T01:58:38.641", "fingerprint" : "68616fac2842ed528effc6ac3a6a3a8511ffbb8a8109440c50c0002428d2553a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://about.nextdoor.com/careers-list/?gh_jid=8003675", "externalId" : "8003675", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Measurement strategy", "Data analysis", "Client advising", "Research studies", "Campaign analysis", "Best practices", "Playbook creation" ], "hardSkillsList" : [ "Digital analytics", "Marketing analytics", "Media measurement", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic analysis", "Conversion lift analysis" ], "hardSkills" : [ { "name" : "Digital analytics", "level" : "intermediate" }, { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Media measurement", "level" : "intermediate" }, { "name" : "Lift testing", "level" : "intermediate" }, { "name" : "Incrementality testing", "level" : "intermediate" }, { "name" : "Attribution", "level" : "intermediate" }, { "name" : "Foot traffic analysis", "level" : "intermediate" }, { "name" : "Conversion lift analysis", "level" : "intermediate" } ], "majorSkills" : "Measurement strategy, Data analysis, Client advising", "majorSkillsList" : [ "Measurement strategy", "Data analysis", "Client advising" ], "coreResponsibilities" : "Lead measurement research studies, Manage study process, Deliver study results, Advocate for measurement solutions, Ensure effective implementation, Lead presentation of results, Provide insights, Provide recommendations, Conduct in-depth analyses, Evaluate campaign tactics effectiveness, Create actionable best practices, Create playbooks, Leverage AI tools, Automate analysis tasks, Accelerate data summarization, Explore new AI applications", "teamCollaboration" : "Sales teams; Account management teams; Product teams; Internal teams; Client conversations", "domainKnowledge" : "Measurement landscape; Lift testing; Incrementality testing; Attribution; Foot traffic; Conversion lift; Emerging measurement trends", "domainList" : [ "measurement-landscape", "lift-testing", "incrementality-testing", "attribution", "foot-traffic", "conversion-lift", "emerging-measurement-trends" ], "domainSpecificKnowledge" : [ "Measurement landscape", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic", "Conversion lift", "Emerging measurement trends" ], "toolProficiency" : [ "AI tools", "Claude", "Gemini", "ChatGPT", "Glean" ], "communicationSkills" : "Presenting insights; Presenting recommendations; Senior stakeholder presentations", "documentationSkills" : "Playbook creation", "problemSolvingSkills" : "Solve complex client problems", "specialRequirements" : "In-person events, Team building exercises", "outcomesObjectives" : "Drive impactful results", "qualificationsBasic" : "Bachelor's degree in quantitative field, 0-2 years experience in digital analytics, Understanding of measurement landscape, Demonstrated client service background, Partnering across teams, Comfortable extracting and analyzing datasets, SQL proficiency, Python proficiency", "qualificationsPreferred" : "Master's degree preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Measurement Analyst at Nextdoor, you’ll work at the forefront of strategizing and recommending measurement strategies for our advertisers. As experts in measurement and data, we provide essential technical support to our sales team and deliver value to our clients. Our sales team will count on you to be a trusted adviser to clients while working with them to advise clients on measurement strategies using a mix of first and third party measurement solutions. You will solve complex clients problems and drive impactful results. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make For a specific set of advertisers, you will lead measurement research studies, managing the entire process from setup through to delivering results Be an advocate for Nextdoor’s measurement solutions within internal sales and account management teams, ensuring their effective implementation in client campaigns Lead the presentation of measurement research results, including insights and recommendations, to clients Conduct in-depth analyses to evaluate the effectiveness of various campaign tactics and create actionable best practices and playbooks Participate in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values Leverage AI tools to enhance day-to-day measurement workflows including automating repetitive analysis tasks, accelerating data summarization and continuously exploring new AI applications relevant to the measurement and analytics space What You’ll Bring To The Team Bachelor’s or Master’s degree in a quantitative field such as statistics, business analytics, or marketing 0-2 years of experience in digital analytics, marketing analytics, media measurement or similar experience at an advertiser, media platform, measurement provider, or media advertising agency An understanding of the measurement landscape, including lift and incrementality testing, attribution, foot traffic and conversion lift, as well as emerging trends in measurement Demonstrated client service background, you thrive in externally facing conversations, working with clients to understand their campaign goals and accordingly recommend measurement opportunities A strong track record partnering across sales, account management and product teams to drive towards a common outcome Clear and concise communication; comfortable with presenting campaign and measurement insights and recommendations to senior stakeholders Ability to handle multiple projects simultaneously in a fast-paced, high-growth environment Comfortable extracting and analyzing large datasets using SQL and or Python A strong passion for Nextdoor's mission Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting salary for this role is expected to range from $81,000 - $105,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate’s geographic location. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.", "summaryDescription" : "Measurement Analyst at Nextdoor. Skills: Measurement strategy, Data analysis, Client advising. Lead measurement research studies. Manage study process", "postedDate" : "2026-06-14T19:21:54.924", "createdAt" : "2026-06-14T19:21:54.924", "lastUpdated" : "2026-06-16T01:58:38.641", "ingestTimestamp" : "2026-06-14T19:21:54.924", "mongoId" : "6a2cda0c74d8ee00a0a4a9b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 81000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Digital analytics", "Marketing analytics", "Media measurement", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic analysis", "Conversion lift analysis", "Measurement strategy", "Data analysis", "Client advising", "Research studies", "Campaign analysis", "Best practices", "Playbook creation", "Measurement landscape", "Foot traffic", "Conversion lift", "Emerging measurement trends", "AI tools", "Claude", "Gemini", "ChatGPT", "Glean" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 460.363, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c68ca74d8ee00a0904c50", "title" : "Quantitative Developer", "company" : "TradingHub", "industry" : "Analytics & Data", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Quantitative Developer in London, UK, adjusted for the FinTech industry." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T03:36:13.356", "fingerprint" : "a5891dc60db14cae01d4de338056b5787054ced27c5889ecbb74887ecd41b7d6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/tradinghub/10a15c19-9c9e-4dda-b95c-e2936d618dea/application", "externalId" : "10a15c19-9c9e-4dda-b95c-e2936d618dea", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "C#, C++, Python", "professionalSkills" : [ "Financial modeling", "Risk algorithms" ], "hardSkillsList" : [ "Mathematical skills", "Analytical skills" ], "hardSkills" : [ { "name" : "Mathematical skills", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" } ], "majorSkills" : "Quantitative development, Pricing models, Financial markets", "majorSkillsList" : [ "Quantitative development", "Pricing models", "Financial markets" ], "coreResponsibilities" : "Design pricing models, Build pricing models, Validate pricing models, Create financial pricing libraries, Create calculators, Create risk algorithms, Develop financial pricing libraries, Develop calculators, Develop risk algorithms, Use in-house big data language, Perform large-scale analysis, Productionize securities data, Research market dynamics, Develop market dynamics, Prototype proprietary models, Test proprietary models, Validate proprietary models", "teamCollaboration" : "Fast-paced environment", "domainKnowledge" : "Financial markets; Multiple asset classes; Risk sensitivities; Greeks; Delta; Gamma; DV01; Derivatives; Swaps; Options; Futures", "domainList" : [ "financial-markets", "multiple-asset-classes", "risk-sensitivities", "greeks", "delta", "gamma", "dv01", "derivatives", "swaps", "options", "futures" ], "domainSpecificKnowledge" : [ "Financial markets", "Multiple asset classes", "Risk sensitivities", "Greeks", "Delta", "Gamma", "DV01", "Derivatives", "Swaps", "Options", "Futures" ], "toolProficiency" : [ "Big data language" ], "continuousLearning" : "Study leave", "innovationCreativity" : "Experiment with new ideas", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Proficiency with C#, C++ or Python, Exceptional mathematical and analytical skills, Initial industry experience as quant, Knowledge of risk sensitivities, Understanding of derivatives", "qualificationsPreferred" : "Capacity to put yourself in eyes of trader", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Compensation: Competitive (Financial Services) About TradingHub Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation. With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk. The Role We are seeking a Quantitative Developer to contribute in designing, building and validating our pricing models. This includes creating financial pricing libraries for multiple asset classes, calculators and risk algorithms. The successful candidate will combine excellent mathematical skills with proven experience in financial markets and the ability to productionise high-quality software. The capacity to put yourself in the eyes of a trader will be very useful as we continue to ensure our product’s capabilities are ahead of competitors in the market. Responsibilities: - Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms - Using our in-house big data language for the large-scale analysis and production of securities data - Research and development of market dynamics across multiple asset classes - Prototyping, testing, and validation of TradingHub’s proprietary models Requirements - Proficiency with C#, C++ or Python - Evidence of exceptional mathematical and analytical skills - Initial industry experience working as a quant within a financial services organisation - Some knowledge of risk sensitivities or \"Greeks\" such as Delta, Gamma, DV01 etc. - Understanding of derivatives (e.g. swaps, options, futures) - Confidence to experiment with new ideas and technologies - Keen to work in a fast-paced environment Benefits Life at TradingHub is a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of technology and global markets, we’re able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success. Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These values provide the foundation for a sustainable workplace culture that empowers you to grow, contribute, and become your best self. Employee Benefits: - Annual discretionary performance bonus (permanent employees only) - Hybrid working policy - Office lunches twice a week - Private medical insurance + dental cover - Extended parental leave (up to 6 months of fully paid maternity leave) - 25 days annual leave + bank holidays - Enhanced company pension plan - 5 days study leave towards professional qualifications - Salary sacrifice schemes - Death in service coverage Don’t tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don't let our specification hold you back. Get in touch! TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socio-economic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications. We are committed to making our recruitment process accessible to all and we encourage candidates to inform us of any required adjustments. A full copy of our diversity, equity and inclusion policy will be made available to you upon request.", "summaryDescription" : "Quantitative Developer at TradingHub. Skills: Quantitative development, Pricing models, Financial markets. Design pricing models. Build pricing models", "createdAt" : "2026-06-14T19:20:30.123", "lastUpdated" : "2026-06-16T03:36:13.356", "ingestTimestamp" : "2026-06-14T19:20:30.123", "mongoId" : "6a2c68ca74d8ee00a0904c50", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Mathematical skills", "Analytical skills", "Quantitative development", "Pricing models", "Financial markets", "Financial modeling", "Risk algorithms", "Multiple asset classes", "Risk sensitivities", "Greeks", "Delta", "Gamma", "DV01", "Derivatives", "Swaps", "Options", "Futures", "Big data language" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 459.91138, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c75ec74d8ee00a09388a3", "title" : "Quantitative Developer", "company" : "Poesis", "industry" : "Engineering", "salary" : { "min" : 180000.0, "max" : 280000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T02:57:35.521", "fingerprint" : "3b2dc2fae32d1b45fec189e17e460b6008dc79f71883911d9bec5cf31a69d6a2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/poesis/95065a70-aa63-4469-b98c-087201a28d77/application", "externalId" : "95065a70-aa63-4469-b98c-087201a28d77", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Menlo Park", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4519671,-122.1779920" } ], "locationText" : "Menlo Park, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, Pandas, Numpy, Scipy, Matplotlib, SQL, Claude Code, Codex", "professionalSkills" : [ "Feature generation", "Back-testing", "Model evaluation", "Data schemas", "APIs", "Reproducibility standards" ], "hardSkillsList" : [ "Statistics", "Regression", "Optimization", "ML fundamentals" ], "softSkillsList" : [ "Clear communicator" ], "hardSkills" : [ { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Optimization", "level" : "intermediate" }, { "name" : "ML fundamentals", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Clear communicator" } ], "majorSkills" : "Quantitative research, Model implementation, Data pipelines", "majorSkillsList" : [ "Quantitative research", "Model implementation", "Data pipelines" ], "coreResponsibilities" : "Implement and iterate on research ideas, Implement model prototypes, Clean financial datasets, Process financial datasets, Join financial datasets, Build processes for feature generation, Build processes for back-testing, Build processes for model evaluation, Maintain processes for feature generation, Maintain processes for back-testing, Maintain processes for model evaluation, Run experiments, Summarize results, Report findings to leadership, Contribute to code quality, Support defining data schemas, Support defining APIs, Support defining reproducibility standards, Implement models, Test models, Refine models, Implement signals, Test signals, Refine signals, Implement analytical workflows, Test analytical workflows, Refine analytical workflows, Maintain consistent cadence of deliverables, Focus on iteration speed, Focus on reliability", "teamCollaboration" : "Engineering leadership; Chief Scientist; CEO", "domainKnowledge" : "Financial datasets; Portfolio optimization; Risk modeling; Financial time-series", "domainList" : [ "financial-datasets", "portfolio-optimization", "risk-modeling", "financial-time-series" ], "domainSpecificKnowledge" : [ "Financial datasets", "Portfolio optimization", "Risk modeling", "Financial time-series" ], "toolProficiency" : [ "Git", "Docker", "Prefect", "Airflow" ], "communicationSkills" : "Explain technical findings", "documentationSkills" : "Documentation", "innovationCreativity" : "Research ideas; Model prototypes", "problemSolvingSkills" : "Analytical workflows", "specialRequirements" : "Work visa sponsorship", "qualificationsBasic" : "Python skills, SQL comfort, Claude Code, Codex, or other coding agents skill, Real-world financial datasets proficiency, Reproducible analyses or pipelines building, Statistics understanding, Regression understanding, Optimization understanding, ML fundamentals understanding, Clear communicator, BS/MS/PhD in Computer Science, Mathematics, Statistics, Physics, Finance or related quantitative field", "qualificationsPreferred" : "Prior full-time experience in finance, data science, or ML engineering, Early-stage startup experience, Demonstrated builder mindset", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT POESIS Whoever builds the leading intelligence for finance will create far more than returns. Poesis is the AI-native investment firm running autonomous agents that predict markets, construct portfolios, and manage risk. Our founders managed institutional capital at Capital Group ($3T AUM) and led enterprise ML at Goldman Sachs and Amazon. We're building a new type of firm, where live capital is the training ground for an intelligence that compounds with every signal. ABOUT THE ROLE We’re hiring a Quantitative Developer to help turn research ideas into production-grade code. You’ll help build data pipelines, implement models and ensure results are clean, reproducible and explainable. You’ll work alongside Poesis’ Chief Scientist, CEO and engineering leadership to turn large-scale data and quantitative research into models, signals and tools that drive investment decision-making. RESPONSIBILITIES - Rapidly implement and iterate on research ideas and model prototypes. - Clean, process, and join financial and fundamental datasets from professional and public sources. - Build and maintain processes for feature generation, back-testing, and model evaluation. - Run experiments, summarize results, and report findings to leadership. - Contribute to code quality: testing, documentation, and integration into shared systems. - Support the team in defining data schemas, APIs, and reproducibility standards. - Implement, test, and refine models, signals, and analytical workflows. - Maintain a consistent cadence of deliverables, focusing on iteration speed and reliability. REQUIRED COMPETENCIES - Strong Python skills (pandas, numpy, scipy, matplotlib); comfort with SQL. - Skill working with Claude Code, Codex, or other coding agents. - Proficiency working with real-world financial datasets and building reproducible analyses or pipelines. - Understanding of statistics, regression, optimization, and ML fundamentals. - Clear communicator who can explain technical findings to non-specialists. - BS/MS/PhD in Computer Science, Mathematics, Statistics, Physics, Finance or related quantitative field. PREFERRED COMPETENCIES - Prior full-time experience in finance, data science, or ML engineering. - Familiarity with APIs from Bloomberg, CapIQ, FactSet, or Refinitiv. - Exposure to portfolio optimization, risk modeling, or financial time-series. - Skill with git, Docker, and modern orchestration tools (Prefect, Airflow, etc.). - Early-stage startup experience or demonstrated builder mindset. LOCATION Hybrid: 3 days per week on-site at our office in Menlo Park, CA. Relocation allowance available. BENEFITS We offer excellent medical, dental, and vision coverage, alongside a strong benefits package that includes catered lunches in our Menlo Park office, commuter benefits, and more. Current legal authorization to work in the US required; continuing work visa sponsorship available for full-time employees. WORKING AT POESIS As an early team member, you’ll help shape not just the product, but how the company operates. Your decisions will have lasting impact across the business. You’ll build from first principles, with no legacy systems, or entrenched processes slowing you down. Our team is made up of people from elite companies and universities who are low ego, collaborative, and excited to build together.", "summaryDescription" : "Quantitative Developer at Poesis. Skills: Quantitative research, Model implementation, Data pipelines. Implement and iterate on research ideas. 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Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities Design, implement and deploy trading algorithms Support live trade strategies in production Research high to mid frequency alphas Explore trading ideas by analyzing market data, market microstructure and alternate data for patterns Present research results transparently and convincingly Create tools to analyze data for patterns and develop data platforms Contribute to libraries of analytical computations to support market data analysis and trading Develop, augment and calibrate exchange simulators Part-time work from home benefits Qualifications Bachelor’s degree or foreign equivalent in Mathematics, Statistics, Computer Science, or related STEM field Experience may be gained from coursework or internship. Must have experience with the following: Derivatives pricing and stochastic calculus Machine Learning including LLM Probability Theory Mathematics and statistics Back-testing, simulation, and statistical techniques, including auto-regression, auto-correlation and Principal Component Analysis Data mining and analysis skills, including experience dealing with a large amount of data Signal generation and statistical models Programming skills in Python or C++ Anticipated New York annual base salary range $125,000-$250,000, plus eligible for discretionary bonus. If interested, in addition to applying here you can email your resume indicating job # ID 00088964 to: Tower HR at us-ta@tower-research.com. Benefits Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: Generous paid time off policies Savings plans and other financial wellness tools available in each region Hybrid working opportunities Free breakfast, lunch, and snacks daily In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more) Volunteer opportunities and charitable giving Social events, happy hours, treats, and celebrations throughout the year Workshops and continuous learning opportunities At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together. Tower Research Capital is an equal opportunity employer. #LI-DNI", "summaryDescription" : "Quantitative Trader at Tower Research Capital", "postedDate" : "2026-06-14T18:00:11.985", "createdAt" : "2026-06-14T18:00:11.985", "lastUpdated" : "2026-06-15T22:18:02.314", "ingestTimestamp" : "2026-06-14T18:00:11.985", "mongoId" : "6a2c6b5574d8ee00a09115d8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 450000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 442.02307, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3079f5f292fd229c0365f0", "title" : "Quantitative Researcher - Macro Assets", "company" : "Man Group", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Quantitative Researcher in London, adjusted for the financial services industry and a large company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T12:04:26.270", "fingerprint" : "2de1383a9597a3c8edb8df0cca380508a9f66fddb2e459b62ed31e2bf9082317", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/mangroup/jobs/4880305101", "externalId" : "4880305101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "remoteFriendly" : true, "rawDescription" : "About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com * As at 31 December 2025 The Team AHL Global Macro is the business unit responsible for global macro strategies across all asset classes. The team trade all markets, from liquid to alternative universe, with strategies spanning multiple holding periods. This role sits within the AHL Global Trend And Volatility sector. This role's research mission is to model the behaviour of global macro assets and identify alpha signals, with a particular focus on understanding and modelling what drives trends in macro assets and the timing of this style. The Role You will conduct original alpha research on global macro assets, building and testing predictive signals that inform live trading strategies. You will work across the full research lifecycle — from hypothesis generation and statistical modelling through to implementation and ongoing performance analysis — with direct exposure to live strategy management. Day-to-day you will: Research and develop alpha signals across global macro asset classes, with a focus on trend timing and directional strategies Model the dynamics of macro assets (rates, FX, equities, commodities) to identify exploitable patterns Design and evaluate predictive signals using rigorous statistical and quantitative methods Contribute to portfolio construction and risk analysis across the sector's strategies Monitor live strategy performance and translate observations back into research hypotheses Collaborate with researchers across AHL Global Macro and contribute to the broader research agenda Technology and Business Skills: 2+ years of experience researching alpha signals across macro assets Solid grounding in statistical and mathematical modelling; able to choose the right tool for the right problem Strong Python skills; comfortable working with large financial datasets Understanding of portfolio construction and risk analysis Familiarity with transaction costs and their impact on signal design is a plus Personal Attributes Strong academic record with a degree in a quantitative discipline — Mathematics, Statistics, Physics, Computer Science, Engineering or Economics from a leading university; a PhD or Master's is advantageous Intellectually curious with a genuine interest in financial markets and the macro forces that move them Hands-on and rigorous: you enjoy following an idea all the way from intuition to tested, implemented signal Self-organised with the ability to manage multiple research threads in parallel Clear communicator: able to present quantitative findings concisely and engage constructively with alternative views Collaborative; comfortable working closely with researchers, technologists and portfolio managers Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. 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Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com * As at 31 December 2025 THE TEAM Man Group's quantitative investment engines, AHL and Numeric, are aligning under Systematic (USD ~138bn AUM). As part of this integration, we are expanding our Investment and Data Implementation (IDI) team, which has supported AHL for many years, into a new Boston-based team supporting the Man Numeric business. The global IDI team spans Hong Kong, Sofia, London and now Boston. The Boston team is responsible for implementing all new business and portfolios (funds, Separately Managed Accounts (SMAs), and investment strategies), maintaining the integrity of systematic models, and steering the long-term development of our trading initiatives. Our mission is to ensure every quantitative strategy is implemented with precision and aligned with its investment objectives, from initial research idea through to the last trade. Though Boston-based and focused primarily on Man Numeric’s content, as part of Systematic, you will be part of a connected global network, sharing tooling, codebase, and implementation capabilities across all four locations. The problems the team solves are diverse, complex, and high-impact. The team is the primary responder when production issues halt the investment managers, requiring rapid diagnosis and resolution without introducing new risks. The team are the operational architects who translate a researcher’s ideal strategy or portfolio into a robust, scalable solution, balancing speed, resilience, and business logic. The team also works closely with other areas such as Portfolio Management and Trading to explain why an algorithm and portfolio optimizer generated specific trades. Finally, we partner with technologists to help design trading architecture that is automated, scalable, and transparent enough for manual intervention when necessary. This role offers exceptional exposure. Man Group's flat structure means your work is widely visible across the group, you will be working with portfolio managers, quantitative researchers, product structuring specialists, and traders, with the opportunity and expectation to contribute, propose solutions, and make decisions regardless of seniority. You’ll be supported throughout and as you build confidence, you will represent the global IDI team on cross-departmental working groups and present findings directly to senior management. THE ROLE We are seeking a highly motivated professional to bridge quantitative research, portfolio management, technology, trading, and middle the ability to interact confidently with portfolio managers and domain experts Dependable judgment under pressure A relentless focus on delivering value to the business and improving implementation processes Advantageous: High level understanding of quantitative investment processes and portfolio construction Experience with portfolio management and/or trading systems, along with proficiency in data analysis and process automation Experience delivering or steering complex projects, such as fund or Separately Managed Account (SMA) launches Commercial experience or a strong interest in using AI tools to drive workflow efficiency and business insights Generalist experience and exposures within buy-side systematic investment (Implementation, Front Office, Middle Office or Trade Operations) Ability to use SQL and an object-oriented language (preferably Python) to investigate data and prototype solutions Proficiency in data reasoning techniques and relevant libraries (e.g., Pandas) The anticipated based salary range for this position is listed below. Compensation packages would also include benefits and a discretionary bonus. This is the base salary range that the Company believes it will pay for this position at the time of this posting based on the location and requirements of the position as well as the skills, qualifications, and experience of the applicant. The Firm reserves the right to modify this pay range at any time. US Pay Range $85,000—$100,000 USD Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. 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You will learn how trading ideas are researched, tested, and deployed, while contributing to live strategy development from early in your career. Your Core Responsibilities: Research and test data-driven trading ideas Analyse large and complex datasets from cryptocurrency exchanges, DeFi protocols, and financial markets Build, test, and improve models, signals, and algorithms that support trading strategies Work with IMC’s cutting-edge data, software, and high-performance computing infrastructure Collaborate closely with researchers, developers, and engineers to turn research into production-ready strategies Learn how to evaluate trading opportunities with a focus on performance, scalability, robustness, and risk Your Skills and Experience: Final-year student or recent graduate in Mathematics, Statistics, Physics, Computer Science, Engineering or a related quantitative field Strong analytical and problem-solving skills, with the ability to learn quickly Programming experience, ideally in Python. Familiarity with C++ is a plus A genuine interest in financial markets, trading, crypto, or DeFi Comfortable working with data and applying quantitative methods to real-world problems Curious, collaborative, and eager to take ownership in a fast-moving environment Prior experience in trading, crypto, or financial markets is helpful but not required. This is an on-site role based in Zug, Switzerland, with very limited flexibility for working from home. About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.", "summaryDescription" : "Graduate Quantitative Researcher at IMC. Skills: Quantitative research, Data analysis, Model development. Research trading ideas. Test trading ideas", "postedDate" : "2026-06-14T20:07:21.715", "createdAt" : "2026-06-14T20:07:21.715", "lastUpdated" : "2026-06-16T02:14:32.543", "ingestTimestamp" : "2026-06-14T20:07:21.715", "mongoId" : "6a2c96fa74d8ee00a09910b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Quantitative methods", "Quantitative research", "Data analysis", "Model development", "Quantitative analysis", "Financial markets", "Trading", "Cryptocurrency", "DeFi", "Quantitative trading" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 435.7972, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c76fb74d8ee00a093b688", "title" : "Quantitative Trading Strategist", "company" : "Voleon", "industry" : "Trading", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Berkeley, CA", "locations" : [ "Berkeley, CA" ], "timestamp" : "2026-06-15T05:22:08.550", "fingerprint" : "67404b9f8f52167ea15a903d78647dab59326618fdbcd4bf2cc5bd9a68bcc843", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/voleon/c295e1bc-e188-4da9-a9c3-fb7d430087e4/application", "externalId" : "c295e1bc-e188-4da9-a9c3-fb7d430087e4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berkeley", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.8708393,-122.2728630" } ], "locationText" : "Berkeley, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, R", "professionalSkills" : [ "Algorithmic execution", "Securities lending", "Portfolio financing", "Market microstructure" ], "hardSkillsList" : [ "Statistical methods", "Production code development" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Production code development", "level" : "intermediate" } ], "majorSkills" : "Quantitative trading, AI/ML, Investment management", "majorSkillsList" : [ "Quantitative trading", "AI/ML", "Investment management" ], "coreResponsibilities" : "Measure algorithmic execution quality, Improve algorithmic execution quality, Conduct high quality research, Create relevant reports, Present findings, Write high-quality production code, Design new packages, Develop new packages, Design data pipelines, Develop data pipelines, Design production trading applications, Develop production trading applications, Collaborate with trading team, Collaborate with RnD team, Improve trading strategies, Provide domain expertise, Manage relationships external brokers, Manage relationships trading partners", "teamCollaboration" : "Across teams; Trading and RnD team members", "domainKnowledge" : "Market microstructure; Asset classes", "domainList" : [ "market-microstructure", "asset-classes" ], "domainSpecificKnowledge" : [ "Market microstructure", "Asset classes" ], "communicationSkills" : "Present research findings", "qualificationsBasic" : "3+ years quantitative trading experience, Bachelor's degree scientific quantitative discipline, Proficient in basic statistics, Comprehensive market microstructure understanding", "remoteFriendly" : false, "rawDescription" : "Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. As a QTS, you will use deep markets knowledge alongside quantitative skills to improve the implementation of systematic trading strategies. Domains include improving algorithmic execution, securities lending, and portfolio financing across a variety of asset classes and markets. You will work at the intersection of trading and research on problems that require market domain expertise but also statistical and quantitative rigor. RESPONSIBILITIES - Measure and improve algorithmic execution quality across asset classes - Conduct high quality research across a variety of market related topics and asset classes. Create relevant reports and present findings across teams - Write high-quality production level code. Design and develop new packages, data pipelines and production trading applications - Collaborate with trading and RnD team members to improve our trading strategies - Provide domain expertise in market microstructure across asset classes to other members of trading and RnD - Manage relationships with external brokers and trading partners REQUIREMENTS - 3+ years of experience in a quantitative trading environment with an emphasis on quantitative research - Bachelor’s degree in a scientific or quantitative discipline - Highly capable in python, R, and SQL; with the ability to write production level code and develop across teams - Proficient in basic statistics with an ability to apply valid statistical methods to judge outcomes from real-world data - Comprehensive understanding of market micro-structure and a passion for markets - Ability to effectively communicate across teams and present research findings in a clear and concise manner “FRIENDS OF VOLEON” CANDIDATE REFERRAL PROGRAM If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form https://voleon.com/referrals/ to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program https://voleon.com/assets/Voleon-Referral-Bonus-Program.pdf. EQUAL OPPORTUNITY EMPLOYER The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.", "summaryDescription" : "Quantitative Trading Strategist at Voleon. Skills: Quantitative trading, AI/ML, Investment management. Measure algorithmic execution quality. Improve algorithmic execution quality", "createdAt" : "2026-06-13T22:06:41.300", "lastUpdated" : "2026-06-15T05:22:08.550", "ingestTimestamp" : "2026-06-13T22:06:41.300", "mongoId" : "6a2c76fb74d8ee00a093b688", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Production code development", "Quantitative trading", "AI/ML", "Investment management", "Algorithmic execution", "Securities lending", "Portfolio financing", "Market microstructure", "Asset classes" ], "skillCount" : 10, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 428.38638, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c2b74d8ee00a094c82a", "title" : "Quantitative Researcher", "company" : "Man Group", "industry" : "FinTech", "salary" : { "min" : 220000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Quantitative Researcher in the United States, adjusted for Seniority, FinTech industry, and Massachusetts location." }, "location" : "Massachusetts", "locations" : [ "Massachusetts" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T05:05:00.246", "fingerprint" : "582ad6193055169e82de1f1852baa0dd22b6d1d356850c35985b0295491677d1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/mangroup/jobs/4737145101", "externalId" : "4737145101", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Massachusetts", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Massachusetts, United States", "minimumEducation" : "Master's", "technicalSkills" : "Python, R, SQL, Spark, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Alpha research", "Monetization algos", "Execution algos", "Market impact modelling", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Statistics", "Machine learning", "Programming", "Data handling", "Tick data analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Intellectual integrity", "Interpersonal adaptability" ], "hardSkills" : [ { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Programming", "level" : "intermediate" }, { "name" : "Data handling", "level" : "intermediate" }, { "name" : "Tick data analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Intellectual integrity" }, { "name" : "Interpersonal adaptability" } ], "majorSkills" : "Quantitative research, Machine learning, Data science, Algorithmic trading", "majorSkillsList" : [ "Quantitative research", "Machine learning", "Data science", "Algorithmic trading" ], "coreResponsibilities" : "Conduct alpha research, Design monetization algos, Design execution algos, Model market impact, Apply statistics to problems, Apply ML to problems, Handle large data sets, Handle tick data", "teamCollaboration" : "Close collaboration; Quantitative researchers; Technologists; Traders; Business people", "projectManagementSkills" : [ "Time management" ], "domainKnowledge" : "Alternative investment; Systematic strategies; Market structure; Trading venues; Asset classes; Cash Equities; Futures; FX; Options; High-frequency trading; Microstructure", "domainList" : [ "alternative-investment", "systematic-strategies", "market-structure", "trading-venues", "asset-classes", "cash-equities", "futures", "fx", "options", "high-frequency-trading", "microstructure" ], "domainSpecificKnowledge" : [ "Alternative investment", "Systematic strategies", "Market structure", "Trading venues", "Asset classes", "Cash Equities", "Futures", "FX", "Options", "High-frequency trading", "Microstructure" ], "toolProficiency" : [ "Python", "R", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "MLflow", "SageMaker", "Vertex AI", "ML Studio" ], "communicationSkills" : "Argue a point; Deal with views", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Analytic approach; Problem solving", "outcomesObjectives" : "Maximise realized P", "qualificationsBasic" : "Master's qualification, Quantitative subject, Analytic approach, Programming language, Python/R, Handling large data, Tick data", "qualificationsPreferred" : "PhD qualification, Knowledge of market structure, Knowledge of trading venues, Knowledge of microstructure, Experience in intraday alpha research, Experience in building ML models, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com * As at 31 December 2025 Algo Research Team Algo Research team is responsible for alpha research across a wide range of time-scales (from high-frequency up to ~48 hours), design of monetization/execution algos and market impact modelling across all major asset classes (including Cash Equities, Futures, FX, Options). We work in close collaboration with various systematic research teams across Man Group to maximise realized P recognised by peers as an expert in one’s domain Deep understanding of statistics/ML and an ability to apply it to real world problems Expertise in a high-level programming language such as Python/ R Advantageous Knowledge of market structure, participants, trading venues and microstructure of at least one of the major asset classes Experience in intraday alpha research Experience in building ML models Experience with handling large data sets and tick data Personal Attributes PhD or exceptional Masters / Bachelor’s qualification in a quantitative subject Intellectual integrity with a keenly analytic approach to problem solving Ability to deliver projects with high commercial value Hands-on attitude; willing to get involved with technology and projects across the firm Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Strong interpersonal skills; adaptability and ability to establish and maintain a close working relationship with quantitative researchers, technologists, traders and senior business people alike Confident communicator, able to argue a point concisely and deal positively with conflicting views The anticipated based salary range for this position is listed below. Compensation packages would also include benefits and a discretionary bonus. This is the base salary range that the Company believes it will pay for this position at the time of this posting based on the location and requirements of the position as well as the skills, qualifications, and experience of the applicant. The Firm reserves the right to modify this pay range at any time. US Pay Range $120,000—$140,000 USD Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.", "summaryDescription" : "Quantitative Researcher at Man Group. Skills: Quantitative research, Machine learning, Data science, Algorithmic trading. Conduct alpha research. 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Core supervision; High-level exposure; Discuss research results; Present research results; Incorporate feedback", "projectManagementSkills" : [ "End-to-end research project ownership" ], "domainKnowledge" : "Systematic equity; Alpha signals; Medium-frequency; Statistical arbitrage; Predictive value; Systematic trading; Complex datasets; Real-world data", "domainList" : [ "systematic-equity", "alpha-signals", "medium-frequency", "statistical-arbitrage", "predictive-value", "systematic-trading", "complex-datasets", "real-world-data" ], "domainSpecificKnowledge" : [ "Systematic equity", "Alpha signals", "Medium-frequency", "Statistical arbitrage", "Predictive value", "Systematic trading", "Complex datasets", "Real-world data" ], "communicationSkills" : "Communicate complex results; Present research results", "documentationSkills" : "Document work cleanly", "continuousLearning" : "Mentorship", "problemSolvingSkills" : "Rigorous backtesting; Diagnosing overfitting; Questioning assumptions", "outcomesObjectives" : "Iterate towards deployable outcomes", "qualificationsBasic" : "Bachelor's in computer science, Bachelor's in statistics, Bachelor's in machine learning, Bachelor's in signal processing, Bachelor's in optimization, Bachelor's in mathematics, Bachelor's in physics, Master's in computer science, Master's in statistics, Master's in machine learning, Master's in signal processing, Master's in optimization, Master's in mathematics, Master's in physics, PhD in computer science, PhD in statistics, PhD in machine learning, PhD in signal processing, PhD in optimization, PhD in mathematics, PhD in physics, Proficiency in Python, Solid understanding of data structures, Solid understanding of algorithmic complexity, Solid understanding of numerical libraries, Demonstrated ability to conduct research, Ability to communicate complex results", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com * As at 31 December 2025 Location: Hong Kong SAR Duration: 3–4 months, starting 2026 Eligibility: Final year students (Bachelor's, Master's, or PhD) The Team Join the Specialist Equities team, a small and collaborative systematic equity research group focused on developing medium-frequency statistical arbitrage alpha signals. You will receive day-to-day mentorship from a quantitative researcher in Hong Kong, with core supervision and high-level exposure to portfolio managers and senior management in London. Position Overview You will own a research project end-to-end, taking a disciplined scientific approach to form hypotheses, construct signals, and iterate towards deployable outcomes. The project scope is defined on our side and will be closely tailored to your specific background and strengths once we've met you. During the internship, you will: Research time-series methods, advanced statistical techniques, and machine learning models to extract predictive value from complex datasets. Analyze large, noisy, real-world data sets to identify systematic trading opportunities. Help develop statistical and ML-based tools and techniques to solve complex data-related problems throughout the research process. Typical Day Your primary focus throughout the day will be on researching new statistical techniques, exploring datasets, and prototyping signal variants. Apply critical thinking at every step—rigorously backtesting ideas, diagnosing overfitting, and questioning your own assumptions. Discuss and present research results with your immediate team, portfolio managers, and senior management, actively incorporating their feedback. Document your work cleanly and clearly so colleagues can easily build upon your findings. Required Qualifications Quantitative Background: Pursuing a Bachelor's, Master's, or PhD in computer science, statistics, machine learning, signal processing, optimization, mathematics, physics, or a related STEM subject. Research Excellence: Demonstrated ability to conduct high-quality, in-depth, and rigorous research on real-world data, along with the ability to communicate complex results clearly to both technical peers and senior stakeholders. Programming Proficiency: Strong proficiency in Python, with a solid understanding of data structures, algorithmic complexity, and numerical libraries (e.g., pandas, numpy). Statistical if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.", "summaryDescription" : "Quantitative Research Intern at Man Group. Skills: Quantitative research, Machine learning, Statistical analysis. Research time-series methods. 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US biopharma, CRO, academic, or assay development customer segments." ], "hardSkillsList" : [ "bioassay workflows", "reagent-based assays", "cell-based assays", "reporter systems", "plate-based detection technologies" ], "softSkillsList" : [ "collaboration" ], "hardSkills" : [ { "name" : "bioassay workflows", "level" : "intermediate" }, { "name" : "reagent-based assays", "level" : "intermediate" }, { "name" : "cell-based assays", "level" : "intermediate" }, { "name" : "reporter systems", "level" : "intermediate" }, { "name" : "plate-based detection technologies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "collaboration" } ], "majorSkills" : "product management, product marketing, market analysis, customer needs, cross-functional collaboration", "majorSkillsList" : [ "product management, product marketing, market analysis, customer needs, cross-functional collaboration" ], "coreResponsibilities" : "Understand customer needs and workflows across bioassays, functional assays, reagent-based assays, and related application areas. Conduct voice-of-customer interviews with biopharma, CRO, academic, and assay development customers. Analyze market trends, customer segments, competitive landscape, pricing dynamics, and application requirements. Support product positioning, messaging, value proposition, and differentiation. Work cross-functionally with R&D, sales, marketing, and regional teams to translate market needs into product and commercial plans. Develop go-to-market materials, sales tools, customer-facing content, and launch support plans. Identify KOLs, key accounts, and collaboration opportunities to support market development.", "teamCollaboration" : "Work cross-functionally with R&D, sales, marketing, and regional teams.", "projectManagementSkills" : [ "launch readiness" ], "communicationSkills" : "communication; analytical", "problemSolvingSkills" : "product positioning; launch planning; sales enablement", "specialRequirements" : "Candidate must reside within the United States.", "outcomesObjectives" : "Drive commercial adoption of products.", "qualificationsBasic" : "5+ years of experience in product management, product marketing, market development, or business development in life sciences tools, reagents, assays, or biotech solutions. Familiarity with bioassay workflows, reagent-based assays, cell-based assays, reporter systems, or plate-based detection technologies. Experience with VOC, market analysis, competitive assessment, product positioning, launch planning, and sales enablement. commercial sense and ability to translate customer needs into actionable product and marketing strategy. Excellent communication, analytical, and cross-functional collaboration skills.", "qualificationsPreferred" : "Supporting assay, reagent, or molecular biology product portfolios. Prior experience in new product launch, market development, or application-driven product marketing. Good understanding of US biopharma, CRO, academic, or assay development customer segments. Experience working with cross-functional global teams.", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About GenScript GenScript Biotech Corporation (Stock Code: 1548.HK) is a global biotechnology group. Founded in 2002, GenScript has an established global presence across North America, Europe, the Greater China, and Asia Pacific. GenScript's businesses encompass four major categories based on its leading gene synthesis technology, including operation as a Life Science CRO, enzyme and synthetic biology products, biologics development and manufacturing, and cell therapy. GenScript is committed to striving towards its vision of being the most reliable biotech company in the world to make humans and nature healthier through biotechnology. We are looking for a US-based Product Management / Product Marketing professional to support assay-related product initiatives for life science and biopharma applications. This role will focus on customer workflow understanding, market insights, product positioning, launch readiness, and commercial adoption. This role can be fully remote, but the candidate must reside within the United States. Key Responsibilities Understand customer needs and workflows across bioassays, functional assays, reagent-based assays, and related application areas. Conduct voice-of-customer interviews with biopharma, CRO, academic, and assay development customers. Analyze market trends, customer segments, competitive landscape, pricing dynamics, and application requirements. Support product positioning, messaging, value proposition, and differentiation. Work cross-functionally with R&D, sales, marketing, and regional teams to translate market needs into product and commercial plans. Develop go-to-market materials, sales tools, customer-facing content, and launch support plans. Identify KOLs, key accounts, and collaboration opportunities to support market development. Requirements 5+ years of experience in product management, product marketing, market development, or business development in life sciences tools, reagents, assays, or biotech solutions. Familiarity with bioassay workflows, reagent-based assays, cell-based assays, reporter systems, or plate-based detection technologies. Experience with VOC, market analysis, competitive assessment, product positioning, launch planning, and sales enablement. Strong commercial sense and ability to translate customer needs into actionable product and marketing strategy. Excellent communication, analytical, and cross-functional collaboration skills. Preferred Experience supporting assay, reagent, or molecular biology product portfolios. Prior experience in new product launch, market development, or application-driven product marketing. Good understanding of US biopharma, CRO, academic, or assay development customer segments. Experience working with cross-functional global teams. #LI-EB1 #GS GenScript USA Inc/ProBio Inc. is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is the Company's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law. GenScript USA Inc./ProBio Inc. maintains a drug-free workplace. Please note: Genscript USA Inc./ProBio Inc. will only contact candidates through verified application sources. GenScript/Probio does not request personal information from candidates through individual email or any other platform.", "summaryDescription" : "Product Manager, Gene to Protein Lab Essentials at GenScript/ProBio. Skills: product management, product marketing, market analysis, customer needs, cross-functional collaboration. Understand customer needs and workflows across bioassays, functional assays, reagent-based assays, and related application areas. Conduct voice-of-customer interviews with biopharma, CRO, academic, and assay development customers. Analyze market trends, customer segments, competitive landscape, pricing dynamics, and a", "postedDate" : "2026-06-14T21:42:16.439", "createdAt" : "2026-06-14T21:42:16.439", "lastUpdated" : "2026-06-15T11:16:31.059", "ingestTimestamp" : "2026-06-14T21:42:16.439", "mongoId" : "6a2cd91574d8ee00a0a47249", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "bioassay workflows", "reagent-based assays", "cell-based assays", "reporter systems", "plate-based detection technologies", "collaboration", "product management, product marketing, market analysis, customer needs, cross-functional collaboration", "Life sciences tools, reagents, assays, or biotech solutions. US biopharma, CRO, academic, or assay development customer segments.", "launch readiness" ], "skillCount" : 9, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 420.70193, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cda0c74d8ee00a0a4a9b6", "title" : "Measurement Analyst", "company" : "Nextdoor", "industry" : "Technology", "salary" : { "min" : 81000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States", "Chicago", "Illinois", "United States", "New York", "New York", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T08:32:15.710", "fingerprint" : "d7e3dceb65465e1fd815ee1f33e8c98fe96ac047e740bb412dbdb11509658999", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://about.nextdoor.com/careers-list/?gh_jid=8003681", "externalId" : "8003681", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, AI", "professionalSkills" : [ "Measurement strategy", "Client service", "Data analysis" ], "hardSkillsList" : [ "Digital analytics", "Marketing analytics", "Media measurement", "Lift testing", "Incrementality testing", "Attribution modeling", "Foot traffic analysis", "Conversion lift analysis" ], "hardSkills" : [ { "name" : "Digital analytics", "level" : "intermediate" }, { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Media measurement", "level" : "intermediate" }, { "name" : "Lift testing", "level" : "intermediate" }, { "name" : "Incrementality testing", "level" : "intermediate" }, { "name" : "Attribution modeling", "level" : "intermediate" }, { "name" : "Foot traffic analysis", "level" : "intermediate" }, { "name" : "Conversion lift analysis", "level" : "intermediate" } ], "majorSkills" : "Measurement, Data analysis, Client advising", "majorSkillsList" : [ "Measurement", "Data analysis", "Client advising" ], "coreResponsibilities" : "Lead measurement research studies, Manage research process, Deliver research results, Advocate measurement solutions, Implement measurement solutions, Present research results, Conduct in-depth analyses, Evaluate campaign tactics effectiveness, Create best practices, Create playbooks, Leverage AI tools, Automate analysis tasks, Accelerate data summarization, Explore AI applications", "teamCollaboration" : "Work with sales team; Partner with sales; Partner with account management; Partner with product teams", "domainKnowledge" : "Measurement landscape; First party measurement; Third party measurement; AI-first environment", "domainList" : [ "measurement-landscape", "first-party-measurement", "third-party-measurement", "ai-first-environment" ], "domainSpecificKnowledge" : [ "Measurement landscape", "First party measurement", "Third party measurement", "AI-first environment" ], "toolProficiency" : [ "Claude", "Gemini", "ChatGPT", "Glean" ], "communicationSkills" : "Present insights; Present recommendations", "problemSolvingSkills" : "Solve complex problems", "specialRequirements" : "Participate in events, Attend trainings, Attend off-sites, Volunteer days, Team building exercises, Build in-person relationships", "outcomesObjectives" : "Drive impactful results", "qualificationsBasic" : "Bachelor's or Master's degree, 0-2 years experience, SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Measurement Analyst at Nextdoor, you’ll work at the forefront of strategizing and recommending measurement strategies for our advertisers. As experts in measurement and data, we provide essential technical support to our sales team and deliver value to our clients. Our sales team will count on you to be a trusted adviser to clients while working with them to advise clients on measurement strategies using a mix of first and third party measurement solutions. You will solve complex clients problems and drive impactful results. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make For a specific set of advertisers, you will lead measurement research studies, managing the entire process from setup through to delivering results Be an advocate for Nextdoor’s measurement solutions within internal sales and account management teams, ensuring their effective implementation in client campaigns Lead the presentation of measurement research results, including insights and recommendations, to clients Conduct in-depth analyses to evaluate the effectiveness of various campaign tactics and create actionable best practices and playbooks Participate in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values Leverage AI tools to enhance day-to-day measurement workflows including automating repetitive analysis tasks, accelerating data summarization and continuously exploring new AI applications relevant to the measurement and analytics space What You’ll Bring To The Team Bachelor’s or Master’s degree in a quantitative field such as statistics, business analytics, or marketing 0-2 years of experience in digital analytics, marketing analytics, media measurement or similar experience at an advertiser, media platform, measurement provider, or media advertising agency An understanding of the measurement landscape, including lift and incrementality testing, attribution, foot traffic and conversion lift, as well as emerging trends in measurement Demonstrated client service background, you thrive in externally facing conversations, working with clients to understand their campaign goals and accordingly recommend measurement opportunities A strong track record partnering across sales, account management and product teams to drive towards a common outcome Clear and concise communication; comfortable with presenting campaign and measurement insights and recommendations to senior stakeholders Ability to handle multiple projects simultaneously in a fast-paced, high-growth environment Comfortable extracting and analyzing large datasets using SQL and or Python A strong passion for Nextdoor's mission Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting salary for this role is expected to range from $81,000 - $105,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate’s geographic location. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.", "summaryDescription" : "Measurement Analyst at Nextdoor. Skills: Measurement, Data analysis, Client advising. Lead measurement research studies. Manage research process", "postedDate" : "2026-06-14T04:20:08.444", "createdAt" : "2026-06-14T04:20:08.444", "lastUpdated" : "2026-06-15T08:32:15.710", "ingestTimestamp" : "2026-06-14T04:20:08.444", "mongoId" : "6a2cda0c74d8ee00a0a4a9b6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 81000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Digital analytics", "Marketing analytics", "Media measurement", "Lift testing", "Incrementality testing", "Attribution modeling", "Foot traffic analysis", "Conversion lift analysis", "Measurement", "Data analysis", "Client advising", "Measurement strategy", "Client service", "Measurement landscape", "First party measurement", "Third party measurement", "AI-first environment", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Claude", "Gemini", "ChatGPT", "Glean" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 419.11926, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c2274d8ee00a094c65c", "title" : "Quantitative Equity Analyst", "company" : "Connor, Clark & Lunn Investment Management", "industry" : "FinTech", "salary" : { "min" : 125000.0, "max" : 200000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "timestamp" : "2026-06-16T05:04:26.818", "fingerprint" : "e82eebd1482170b061ef2a188b30356b72d4c7ed4e57d20f5bfef9a25d207f62", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cclim/jobs/4223791009", "externalId" : "4223791009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "rawDescription" : "We are looking for a Quantitative Equity Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging finance skills and cutting-edge technology, we ensure data quality, continuous process improvement, and operational excellence. As a core member of our team, you'll collaborate with investment experts to tackle challenging analytical problems, be accountable to ensure accurate and timely trade generation, and drive operational innovation. Based in West Coast Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment engine and overall success. What You Will Do This is an exciting full-time role for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data science and process engineering skillsets to accelerate the Quantitative Equities Team’s various investment functions. Your specialized role may involve building, scaling, managing and/or analyzing our quantitative model, portfolios, data assets and optimizers. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Investment Process Management The team you will be joining is our Investment Process Management (IPM) group within our Quantitative Equities Team. IPM plays a central role in building highly scalable, efficient, and robust process management systems. The processes and infrastructure we maintain are critical in the team’s ability to develop systematic investment insights and generate daily trades to capture these insights in portfolios. The opportunity within the IPM group allows ambitious individuals to drive their career growth within IPM, or across the other functions of the Quantitative Equities Team in Research, Portfolio Construction, or Trading. While we take the approach of tailoring the career path for the individual, we have found our functions to cover two main overarching technical skillsets: Process and Reliability Engineering Design, implement and test production processes to run the alpha and risk, portfolio optimization and market implementation processes. Design robust, high performance and effective process orchestration. Monitor production health and respond to critical issues in a timely manner. Effectively communicate real-time production issues to portfolio managers, traders and researchers. Identify computational bottle necks and improve run speeds in production systems. Collaborate with investment teams to ensure their process needs are being met. Find and evaluate areas for process improvements. Assess and evaluate data quality of production processes. Maintain process repos, clean code and tools within production processes. Data Science Construct and run algorithms to explore and assess data effectively. Validate structured and unstructured data sets for data quality. Design and test data loaders and security matching processes and specifications. Perform data analysis and provide data expertise to support researcher’s projects. Facilitate production machine learning operational pipelines with effective and timely auditing and analysis. Enable accessibility and clarity within our data assets through robust documentation and data scrubbing. Develop robust methodologies for assessing and analyzing data in time critical production environments. Respond to and mitigate vendor data issues effectively in a production setting. Collaborate with cross-functional teams to integrate traditional and alternative data into existing analytical frameworks and decision-making processes. Present findings and recommendations to key stakeholders in a clear, concise, and compelling manner. Reasons to Grow Your Career with Us Impact – We help create opportunities for you to leverage your personal strengths to make a positive impact on our business. Culture – Collaboration and innovation are deeply rooted in our culture. We enjoy working together and align our passions in pursuit of a shared objective in every project we undertake. Development – We create conditions for success tailored to each employee through internally developed career development plans. Mentorship – We believe that developing great people is the key to great success. You will have opportunities to share, hear and learn about career experiences from peers and senior team members. Work-Life Balance – Vancouver is surrounded by water, mountains, and cherry blossoms. We work hard in our professional lives but also create space to enjoy our personal lives. What You Bring Analytical Mindset – You think critically and creatively and are adept at balancing intuition with statistical validation. Financial Knowledge – You possess a thorough understanding of (or strong desire to learn) key drivers of business success, including financial theory, economic models, and corporate financial statements. Self-Starter – You are motivated and willing to take personal accountability for quality and timeliness of work. Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts. Time Management – You have the ability to manage and prioritize multiple ongoing projects and daily responsibilities. Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline. Completion of CFA or relevant graduate degree is considered an asset. Industry Experience – You have a passion for quantitative finance, equity investment, data science or related fields. We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The base salary range for full-time roles is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter, and academic transcript. #LI-HYBRID #LI-RC1 CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Quantitative Equity Analyst at Connor, Clark & Lunn Investment Management", "postedDate" : "2026-06-14T21:47:45.754", "createdAt" : "2026-06-14T21:47:45.754", "lastUpdated" : "2026-06-16T05:04:26.818", "ingestTimestamp" : "2026-06-14T21:47:45.754", "mongoId" : "6a2c7c2274d8ee00a094c65c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 416.81213, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c2274d8ee00a094c65a", "title" : "Quantitative Data Analyst", "company" : "Connor, Clark & Lunn Investment Management", "salary" : { "min" : 125000.0, "max" : 200000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T01:31:13.653", "fingerprint" : "34ff43fdb29565fe9574fc665d34d1166817e7140448eab71542980c12aae3d4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cclim/jobs/4223817009", "externalId" : "4223817009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills" ], "hardSkillsList" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "coreResponsibilities" : "Develop and implement data pipelines, Build and maintain data models, Design and deploy machine learning models, Create and maintain BI dashboards, Perform statistical analysis, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "SQL proficiency, 5+ years experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "rawDescription" : "We are looking for a Quantitative Data Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging data analytics, finance knowledge and cutting-edge technology, we aim to ensure that new and useful data products are continuously ready for research. Do you love the idea of integrating large proprietary data sources into valuable applications? Are you a wizard at transforming ‘messy reality’ into high quality data assets? As a core member of our team, you will collaborate with investment and data experts to tackle challenging problems, and to continuously expand our capabilities in data. Based on the west coast in Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment outcomes and overall success. What You Will Do This is an exciting full-time role for individuals who are enthusiastic about learning the quantitative equity investment management business and excited to tackle a broad range of data, investment, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data analytics and data science skillsets to enable the Quantitative Equity Team’s research. Your role will involve identifying and assessing brand new data, data exploration, and proposing robust ways to integrate data products from many sources. You will be supported with coaching and mentorship from senior members of the team, and we will create the conditions for you to grow your career steadily over time. This is an opportunity for ambitious individuals to drive their career growth in data. While we take the approach of tailoring the career path to individual strengths, we expect successful candidates for this role to develop excellence in the following tasks: Create processes to assess, explore, and link billions of data points. Test structured and unstructured data sets for data quality and reliability. Assess new data opportunities for quality and usefulness. Evaluate your data solutions for sensibility, accuracy, and bias. Collaborate with quantitative researchers – support alpha projects with your data expertise. Collaborate with technology specialists – help trade off application performance and operational feasibility. Support production deployments of your work to ensure long-term reliability. Enable clarity of and access to your work through robust documentation and exposition. Present findings and recommendations to key stakeholders in a clear, concise, and compelling manner. What You Bring Analytical Mindset – You think critically and creatively and are adept at balancing intuition with statistical validation. Financial Knowledge – Desire to acquire the financial context needed to understand your stakeholders and make data decisions with impact. Self-Starter – You are motivated and willing to take personal accountability for quality and timeliness of work. Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts. Time Management – You are able to manage and prioritize multiple ongoing projects. Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline. Completion of a relevant graduate degree is considered an asset. We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The base salary range for full-time roles is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter and academic transcripts. #LI-HYBRID #LI-RC1 CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Quantitative Data Analyst at Connor, Clark & Lunn Investment Management. Skills: Data science, Data engineering, ML/AI, Business intelligence. Develop and implement data pipelines. 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"hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5e8d74d8ee00a08e4dac", "title" : "Measurement Lead", "company" : "Brandtech+", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Lead Measurement role in the Marketing industry, adjusted for a remote position in India." }, "location" : "BTG+", "locations" : [ "BTG+" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-15T00:15:45.582", "fingerprint" : "02468ed387385c6187f767d0266a611d084dd039b607d85db0624c98ba6d4699", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/brandtechplus/jobs/7898606", "externalId" : "7898606", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Python, R, Scala, Spark, dbt, Tableau, Power BI, Looker Studio, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Performance reporting", "Operational data", "Financial metrics", "KPI tracking", "Data governance", "Data quality", "Data management", "Reporting accuracy", "Reporting structures", "Data validation", "Performance analysis", "Resource planning", "Workflow optimisation", "Reporting automation", "Reporting accessibility", "Reporting usability", "Client reporting", "Business reviews" ], "hardSkillsList" : [ "Analytical capability", "Operational understanding", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Quantitative analysis", "Regression", "Classification", "Clustering", "Time-series", "A/B 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"Leadership" }, { "name" : "Critical thinking" }, { "name" : "Adaptability" }, { "name" : "Negotiation" }, { "name" : "Mentoring" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "coreResponsibilities" : "Support development of reporting frameworks, Evolve reporting frameworks, Establish consistent tracking approaches, Standardise reporting structures, Standardise KPI definitions, Standardise data taxonomies, Align reporting outputs, Own data integrity, Maintain data integrity, Implement data validation processes, Implement quality assurance processes, Implement reporting accuracy processes, Identify inconsistencies, Identify gaps, Identify risks, Resolve reporting issues, Promote best practice data management, Promote best practice reporting governance, Build regular reporting outputs, Maintain regular reporting outputs, Translate complex datasets, Support governance forums, Support performance reviews, Support client reporting, Analyse trends, Analyse patterns, Work closely with delivery teams, Work closely with operations teams, Work closely with finance teams, Improve visibility across workflows, Improve visibility across resource planning, Improve visibility across performance tracking, Support forecasting, Support planning, Support performance analysis, Identify operational inefficiencies, Identify optimisation opportunities, Contribute to scalable reporting solutions, Contribute to automated workflows, Support integration across reporting tools, Support integration across delivery systems, Support integration across finance platforms, Support integration across workflow trackers, Improve reporting accessibility, Improve reporting automation, Improve reporting usability, Streamline reporting processes, Reduce manual effort, Encourage consistent adoption of measurement frameworks, Encourage consistent adoption of reporting best practices, Partner with internal stakeholders, Understand reporting needs, Understand reporting priorities, Support client-facing reporting requirements, Present clear data, Present accurate data, Present transparent data, Shape performance narratives, Shape reporting materials, Build working relationships, Ensure alignment, Ensure consistency", "teamCollaboration" : "Global teams; Regional teams; Delivery teams; Operations teams; Finance teams; Strategy teams; Internal stakeholders; Client-facing reporting", "domainKnowledge" : "AI technology; Cloud-native architecture; Data governance; Performance metrics; Financial performance", "domainList" : [ "ai-technology", "cloud-native-architecture", "data-governance", "performance-metrics", "financial-performance" ], "domainSpecificKnowledge" : [ "AI technology", "Cloud-native architecture", "Data governance", "Performance metrics", "Financial performance" ], "toolProficiency" : [ "Power BI", "Tableau", "Looker Studio", "Excel" ], "communicationSkills" : "Stakeholder management; Clear communication; Meaningful insight; Practical recommendations; Clear reporting; Concise reporting; Commercially relevant insight; Performance narratives; Data presentation", "continuousLearning" : "Always learning and listening", "innovationCreativity" : "Spark creativity; Innovative results", "problemSolvingSkills" : "Analytical capability; Problem-solving skills; Interpret complex information; Translate complexity", "outcomesObjectives" : "Demonstrate value to clients; Support effective decision-making", "qualificationsBasic" : "5–8+ years’ experience in reporting, analytics, operations, or performance-focused roles, Advanced Excel skills, Experience using reporting and visualisation tools", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Brandtech+ (formerly known as OLIVER+) is a global team of creative thinkers, tech-savvy trendsetters, and production pros specialising in film, CGI, automation, AI, motion design, and digital/print content. We partner with over 300 clients in 40+ countries and counting. Our focus is to connect clients with high-quality solutions, talent and ambitious opportunities worldwide.  As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Measurement Lead Location: Remote working until further notice ABOUT THE ROLE: Brandtech+ is evolving how data is structured, governed, and utilised across global client accounts. The Measurement Lead plays a key role in shaping how delivery, operational, financial, and performance data are captured, connected, interpreted, and communicated across The Mix. This role is responsible for driving consistency, accuracy, and transparency across reporting and measurement frameworks, ensuring stakeholders have access to reliable, actionable insights that support effective decision-making and demonstrate value to clients. Working closely with global and regional teams across delivery, operations, finance, and strategy, the Measurement Lead will support the development of scalable reporting structures, robust data governance processes, and integrated performance views across projects, people, finance, and operational metrics. The role is suited to someone who combines strong analytical capability with operational understanding and excellent stakeholder management skills. The successful candidate will be comfortable working across multiple data sources and business functions, translating complexity into clear reporting, meaningful insight, and practical recommendations. This is a hands-on role within a fast-moving global environment, requiring a proactive and detail-oriented individual who can balance strategic thinking with day-to-day execution and continuous improvement. WHAT YOU WILL BE DOING: Measurement & Reporting Frameworks Support the development and ongoing evolution of reporting and measurement frameworks across The Mix. Establish consistent approaches to tracking delivery, operational, financial, and performance metrics. Help standardise reporting structures, KPI definitions, and data taxonomies across markets and teams. Ensure reporting outputs align to client objectives, business priorities, and operational requirements. Data Governance & Quality Control Own and maintain data integrity across reporting inputs and outputs. Develop and implement processes for data validation, quality assurance, and reporting accuracy. Identify inconsistencies, gaps, and risks within reporting structures and work with stakeholders to resolve them. Promote best practice approaches to data management and reporting governance across teams. Performance Reporting & Insight Build and maintain regular reporting outputs for global and regional stakeholders. Translate complex datasets into clear, concise, and commercially relevant insight. Support governance forums, performance reviews, and client reporting through accurate and meaningful performance narratives. Analyse trends and patterns across delivery, utilisation, efficiency, and financial performance metrics. Operational & Commercial Support Work closely with delivery, operations, and finance teams to improve visibility across workflows, resource planning, and performance tracking. Support forecasting, planning, and performance analysis activities through reliable reporting and structured insight. Assist in identifying operational inefficiencies and opportunities for optimisation through data analysis. Contribute to the development of scalable reporting solutions and automated workflows where appropriate. Tools, Systems & Process Improvement Support integration and alignment across reporting tools, delivery systems, finance platforms, and workflow trackers. Help improve reporting accessibility, automation, and usability across teams. Partner with operational and technology stakeholders to streamline reporting processes and reduce manual effort. Encourage consistent adoption of measurement frameworks and reporting best practices globally. Stakeholder & Client Collaboration Partner with internal stakeholders across delivery, strategy, finance, and operations to understand reporting needs and priorities. Support client-facing reporting requirements with clear, accurate, and transparent data presentation. Help shape performance narratives and reporting materials for governance meetings and business reviews. Build strong working relationships across global and regional teams to ensure alignment and consistency. WHAT YOU WILL NEED TO BE GREAT AT THIS ROLE: 5–8+ years’ experience in reporting, analytics, operations, or performance-focused roles within agencies, marketing operations, or in-house environments. Strong analytical and problem-solving skills, with the ability to interpret and communicate complex information clearly. Experience working with performance reporting, operational data, financial metrics, and KPI tracking. Advanced Excel skills and confidence working with large or complex datasets. Experience using reporting and visualisation tools such as Power BI, Tableau, Looker Studio, or equivalent platforms. Strong organisational skills with high attention to detail and accuracy. Ability to manage multiple priorities and stakeholders within fast-paced environments. Excellent communication and stakeholder management skills. A collaborative and proactive approach, with a strong focus on continuous improvement. Req ID - 17490 #LI-DJ1 #LI-REMOTE #LI-Senior #BTG+ Our values shape everything we do: Be Ambitious to succeed  Be Imaginative to push the boundaries of what’s possible  Be Inspirational to do groundbreaking work  Be always learning and listening to understand  Be Results-focused  to exceed expectations  Be actively pro-inclusive and anti-racist across our community, clients and creations  Brandtech+, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.  Brandtech+ has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.'", "summaryDescription" : "Measurement Lead at Brandtech+. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis. Support development of reporting frameworks. Evolve reporting frameworks", "postedDate" : "2026-06-12T22:08:19.448", "createdAt" : "2026-06-12T22:08:19.448", "lastUpdated" : "2026-06-15T00:15:45.582", "ingestTimestamp" : "2026-06-12T22:08:19.448", "mongoId" : "6a2c5e8d74d8ee00a08e4dac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Analytical capability", "Operational understanding", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Quantitative analysis", "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference", "Leadership", "Critical thinking", "Adaptability", "Negotiation", "Mentoring", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Performance reporting", "Operational data", "Financial metrics", "KPI tracking", "Data governance", "Data quality", "Data management", "Reporting accuracy", "Reporting structures", "Data validation", "Performance analysis", "Resource planning", "Workflow optimisation", "Reporting automation", "Reporting accessibility", "Reporting usability", "Client reporting", "Business reviews", "AI technology", "Cloud-native architecture", "Performance metrics", "Financial performance", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified", "Power BI", "Tableau", "Looker Studio", "Excel" ], "skillCount" : 54, "jobCategory" : "other", "jobSubcategory" : "analytics-", "dataQualityScore" : 0.8888889, "_score" : 403.7357, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2cda0c74d8ee00a0a4a9b5", "title" : "Measurement Analyst", "company" : "Nextdoor", "industry" : "Technology", "salary" : { "min" : 81000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States", "Chicago", "Illinois", "United States", "New York", "New York", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T11:49:44.931", "fingerprint" : "add24fec937a4f8defdf567855dd6ba967680b17d2243b1d76feb19257d8095e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://about.nextdoor.com/careers-list/?gh_jid=8003527", "externalId" : "8003527", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, AI", "professionalSkills" : [ "Measurement strategy", "Client advising", "Data analysis", "Research studies", "Campaign analysis", "Best practices", "Playbook creation" ], "hardSkillsList" : [ "Measurement", "Data analysis", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic", "Conversion lift" ], "hardSkills" : [ { "name" : "Measurement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Lift testing", "level" : "intermediate" }, { "name" : "Incrementality testing", "level" : "intermediate" }, { "name" : "Attribution", "level" : "intermediate" }, { "name" : "Foot traffic", "level" : "intermediate" }, { "name" : "Conversion lift", "level" : "intermediate" } ], "majorSkills" : "Measurement, Data analysis, Client advising", "majorSkillsList" : [ "Measurement", "Data analysis", "Client advising" ], "coreResponsibilities" : "Lead measurement research studies, Manage research process, Deliver research results, Advocate measurement solutions, Implement measurement solutions, Present research results, Provide insights, Provide recommendations, Conduct in-depth analyses, Evaluate campaign tactics, Create best practices, Create playbooks, Leverage AI tools, Automate analysis tasks, Accelerate data summarization, Explore AI applications", "teamCollaboration" : "Internal sales teams; Account management teams; Sales teams; Product teams", "domainKnowledge" : "Measurement landscape; Lift testing; Incrementality testing; Attribution; Foot traffic; Conversion lift; Emerging trends", "domainList" : [ "measurement-landscape", "lift-testing", "incrementality-testing", "attribution", "foot-traffic", "conversion-lift", "emerging-trends" ], "domainSpecificKnowledge" : [ "Measurement landscape", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic", "Conversion lift", "Emerging trends" ], "toolProficiency" : [ "Claude", "Gemini", "ChatGPT", "Glean" ], "communicationSkills" : "Present insights; Present recommendations; Client presentations", "problemSolvingSkills" : "Solve complex problems", "specialRequirements" : "In-person events, Team building exercises", "outcomesObjectives" : "Drive impactful results", "qualificationsBasic" : "Bachelor's or Master's degree, 0-2 years experience, SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors As a Measurement Analyst at Nextdoor, you’ll work at the forefront of strategizing and recommending measurement strategies for our advertisers. As experts in measurement and data, we provide essential technical support to our sales team and deliver value to our clients. Our sales team will count on you to be a trusted adviser to clients while working with them to advise clients on measurement strategies using a mix of first and third party measurement solutions. You will solve complex clients problems and drive impactful results. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make For a specific set of advertisers, you will lead measurement research studies, managing the entire process from setup through to delivering results Be an advocate for Nextdoor’s measurement solutions within internal sales and account management teams, ensuring their effective implementation in client campaigns Lead the presentation of measurement research results, including insights and recommendations, to clients Conduct in-depth analyses to evaluate the effectiveness of various campaign tactics and create actionable best practices and playbooks Participate in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values Leverage AI tools to enhance day-to-day measurement workflows including automating repetitive analysis tasks, accelerating data summarization and continuously exploring new AI applications relevant to the measurement and analytics space What You’ll Bring To The Team Bachelor’s or Master’s degree in a quantitative field such as statistics, business analytics, or marketing 0-2 years of experience in digital analytics, marketing analytics, media measurement or similar experience at an advertiser, media platform, measurement provider, or media advertising agency An understanding of the measurement landscape, including lift and incrementality testing, attribution, foot traffic and conversion lift, as well as emerging trends in measurement Demonstrated client service background, you thrive in externally facing conversations, working with clients to understand their campaign goals and accordingly recommend measurement opportunities A strong track record partnering across sales, account management and product teams to drive towards a common outcome Clear and concise communication; comfortable with presenting campaign and measurement insights and recommendations to senior stakeholders Ability to handle multiple projects simultaneously in a fast-paced, high-growth environment Comfortable extracting and analyzing large datasets using SQL and or Python A strong passion for Nextdoor's mission Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting salary for this role is expected to range from $81,000 - $105,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate’s geographic location. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.", "summaryDescription" : "Measurement Analyst at Nextdoor. Skills: Measurement, Data analysis, Client advising. Lead measurement research studies. Manage research process", "postedDate" : "2026-06-13T22:27:41.763", "createdAt" : "2026-06-13T22:27:41.763", "lastUpdated" : "2026-06-15T11:49:44.931", "ingestTimestamp" : "2026-06-13T22:27:41.763", "mongoId" : "6a2cda0c74d8ee00a0a4a9b5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 81000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Measurement", "Data analysis", "Lift testing", "Incrementality testing", "Attribution", "Foot traffic", "Conversion lift", "Client advising", "Measurement strategy", "Research studies", "Campaign analysis", "Best practices", "Playbook creation", "Measurement landscape", "Emerging trends", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Claude", "Gemini", "ChatGPT", "Glean" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 403.48392, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6bb474d8ee00a09141c4", "title" : "Experienced Quantitative Researcher", "company" : "Quantbox Research", "industry" : "FinTech", "salary" : { "min" : 110000.0, "max" : 160000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Quantitative Researcher in Amsterdam, Netherlands, adjusted for FinTech industry and company size." }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands", "Bengaluru", "Karnataka", "India", "Hong Kong", "Singapore", "Central", "Singapore" ], "timestamp" : "2026-06-15T10:45:08.126", "fingerprint" : "aaf7c88cdb754587e85c91d6839152b00431aeb118836edaf69362e17e8356d8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/quantboxresearchpte/jobs/4001033101", "externalId" : "4001033101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, Kdb+, C++", "professionalSkills" : [ "Market making", "Systematic alpha research" ], "hardSkillsList" : [ "Quantitative research", "Statistical analysis" ], "hardSkills" : [ { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "majorSkills" : "High frequency trading, Quantitative research", "majorSkillsList" : [ "High frequency trading", "Quantitative research" ], "coreResponsibilities" : "Research systematic HFT market making strategies, Develop systematic HFT market making strategies, Leverage existing technology, Leverage existing infrastructure", "teamCollaboration" : "Small collaborative environment; Experienced traders; Experienced developers", "domainKnowledge" : "Proprietary trading; Electronic market making; Asset classes", "domainList" : [ "proprietary-trading", "electronic-market-making", "asset-classes" ], "domainSpecificKnowledge" : [ "Proprietary trading", "Electronic market making", "Asset classes" ], "innovationCreativity" : "Innovate; New technologies; New ideas", "qualificationsBasic" : "Deep experience in high frequency trading, Live high frequency trading experience for at least 2 years, PnL track record with excellent Sharpe ratios", "qualificationsPreferred" : "Degree from top tier college or university a plus", "workSiteFlexibility" : "Flexible", "rawDescription" : "Quantbox is a technology-driven Proprietary trading firm that specializes in systematic alpha research and electronic market-making on various exchanges. We trade across a multitude of asset classes and trading venues with significant market share and are looking for experienced Quantitative Researchers to join our team. As a Quantitative Researcher, you will be working with experienced traders and developers to research and develop new systematic HFT market making strategies leveraging our existing technology and infrastructure. Quantbox encourages Bachelor’s, Master’s and PhD students in computer science, mathematics and related fields to apply. Additional requirements include: Deep experience in high frequency trading Live high frequency trading experience for at least 2 years. PnL track record with excellent Sharpe ratios. Taking pride in building solutions using Python, R, kdb+ or C++ Desire to work in a small collaborative environment Degree from top tier college or university a plus A passion for new technologies and ideas Strong communication skills Quantbox is a place of friends and colleagues, where people convert their passion into action. We believe in togetherness that brings out the best in ourselves and our Company. Our open and casual work culture gives you the space to innovate and deliver. Everyone on the team is approachable. Employee remuneration packages are reviewed regularly to ensure that they remain competitive. In recognition of our employees’ contributions and performance, for full time permanent roles we provide: Competitive compensation 4 Weeks of paid vacation Medical insurance International team outing Quantbox is an equal opportunities employer.", "summaryDescription" : "Experienced Quantitative Researcher at Quantbox Research. Skills: High frequency trading, Quantitative research. Research systematic HFT market making strategies. Develop systematic HFT market making strategies", "postedDate" : "2026-06-14T08:01:11.800", "createdAt" : "2026-06-14T08:01:11.800", "lastUpdated" : "2026-06-15T10:45:08.126", "ingestTimestamp" : "2026-06-14T08:01:11.800", "mongoId" : "6a2c6bb474d8ee00a09141c4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Quantitative research", "Statistical analysis", "High frequency trading", "Market making", "Systematic alpha research", "Proprietary trading", "Electronic market making", "Asset classes" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 402.51178, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c68f974d8ee00a09057c3", "title" : "Roof Measurement Technician", "industry" : "Measurements", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Roof Measurement Technician in Manila, Philippines, adjusted for industry and remote work." }, "location" : "Manila Remote", "locations" : [ "Manila Remote" ], "timestamp" : "2026-06-16T06:36:11.167", "fingerprint" : "4467c8b89596ffc085bcbe25e55c8860d3e6542a6edfda2da50a79ece4ec0288", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/firstmate/657d5add-6e8d-49eb-a971-2c995ead51e5/application", "externalId" : "657d5add-6e8d-49eb-a971-2c995ead51e5", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Philippines", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Philippines", "employmentType" : "FULL_TIME", "hardSkillsList" : [ "Roof mapping", "Roof measurement", "Spatial awareness" ], "hardSkills" : [ { "name" : "Roof mapping", "level" : "intermediate" }, { "name" : "Roof measurement", "level" : "intermediate" }, { "name" : "Spatial awareness", "level" : "intermediate" } ], "majorSkills" : "Roof measurement, Aerial imagery interpretation", "majorSkillsList" : [ "Roof measurement", "Aerial imagery interpretation" ], "coreResponsibilities" : "Trace roof outlines, Create overlays on imagery, Identify roof facets, Identify roof ridges, Identify roof hips, Identify roof valleys, Identify roof pitches, Identify roof penetrations, Build roof models, Configure report outputs, Label roof lines, Label structural features, Follow measurement standards, Follow workflow procedures, Maintain production quality, Meet turnaround expectations, Meet production quotas, Complete projects efficiently", "domainKnowledge" : "Roof structures", "domainList" : [ "roof-structures" ], "domainSpecificKnowledge" : [ "Roof structures" ], "toolProficiency" : [ "Proprietary software", "AI-powered software" ], "documentationSkills" : "Professional report outputs", "outcomesObjectives" : "Meet daily production quotas; Meet weekly production quotas; Maintain accuracy standards; Maintain QA accuracy", "qualificationsBasic" : "Computer proficiency, Ability to learn new software, Reliable computer, High-speed internet connection, Ability to interpret aerial imagery, Recognize structural roof components, Ability to work independently, Clear English communication skills, Comfortable working in production environment", "qualificationsPreferred" : "Experience with architecture, Experience with drafting, Experience with construction, Experience with GIS, Experience with aerial measurements", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are seeking a detail-driven team member to join our remote team and produce accurate roof measurement reports. In this role, you will use our AI-powered software to trace and map roof structures using high-resolution aerial and satellite imagery. This is a full-time remote position suited for individuals with strong attention to detail, spatial awareness, and the ability to work independently in a fast-paced production environment. What You Will Do Roof Mapping & Measurement - Use proprietary software to trace roof outlines and create precise overlays on 2D aerial imagery - Identify roof facets, ridges, hips, valleys, pitches, and penetrations - Build accurate roof models and configure professional report outputs - Ensure accurate labeling of roof lines and structural features Accuracy & Consistency - Follow established measurement standards and workflow procedures - Maintain high production quality while meeting turnaround expectations - Consistently meet daily and weekly production quotas - Complete projects efficiently while maintaining accuracy standards - Work within a point-based production system tied to project complexity and completion speed Requirements - Strong computer proficiency and ability to learn new software quickly - Exceptional attention to detail and spatial awareness - Reliable computer and high-speed internet connection - Ability to interpret aerial imagery and recognize structural roof components - Experience with architecture, drafting, construction, GIS, or aerial measurements is an asset - Ability to work independently in a remote environment - Clear English communication skills - Comfortable working in a production-focused environment with measurable quality and volume expectations Schedule & Training - Full-time position with 10-hour shifts - Paid training Compensation - Base pay - Additional production-based incentives tied to project complexity and completion speed - Quality performance bonuses for maintaining strong QA accuracy - Faster completion times and higher-complexity projects earn increased point payouts - Opportunities to earn additional “rush bonuses” during high-volume production periods - Tiered technician levels with increased compensation and access to more advanced project types based on performance and quality standards Growth Opportunities High-performing technicians may qualify for advancement opportunities including: - Lead Technicians - Quality Assurance Technicians - Standard and Senior Technician roles with increased earning potential - Additional responsibilities in training, QA review, and production leadership", "summaryDescription" : "Roof Measurement Technician. Skills: Roof measurement, Aerial imagery interpretation. Trace roof outlines. Create overlays on imagery", "createdAt" : "2026-06-14T20:11:52.624", "lastUpdated" : "2026-06-16T06:36:11.167", "ingestTimestamp" : "2026-06-14T20:11:52.624", "mongoId" : "6a2c68f974d8ee00a09057c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Roof mapping", "Roof measurement", "Spatial awareness", "Aerial imagery interpretation", "Roof structures", "Proprietary software", "AI-powered software" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 393.1404, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c8d6f74d8ee00a0978f7b", "title" : "Measurement Partnerships Associate", "company" : "Ibotta", "industry" : "Business - Non Sales", "salary" : { "min" : 90000.0, "max" : 100000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Denver", "locations" : [ "Hybrid - Denver" ], "timestamp" : "2026-06-16T02:12:00.009", "fingerprint" : "425e357ae39858fa45d14ab5d4721777b204c1afee286eedad953e440c207d10", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ibotta/2ab7d3bf-232b-4f00-8341-ab151bf37adc/application", "externalId" : "2ab7d3bf-232b-4f00-8341-ab151bf37adc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Ibotta is seeking a Measurement Partnerships Associate to join our Business Development team and contribute to our mission to Make Every Purchase Rewarding. Ibotta is fundamentally changing how the world's leading brands, retailers, and financial institutions think about digital marketing and consumer rewards. As the Measurement Partnerships Associate, you are the operational engine behind the strategic measurement partnerships — the person who makes sure that every study we commit to actually gets off the ground correctly, runs cleanly, and delivers results that matter to our CPG clients. This role sits at the intersection of measurement rigor and client service. You're equally comfortable in a meeting presenting sales lift results to brand managers and in a spreadsheet validating campaign specs the day before a study launches. You know enough about media measurement to hold your own with Circana or Nielsen counterparts, and enough about CPG marketing and analytics to make the numbers mean something to the people who need to act on them. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. Candidates must live in the United States. What you will be doing: - Serve as the day-to-day operational liaison with third-party measurement partners (e.g., Circana, ABCS, other measurement third-party partner vendors). - Track study timelines, manage data deliverable deadlines, route questions to the right internal stakeholders, and escalate when needed. - Own the end-to-end campaign study intake process — collect and complete measurement spec forms, validate all campaign details (flight dates, products and UPCs, targeting parameters, offer details, audience definitions) to ensure measurement studies are properly set up, executed, and delivered. - Work cross-functionally across Sales, Data Science, Client Analytics, Technology, Legal, Finance, and Marketing. - Present campaign measurement results — sales lift, marketing mix model contributions, and media performance KPIs — to advertiser clients and measurement partner contacts. Build the decks, own the narrative, and run the meeting. - Analyze and interpret campaign performance data into clear, actionable insights and stories. - Support Measurement Partnerships in executing the broader measurement partnership strategy, including working to streamline data delivery processes to measurement vendors, identifying friction points, improving file specs, and workflows. - Maintain subject matter expertise in media measurement methodologies, ad tech concepts (audiences, viewability, reach/frequency, awareness), and CPG measurement norms. - Identify process improvements in how measurement studies are initiated, tracked, and delivered — and implement them. - Travel occasionally to industry events or client meetings (~once per quarter). - Embrace and uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere. What We Are Looking For: - 2–5 years of experience in CPG analytics, media measurement, marketing or promotional analytics, or a closely related field. - Experience working with CPG data sources — syndicated data (IRI/Circana, Nielsen), retail POS, household and receipt panel data. - Understanding of sales lift methodology, marketing mix modeling (MMM) concepts, attribution, and media measurement KPIs. - Familiarity with ad tech and digital media concepts: audience targeting, viewability, reach/frequency, awareness measurement. - Working knowledge of data transfer processes — SFTP, API-based integrations, data file specifications. You don't need to build them; you need to understand how they work. - Exposure to SQL, R or Python for data manipulation is a plus. - Proficiency in G Suite; experience with Lookr, Tableau, Power BI, or similar visualization tools is a plus. - Exceptional attention to detail and a compulsion to catch errors before they become problems. - Proven ability to manage multiple concurrent projects with competing deadlines. - Strong client-facing communication and presentation skills — you're comfortable in front of brand managers and measurement partner contacts. - Demonstrated ability to synthesize data into clear, compelling narratives for both technical and non-technical audiences. - Ability to work cross-functionally and influence outcomes without direct authority. About Ibotta (\"I bought a...\") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. Additional Details: - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals. - Base compensation range: $90,000-$100,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees #LI-Hybrid #BI-Hybrid", "summaryDescription" : "Measurement Partnerships Associate at Ibotta", "createdAt" : "2026-06-14T18:49:27.603", "lastUpdated" : "2026-06-16T02:12:00.009", "ingestTimestamp" : "2026-06-14T18:49:27.603", "mongoId" : "6a2c8d6f74d8ee00a0978f7b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 100000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 388.3483, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c2274d8ee00a094c659", "title" : "Product Analyst, Quantitative Equities", "company" : "Connor, Clark & Lunn Investment Management", "industry" : "FinTech", "salary" : { "min" : 125000.0, "max" : 200000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "certifications" : [ "CFA", "FRM" ], "timestamp" : "2026-06-16T04:05:21.995", "fingerprint" : "0a6e22741b0c6ac623428d3a10d3a5b720daf7eb93b00fbb01b97437031da4c5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cclim/jobs/4274259009", "externalId" : "4274259009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "technicalSkills" : "Python, R, SQL", "professionalSkills" : [ "Quantitative analysis", "Financial modeling", "Data analysis" ], "hardSkillsList" : [ "Quantitative analysis", "Financial modeling", "Data analysis" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Quantitative analysis, Financial modeling, Data analysis", "majorSkillsList" : [ "Quantitative analysis", "Financial modeling", "Data analysis" ], "coreResponsibilities" : "Develop and maintain quantitative models, Perform data analysis, Generate reports, Support trading strategies, Conduct market research, Collaborate with portfolio managers, Assist with risk management", "teamCollaboration" : "Portfolio managers; Traders; Risk management team", "domainKnowledge" : "Equities; Fixed income; Derivatives; Risk management; Quantitative finance", "domainList" : [ "equities", "fixed-income", "derivatives", "risk-management", "quantitative-finance" ], "domainSpecificKnowledge" : [ "Equities", "Fixed income", "Derivatives", "Risk management", "Quantitative finance" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Report generation; Presentation skills", "documentationSkills" : "Model documentation", "problemSolvingSkills" : "Quantitative analysis; Data analysis", "outcomesObjectives" : "Enhance investment strategies; Improve risk-adjusted returns; Provide timely market insights", "qualificationsBasic" : "2+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, CFA charterholder preferred, FRM certification preferred, Experience with Python preferred, Experience with R preferred, Experience with SQL preferred, Experience with Bloomberg Terminal preferred, Experience with Reuters Eikon preferred, Experience with FactSet preferred", "remoteFriendly" : false, "rawDescription" : "We are looking for a Product Analyst to support our globally recognized quantitative investment platform. We combine quantitative research with leading-edge technology to develop differentiated algorithmic investment strategies. A culture of innovation, growth and success through collaboration and mutual respect has enabled us to deliver top tier performance for over two decades. Today, our clients entrust us with over US$60 billion in assets under management across a range of investment mandates. The successful candidate will contribute directly to analysis and research that translate a quantitative investment process into clear, credible content for institutional investors. This is a high-impact role for someone who combines technical depth, sound judgment, and strong communication skills. What You Will Do Working closely with the Quantitative Equity, Client Solutions, and Institutional Sales teams, the Product Analyst will support a broad range of activities, including: Investment Content Development – Develop materials that resonate with internal/external stakeholders by clearly and succinctly relating a complex investment process to developments in markets and portfolios. Business Development – Support initiatives that contribute to the long-term growth and success of the Quantitative Equity platform. Cross-Team Engagement – Build strong relationships with internal stakeholders in order to improve systems, processes, and communications across teams. External Presence – Represent the Quantitative Equity team in meetings with institutional clients, prospects, and consultants. What You Bring Academic background in finance, economics, statistics, mathematics, engineering, data science or a related quantitative discipline. 2 – 5 years of work experience on a quantitative or systematic investment team. Working understanding of factor investing frameworks, portfolio construction and optimization principles, performance attribution and risk decomposition, and empirical research methods. Demonstrated ability to critically and creatively analyze large financial datasets, with a high level of attention to detail. Experience developing external-facing analysis or thought leadership, and ideally presenting this content to stakeholders. Exceptional written and verbal communication skills, with the ability to explain complex quantitative concepts clearly and concisely. A collaborative spirit that enables successful working relationships with a large number of internal and external stakeholders. CFA designation or progress toward completion is an asset. We welcome applications from candidates with different levels of experience. The base salary range is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter and academic transcripts. We thank all applicants for their interest, however, only those selected for an interview will be contacted. No telephone calls or agencies will be accepted. Successful applicants must be eligible to work in Canada on their start date. CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Product Analyst, Quantitative Equities at Connor, Clark & Lunn Investment Management. Skills: Quantitative analysis, Financial modeling, Data analysis. Develop and maintain quantitative models. Perform data analysis", "postedDate" : "2026-06-14T19:11:56.124", "createdAt" : "2026-06-14T19:11:56.124", "lastUpdated" : "2026-06-16T04:05:21.995", "ingestTimestamp" : "2026-06-14T19:11:56.124", "mongoId" : "6a2c7c2274d8ee00a094c659", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Financial modeling", "Data analysis", "Equities", "Fixed income", "Derivatives", "Risk management", "Quantitative finance", "CFA", "FRM", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 13, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 388.04587, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c68ca74d8ee00a0904c4f", "title" : "Senior Quantitative Developer", "company" : "TradingHub", "industry" : "Analytics & Data", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Quantitative Developer in London, adjusted for executive seniority in the FinTech industry." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T08:38:53.289", "fingerprint" : "068a8da09ba8516fd5c1e58bc9169e4586a3cf6bef4177590344ca509e7ab9ab", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/tradinghub/36fd290f-9568-4290-9951-ab73a11d8cbe/application", "externalId" : "36fd290f-9568-4290-9951-ab73a11d8cbe", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C#, Python, SQL, Postgres", "professionalSkills" : [ "Pricing models", "Financial pricing", "Risk algorithms", "Securities data analysis", "Market dynamics research", "Model validation" ], "hardSkillsList" : [ "Mathematical analysis", "Financial modeling", "Risk assessment", "Database management" ], "hardSkills" : [ { "name" : "Mathematical analysis", "level" : "intermediate" }, { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" } ], "majorSkills" : "Quantitative development, Financial markets, Software productionisation", "majorSkillsList" : [ "Quantitative development", "Financial markets", "Software productionisation" ], "coreResponsibilities" : "Develop financial pricing libraries, Develop calculators, Develop risk algorithms, Develop pricing algorithms, Analyze securities data, Produce securities data, Research market dynamics, Prototype proprietary models, Test proprietary models, Validate proprietary models, Support junior team members, Coach junior team members", "teamCollaboration" : "Coaching junior members; Working with experts", "projectManagementSkills" : [ "Prioritisation" ], "domainKnowledge" : "Financial markets; Market manipulation; Asset classes; Fixed-income risk; Derivatives; Options; Swaps; Futures", "domainList" : [ "financial-markets", "market-manipulation", "asset-classes", "fixed-income-risk", "derivatives", "options", "swaps", "futures" ], "domainSpecificKnowledge" : [ "Financial markets", "Market manipulation", "Asset classes", "Fixed-income risk", "Derivatives", "Options", "Swaps", "Futures" ], "continuousLearning" : "Study leave", "innovationCreativity" : "Innovation; R&D", "problemSolvingSkills" : "Mathematical skills; Analytical skills", "outcomesObjectives" : "Ensure product capabilities ahead of competitors", "qualificationsBasic" : "Financial markets experience, Proficiency with C#, Proficiency with Python, Exceptional mathematical skills, Exceptional analytical skills, Understanding of market risk, Knowledge of derivatives, Knowledge of database technologies, Deliver projects to deadlines, Excellent prioritisation skills", "qualificationsPreferred" : "Experience within an investment bank, Experience within a pricing-related firm, Understanding of fixed-income risk", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Compensation: Competitive (Financial Services) About TradingHub Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation. With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk. The Role We are seeking a Senior Quantitative Developer (VP) to take a leading role in designing, building and validating our pricing models. This includes creating financial pricing libraries for multiple asset classes, calculators and risk algorithms. The successful candidate will combine excellent mathematical skills with proven experience in financial markets and the ability to productionise high-quality software. The capacity to put yourself in the eyes of a trader will be very useful as we continue to ensure our product’s capabilities are ahead of competitors in the market. Responsibilities: - Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms - Using our in-house big data language for the large-scale analysis and production of securities data - Research and development of market dynamics across multiple asset classes - Prototyping, testing, and validation of TradingHub’s proprietary models - supporting and coaching more junior team members Requirements - Proven financial markets experience, ideally within an investment bank or pricing-related firm - Proficiency with C#, Python or another object-oriented programming language - Evidence of exceptional mathematical and analytical skills - A clear understanding of market risk, preferably for fixed-income - Good knowledge of derivatives (e.g. options, swaps, futures etc.) - Good knowledge of database technologies such as SQL, Postgres etc. - Able to deliver projects to agreed deadlines with excellent prioritisation skills Benefits Life at TradingHub is a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of technology and global markets, we’re able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success. Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These values provide the foundation for a sustainable workplace culture that empowers you to grow, contribute, and become your best self. Employee Benefits: - Annual discretionary performance bonus (permanent employees only) - Hybrid working policy - Office lunches twice a week - Private medical insurance + dental cover - Extended parental leave (up to 6 months of fully paid maternity leave) - 25 days annual leave + bank holidays - Enhanced company pension plan - 5 days study leave towards professional qualifications - Salary sacrifice schemes - Death in service coverage Don’t tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don't let our specification hold you back. Get in touch! TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socio-economic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications. We are committed to making our recruitment process accessible to all and we encourage candidates to inform us of any required adjustments. A full copy of our diversity, equity and inclusion policy will be made available to you upon request.", "summaryDescription" : "Senior Quantitative Developer at TradingHub. Skills: Quantitative development, Financial markets, Software productionisation. Develop financial pricing libraries. 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We trade across a multitude of asset classes and trading venues with significant market share. We are looking to appoint a Junior Quantitative Researcher/Trader. What you’ll need: You possess a bachelor's degree / Phd in mathematics, computer science, statistics, physics, or a related field Ability to think independently and use creative approach in problem solving Familiarity with python, C++, R programming languages You will be responsible for building and improving the models that keeps us competitive in the market. You will work alongside the traders, software developers and our engineering scientist, you would learn, research, improve, test, build our trading algorithms to increase trading profitability. A typical day involves applying rigorous scientific method, machine learning techniques to a vast array of datasets in order to create insights on how the market behave. Quantbox is an equal opportunity employer. Quantbox is a place of friends and colleagues, where people convert their passion into action. We believe in togetherness that brings out the best in ourselves and our Company. Our open and casual work culture gives you the space to innovate and deliver. Everyone on the team is approachable. Employee remuneration packages are reviewed regularly to ensure that they remain competitive. In recognition of our employees’ contributions and performance, for full time permanent roles we provide: Competitive compensation 4 Weeks of paid vacation Medical insurance International team outing Quantbox is an equal opportunities employer.", "summaryDescription" : "Junior Quantitative Researcher at Quantbox Research. Build and improve models", "postedDate" : "2026-06-14T02:53:47.403", "createdAt" : "2026-06-14T02:53:47.403", "lastUpdated" : "2026-06-15T08:51:38.012", "ingestTimestamp" : "2026-06-14T02:53:47.403", "mongoId" : "6a2c6bb474d8ee00a09141c7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 378.62296, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c2274d8ee00a094c65e", "title" : "Quantitative Research Analyst", "company" : "Connor, Clark & Lunn Investment Management", "industry" : "FinTech", "salary" : { "min" : 125000.0, "max" : 200000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "timestamp" : "2026-06-15T05:00:42.980", "fingerprint" : "35014933c5ef34b909fb994d950ec77ba17e336901e5e3b808228540df251bce", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cclim/jobs/4223730009", "externalId" : "4223730009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "minimumEducation" : "Bachelor's", "technicalSkills" : "Data science, Statistics", "professionalSkills" : [ "Securities valuation", "Quantitative research", "Investment insights" ], "hardSkillsList" : [ "Algorithmic strategies", "Predictive modeling" ], "hardSkills" : [ { "name" : "Algorithmic strategies", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" } ], "majorSkills" : "Quantitative research, Data science, Finance", "majorSkillsList" : [ "Quantitative research", "Data science", "Finance" ], "coreResponsibilities" : "Research and development of new investment models, Generate ideas for new investment insights, Apply skills and techniques in finance, Apply skills and techniques in data science, Apply skills and techniques in statistics, Collaborate with technology teams, Collaborate with portfolio management teams, Collaborate with investment process teams, Deliver exceptional investment performance", "teamCollaboration" : "Quantitative Equity team; Quantitative research team; Technology teams; Portfolio management teams; Investment process teams", "domainKnowledge" : "Financial markets; Algorithmic investment strategies; Securities valuation", "domainList" : [ "financial-markets", "algorithmic-investment-strategies", "securities-valuation" ], "domainSpecificKnowledge" : [ "Financial markets", "Algorithmic investment strategies", "Securities valuation" ], "toolProficiency" : [ "Bloomberg Terminal" ], "communicationSkills" : "Communicating complex concepts", "problemSolvingSkills" : "Analytical Mindset", "outcomesObjectives" : "Deliver top tier performance", "qualificationsBasic" : "Undergraduate degree in finance, Undergraduate degree in mathematics, Undergraduate degree in statistics, Undergraduate degree in computer science", "qualificationsPreferred" : "Graduate level studies", "rawDescription" : "We are looking for a Quantitative Research Analyst to join our fast-paced and entrepreneurial Quantitative Equity team! We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial assets. We combine leading edge quantitative research with state-of-the-art technology to develop our unique algorithmic investment strategies. A culture of innovation, growth and success through collaboration has enabled us to deliver top tier performance for over two decades. What You Will Do As a member of the quantitative research team, you will help tackle a broad array of challenges at the Intersection of finance, data science, and technology. We seek to identify novel predictors of business outcomes and model complex inefficiencies in constantly evolving financial markets. Our focus is on developing cutting edge and uniquely powerful investment insights. This is an exciting role for an individual who is passionate about quantitative research and wants to apply a disciplined and scientific approach to investing. You will work with key decision makers on the team and have a broad range of responsibilities, including: Research and development of new investment models Generating ideas for new investment insights Apply a variety of skills and techniques in finance, data science and statistics Collaborate with our technology, portfolio management and investment process teams to deliver exceptional investment performance What You Bring Domain Expertise – You have a deep understanding of the drivers of business success, securities valuation, and markets. You can effectively apply both creativity and discipline to sourcing and evaluating novel data sets that are useful for predicting the performance of companies and securities. Analytical Mindset – You have experience with producing rigorous quantitative research, particularly in finance, and are adept at balancing intuition with statistical validation. Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science or related discipline. Graduate level studies are valuable in this role. Exceptional achievements and recognition (e.g., research or awards) are helpful in demonstrating your abilities. Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts. We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The annual base salary for this position is $125,000 - $200,000 for new graduates. Our compensation and benefits package includes substantial variable compensation in the form of a year-end bonus, RRSP contribution matching, health benefits, and family building benefits. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter and transcript. Please note, this posting is specifically for the quantitative research group and experience in academic research is usually preferred. #LI-HYBRID #LI-RC1 CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Quantitative Research Analyst at Connor, Clark & Lunn Investment Management. Skills: Quantitative research, Data science, Finance. Research and development of new investment models. Generate ideas for new investment insights", "postedDate" : "2026-06-14T04:00:17.587", "createdAt" : "2026-06-14T04:00:17.587", "lastUpdated" : "2026-06-15T05:00:42.980", "ingestTimestamp" : "2026-06-14T04:00:17.587", "mongoId" : "6a2c7c2274d8ee00a094c65e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Algorithmic strategies", "Predictive modeling", "Quantitative research", "Data science", "Finance", "Securities valuation", "Investment insights", "Financial markets", "Algorithmic investment strategies", "Bloomberg Terminal" ], "skillCount" : 10, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 376.91132, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7fc374d8ee00a0956393", "title" : "Ad Measurement Lead", "company" : "Roku", "industry" : "Media", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Ad Measurement position in New York, adjusted for the technology industry and company size." }, "location" : "New York, New York, U.S.", "locations" : [ "New York", "New York", "U.S." ], "timestamp" : "2026-06-15T05:18:08.070", "fingerprint" : "4d624553fb85e819bf6e749d37edc55e38e077cb3cb837159f4f3fffb3952ca4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.weareroku.com/jobs/8000996?gh_jid=8000996", "externalId" : "8000996", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AI", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Client management" ], "hardSkillsList" : [ "Quantitative studies", "Qualitative studies", "Meta-analyses" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Quantitative studies", "level" : "intermediate" }, { "name" : "Qualitative studies", "level" : "intermediate" }, { "name" : "Meta-analyses", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Ad measurement, Research strategy, Analytics, AI tools", "majorSkillsList" : [ "Ad measurement", "Research strategy", "Analytics", "AI tools" ], "coreResponsibilities" : "Consult advertisers and agencies, Create measurement plans, Test advertising effectiveness, Test advertising outcomes, Cultivate strategic relationships, Lead quantitative studies, Lead qualitative studies, Scope study feasibility, Perform data analysis, Generate reports, Present results internally, Present results externally, Manage relationships with providers, Work with internal stakeholders, Partner closely with marketing, Partner closely with sales, Partner closely with client service, Partner closely with product, Partner closely with partnerships, Execute against strategic initiatives, Develop scalable solutions, Conduct meta-analyses, Create case studies, Educate clients, Educate the market, Educate internal teams, Challenge existing measurement solutions, Improve existing measurement solutions, Provide guidance to junior teammates, Provide mentorship to junior teammates, Share knowledge with junior teammates, Train junior teammates", "teamCollaboration" : "Collaborate with peers; Partner with colleagues; Partner with external partners; Agency analytics team; Internal stakeholders; Marketing; Sales; Client service; Product; Partnerships; Product teams; Analytics teams", "domainKnowledge" : "Enterprise verticals; Political verticals; Advocacy verticals; Government verticals; Independent verticals; TV advertising", "domainList" : [ "enterprise-verticals", "political-verticals", "advocacy-verticals", "government-verticals", "independent-verticals", "tv-advertising" ], "domainSpecificKnowledge" : [ "Enterprise verticals", "Political verticals", "Advocacy verticals", "Government verticals", "Independent verticals", "TV advertising" ], "communicationSkills" : "Client presentations", "documentationSkills" : "Create case studies", "continuousLearning" : "Develop proactive learning agenda", "innovationCreativity" : "Invent new solutions", "problemSolvingSkills" : "Problem-solving skills; Creatively problem solve; Invent new solutions", "qualificationsBasic" : "Ad measurement and research strategy, Analytics, research, and measurement projects, Data analysis, Report generation, Presenting results, Manage third-party measurement providers, Onboard and integrate new providers, Develop proactive learning agenda, AI tools and agents proficiency", "qualificationsPreferred" : "Passion for political and advocacy landscape", "workSiteFlexibility" : "Onsite", "rawDescription" : "Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Role Roku pioneered streaming to the TV and continues to innovate and lead the industry. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. While we are well-positioned to help shape the future of television - including TV advertising - around the world, continued success relies on how well we show our advertisers the value we just delivered. Roku is seeking an Ad Measurement Lead to join our growing Ad Measurement team. You will play an integral role in building ad measurement and research strategy with a focus on the Enterprise, Political, Advocacy & Government (PAG) and Independent verticals. This includes developing and executing against a wide range of analytics, research, and measurement projects to help advertisers succeed on Roku. You will work to creatively problem solve and understand business objectives and challenges, while having personal comfort with data, and an entrepreneurial spirit to take ownership of solving challenges for internal and external stakeholders. Our environment is fast-paced, requiring the ability to work autonomously with minimal supervision in an ever-changing environment. You will need to demonstrate excellent problem-solving skills and invent new solutions to address business needs. The right mix of organizational and communication skills is key to success. Attention to detail and a proven ability to manage priorities are also essential. You will be expected to build complete, end-to-end process for new solutions, from scoping to repeatability. We are looking for people ready to lead by example, collaborate with peers, and partner with colleagues and external partners. The ideal candidate combines deep expertise in ad measurement methodologies with the ability to translate complex data insights into actionable recommendations, and brings strong client management skills to every engagement. A passion for the political and advocacy landscape is a plus. You will play a key role in developing a proactive learning agenda to elevate clients' measurement strategy and representing Roku's measurement capabilities at client presentations. An AI-first mindset is essential for success in this role. Candidates must demonstrate proficiency in using AI tools and agents to drive efficiency and scale across measurement workflows – from campaign analysis and insight generation to process automation. For New York Only - The estimated annual salary for this position is between $90,500-121,500 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. What you'll be doing Consult with advertisers and agencies to create measurement plans that test advertising effectiveness and outcomes. Cultivate strategic relationships with the agency analytics team. Independently lead quantitative and qualitative studies from start-to-finish. This includes scoping study feasibility, performing data analysis, generating reports and presenting results both internally and externally. Manage relationships with third-party measurement providers and work with internal stakeholders to onboard and integrate new providers. Partner closely with marketing, sales, client service, product, partnerships and more to execute against strategic initiatives and develop scalable solutions to industry challenges. Conduct meta-analyses and create case studies utilizing third party measurement data to educate clients, the market, and internal product and analytics teams.   Continuously challenge and improve our array of existing measurement solutions. Provide guidance and mentorship to junior teammates through knowledge sharing and training. We're excited if you have 3-7 years' experience in campaign analytics, attribution, measurement, or research. Media experience (TV, video, digital) is preferred. Experience in designing conversion studies leveraging client 1P data, including familiarity with pixel-based attribution, CAPI and MMP integration, is preferred. Experience in ad effectiveness studies with third-party measurement vendors such as Nielsen, comScore, iSpot, Experian, Kantar, InMarket, etc is preferred. Experience in A/B testing, incrementality measurement, MTA (Multi-Touch Attribution), MMM (Media Mix Model) is preferred. Experience in leveraging AI for analysis, productivity and workflow automation. Ability to run analyses utilizing SQL, Excel, Tableau or similar tools. Ability to work with ambiguous data to create insights that reflect strong business judgment. Speak comfortably in a variety of settings including one-on-one and in front of large group with the ability to adapt communication style for different audiences. Present comfortably to senior level clients independently. Ability to collaborate with cross-functional teams and build close relationships within and across teams. Ability to work independently with agility and prioritize effectively with a strong sense of urgency. Experience working in the measurement space for major political advertisers, including pulling political insights, developing thought leadership and executing campaign measurement is preferred. #LI-KR3 Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.  We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.  To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.", "summaryDescription" : "Ad Measurement Lead at Roku. Skills: Ad measurement, Research strategy, Analytics, AI tools. Consult advertisers and agencies. Create measurement plans", "postedDate" : "2026-06-14T03:12:45.031", "createdAt" : "2026-06-14T03:12:45.031", "lastUpdated" : "2026-06-15T05:18:08.070", "ingestTimestamp" : "2026-06-14T03:12:45.031", "mongoId" : "6a2c7fc374d8ee00a0956393", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Quantitative studies", "Qualitative studies", "Meta-analyses", "Leadership", "Mentoring", "Ad measurement", "Research strategy", "Analytics", "AI tools", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Client management", "Enterprise verticals", "Political verticals", "Advocacy verticals", "Government verticals", "Independent verticals", "TV advertising" ], "skillCount" : 20, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 374.41156, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6bb474d8ee00a09141c6", "title" : "Junior Quantitative Researcher", "company" : "Quantbox Research", "industry" : "FinTech", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Junior Quantitative Researcher in Bengaluru, India, adjusted for FinTech industry and entry-level experience." }, "location" : "Bengaluru, Karnataka, India", "locations" : [ "Bengaluru", "Karnataka", "India", "Hong Kong", "Singapore", "Central", "Singapore" ], "timestamp" : "2026-06-15T09:44:34.706", "fingerprint" : "07f6bc3993293ef29611ff57c8f11d338065a4854797fc19967782c00fb2b4b9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/quantboxresearchpte/jobs/4001979101", "externalId" : "4001979101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, C++, R", "softSkillsList" : [ "Independent thinking", "Creative approach" ], "softSkills" : [ { "name" : "Independent thinking" }, { "name" : "Creative approach" } ], "coreResponsibilities" : "Build models, Improve models", "teamCollaboration" : "Work alongside traders; Work alongside software developers; Work alongside engineering team", "qualificationsBasic" : "Bachelor's degree, 1-2 years of experience", "qualificationsPreferred" : "PhD in mathematics, PhD in computer science, PhD in statistics, PhD in physics, Research experience a plus, Trading experience a plus", "workSiteFlexibility" : "Onsite", "rawDescription" : "Quantbox is a technology-driven proprietary trading firm that specializes in systematic alpha research and electronic market-making on various exchanges. We trade across a multitude of asset classes and trading venues with significant market share. We are looking for Junior Quantitative Researcher/Trader to join our team. What you’ll need: You possess a bachelor's degree / PhD in mathematics, computer science, statistics, physics, or a related field 1-2 years of experience in research or trading a plus Ability to think independently and use creative approach in problem solving Familiarity with python, C++, R programming languages You will be responsible for building and improving the models that keeps us competitive in the market. You will work alongside the traders, software developers and our engineering scientist, you would learn, research, improve, test, build our trading algorithms to increase trading profitability. A typical day involves applying rigorous scientific method, machine learning techniques to a vast array of datasets in order to create insights on how the market behave. Quantbox is an equal opportunity employer. Quantbox is a place of friends and colleagues, where people convert their passion into action. We believe in togetherness that brings out the best in ourselves and our Company. Our open and casual work culture gives you the space to innovate and deliver. Everyone on the team is approachable. Employee remuneration packages are reviewed regularly to ensure that they remain competitive. In recognition of our employees’ contributions and performance, for full time permanent roles we provide: Competitive compensation 4 Weeks of paid vacation Medical insurance International team outing Quantbox is an equal opportunities employer.", "summaryDescription" : "Junior Quantitative Researcher at Quantbox Research. Build models. Improve models", "postedDate" : "2026-06-13T20:50:22.456", "createdAt" : "2026-06-13T20:50:22.456", "lastUpdated" : "2026-06-15T09:44:34.706", "ingestTimestamp" : "2026-06-13T20:50:22.456", "mongoId" : "6a2c6bb474d8ee00a09141c6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Independent thinking", "Creative approach" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 373.52872, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c2b74d8ee00a094c829", "title" : "Quantitative Developer, Intern", "company" : "Man Group", "industry" : "FinTech", "salary" : { "min" : 120000.0, "max" : 240000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern in FinTech in China, adjusted for company size and industry." }, "location" : "China", "locations" : [ "China" ], "timestamp" : "2026-06-15T12:02:15.073", "fingerprint" : "41ea312f02588658cfa5e916ad3690a0279d74417f650c3a8fce22fb04e8cf47", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/mangroup/jobs/4847708101", "externalId" : "4847708101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "China", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "China", "employmentType" : "INTERNSHIP", "rawDescription" : "About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com * As at 31 December 2025 Key Skills if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.", "summaryDescription" : "Quantitative Developer, Intern at Man Group", "postedDate" : "2026-06-14T03:08:01.891", "createdAt" : "2026-06-14T03:08:01.891", "lastUpdated" : "2026-06-15T12:02:15.073", "ingestTimestamp" : "2026-06-14T03:08:01.891", "mongoId" : "6a2c7c2b74d8ee00a094c829", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 371.47177, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "69fc49a74c40e2acd1a83413", "title" : "Sr. Quantitative Modeler", "company" : "Hyundai Capital America", "industry" : "FinTech", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Quantitative Modeler in Irvine, United States, adjusted for industry and company size." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-15T08:02:58.393", "fingerprint" : "21242e381c0de76f297b61be4db279eb8c3438c6272bff61c4cd73830f01790d", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=113547", "externalId" : "113547", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SAS, Python, R, Machine Learning, Artificial Intelligence", "professionalSkills" : [ "Model development", "Model implementation", "Model monitoring", "Data quality validation" ], "hardSkillsList" : [ "Predictive modeling", "Statistical analysis", "Generalized regression", "Survival analysis", "Sampling design", "Hypothesis testing", "Stochastic processes" ], "hardSkills" : [ { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Generalized regression", "level" : "intermediate" }, { "name" : "Survival analysis", "level" : "intermediate" }, { "name" : "Sampling design", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" }, { "name" : "Stochastic processes", "level" : "intermediate" } ], "majorSkills" : "Quantitative modeling, Credit risk, Machine Learning", "majorSkillsList" : [ "Quantitative modeling", "Credit risk", "Machine Learning" ], "coreResponsibilities" : "Lead design and development of predictive models, Provide analytic solutions, Support business functions, Implement models, Monitor models, Maintain model production processes, Perform additional analysis, Support business functions, Partner with auditors, Partner with model validation, Partner with legal, Partner with compliance, Partner with accounting, Ensure regulatory compliance, Adhere to internal policies, Partner with IT, Partner with data engineering, Partner with EDW teams, Validate data quality, Improve data quality", "teamCollaboration" : "Partner with internal stakeholders; Partner with external stakeholders; Partner with IT teams; Partner with data engineering; Partner with EDW teams", "domainKnowledge" : "Credit risk; Credit bureau data; Regulatory requirements; Market trends; Financial industry; Auto industry", "domainList" : [ "credit-risk", "credit-bureau-data", "regulatory-requirements", "market-trends", "financial-industry", "auto-industry" ], "domainSpecificKnowledge" : [ "Credit risk", "Credit bureau data", "Regulatory requirements", "Market trends", "Financial industry", "Auto industry" ], "communicationSkills" : "Translate concepts to insights", "problemSolvingSkills" : "Analytical methods; Analytic techniques", "qualificationsBasic" : "8 years predictive modeling experience, 5 years financial auto industry experience, Master's degree in quantitative fields, Proficiency in statistical programming, Proficiency in Machine Learning algorithms", "qualificationsPreferred" : "Ph. D. preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice What to Expect The Sr. Quantitative Modeler will act as a lead modeler in the research and development of predictive quantitative models and delivering model-related analytic support. This position provides technical and methodological leadership and expertise for the application of advanced analytic methods and techniques in the business environment. What You Will Do · Lead the design and development of predictive models and provide analytic solutions to support business functions including model implementation and monitoring. · Maintain model production processes and perform additional analysis as needed to support business functions across HCA. · Partner with internal and external auditors, model validation, legal and compliance, accounting, and other stakeholders to ensure regulatory compliance and adherence to internal policies. · Partner with IT, data engineering and EDW teams to validate and improve data quality. What You Will Bring · Minimum 8 years predictive modeling experience with focus on credit risk, credit bureau data, regulatory requirements, market trends including 5 years within the financial and auto industry. · Master’s degree in quantitative fields such as Statistics, Data Science, Economics, Econometrics, Mathematics. · Ph.D. preferred. · Deep understanding of statistical and data science, theoretical foundations and techniques, such as generalized regression, survival analysis, sampling design, hypothesis testing, stochastic processes etc. · Proficiency in Machine Learning algorithms and models, and familiarity with Artificial Intelligence approaches and platforms. · Financial and auto industry knowledge, including credit risk, credit bureau data, regulatory requirements, market trends. · Ability to translate abstract statistical concepts and analytic results into actionable business insights. · Proficiency in statistical programming utilizing SAS, Python, R or other related software and platforms. · Strong communication and collaboration skills. · Attention to detail and timelines. Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Sr. Quantitative Modeler at Hyundai Capital America. Skills: Quantitative modeling, Credit risk, Machine Learning. Lead design and development of predictive models. 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Investment teams; Senior members", "projectManagementSkills" : [ "Agile", "Scrum", "JIRA", "Roadmap planning", "Kanban", "PMP" ], "domainKnowledge" : "Quantitative equity investment management; Investment engine; Alpha; Risk; Portfolio optimization; Market implementation; Quantitative model; Portfolios; Data assets; Optimizers; Systematic investment insights; Vendor data", "domainList" : [ "quantitative-equity-investment-management", "investment-engine", "alpha", "risk", "portfolio-optimization", "market-implementation", "quantitative-model", "portfolios", "data-assets", "optimizers", "systematic-investment-insights", "vendor-data" ], "domainSpecificKnowledge" : [ "Quantitative equity investment management", "Investment engine", "Alpha", "Risk", "Portfolio optimization", "Market implementation", "Quantitative model", "Portfolios", "Data assets", "Optimizers", "Systematic investment insights", "Vendor data" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Executive presentations; Technical documentation; Client meetings", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Mentorship programme; Career development plans", "innovationCreativity" : "Operational innovation; R&D projects; Hackathons; Prototype development; Design thinking", "problemSolvingSkills" : "Root cause analysis; Debugging; Data-driven decision making; Troubleshooting", "outcomesObjectives" : "Accurate trade generation; Timely trade generation", "qualificationsBasic" : "Undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline, SQL proficiency, 5+ years experience", "qualificationsPreferred" : "Completion of CFA, Relevant graduate degree, PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Flexible", "rawDescription" : "We are looking for a Quantitative Equity Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging finance skills and cutting-edge technology, we ensure data quality, continuous process improvement, and operational excellence. As a core member of our team, you'll collaborate with investment experts to tackle challenging analytical problems, be accountable to ensure accurate and timely trade generation, and drive operational innovation. Based in West Coast Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment engine and overall success. What You Will Do This is an exciting full-time role for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data science and process engineering skillsets to accelerate the Quantitative Equities Team’s various investment functions. Your specialized role may involve building, scaling, managing and/or analyzing our quantitative model, portfolios, data assets and optimizers. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Investment Process Management The team you will be joining is our Investment Process Management (IPM) group within our Quantitative Equities Team. IPM plays a central role in building highly scalable, efficient, and robust process management systems. The processes and infrastructure we maintain are critical in the team’s ability to develop systematic investment insights and generate daily trades to capture these insights in portfolios. The opportunity within the IPM group allows ambitious individuals to drive their career growth within IPM, or across the other functions of the Quantitative Equities Team in Research, Portfolio Construction, or Trading. While we take the approach of tailoring the career path for the individual, we have found our functions to cover two main overarching technical skillsets: Process and Reliability Engineering Design, implement and test production processes to run the alpha and risk, portfolio optimization and market implementation processes. Design robust, high performance and effective process orchestration. Monitor production health and respond to critical issues in a timely manner. Effectively communicate real-time production issues to portfolio managers, traders and researchers. Identify computational bottle necks and improve run speeds in production systems. Collaborate with investment teams to ensure their process needs are being met. Find and evaluate areas for process improvements. Assess and evaluate data quality of production processes. Maintain process repos, clean code and tools within production processes. Data Science Construct and run algorithms to explore and assess data effectively. Validate structured and unstructured data sets for data quality. Design and test data loaders and security matching processes and specifications. Perform data analysis and provide data expertise to support researcher’s projects. Facilitate production machine learning operational pipelines with effective and timely auditing and analysis. Enable accessibility and clarity within our data assets through robust documentation and data scrubbing. Develop robust methodologies for assessing and analyzing data in time critical production environments. Respond to and mitigate vendor data issues effectively in a production setting. Collaborate with cross-functional teams to integrate traditional and alternative data into existing analytical frameworks and decision-making processes. Present findings and recommendations to key stakeholders in a clear, concise, and compelling manner. What You Bring Analytical Mindset – You think critically and creatively and are adept at balancing intuition with statistical validation. Financial Knowledge – You possess a thorough understanding of (or strong desire to learn) key drivers of business success, including financial theory, economic models, and corporate financial statements. Self-Starter – You are motivated and willing to take personal accountability for quality and timeliness of work. Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts. Time Management – You have the ability to manage and prioritize multiple ongoing projects and daily responsibilities. Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline. Completion of CFA or relevant graduate degree is considered an asset. Industry Experience – You have a passion for quantitative finance, equity investment, data science or related fields. Reasons to Grow Your Career with Us Impact – We help create opportunities for you to leverage your personal strengths to make a positive impact on our business. Culture – Collaboration and innovation are deeply rooted in our culture. We enjoy working together and align our passions in pursuit of a shared objective in every project we undertake. Development – We create conditions for success tailored to each employee through internally developed career development plans. Mentorship – We believe that developing great people is the key to great success. You will have opportunities to share, hear and learn about career experiences from peers and senior team members. Work-Life Balance – Vancouver is surrounded by water, mountains, and cherry blossoms. We work hard in our professional lives but also create space to enjoy our personal lives. We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The base salary range for full-time roles is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter, and academic transcript. #LI-HYBRID #LI-RC1 CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Quantitative Equity Analyst at Connor, Clark & Lunn Investment Management. Skills: Quantitative finance, Data science, Process engineering, Machine learning. Design production processes. 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Continuously improve online service quality through technical engineering and assume ownership of the reliability of the live trading environment. Collaborate closely with Quantitative Researchers to facilitate the deployment and continuous iteration of diverse strategies at varying scales. Ensure these strategies execute efficiently in the production environment to generate substantial returns. Guarantee the stable operation of live trading systems. Manage production incidents during trading hours and maintain readiness to address critical emergency situations. Optimize the performance of trading and order execution systems across multiple dimensions, including computation, storage, networking, and hardware resources. Qualifications Bachelor’s degree or higher in Computer Science or a related field. Minimum of 2 years of relevant professional experience. Proficiency in the Linux operating system. Technical proficiency in at least one of the following): C++ and one scripting language. Python 3 and one strongly typed language (e.g., Java, Go, Rust). Familiarity with the full production lifecycle and iteration workflows of online services, with an understanding of technical methods to enhance service reliability. Familiarity with engineering best practices including Git, code review, and CI/CD. Adept at building developer tools with a pursuit of technical excellence. Strong interest in quantitative trading; fluent in both Chinese and English. Preferred Qualifications Award winners in ACM/ICPC, NOI/NOIP, or other major informatics competitions. Experience maintaining mission-critical products with high complexity and massive scale. Strong system design capabilities, with the ability to architect systems for performance, reliability, and availability. Experience in financial trading systems or post-trade workflow development.", "summaryDescription" : "Quantitative Product Development Engineer at Metabit Technology LLC. 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Ideas challenged directly", "domainKnowledge" : "Financial instruments; Market structure; Trading systems; Time scales; Microseconds to weeks; Non-stationary data; Weak signals; Short-lived signals; Model evaluation; Costs; Latency; Risk; Capacity", "domainList" : [ "financial-instruments", "market-structure", "trading-systems", "time-scales", "microseconds-to-weeks", "non-stationary-data", "weak-signals", "short-lived-signals", "model-evaluation", "costs", "latency", "risk", "capacity" ], "domainSpecificKnowledge" : [ "Financial instruments", "Market structure", "Trading systems", "Time scales", "Microseconds to weeks", "Non-stationary data", "Weak signals", "Short-lived signals", "Model evaluation", "Costs", "Latency", "Risk", "Capacity" ], "problemSolvingSkills" : "Test hypotheses; Read ambiguous results; Change mind quickly", "qualificationsBasic" : "Deep practical understanding of modern deep learning, Mathematical and statistical foundations, Excellent programming ability, Comfort working close to implementation details, Good experimental taste, High standards, Intellectual honesty", "qualificationsPreferred" : "PhD or equivalent research experience, Experience training large models, Building ML systems at scale, Time-series modelling experience, Online learning experience, Continual learning experience, Reinforcement learning experience, Causal inference experience, Probabilistic modelling experience, Optimisation experience, Compilers experience, HPC experience, Low-latency systems experience, Experience taking research beyond prototype", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Firm XTX Markets is a leading algorithmic trading firm. We build models that forecast prices for more than 53,000 financial instruments across equities, fixed income, currencies, commodities and crypto. Those forecasts are used to trade on exchanges and other venues, and to provide liquidity to clients. The firm trades over $250bn a day across 35 countries, with over 300 people in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. XTX is a technology business. Trading here is driven by research, large-scale computation and careful engineering. Over the last decade our models have moved from the econometric methods that gave the firm its name, through trees and neural networks, to modern deep learning. We expect that evolution to continue, and we are looking for researchers who can push it. The research platform is large by any standard, and particularly unusual in trading: well over 25,000 GPUs and more than 1 exabyte of usable storage, with further compute being built in Finland. The point is simple: good ideas should not be bottlenecked by data, infrastructure or compute. The Team This role sits in XTX's central Quantitative Research team, the group responsible for the firm's core forecasting research. The team reports directly to XTX's founder and is intentionally flat. There is little ceremony and little hierarchy; researchers are expected to have ideas, test them properly, argue from evidence and get useful work into the system. The work is modern ML research, not finance by another name. You do not need to have worked in trading. The best candidates usually have strong research taste, mathematical depth and the ability to make models work in practice. An interest in markets helps, because the domain is full of useful structure, but trading intuition can be built here. The Role Trading is a hard setting for machine learning in ways that are not always obvious from outside the industry. The data is enormous, messy, non-stationary and produced by other agents. Signals are weak and often short-lived. Evaluation is unforgiving: costs, latency, risk and capacity all matter, and a model that looks good in a backtest may still be useless in the market. The time scales also range from microseconds to weeks, so there is no single right abstraction. Your job will be to do original research that improves XTX's forecasting and trading systems. Depending on your background, that may mean: Designing and training deep learning models for large-scale time-series and cross-sectional prediction. Improving representations, objectives, optimisation, regularisation, uncertainty estimates, evaluation methods or scaling. Making models more robust under distribution shift and feedback from the market. Working with engineers and trading technologists to turn research into production systems. Learning enough market structure to ask better modelling questions. This is not about applying standard methods to tidy datasets. It is a place to do serious ML research on difficult data, with enough compute and infrastructure for ambitious ideas to be tested properly. What We Are Looking For Evidence of original technical ability in ML, statistics, mathematics, computer science, physics or another quantitative field. Publications are one route, but not the only one; strong industrial research or major open-source contributions can also be good evidence. Deep practical understanding of modern deep learning: architectures, objectives, optimisation, scaling, evaluation and failure modes. Strong mathematical and statistical foundations. Excellent programming ability and comfort working close to the details of implementation. Good experimental taste: forming hypotheses, designing clean tests, reading ambiguous results and changing your mind quickly when the evidence changes. High standards, intellectual honesty and the ability to work in a flat team where ideas are challenged directly. No finance background is needed; the important thing is being willing to learn the domain. Beneficial Experience PhD or equivalent research experience in a relevant technical field. Experience training large models or building ML systems at meaningful scale. Work in time-series modelling, online or continual learning, reinforcement learning, causal inference, probabilistic modelling, optimisation, compilers, HPC or low-latency systems. Experience taking research beyond a prototype. Benefits Key benefits include: Onsite gym, sauna and fitness classes. Extensive medical benefits, including onsite doctor and therapist. Breakfast and lunch provided daily. Support for caregivers, including emergency dependent care. King's Cross office. 25 days paid holiday per year, plus statutory holidays and paid sick days. Generous pension contributions.", "summaryDescription" : "Quantitative Researcher - Deep Learning at XTX Markets. Skills: Deep learning, ML research, Forecasting systems, Modelling. Do original research. 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Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe. Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance. What We're Looking For The Quantitative Strategies Group (QSG) at Cross River is seeking an Associate/AVP, Quant Strategist to join its growing team. The team sits within the Capital Solutions Group (CSG) and serves as a centralized function for investment intelligence and quantitative decision making across investment, structuring, and portfolio management initiatives. The role sits at the intersection of structured finance, investment strategy, and advanced analytics - bridging the gap between raw data and capital decisions. The role will work closely with the Structured Products Group (SPG) and Principal Finance Group (PFG) to support investment underwriting, new deal origination, term ABS issuance/advisory, and active portfolio management. The ideal candidate will combine strong analytical and technical skills with commercial judgement - someone who can analyze collateral performance, understand relevant risk factors, form a view on underlying assets, build scalable analytical tools, and translate complex quantitative outputs into clear investment recommendations. This is a high-impact role for someone who wants exposure to live transactions, structured credit markets, and data-driven decision-making. Responsibilities: Work closely with SPG and PFG to provide quantitative and analytical insights across investment opportunities, ABS securitizations, and structured credit transactions - from deal inception through execution Support capital commitment objectives through systematic underwriting of investment opportunities. Deliver refined and polished views on analytics, base/stress assumptions, and cashflow models that accurately capture the risk/reward dynamics of potential trades Support investment advisory mandates by producing market-ready analytics, comparative deal analyses, and performance benchmarks that help articulate differentiated value proposition to clients and counterparties Develop and maintain analytical frameworks to evaluate collateral pools, form views on key pricing assumptions (e.g., prepayment speeds, default/loss curves), and deliver actionable insights that inform deal economics and structuring decisions Translate quantitative outputs into clear/concise narratives and presentation materials that support pitch efforts, client discussions, and internal committees Partner with the team to identify, prioritize, and integrate high-impact AI use cases across workflows. Explore and implement AI-driven approaches to collateral analysis using LLMs and Python based tools Partner with other functions within CSG and across the bank to ensure consistency in assumptions, methodologies, and market intelligence used across the group Qualifications: Master’s degree in financial engineering, math, statistics, computer science, or any another quantitative/analytical field required 3+ years of experience in Structured Finance, Securitization, or broader Fixed Income markets is required. Direct exposure to ABS products is strongly preferred Strong understanding of cashflow modeling and securitization mechanics - deal waterfalls, tranche structures, collateral performance analysis is preferred Proficiency in advanced excel & programming is required for this role. Hands-on experience in Python & SQL is critical for success Excellent communication and presentation skills - ability to distill complex analytics into clear, persuasive narratives for both internal stakeholders and external counterparties Builder's mentality - someone who doesn't just use existing tools but actively seeks to improve how the team works by introducing new technologies, frameworks, and AI-driven efficiencies Ability to thrive in a fast-paced, deal-driven environment with competing priorities and tight turnaround times Detail-oriented with strong organizational skills and a proactive, ownership-driven mindset #LI-JJ1 #LI-Hybrid #LI-Onsite Salary Range: $150,000.00 - $190,000.00 Cross River is an Equal Opportunity Employer. Cross River does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. By submitting your application, you give Cross River permission to email, call, or text you using the contact details provided. We will only contact you with job related information.", "summaryDescription" : "Associate/AVP, Quantitative Strategies Group at Cross River", "postedDate" : "2026-06-14T21:31:33.591", "createdAt" : "2026-06-14T21:31:33.591", "lastUpdated" : "2026-06-16T03:27:15.846", "ingestTimestamp" : "2026-06-14T21:31:33.591", "mongoId" : "6a2c7fe674d8ee00a0956d12", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 190000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 348.83868, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c5e8d74d8ee00a08e4da9", "title" : "Measurement Lead", "company" : "Brandtech+", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Lead Measurement role in the Marketing industry, adjusted for a remote position in India." }, "location" : "BTG+", "locations" : [ "BTG+" ], "timestamp" : "2026-06-15T00:28:09.903", "fingerprint" : "094024f3916f2150eb92a7084d9e0abf67f2206191a2185e2db4d5deda186410", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/brandtechplus/jobs/8000033", "externalId" : "8000033", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Python, R, Scala, Spark, dbt, Tableau, Power BI, Looker Studio, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data governance", "Performance analysis", 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risks, Resolve reporting issues, Promote data management best practices, Promote reporting governance best practices, Build regular reporting outputs, Translate complex datasets into insight, Support governance forums, Support performance reviews, Support client reporting, Analyse delivery trends, Analyse utilisation trends, Analyse efficiency trends, Analyse financial performance trends, Improve visibility across workflows, Improve visibility across resource planning, Improve visibility across performance tracking, Support forecasting activities, Support planning activities, Support performance analysis activities, Identify operational inefficiencies, Identify optimisation opportunities, Contribute to scalable reporting solutions, Contribute to automated workflows, Support integration across reporting tools, Support integration across delivery systems, Support integration across finance platforms, Support integration across workflow trackers, Improve reporting accessibility, Improve reporting automation, Improve reporting usability, Streamline reporting processes, Reduce manual effort, Encourage consistent adoption of measurement frameworks, Encourage consistent adoption of reporting best practices, Partner with internal stakeholders, Understand reporting needs, Understand reporting priorities, Support client-facing reporting requirements, Present clear data, Present accurate data, Present transparent data, Shape performance narratives, Shape reporting materials for governance meetings, Shape reporting materials for business reviews, Build working relationships across teams, Ensure alignment across teams, Ensure consistency across teams", "teamCollaboration" : "Global teams; Regional teams; Delivery teams; Operations teams; Finance teams; Strategy teams; Internal stakeholders; Client-facing reporting", "domainKnowledge" : "Marketing operations; Agency reporting; Client value demonstration", "domainList" : [ "marketing-operations", "agency-reporting", "client-value-demonstration" ], "domainSpecificKnowledge" : [ "Marketing operations", "Agency reporting", "Client value demonstration" ], "toolProficiency" : [ "Power BI", "Tableau", "Looker Studio" ], "communicationSkills" : "Clear communication; Concise communication; Commercially relevant insight; Performance narratives; Data presentation", "continuousLearning" : "Always learning and listening", "innovationCreativity" : "Leveraging cutting-edge AI technology; Enhance efficiency; Spark creativity; Drive insightful decision-making; Produce innovative results", "problemSolvingSkills" : "Analytical capability; Problem-solving skills; Translate complexity; Practical recommendations", "outcomesObjectives" : "Demonstrate value to clients; Support effective decision-making", "qualificationsBasic" : "5–8+ years’ experience in reporting, analytics, operations, or performance-focused roles, Advanced Excel skills, Experience using reporting and visualisation tools", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Brandtech+ (formerly known as OLIVER+) is a global team of creative thinkers, tech-savvy trendsetters, and production pros specialising in film, CGI, automation, AI, motion design, and digital/print content. We partner with over 300 clients in 40+ countries and counting. Our focus is to connect clients with high-quality solutions, talent and ambitious opportunities worldwide.  As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Measurement Lead Location: Remote working until further notice ABOUT THE ROLE: Brandtech+ is evolving how data is structured, governed, and utilised across global client accounts. The Measurement Lead plays a key role in shaping how delivery, operational, financial, and performance data are captured, connected, interpreted, and communicated across The Mix. This role is responsible for driving consistency, accuracy, and transparency across reporting and measurement frameworks, ensuring stakeholders have access to reliable, actionable insights that support effective decision-making and demonstrate value to clients. Working closely with global and regional teams across delivery, operations, finance, and strategy, the Measurement Lead will support the development of scalable reporting structures, robust data governance processes, and integrated performance views across projects, people, finance, and operational metrics. The role is suited to someone who combines strong analytical capability with operational understanding and excellent stakeholder management skills. The successful candidate will be comfortable working across multiple data sources and business functions, translating complexity into clear reporting, meaningful insight, and practical recommendations. This is a hands-on role within a fast-moving global environment, requiring a proactive and detail-oriented individual who can balance strategic thinking with day-to-day execution and continuous improvement. WHAT YOU WILL BE DOING: Measurement & Reporting Frameworks Support the development and ongoing evolution of reporting and measurement frameworks across The Mix. Establish consistent approaches to tracking delivery, operational, financial, and performance metrics. Help standardise reporting structures, KPI definitions, and data taxonomies across markets and teams. Ensure reporting outputs align to client objectives, business priorities, and operational requirements. Data Governance & Quality Control Own and maintain data integrity across reporting inputs and outputs. Develop and implement processes for data validation, quality assurance, and reporting accuracy. Identify inconsistencies, gaps, and risks within reporting structures and work with stakeholders to resolve them. Promote best practice approaches to data management and reporting governance across teams. Performance Reporting & Insight Build and maintain regular reporting outputs for global and regional stakeholders. Translate complex datasets into clear, concise, and commercially relevant insight. Support governance forums, performance reviews, and client reporting through accurate and meaningful performance narratives. Analyse trends and patterns across delivery, utilisation, efficiency, and financial performance metrics. Operational & Commercial Support Work closely with delivery, operations, and finance teams to improve visibility across workflows, resource planning, and performance tracking. Support forecasting, planning, and performance analysis activities through reliable reporting and structured insight. Assist in identifying operational inefficiencies and opportunities for optimisation through data analysis. Contribute to the development of scalable reporting solutions and automated workflows where appropriate. Tools, Systems & Process Improvement Support integration and alignment across reporting tools, delivery systems, finance platforms, and workflow trackers. Help improve reporting accessibility, automation, and usability across teams. Partner with operational and technology stakeholders to streamline reporting processes and reduce manual effort. Encourage consistent adoption of measurement frameworks and reporting best practices globally. Stakeholder & Client Collaboration Partner with internal stakeholders across delivery, strategy, finance, and operations to understand reporting needs and priorities. Support client-facing reporting requirements with clear, accurate, and transparent data presentation. Help shape performance narratives and reporting materials for governance meetings and business reviews. Build strong working relationships across global and regional teams to ensure alignment and consistency. WHAT YOU WILL NEED TO BE GREAT AT THIS ROLE: 5–8+ years’ experience in reporting, analytics, operations, or performance-focused roles within agencies, marketing operations, or in-house environments. Strong analytical and problem-solving skills, with the ability to interpret and communicate complex information clearly. Experience working with performance reporting, operational data, financial metrics, and KPI tracking. Advanced Excel skills and confidence working with large or complex datasets. Experience using reporting and visualisation tools such as Power BI, Tableau, Looker Studio, or equivalent platforms. Strong organisational skills with high attention to detail and accuracy. Ability to manage multiple priorities and stakeholders within fast-paced environments. Excellent communication and stakeholder management skills. A collaborative and proactive approach, with a strong focus on continuous improvement. Req ID - 17490 #LI-SJ1 #LI-REMOTE #LI-Senior #BTG+ Our values shape everything we do: Be Ambitious to succeed  Be Imaginative to push the boundaries of what’s possible  Be Inspirational to do groundbreaking work  Be always learning and listening to understand  Be Results-focused  to exceed expectations  Be actively pro-inclusive and anti-racist across our community, clients and creations  Brandtech+, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.  Brandtech+ has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.'", "summaryDescription" : "Measurement Lead at Brandtech+. Skills: Data governance, Performance reporting, Stakeholder management, Data analysis. Support development of reporting frameworks. 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Macro", "company" : "Man Group", "industry" : "Banking", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Quantitative Researcher in London, UK, adjusted for the financial services industry and a large company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T03:20:54.912", "fingerprint" : "ba85dc9218df5216bb9256c3e9d931b95402fb9d10c51323ac42edb4bdbdbbde", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/mangroup/jobs/4724414101", "externalId" : "4724414101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Alpha signal research", "Live trading", "Predictor design", "Portfolio construction", "Risk analysis", "Transaction cost analysis", "Data handling" ], "hardSkillsList" : [ "Quantitative research", "Systematic trading", "Futures trading", "FX trading", "Data analysis" ], "softSkillsList" : [ "Intellectual honesty", "Mentoring", "Analytic approach", "Self-organised", "Interpersonal", "Confident communicator" ], "hardSkills" : [ { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Systematic trading", "level" : "intermediate" }, { "name" : "Futures trading", "level" : "intermediate" }, { "name" : "FX trading", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Intellectual honesty" }, { "name" : "Mentoring" }, { "name" : "Analytic approach" }, { "name" : "Self-organised" }, { "name" : "Interpersonal" }, { "name" : "Confident communicator" } ], "majorSkills" : "Quantitative research, Systematic trading, Futures, FX", "majorSkillsList" : [ "Quantitative research", "Systematic trading", "Futures", "FX" ], "coreResponsibilities" : "Research alpha signals, Live trade alpha signals, Design predictors, Analyze predictors, Construct portfolios, Analyze risk, Mitigate transaction costs, Handle large data sets", "teamCollaboration" : "Quantitative researchers; Technologists; Traders; Senior stakeholders", "domainKnowledge" : "Financial markets; Futures; FX", "domainList" : [ "financial-markets", "futures", "fx" ], "domainSpecificKnowledge" : [ "Financial markets", "Futures", "FX" ], "toolProficiency" : [ "Python scientific stack", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Argue concisely; Deal with conflicting views", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "4+ years research experience, 4+ years live trading experience, Degree with high mathematical content, Degree with high statistical content, Degree with high computing content", "qualificationsPreferred" : "Experience with intraday predictor design, Experience with monthly predictor design, Experience with portfolio construction, Experience with risk analysis, Understanding of transaction costs, Understanding of mitigation strategies, Ability to mentor junior researchers", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com * As at 31 December 2025 About Man AHL: Man AHL employs diversified quantitative techniques to offer a range of strategies which encompass traditional momentum, non-traditional momentum, multi-strategy and sector-based approaches. Man AHL’s strategies are primarily alternative and seek to gain potential predictive, alpha-generating insights through rigorous analysis of large data sets. Man AHL is a specialised engine, applying scientific rigour and advanced technology and execution to a diverse range of data to build systematic investment strategies, trading continuously over hundreds of global markets. The team of 150 investment professionals, including 110 researchers, is comprised of scientists, technologists and finance practitioners, driven by curiosity and intellectual honesty, and a passion for solving the complex problems presented by financial markets. The engine leverages Man Group’s unique collaboration with the University of Oxford, the Oxford-Man Institute of Quantitative Finance (OMI). The OMI conducts field-leading academic research into machine learning and data analytics, which can be applied to quantitative investing. Founded in 1987, Man AHL’s funds under management were $63.8 billion at 31 March 2024. Further information can be found at www.man.com/ahl. The Team: AHL Macro is the team responsible for Macro strategies. The team systematically trades liquid futures and FX at different frequencies, with holding periods ranging from monthly to intraday. Technology and Business Skills: 4+ years of experience researching and live trading alpha signals for futures and FX Experience with intraday > monthly predictor design and analysis Experience with portfolio construction, risk analysis Strong understanding of transaction costs, and mitigation strategies Strong coding skills and experience of handling large data sets. We use Python and its scientific stack for both research and live trading Personal Attributes: Strong academic record and a degree with high mathematical, statistical, and computing content e.g., Mathematics, Computer Science, Engineering, Economics or Physics from a leading university Hands-on attitude; willing to get involved with technology and projects across the firm Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with contending business demands and priorities Strong interpersonal skills; able to build and maintain a close working relationship with quantitative researchers, technologist, traders and senior business stakeholders alike. Ability to mentor junior researchers Confident communicator: able to argue a point concisely and deal positively with conflicting views Working Here: AHL fosters a performance driven, meritocratic culture with a small company, no-attitude feel. It is flat structured, open, transparent, and collaborative, offering ample opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader research and academic community, as well as renowned industry contributors. Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.", "summaryDescription" : "Senior Quantitative Researcher - Macro at Man Group. Skills: Quantitative research, Systematic trading, Futures, FX. Research alpha signals. Live trade alpha signals", "postedDate" : "2026-06-13T21:53:56.911", "createdAt" : "2026-06-13T21:53:56.911", "lastUpdated" : "2026-06-15T03:20:54.912", "ingestTimestamp" : "2026-06-13T21:53:56.911", "mongoId" : "6a2c7c2b74d8ee00a094c83a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Quantitative research", "Systematic trading", "Futures trading", "FX trading", "Data analysis", "Intellectual honesty", "Mentoring", "Analytic approach", "Self-organised", "Interpersonal", "Confident communicator", "Futures", "FX", "Alpha signal research", "Live trading", "Predictor design", "Portfolio construction", "Risk analysis", "Transaction cost analysis", "Data handling", "Financial markets", "Python scientific stack", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 25, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 336.2206, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca0a374d8ee00a09a2cd8", "title" : "Senior Quantitative Risk Strategist", "company" : "Binance. US", "industry" : "Product", "salary" : { "min" : 180000.0, "max" : 280000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Quantitative Risk Strategist in the US FinTech industry, adjusted for seniority and company size." }, "location" : "U.S. ", "locations" : [ "U.S. " ], "timestamp" : "2026-06-15T03:20:23.949", "fingerprint" : "dffe190734707ce386d9658fa79f71f6cb37aca2539a9b2a2158bfe26b2b2531", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/binance.us/2deb43d1-ea00-4cdc-910a-b100b604895f/application", "externalId" : "2deb43d1-ea00-4cdc-910a-b100b604895f", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, MATLAB, SQL, Machine learning", "professionalSkills" : [ "Risk analytics", "Fraud science", "Payments risk", "Risk modeling", "Data analysis", "Decision making" ], "hardSkillsList" : [ "Predictive modeling", "Quantitative analysis", "Statistical methods", "Anomaly detection", "Data analysis", "Risk assessment", "Model validation", "Model governance" ], "hardSkills" : [ { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model governance", "level" : "intermediate" } ], "majorSkills" : "Quantitative risk modeling, Payments risk strategy, Risk decisioning, Fraud prevention", "majorSkillsList" : [ "Quantitative risk modeling", "Payments risk strategy", "Risk decisioning", "Fraud prevention" ], "coreResponsibilities" : "Design predictive risk models, Develop predictive risk models, Deploy predictive risk models, Improve predictive risk models, Build customer-level models, Build transaction-level models, Build portfolio-level models, Develop risk segmentation frameworks, Apply statistical methods, Apply machine learning techniques, Apply anomaly detection, Apply large-scale data analysis, Quantify risk across payment rails, Monitor risk across payment rails, Develop forecasting methodologies, Establish key risk indicators, Establish operational thresholds, Establish portfolio health metrics, Establish executive reporting frameworks, Evaluate impact of new products, Evaluate impact of payment methods, Evaluate impact of customer segments, Evaluate impact of growth initiatives, Embed model-driven decisioning, Design risk rules, Test risk rules, Optimize risk rules, Design risk controls, Test risk controls, Optimize risk controls, Design decision engines, Test decision engines, Optimize decision engines, Design transaction monitoring systems, Test transaction monitoring systems, Optimize transaction monitoring systems, Lead champion/challenger testing, Lead experimentation frameworks, Measure effectiveness of risk controls, Drive continuous improvement, Quantify tradeoffs, Support data-driven decision making, Conduct deep-dive investigations, Identify root causes, Recommend corrective actions, Support model governance, Support model validation, Support model audit, Support regulatory review, Establish model performance monitoring, Establish model calibration, Establish backtesting processes, Serve as trusted advisor", "teamCollaboration" : "Partner with Product; Partner with Engineering; Partner with Risk; Partner with Compliance; Partner with Data; Partner with Operations", "domainKnowledge" : "Financial services; Fintech; Cryptocurrency; Payments risk; Fraud; ACH; Card payments; Transaction risk; Predictive modeling; Risk analytics; Financial crime risk", "domainList" : [ "financial-services", "fintech", "cryptocurrency", "payments-risk", "fraud", "ach", "card-payments", "transaction-risk", "predictive-modeling", "risk-analytics", "financial-crime-risk" ], "domainSpecificKnowledge" : [ "Financial services", "Fintech", "Cryptocurrency", "Payments risk", "Fraud", "ACH", "Card payments", "Transaction risk", "Predictive modeling", "Risk analytics", "Financial crime risk" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "documentationSkills" : "Comprehensive documentation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "8+ years quantitative risk analytics, 8+ years fraud science, 8+ years payments risk, 8+ years machine learning, 8+ years data science, 8+ years risk modeling", "qualificationsPreferred" : "Advanced degree in Statistics, Advanced degree in Mathematics, Advanced degree in Economics, Advanced degree in Finance, Advanced degree in Computer Science, Advanced degree in Physics, Advanced degree in Operations Research, Advanced degree in Data Science", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Binance.US: Binance.US is America’s home to buy, trade, and earn digital assets. As a licensed and regulated U.S. crypto platform, we provide secure, reliable access to more than 190 of the world’s most popular cryptocurrencies, all with some of the lowest fees in the industry. We’re a remote-first team of innovators building the bridge between traditional finance and Web3, helping bring financial freedom within reach for all. To learn more, visit www.binance.us http://www.binance.us. All roles supporting Binance.US http://Binance.US are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc. About This Role: The Senior Quantitative Risk Strategist is part of the Product organization and serves as a senior individual contributor responsible for designing, developing, validating, and optimizing quantitative risk models and analytical frameworks that protect Binance.US http://Binance.US customers, payment systems, and operations from fraud, financial crimes, account compromise, and payment-related losses. This role will act as the quantitative lead for payments risk, partnering closely with Product, Risk, Compliance, Engineering, Data, and Operations teams to develop scalable, data-driven risk solutions across customer onboarding, account funding, trading, and withdrawal experiences. The ideal candidate combines deep expertise in predictive modeling and risk analytics with practical experience managing fraud, ACH, card, and transaction risk within highly regulated financial services, fintech, or cryptocurrency environments. Success in this role requires balancing customer growth, conversion, and user experience with loss prevention, regulatory obligations, and operational efficiency. Core Responsibilities: Quantitative Risk Modeling & Analytics - Design, develop, deploy, and continuously improve predictive risk models, scoring methodologies, and decision frameworks across ACH deposits, wire transfers, debit card funding, withdrawals, account security, fraud, and cryptocurrency-related risk domains. - Build customer-level, transaction-level, and portfolio-level models that predict fraud losses, payment returns, chargebacks, account compromise, and emerging risk events. - Develop risk segmentation frameworks that dynamically assess customer behavior throughout the customer lifecycle, including onboarding, funding, trading activity, and withdrawals. - Apply advanced statistical methods, machine learning techniques, anomaly detection, and large-scale data analysis to identify evolving fraud patterns, abuse vectors, and operational vulnerabilities. Payments Risk Strategy - Quantify and monitor risk across payment rails, including ACH, wire, card, and other funding methods. - Develop forecasting methodologies for payment losses, ACH return rates, chargebacks, fraud exposure, and emerging risk trends. - Establish key risk indicators (KRIs), operational thresholds, portfolio health metrics, and executive reporting frameworks. - Evaluate the impact of new products, payment methods, customer segments, and growth initiatives through rigorous quantitative risk assessment. Risk Decisioning & Optimization - Partner with Product and Engineering teams to embed model-driven decisioning throughout the customer journey. - Design, test, and optimize risk rules, controls, decision engines, and transaction monitoring systems to maximize fraud prevention while minimizing customer friction. - Lead champion/challenger testing and experimentation frameworks to measure the effectiveness of risk controls and drive continuous improvement. - Quantify tradeoffs between fraud loss, customer conversion, operational efficiency, and business growth to support data-driven decision making. Investigations & Risk Governance - Conduct deep-dive investigations into material fraud events, payment losses, suspicious activity, and operational incidents, identifying root causes and recommending corrective actions. - Support model governance, validation, audit, and regulatory review activities through comprehensive documentation, monitoring, and control frameworks. - Establish model performance monitoring, calibration, and backtesting processes to ensure ongoing effectiveness and compliance. - Serve as a trusted advisor to senior leadership on payments risk, fraud analytics, financial crime risk, and cryptocurrency-related risk trends. Preferred Skills/Experience: - 8+ years of experience in quantitative risk analytics, fraud science, payments risk, machine learning, data science, or risk modeling within fintech, financial services, payments, banking, or cryptocurrency organizations. - Advanced degree in Statistics, Mathematics, Economics, Finance, Computer Science, Physics, Operations Research, Data Science, or a related quantitative discipline. Equivalent industry experience building and deploying production risk models will be strongly considered. - Advanced proficiency in SQL and strong experience with Python, Spark, R, or comparable analytical and modeling technologies. - Demonstrated success designing, deploying, validating, and monitoring predictive risk models in production environments. - Deep understanding of ACH payments, return codes, chargebacks, account takeover risk, first-party fraud, synthetic identity fraud, mule activity, payment abuse, and transaction risk management. - Experience developing portfolio-level forecasting models for fraud losses, payment returns, chargebacks, or credit-related risk outcomes. - Strong knowledge of AML regulations, sanctions compliance, KYC/KYB requirements, and financial crime risk management. - Experience supporting model governance programs, audit reviews, regulatory examinations, and independent model validation activities. - Familiarity with blockchain analytics platforms, cryptocurrency transaction monitoring solutions, and digital asset risk indicators. - Strong communication skills with the ability to translate complex quantitative findings into actionable business recommendations for both technical and executive audiences. Our Mission: At Binance.US http://Binance.US, our mission is to create a more inclusive financial system through Web3 technologies. As a U.S. regulated crypto platform, we’re committed to earning trust through compliance and empowering people to do more with their money, bringing financial freedom within reach for all. Our Values: Our values shape how we work, make decisions, and support our users every day: - Act with Integrity: We do what’s right, even when no one is watching. - Be Collaborative: We work together with respect and transparency to achieve shared goals. - Customers First: We listen to, advocate for, and prioritize our users in every decision we make. - Do the Work: We take ownership, follow through, and deliver results that move the mission forward. - Embrace Change: We stay adaptable and curious, thriving in a fast moving industry. Our Benefits: We believe in supporting our people with flexibility, balance, and opportunities to grow. One of the ways we demonstrate this commitment is through our benefit offerings. - Time & Family: Unlimited PTO (for salaried FTE roles); 12 weeks fully paid Parental Bonding Leave. - Well-Being: Mental wellness benefits; free 1:1 virtual visits with a licensed mental wellness professional; comprehensive competitive health benefits. - Remote-First Culture: Fully remote, cameras-on culture with work-from-home equipment reimbursements available to new hires. - Professional & Financial Growth: Annual professional development budget; free 1:1 virtual visits with a career coach; 401k plan with employer match. BAM Management US Holdings Inc. and BAM Management Canada Holdings Inc. are Equal Opportunity Employers and comply with all applicable federal, state, and local fair employment practice laws. Our mission is to give our customers access to a broad array of digital assets, and we thrive because of the diverse and inclusive team that we are building. We do not discriminate against qualified employees, applicants, or any other covered persons because of race, color, religion, creed, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, veteran status, physical disability, mental disability, medical condition, military status, or any other applicable legally protected characteristic. Depending on your location, data privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here https://www.binance.us/privacy-policy#employee-applicants-privacy-notice. By submitting your application, you are agreeing to our use and processing of your data as required. We comply with Federal Transparency in Coverage regulations by providing a link to machine readable files related to the health plans offered to our employees. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data including negotiated service rates, and out-of-network allowed amounts between health plans and healthcare providers.", "summaryDescription" : "Senior Quantitative Risk Strategist at Binance. US. Skills: Quantitative risk modeling, Payments risk strategy, Risk decisioning, Fraud prevention. Design predictive risk models. Develop predictive risk models", "createdAt" : "2026-06-13T21:29:56.504", "lastUpdated" : "2026-06-15T03:20:23.949", "ingestTimestamp" : "2026-06-13T21:29:56.504", "mongoId" : "6a2ca0a374d8ee00a09a2cd8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 280000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Predictive modeling", "Quantitative analysis", "Statistical methods", "Anomaly detection", "Data analysis", "Risk assessment", "Model validation", "Model governance", "Quantitative risk modeling", "Payments risk strategy", "Risk decisioning", "Fraud prevention", "Risk analytics", "Fraud science", "Payments risk", "Risk modeling", "Decision making", "Financial services", "Fintech", "Cryptocurrency", "Fraud", "ACH", "Card payments", "Transaction risk", "Financial crime risk", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 28, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 333.74786, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30735ff292fd229c001a84", "title" : "Director of Finance", "company" : "KIPP", "industry" : "Education Management", "salary" : { "min" : 94500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Indianapolis, IN, United States", "locations" : [ "Indianapolis", "IN", "United States" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-16T11:52:57.399", "fingerprint" : "8580110a8612ea9db4463a90b2afe5c22a6106bcd7ed9e9a02f1b12f1dfc7b38", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/KIPP/744000132210021-director-of-finance-", "externalId" : "744000132210021", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Indianapolis", "state" : "Indiana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7683331,-86.1583502" } ], "locationText" : "Indianapolis, Indiana, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "director", "technicalSkills" : "Python, R, MATLAB, SQL, Bloomberg Terminal, Reuters Eikon, FactSet, Murex, Calypso", "professionalSkills" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills" ], "hardSkillsList" : [ "Financial modeling", "Risk management", "Data analysis" ], "hardSkills" : [ { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Risk management", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Financial analysis, Risk assessment, Quantitative analysis", "majorSkillsList" : [ "Financial analysis", "Risk assessment", "Quantitative analysis" ], "coreResponsibilities" : "Analyze financial data, Develop risk models, Ensure regulatory compliance, Manage financial reporting, Support investment decisions, Monitor market trends, Prepare financial forecasts", "teamCollaboration" : "Cross-functional teams; Senior management", "domainKnowledge" : "Financial instruments; Regulatory frameworks; Risk methodologies; Quantitative skills; SOX; Basel III/IV; MiFID II; Dodd-Frank; FINRA; SEC; FCA; GDPR; AML/KYC; Equities; Fixed income; Derivatives; Options; Futures; Swaps; FX; Structured products; Private credit; VaR; CVaR; Stress testing; Monte Carlo; Factor models; Credit scoring", "domainList" : [ "financial-instruments", "regulatory-frameworks", "risk-methodologies", "quantitative-skills", "sox", "basel-iii-iv", "mifid-ii", "dodd-frank", "finra", "sec", "fca", "gdpr", "aml-kyc", "equities", "fixed-income", "derivatives", "options", "futures", "swaps", "fx", "structured-products", "private-credit", "var", "cvar", "stress-testing", "monte-carlo", "factor-models", "credit-scoring" ], "domainSpecificKnowledge" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "communicationSkills" : "Executive presentations; Financial reporting", "documentationSkills" : "Regulatory filings; Financial reports", "problemSolvingSkills" : "Analytical skills; Quantitative analysis", "remoteFriendly" : false, "rawDescription" : "KIPP — the largest nonprofit network of college-preparatory, public charter schools in the nation—has demonstrated, at scale, that all children have the potential to excel academically regardless of race or zip code. KIPP Public Schools is a network of 279 schools with more than 16,000 educators and 210,000 students and alumni, including Indianapolis. KIPP Indy Public Schools (KIPP Indy) was founded in 2004 with one class of fifth-grade students and has grown to serve 1,500 students across three schools. Of the students that attend KIPP Indy, 93% qualify for free and reduced lunch, 95% are African American or LatinX, 12% receive special education services, and 8% are designated as Emerging Bilinguals. As we continue to grow, our mission remains the same: to create joyful, academically excellent schools in which teachers, students, and families are all united around the same goal of preparing students with the skills and confidence to pursue the paths they choose —college, career, and beyond— so they can lead fulfilling lives and create a more just world. POSITION OVERVIEW KIPP Indy Public Schools seeks a strategic, detail-oriented, and mission-driven Director of Finance to oversee the financial strategy of the organization and ensure its long-term financial health. This leader will manage annual budget planning, financial forecasting, grants oversight, compliance, and internal controls across the network. Reporting to executive leadership, this role serves as a key financial partner to the leadership team and Board Finance Committee, ensuring strong financial management in support of KIPP Indy’s mission and long-term sustainability. RESPONSIBILITIES Annual Budget Planning, Forecasting, & Financial Strategy * Lead the annual budget planning process, providing strategic guidance and ongoing support to stakeholders to ensure timely completion of all deliverables. * Lead strategic financial planning through financial modeling, scenario analysis, and multi-year projections aligned to enrollment, staffing, grants, strategic initiatives, and relevant legislative and policy changes. * Steward the relationship with KIPP Indy’s external accounting partner to ensure seamless financial operations, timely and accurate deliverables, and alignment between accounting functions and strategic priorities. * Maintain and continuously improve financial policies, procedures, and internal controls to safeguard organizational assets. * Manage banking relationships and monitor cash flow in collaboration with external accounting partner to ensure operational stability. * Monitor budget-to-actual performance across the region and provide variance analysis with clear recommendations for action * Lead the organization's resource-securing strategy, identifying and pursuing new revenue opportunities that align with strategic goals * Serve as the regional team budget manager, monitoring monthly budget reports to hit annual targets. * Lead quarterly budget meetings with regional leaders and school team budget managers to monitor discretionary budget-to-actuals, support annual planning, and provide feedback on day-to-day financial operations. * Collaborate with HR and ED on employee benefits and compensation strategy. * Review and approve weekly accounts payable report and voucher lists to ensure accuracy and compliance with internal controls. * Collaborate with Talent/HR leadership to support bi-weekly payroll processing. Grants Management & Compliance * Oversee financial management, spenddown, and reporting of federal, state, and philanthropic grants in collaboration with external accounting partner and internal stakeholders, ensuring compliance with approved budgets, funding requirements, and reporting obligations. * Develop budgets for all secured grants, partnering with key stakeholders to ensure alignment between programmatic priorities and available funding. * Manage the full grant lifecycle for all federal, state, and public grants, from applications through final reporting. * Review and approve all grant claims prepared by external accounting partner. * Monitor restricted funds to ensure expenditures align with donor and grantor intent. * Coordinate and support the annual external audit process in strong collaboration with external accounting partner, including preparation of documentation and auditor communication. * Ensure compliance with applicable federal, state, local nonprofit, and authorizer financial reporting requirements, maintaining documentation and controls to support audits and monitoring visits. * Collaborate with regional operations team on compliance and reporting requirements. Strategic Leadership & Stakeholder Partnership * Serve as a financial thought partner to executive leadership on staffing models, enrollment planning, compensation structures, and long-term sustainability. * Serve on the Board Finance Committee, collaborating with senior leadership and the external accounting partner to prepare board materials and financial reports. * Translate complex financial data into clear, concise information for non-financial stakeholders. * Build and maintain strong relationships with auditors, banks, grantors, charter authorizer, Indiana Department of Education, KIPP Foundation, and various other external partners. COMPETENCIES * Financial Judgment & Sound Decision-Making: Uses data, experience, and professional standards to make thoughtful financial recommendations. * Clear & Effective Communication: Translates complex financial information into clear, practical guidance for non-financial stakeholders. * Detail Orientation & Accuracy: Maintains high standards of precision and reliability in financial reporting and compliance. * Accountability & Professional Integrity: Operates with transparency, discretion, and strong ethical standards. * Relationship-Building: Develops trust-based partnerships across schools, leadership teams, and external stakeholders. * Adaptability & Initiative: Navigates changing priorities in a dynamic school environment with proactive problem-solving. ## Qualifications Required: * 5–7+ years of accounting or finance experience * Strong knowledge of nonprofit accounting, particularly charter school finances * Demonstrated experience with budgeting, forecasting, and financial analysis * Experience leading or supporting annual audits * Proficiency in accounting systems and advanced Excel skills * Experience securing and managing grants * Strong analytical skills with high attention to detail * Effective communication skills with the ability to present financial information to non-financial stakeholders * Commitment to the mission of KIPP Indy Preferred: * Bachelor’s degree in Accounting, Finance, or related field * CPA or MBA * Experience in charter schools, public education finance, or nonprofit K–12 organizations * Familiarity with Indiana Department of Education reporting requirements * Experience supervising finance staff ## Additional Information The starting salary for this role is $94,500. Salary is commensurate with experience and includes a highly competitive benefits package. Opportunities for performance-based bonuses are also available. KIPP Indy Public Schools is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, gender identity, or any other characteristic protected by applicable law.", "summaryDescription" : "Director of Finance at KIPP. Skills: Financial analysis, Risk assessment, Quantitative analysis. Analyze financial data. Develop risk models", "postedDate" : "2026-06-15T14:03:15.000", "createdAt" : "2026-06-16T01:39:54.761", "lastUpdated" : "2026-06-16T11:52:57.399", "ingestTimestamp" : "2026-06-16T01:39:54.761", "mongoId" : "6a30735ff292fd229c001a84", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 94500, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Financial modeling", "Risk management", "Data analysis", "Financial analysis", "Risk assessment", "Quantitative analysis", "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA", "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "skillCount" : 49, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 332.36807, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf3f072beec4dd3d93421e", "title" : "Quantitative UX Researcher", "company" : "Amazon Web Services, Inc.", "industry" : "Design, Cloud Computing", "salary" : { "min" : 130000.0, "max" : 176000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T04:25:29.969", "fingerprint" : "706e33469aeed1131c6161b0d169bd291f6fd5011c7161ad08e35ac25b2730c5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381814/apply", "externalId" : "82c04ed8-855f-4683-87ae-79147868057f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, R, AI, ML", "professionalSkills" : [ "Behavioral analysis", "Causal inference", "Product direction", "Product decisions", "Product performance", "Customer needs", "Customer value", "AI-powered experiences" ], "hardSkillsList" : [ "Experimentation", "Analytics", "Quantitative research", "Mixed-methods research", "Study design", "Hypothesis definition", "Success metrics", "Data analysis", "Statistical analysis" ], "hardSkills" : [ { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Analytics", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Mixed-methods research", "level" : "intermediate" }, { "name" : "Study design", "level" : "intermediate" }, { "name" : "Hypothesis definition", "level" : "intermediate" }, { "name" : "Success metrics", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "majorSkills" : "Quantitative UX Research, Applied AI, Experimentation, Causal inference", "majorSkillsList" : [ "Quantitative UX Research", "Applied AI", "Experimentation", "Causal inference" ], "coreResponsibilities" : "Lead quantitative research, Turn product questions into hypotheses, Define success metrics, Design studies, Generate actionable insights, Evaluate new ideas, Improve existing experiences, Make product decisions, Lead quantitative research for AI products, Own studies end to end, Frame research questions, Define hypotheses, Select research methods, Identify measures, Analyze results, Communicate recommendations, Design experiments, Run experiments, Design surveys, Run surveys, Conduct behavioral analyses, Define success metrics for AI experiences, Track success metrics, Combine findings across research, Combine findings with product usage, Combine findings with customer feedback, Generate clear insights, Generate practical product recommendations, Partner with product, Partner with design, Partner with engineering, Support build test learn approach, Inform decisions throughout product lifecycle", "teamCollaboration" : "Product teams; Design teams; Engineering teams", "domainKnowledge" : "AI-native applications; AI-powered experiences; AI innovation", "domainList" : [ "ai-native-applications", "ai-powered-experiences", "ai-innovation" ], "domainSpecificKnowledge" : [ "AI-native applications", "AI-powered experiences", "AI innovation" ], "problemSolvingSkills" : "Data-driven decision making", "qualificationsBasic" : "3+ years User Research, Master's degree in quantitative field, Experience with data analytics, Experience with AI/ML technologies, Knowledge of quantitative data analysis, Experience with Python or R", "qualificationsPreferred" : "Experience communicating research findings, Experience developing V1 products, Experience building scalable programs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking a Quantitative UX Researcher who is excited to help shape the future of AI-native business applications. This is an opportunity to influence product direction by helping teams understand how customers interact with AI-powered experiences and what drives adoption, trust, usability, and customer value. In this role, you will lead quantitative research that helps teams build, test, and learn faster. You will turn product questions into clear hypotheses, success metrics, well-designed studies, and actionable insights. Your work will help teams evaluate new ideas, improve existing experiences, and make better product decisions. This is a quant-first role with mixed-methods responsibilities as needed. We are looking for a researcher with strong skills in experimentation, analytics, behavioral analysis, and causal inference. You should be comfortable working in ambiguous, early-stage spaces and helping teams define how success should be measured for new AI-powered products. You will identify meaningful behavioral and attitudinal signals, measure product performance, and recommend improvements based on the evidence. Key job responsibilities - Lead quantitative and mixed-methods research for AI-powered products, including early-stage concepts and evolving customer experiences. - Own studies from end to end, including framing research questions, defining hypotheses, selecting methods, identifying measures, analyzing results, and communicating recommendations. - Design and run experiments, surveys, and behavioral analyses that help teams understand customer needs, product performance, and opportunities for improvement. - Define and track success metrics related to adoption, trust, usability, comprehension, and customer value in AI-powered experiences. - Combine findings across research, product usage, and customer feedback to generate clear insights and practical product recommendations. - Partner closely with product, design, and engineering to support a build, test, learn approach, where evidence informs decisions throughout the product lifecycle. About the team AWS Applied AI Solutions is an organization with ambitions to be a leading provider of business applications, leveraging Amazon's unique experience and expertise, used by millions of companies worldwide to manage day-to-day operations. Our mission is to accelerate our customers' businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. The AWS Applied AI Solutions team is at the forefront of AI innovation, designing and building the next generation of intelligent business applications. We work closely with global Product, Engineering, Science, Marketing, and Business Development teams to deliver compelling AI-powered experiences that transform how businesses operate. Our research team plays a critical role in ensuring these AI solutions are not just technically advanced, but truly meet customer needs and drive meaningful customer outcomes. Basic Qualifications: - 3+ years of proven success leading User Research projects with demonstrated impact experience - Experience (end to end) with all aspects of research (study design, recruiting, moderation, analysis, reporting) - Have a portfolio demonstrating past work experience and deliverables (e.g., study plans, reports, personas) - Master's degree in a quantitative field - Experience working with data and leveraging analytics to make decisions - Experience with AI/ML technologies - Knowledge of quantitative data analysis and statistics - Experience with Python or R Preferred Qualifications: - Experience communicating research findings and analysis in both written and spoken channels - Experience developing and launching V1 products - Experience building scalable programs and repeatable scalable processes, levering various tools and methods to create scale and efficiency Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 143,100.00 - 193,600.00 USD annually USA, WA, Seattle - 130,100.00 - 176,000.00 USD annually", "summaryDescription" : "Quantitative UX Researcher at Amazon Web Services, Inc.. Skills: Quantitative UX Research, Applied AI, Experimentation, Causal inference. Lead quantitative research. Turn product questions into hypotheses", "postedDate" : "2026-06-13T04:47:53.913", "createdAt" : "2026-06-13T04:47:53.913", "lastUpdated" : "2026-06-15T04:25:29.969", "ingestTimestamp" : "2026-06-13T04:47:53.913", "mongoId" : "69cf3f072beec4dd3d93421e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381814/apply", "salaryAnnualMin" : 130000, "salaryAnnualMax" : 176000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Experimentation", "Analytics", "Quantitative research", "Mixed-methods research", "Study design", "Hypothesis definition", "Success metrics", "Data analysis", "Statistical analysis", "Quantitative UX Research", "Applied AI", "Causal inference", "Behavioral analysis", "Product direction", "Product decisions", "Product performance", "Customer needs", "Customer value", "AI-powered experiences", "AI-native applications", "AI innovation" ], "skillCount" : 21, "jobCategory" : "design", "dataQualityScore" : 0.8888889, "_score" : 332.04565, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69dde45c2beec4dd3d9a3f9e", "title" : "Postdoctoral Fellow - Computational and Quantitative Medicine", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Postdoctoral Fellow in the Biotech industry in Monrovia, California, adjusted for entry-level seniority." }, "location" : "United States-California-Monrovia", "locations" : [ "United States-California-Monrovia", "Post-doctoral Research", "Onsite, Days, Days" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:17:43.745", "fingerprint" : "5e58bc0dc6aa312fdbc404e13e9157060ab95138ff31668d6bed755cf363f48b", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=210304", "externalId" : "210304", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Monrovia", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1483499,-118.0014517" } ], "locationText" : "Monrovia, California, United States", "minimumEducation" : "PhD", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data science" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "PhD required, 5+ years experience, SQL proficiency required", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certifications", "remoteFriendly" : false, "rawDescription" : "Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Postdoctoral Research Fellow position is open under Dr. Nagarajan Vaidehi within the department of Computational and Quantitative Medicine. This project involves the development and application of interpretable machine learning methods to uncover allosteric regulation of disordered regions in the dynamics of G-protein coupled receptors to enable design of allosteric modulators. You will work on developing design principles of targeted protein degradation in collaboration with Pharma. For more information on Dr. Vaidehi’s lab please visit here . Your qualifications should include: · PhD or M.D. in Chemistry, Physics or Biochemistry with experience in protein dynamics studies. · Knowledgeable about concepts in statistical thermodynamics, in python scripting and C++ programming. · Familiarity with Molecular Dynamics methods and experience in code development is preferred. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Monrovia", "summaryDescription" : "Postdoctoral Fellow - Computational and Quantitative Medicine at City of Hope. Skills: Data science, Data engineering, Machine learning, Business intelligence", "createdAt" : "2026-06-14T19:54:56.791", "lastUpdated" : "2026-06-16T08:17:43.745", "ingestTimestamp" : "2026-06-14T19:54:56.791", "mongoId" : "69dde45c2beec4dd3d9a3f9e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Quantitative analysis", "Analytics engineering", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 325.2654, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c2274d8ee00a094c660", "title" : "Quantitative Equity Technology, Infrastructure Software Engineer", "company" : "Connor, Clark & Lunn Investment Management", "salary" : { "min" : 125000.0, "max" : 200000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "timestamp" : "2026-06-16T02:01:48.829", "fingerprint" : "822764ec685d5e01e0c738512d22c7cdf06048bdc43d7322cdae24d9c7c6acaf", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cclim/jobs/4223826009", "externalId" : "4223826009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "rawDescription" : "We deliver foundational systems that shape the future of how technology is used in a top performing quantitative equity fund that manages over $75 billion in financial assets. This is a fantastic opportunity in the exciting intersection of finance and technology where investment decisions are made using technology. Quantitative equity funds use programmed investment strategies and as a result, our technology team is crucial to its success. The team is headquartered and deeply rooted in West Coast Vancouver. We place high value on maintaining an entrepreneurial spirit and creating a culture where each of us has opportunities to succeed. What You Will Do The technology infrastructure team plays an essential role through innovative technologies on our hybrid (on-premise and cloud based) platform: distributed computing, petabyte-scale data storage, containerization, non-traditional high-performance databases, process orchestration, monitoring, data visualization and DevOps. You own the entire technology infrastructure life cycle: Engineer and support software and systems infrastructure. Introduce new foundational technologies that advance our software engineering capabilities to the next level. Collaborate with our software development teams on support issues and improvements to our infrastructure tools, processes, and software. Act as a conduit between our application development teams, and IT, network security, and other stakeholders to align priorities and translate business requirements into technical designs. Improve systems infrastructure reliability. Gather and analyze metrics from operating systems and applications to assist in performance tuning, fault finding and business continuity planning. Design, plan and implement solutions in an entrepreneurial spirit. What You Bring Programming Knowledge – you have an undergraduate, graduate, or post-graduate degree in a computer-related field OR exceptional programming skills gained through your work experience. We use several programming languages (Kdb+/Q, Python, Java, C#, Angular/Typescript). Passion for Technology – we work on low-level foundational systems and software. Knowledge about cloud computing (AWS), systems engineering, distributed systems, scripting, operating systems (specifically Windows and Linux), databases, and host-based networking, is useful in this role. Upfront knowledge is preferred but not required; if you are passionate about technology, learning new concepts is natural and fun. Collaborative Communication – we work together with many different teams and stakeholders. You have a collaborative spirit that helps you to work well with others and communicate effectively. Project Ownership Mindset – we own different technology stacks and are often responsible for exploring new technology to modernize existing systems. Our team needs to take initiative and proactively drive the execution of systems projects that we own. You enjoy taking on responsibility and owning decisions made. Organizational skills are helpful to ensure projects are well managed. Troubleshooting and Problem Resolution - you think laterally to dissect a problem into its component parts and diagnose root causes. You use different troubleshooting techniques to identify problems across different technologies. Growth Mindset – technology and investment requirements are constantly changing. You are a lifelong learner who continually invests in personal development. We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The base salary range for full-time roles is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter, and academic transcripts. #LI-HYBRID #LI-RC1 CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Quantitative Equity Technology, Infrastructure Software Engineer at Connor, Clark & Lunn Investment Management", "postedDate" : "2026-06-14T21:29:57.826", "createdAt" : "2026-06-14T21:29:57.826", "lastUpdated" : "2026-06-16T02:01:48.829", "ingestTimestamp" : "2026-06-14T21:29:57.826", "mongoId" : "6a2c7c2274d8ee00a094c660", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 320.53403, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca83474d8ee00a09c2624", "title" : "National Account Director - Immunology and Gene Therapy - Remote", "company" : "EVERSANA", "industry" : "Pharmaceuticals", "salary" : { "min" : 1.2E7, "max" : 1.8E7, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of National Accounts in the Healthcare industry, adjusted for seniority and remote work in the US." }, "location" : "Chicago, IL, United States", "locations" : [ "Chicago", "IL", "United States" ], "timestamp" : "2026-06-15T04:55:40.790", "fingerprint" : "cdc4883fb7558dc5597c764bd9ce9839b1075327c5fcbb90dd4bbadf21c135a4", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/EVERSANA1/744000131947210-national-account-director-immunology-and-gene-therapy-remote", "externalId" : "744000131947210", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Sales processes", "Client relationships", "Revenue generation", "Deal closure", "Commercialization services", "Strategic account planning", "Value-based healthcare", "Market analysis", "Customer profiling", "Stakeholder engagement" ], "hardSkillsList" : [ "Sales strategy", "Account management", "Forecasting", "Budget management" ], "hardSkills" : [ { "name" : "Sales strategy", "level" : "intermediate" }, { "name" : "Account management", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" } ], "majorSkills" : "Gene therapy sales, Account management, Market access", "majorSkillsList" : [ "Gene therapy sales", "Account management", "Market access" ], "coreResponsibilities" : "Implement strategic engagement approach, Assure product coverage and access, Identify opportunities and evolving trends, Create mutually beneficial collaborations, Increase patient access to care, Improve quality of care, Meet defined objectives, Interact with targeted accounts, Interact with KOLs, Interact with Providers, Interact with Administrators, Understand and educate key decision makers, Collaborate with key decision makers, Drive product understanding, Drive product utilization, Interact routinely and collaboratively, Achieve maximum results, Elevate engagement level, Develop strategic engagement opportunities, Provide proactive communication, Gather insights from aligned Centers, Serve as rapid conduit of information, Align disease state activities", "teamCollaboration" : "Cross-functional teams; Client stakeholders; Internal leadership; Commercial Leadership; Client's organization", "projectManagementSkills" : [ "Strategic Account Plans" ], "domainKnowledge" : "Immunology; Gene therapy; Recurrent respiratory papillomatosis; Payer account plan; Value-based healthcare; Clinical practice; Disease state", "domainList" : [ "immunology", "gene-therapy", "recurrent-respiratory-papillomatosis", "payer-account-plan", "value-based-healthcare", "clinical-practice", "disease-state" ], "domainSpecificKnowledge" : [ "Immunology", "Gene therapy", "Recurrent respiratory papillomatosis", "Payer account plan", "Value-based healthcare", "Clinical practice", "Disease state" ], "communicationSkills" : "Proactive communication", "continuousLearning" : "Employee development programs; Excellent training", "specialRequirements" : "Remote field-based position", "outcomesObjectives" : "Meet or exceed objectives; Meet expense plan goals", "qualificationsBasic" : "Strategic engagement approach, Product coverage and access, Identify opportunities and trends, Meet defined objectives, Interact with KOLs, Understand and educate decision makers, Drive product understanding and utilization, Interact with multiple departments", "qualificationsPreferred" : "Live in proximity to large airport hub", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At EVERSANA, we are proud to be a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 6,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA. *This is a Remote field-based position. Candidates from alternative cities are encouraged to apply but should live in close proximity to a large airport hub. The National Account Director (NAD) is responsible for implementing a strategic engagement approach at defined accounts within the territory to assure product coverage and access for a first-in-class gene therapy for the treatment of recurrent respiratory papillomatosis (RRP). He/she will identify opportunities and evolving trends that create mutually beneficial collaborations, where patient access to care increases, ultimately improving the quality of care. The NAD is responsible for meeting defined objectives, interactions with targeted accounts, KOLs, Providers, and Administrators in order to understand, educate, and collaborate with key decision makers to drive product understanding and utilization. The NAD is expected to interact routinely and collaboratively with multiple departments and key stakeholders within EVERSANA and our client's organization. EVERSANA Deployment Solutions offers our employees competitive compensation, paid time off, company paid holidays, excellent training, employee development programs, 401K plan with an employer match, and an incredible list of comprehensive employer benefits that includes medical, dental, and vision insurance along with a whole host of other valuable programs. ESSENTIAL DUTIES AND RESPONSIBILITIES: Our employees are tasked with delivering excellent business results through the efforts of their teams. Duties may include, but are not limited to the following: * Meet or exceed all defined objectives and expense plan goals and objectives, by developing and implementing strategies specific to the assigned account(s) * Co-Leads the development and execution of the Strategic Account Plans with Commercial Leadership * Responsible for pull through the payer account plan with Commercial Leadership through routine calls and meetings * Responsible for the deployment of value-based healthcare commercial resources that challenge account thinking, elevate care and increase utilization of comprehensive care measures in clinical practice leading to improved outcomes of patients with recurrent respiratory papillomatosis (RRP) * Participate/Co-Lead routine cross functional market meetings focusing on account/customer profiling, performance engagement and accountability * Ad Boards & Congresses KOL Engagement * Customer targets include, but not limited to, PBMs, National Health Plans, Medicare MACs, Regional Health Plans, IDNs, Key Customer C-Suite, Directors, Dept. Heads, Administrations, Finance, Pharmacy, Billing, etc. * Understands role of cross-functional partners and works collaboratively with each function to achieve maximum results * Demonstrates peer leadership with local field teams, cross-functional partners and internal leadership * Responsible for elevating the level of engagement between all Client stakeholders at targeted accounts * Accountable for the development of Strategic engagement opportunities with KOLs within assigned customers * Provides proactive communication to customer stakeholders (internal and external) * Gathers insights from aligned Centers and serves as a rapid conduit of information back Commercial Leadership and the broader organization * Aligns disease state /therapeutic activities to the most current sales and marketing direction * Conducts Quarterly Business Reviews * Proficiency with sales support technology – example Salesforce/Veeva * Strong problem solving and analytical skills * Demonstrates strong emotional intelligence, strategic focus, ability to build and leverage networks, healthcare business acumen, establish and maintain connections, knowledge of healthcare and managed care policies, knowledge of reimbursement process, and a good understanding of both the Client’s product(s) as well as the competition, strategic customer focus, planning ,execution, able to effectively leverage data and information to prioritize business opportunities, balancing stakeholders, business development, impact & influence, decision making, identifying and understanding problems, problem-solving, and thorough understanding of the customer’s business environment, able to understand the needs and perspectives of key decision makers. ## Qualifications MINIMUM KNOWLEDGE, SKILLS AND ABILITIES: The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required. * Bachelor’s Degree from an accredited college/university required * Minimum 10+ years of pharmaceutical/biotech experience * 5+ years of current/prior pharmaceutical payer account management and hospital sales experience * Experience navigating complex accounts critical for success * Technical knowledge of health care reimbursement from a patient and provider perspective * Rare Disease, oncology (and/or immunology) with working knowledge of Gene Therapy * Cell and Gene Therapy experience strongly preferred * Experience with Buy and Bill drug reimbursement dynamics with payers and Medicare MACs * Product launch experience, preferably at small to mid-size companies * Exceptional interpersonal and communication skills to form strong, trusting partnerships to drive performance * Highly adept in both verbal & written communication; applies advanced presentation skills for the delivery of corporate approved materials * Advanced business analytical skills to identify trends, opportunities, and threats * Ability to identify issues quickly and develop recommendations to resolve in a timely, compliant manner * Knowledgeable in current and possible future policies, practices, trends, technology, and information affecting his/her business and organization * Ability to clearly and concisely articulate scientific and clinical aspects of disease education & management, mechanism of action (MOA), treatment prescribing information, etc. * Expert collaboration with cross-functional partners, including marketing, training, operations, medical, etc. * Familiar with legal and regulatory environment; capable of managing others to operate compliantly * Comfortable spending ~60% of time traveling; overnight travel required * Possess valid driver’s license and acceptable driving record ## Additional Information OUR CULTURAL BELIEFS Patient Minded I act with the patient’s best interest in mind. Client Delight I own every client experience and its impact on results. Take Action I am empowered and hold myself accountable. Embrace Diversity I create an environment of awareness and respect. Grow Talent I own my development and invest in the development of others. Win Together I passionately connect with anyone, anywhere, anytime to achieve results. Communication Matters I speak up to create transparent, thoughtful, and timely dialogue. Always Innovate I am bold and creative in everything I do. Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA. EVERSANA is committed to providing competitive salaries and benefits for all employees. If this job posting includes a base salary range, it represents the low and high end of the salary range for this position and is not applicable to locations outside of the U.S. Compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). More information about EVERSANA’s benefits package can be found at [eversana.com/careers](https://www.eversana.com/careers/). EVERSANA reserves the right to modify this base salary range and benefits at any time. From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility. Consistent with the Americans with Disabilities Act (ADA) and applicable state and local laws, it is the policy of EVERSANA to provide reasonable accommodation when requested by a qualified applicant or candidate with a disability, unless such accommodation would cause an undue hardship for EVERSANA. The policy regarding requests for reasonable accommodations applies to all aspects of the hiring process. If reasonable accommodation is needed to participate in the interview and hiring process, please contact us at [applicantsupport@eversana.com](mailto:brooke.smith@eversana.com). Follow us on [LinkedIn](https://www.linkedin.com/company/eversana/) | [Twitter](https://twitter.com/EVERSANAcompany)", "summaryDescription" : "National Account Director - Immunology and Gene Therapy - Remote at EVERSANA. Skills: Gene therapy sales, Account management, Market access. Implement strategic engagement approach. Assure product coverage and access", "postedDate" : "2026-06-12T17:04:00.000", "createdAt" : "2026-06-14T05:52:58.617", "lastUpdated" : "2026-06-15T04:55:40.790", "ingestTimestamp" : "2026-06-14T05:52:58.617", "mongoId" : "6a2ca83474d8ee00a09c2624", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 12000000, "salaryAnnualMax" : 18000000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Sales strategy", "Account management", "Forecasting", "Budget management", "Gene therapy sales", "Market access", "Sales processes", "Client relationships", "Revenue generation", "Deal closure", "Commercialization services", "Strategic account planning", "Value-based healthcare", "Market analysis", "Customer profiling", "Stakeholder engagement", "Strategic Account Plans", "Immunology", "Gene therapy", "Recurrent respiratory papillomatosis", "Payer account plan", "Clinical practice", "Disease state" ], "skillCount" : 23, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 318.27808, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "68c2e42bf8b1b0376634c6c9", "title" : "Insights and Measurement Lead", "company" : "Amazon Servicos de Varejo do Brasil Ltda.", "industry" : "Sales, Advertising, Account Management, Professional Services", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Insights and Measurement role in Sao Paulo, Brazil, adjusted for the technology industry and onsite work mode." }, "location" : "Sao Paulo, Sao Paulo, BRA", "locations" : [ "Sao Paulo, Sao Paulo, BRA" ], "timestamp" : "2026-06-15T01:15:38.899", "fingerprint" : "da5b7a7ec744849f3a4f158d6390d5984821f202208cdecf30185b6f2cd4ac0d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076330/apply", "externalId" : "db54b73f-d169-45fd-b915-2bd16cbb9174", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sao Paulo", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "Sao Paulo, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, R, SAS, SQL", "professionalSkills" : [ "Data analysis", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment" ], "hardSkillsList" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement" ], "softSkillsList" : [ "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metric creation", "level" : "intermediate" }, { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Marketing mix modeling", "level" : "intermediate" }, { "name" : "Attribution frameworks", "level" : "intermediate" }, { "name" : "Advertising measurement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Consultative approach" }, { "name" : "Navigate ambiguity" }, { "name" : "Solve complex problems" }, { "name" : "Thought leadership" } ], "majorSkills" : "Insights generation, Measurement strategy, Client relationships", "majorSkillsList" : [ "Insights generation", "Measurement strategy", "Client relationships" ], "coreResponsibilities" : "Leverage data for insights, Generate actionable insights, Own measurement relationships, Partner on learning objectives, Influence business decisions, Present findings consultatively, Collaborate on solutions, Translate concepts to recommendations, Influence sales initiatives, Influence marketing initiatives, Educate stakeholders, Advocate for data-driven decisions, Drive thought leadership, Encourage advertisers to act", "teamCollaboration" : "Internal teams; Cross-functional; Multiple business functions; Multiple geographies; Sales organization; Account management; Retail; Amazon business partners", "domainKnowledge" : "Digital media; AdTech; Advertising; Digital advertising; Advertising measurement; Marketing mix modeling; Attribution frameworks; Statistical techniques; Machine learning", "domainList" : [ "digital-media", "adtech", "advertising", "digital-advertising", "advertising-measurement", "marketing-mix-modeling", "attribution-frameworks", "statistical-techniques", "machine-learning" ], "domainSpecificKnowledge" : [ "Digital media", "AdTech", "Advertising", "Digital advertising", "Advertising measurement", "Marketing mix modeling", "Attribution frameworks", "Statistical techniques", "Machine learning" ], "toolProficiency" : [ "SQL", "Python", "R", "SAS" ], "communicationSkills" : "Presentation skills; Storytelling; Executive presentations", "problemSolvingSkills" : "Solve complex problems; Translate analytical concepts", "outcomesObjectives" : "Deliver best return on investment", "qualificationsBasic" : "Bachelor's degree, 7+ years client-facing data analysis, 5+ years digital media/AdTech, Translate technical analyses, Data-driven storytelling, Presentation skills, Advertising measurement methodologies, Marketing mix modeling, Attribution frameworks, Advanced statistical techniques, Regression analysis, Segmentation, Machine learning, Proficiency in SQL, Analytical tools fluency", "qualificationsPreferred" : "Advanced degree (MBA, Master's), Digital media planning experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Ads operates at the intersection of e-commerce and advertising, offering a rich array of advertising solutions. We partner with advertisers to reach Amazon customers across our owned and operated sites like Prime Video and Twitch, and on other high-quality sites across the web, and on devices. We are currently looking for a highly skilled and motivated Insights and Measurement Lead to help scale our growing advertising business. The Insights and Measurement Lead is a key member of the sales organization at Amazon Ads, taking a consultative approach, building deep relationships with advertisers, sales, account management, retail, and other Amazon business partners to analyze and measure the success of advertisers' performance on Amazon. Key job responsibilities • Leverage Amazon's proprietary data, third-party research, and Ad measurement solutions to generate actionable insights for C-suite marketing leaders. • Own senior-level measurement and insights customer relationships and partner across strategic learning objectives that influence business decision-making • Present findings consultatively, collaborating with internal teams to deliver comprehensive solutions. • Navigate ambiguity, solve complex problems, and translate analytical concepts into actionable recommendations. • Collaborate cross-functionally to influence sales and marketing initiatives across multiple business functions and geographies. • Educate stakeholders on Amazon's insights and measurement offerings through learning sessions, documentation, and whitepapers. • Advocate for data-driven decision-making, driving thought leadership and encouraging advertisers to act on recommendations. A day in the life On a daily basis, Insights and Measurement Lead activities include analyzing and measuring metrics of success for an advertiser business or category, developing data-driven insights and recommendations for executive client leadership, and communicating recommendations in a clear and compelling fashion. The strategic and consultative digital advertising expertise of the Insights and Measurement Lead is critical to delivering the best return on investment for our customers. About the team The Analytics & Insights (A&I) organization leverages Amazon's data to develop actionable insights for advertisers. By providing insights and measurement solutions, A&I enhances marketers' decision-making processes, measurably improving their success on and off Amazon. Basic Qualifications: - Bachelor's degree with 7+ years of experience in client-facing data analysis roles, including 5+ years in digital media/AdTech consulting or advertising with a top agency or brand. - Expertise in translating technical analyses into actionable insights for diverse stakeholders, with excellent data-driven storytelling and presentation skills. - Demonstrated proficiency in advertising measurement methodologies, marketing mix modeling, and attribution frameworks. - Strong understanding of advanced statistical techniques, including regression analysis, segmentation and machine learning. - Proficiency in SQL for complex data manipulation and metric creation, along with fluency in analytical tools (Python, R, SAS, etc.). - Please apply with resume in English Preferred Qualifications: - Advanced degree (MBA, Master's) in Economics, Marketing, Statistics, Advertising, or Business; or equivalent Digital media planning experience. - Experience with advertising publishers, marketing/creative agencies, and campaign management. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Insights and Measurement Lead at Amazon Servicos de Varejo do Brasil Ltda.. Skills: Insights generation, Measurement strategy, Client relationships. Leverage data for insights. Generate actionable insights", "postedDate" : "2026-06-13T07:15:18.470", "createdAt" : "2026-06-13T07:15:18.470", "lastUpdated" : "2026-06-15T01:15:38.899", "ingestTimestamp" : "2026-06-13T07:15:18.470", "mongoId" : "68c2e42bf8b1b0376634c6c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076330/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement", "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership", "Insights generation", "Measurement strategy", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment", "Digital media", "AdTech", "Advertising", "SQL", "Python", "R", "SAS" ], "skillCount" : 31, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "_score" : 316.95566, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a210eba74d8ee00a0af9479", "title" : "Technical Program Management, Privacy Centric Measurement, AIM", "industry" : "Technology", "location" : "[Bengaluru, Karnataka, India, [3, Old Madras Rd, Sadanandanagar, Bennigana Halli, Bengaluru, Karnataka 560038, India], Bengaluru, 560038, KA, IN]", "locations" : [ "[Bengaluru, Karnataka, India, [3, Old Madras Rd, Sadanandanagar, Bennigana Halli, Bengaluru, Karnataka 560038, India], Bengaluru, 560038, KA, IN]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T13:57:02.800", "fingerprint" : "8d30a7219abccc86f429b140c0142b26266d8e15a4974064b6c4c23a1781fc57", "source" : "google", "language" : "en", "externalId" : "87694740987749062", "industryFunction" : { }, "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Program management", "Technical program management" ], "hardSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Data science", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "ML/AI", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Privacy centric measurement", "domainList" : [ "privacy-centric-measurement" ], "domainSpecificKnowledge" : [ "Privacy centric measurement" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years of experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "summaryDescription" : "Technical Program Management, Privacy Centric Measurement, AIM. Skills: Data science, Data engineering, ML/AI, Business intelligence", "postedDate" : "2026-06-16T01:51:30.938", "createdAt" : "2026-06-16T01:51:30.938", "lastUpdated" : "2026-06-16T13:57:02.800", "ingestTimestamp" : "2026-06-16T01:51:30.938", "mongoId" : "6a210eba74d8ee00a0af9479", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Program management", "Technical program management", "Agile", "Privacy centric measurement", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "_score" : 314.76, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.0 }, { "id" : "6a2c5ddf74d8ee00a08df2e2", "title" : "Volatility Quantitative Researcher", "company" : "Walleye Capital", "industry" : "Financial Services", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry-level Volatility Quantitative Researcher in Miami, adjusted for FinTech industry and company size." }, "location" : "Miami, Florida, United States", "locations" : [ "Miami", "Florida", "United States" ], "timestamp" : "2026-06-14T23:55:42.911", "fingerprint" : "913ba84244eb1b328f599496b7e62d5d8ef5274bbf447a49a54d200859e73a22", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/walleyecapital-external-students/jobs/4586185006", "externalId" : "4586185006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Miami", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "25.7741566,-80.1935973" } ], "locationText" : "Miami, Florida, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python", "professionalSkills" : [ "Quantitative analysis", "Statistical analysis", "Modelling", "Alpha trading strategies", "Portfolio optimization" ], "hardSkillsList" : [ "Time series analysis", "Regression techniques", "Machine learning" ], "hardSkills" : [ { "name" : "Time series analysis", "level" : "intermediate" }, { "name" : "Regression techniques", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Volatility trading, Quantitative research, Machine learning", "majorSkillsList" : [ "Volatility trading", "Quantitative research", "Machine learning" ], "coreResponsibilities" : "Research alpha trading strategies, Design alpha trading strategies, Automate alpha trading strategies, Manipulate proprietary data, Manipulate public data, Build custom data sets, Build predictive models, Monetize trading signals, Manage risk, Automate strategy execution", "teamCollaboration" : "Work with traders; Work with quants; Work with portfolio managers; Work with technology teams", "domainKnowledge" : "Financial instruments; Stocks; Options; Time series financial data", "domainList" : [ "financial-instruments", "stocks", "options", "time-series-financial-data" ], "domainSpecificKnowledge" : [ "Financial instruments", "Stocks", "Options", "Time series financial data" ], "communicationSkills" : "Clarify task requirements; Communicate research findings; Propose solutions", "innovationCreativity" : "Innovate", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Proficiency in statistical analysis, Modelling of time series financial data, Python required, Basic understanding of financial instruments, Communication skills required, Commitment to thorough, accurate work", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Position: Quantitative Researcher (Full-Time) Location: Miami, Florida Firm Overview Walleye Capital is a ~$16 billion+ multi-strategy investment firm headquartered in New York City, with over 350 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Volatility, Fundamental Equities, and Quant strategies. At Walleye, we continuously innovate by focusing on three core principles: approach, platform, and people. Our approach is to allocate risk capital where we believe there is not only a compelling opportunity, but also a clear ability to define our tangible edge. We seek to leverage the mathematical benefits of diversification while utilizing sophisticated infrastructure, technology, and our balance sheet to do so in a structurally advantageous way. Our platform, developed over two decades, is central to our operations, evolving alongside business complexities and technological advancements to support our team’s success. Our people are our greatest asset, and we’ve cultivated an environment that attracts top talent by balancing autonomy with collaboration, and intelligence with integrity. Quantitative Researcher Walleye Capital is seeking a motivated and technical Quant Researcher to join the Equity Volatility team in Miami. The ideal candidate will possess strong statistical, analytical, and modelling skills. This role offers the opportunity to work with portfolio managers, research, and technology teams to research, design, and automate alpha trading strategies, and completely automate strategy execution. Responsibilities: Work with traders and quants to research, design, and automate alpha trading strategies Manipulate proprietary and public data to build custom data sets for use in research and model development Build predictive models of asset prices over short, medium, and long term frequencies using simple and advanced regression techniques, including machine learning Assist portfolio manager in building portfolio optimization tools to monetize trading signals and manage risk Work with portfolio manager and technology teams to completely automate strategy execution Qualifications: Proficiency in statistical analysis and modelling of time series financial data in Python is required Basic understanding of financial instruments including stocks and options Role is open to new graduates or first-time finance jobs Strong communication skills, such as ability to clarify task requirements, communicate research findings, and propose solutions to challenges are required Commitment to thorough, accurate work Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. If you require a reasonable accommodation to participate in any part of our hiring process, please contact hr@walleyecapital.com Personal data you provide will be processed in accordance with Walleye Capital LLC’s Privacy Notice available at: https://www.walleyecapital.com/", "summaryDescription" : "Volatility Quantitative Researcher at Walleye Capital. Skills: Volatility trading, Quantitative research, Machine learning. Research alpha trading strategies. Design alpha trading strategies", "postedDate" : "2026-06-12T21:50:45.450", "createdAt" : "2026-06-12T21:50:45.450", "lastUpdated" : "2026-06-14T23:55:42.911", "ingestTimestamp" : "2026-06-12T21:50:45.450", "mongoId" : "6a2c5ddf74d8ee00a08df2e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 180000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Time series analysis", "Regression techniques", "Machine learning", "Volatility trading", "Quantitative research", "Quantitative analysis", "Statistical analysis", "Modelling", "Alpha trading strategies", "Portfolio optimization", "Financial instruments", "Stocks", "Options", "Time series financial data" ], "skillCount" : 14, "jobCategory" : "other", "jobSubcategory" : "single-stock---volatility", "dataQualityScore" : 0.8888889, "_score" : 314.57095, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "69e1e2ef2beec4dd3d1ccdc1", "title" : "Made to Measure Assistant Manager", "company" : "The Tie Bar", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Retail in Chicago, adjusted for company size and experience level." }, "location" : "Chicago, IL", "locations" : [ "Chicago", "IL" ], "timestamp" : "2026-06-16T02:07:36.304", "fingerprint" : "58dfc379dd33843141e20509990d948531d5c23c2129a7a9c3dae0d774691c22", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://tie-bar.breezy.hr/p/d0a7c3da0141-made-to-measure-assistant-manager", "externalId" : "d0a7c3da0141", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "coreResponsibilities" : "Assist customers with made-to-measure selections, Provide expert styling advice, Process sales transactions accurately, Maintain store appearance and merchandising standards, Achieve sales targets and KPIs", "domainKnowledge" : "Menswear; Tailoring", "domainList" : [ "menswear", "tailoring" ], "domainSpecificKnowledge" : [ "Menswear", "Tailoring" ], "communicationSkills" : "Customer service", "outcomesObjectives" : "Achieve sales targets", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Assistant Manager, Made-to-Measure The Tie Bar Location: Chicago, IL About Us Founded with the belief that great style should be accessible, The Tie Bar offers modern menswear essentials with a focus on quality, fit, and value. Known for expertly crafted ties, shirting, and tailored apparel, we co", "summaryDescription" : "Made to Measure Assistant Manager at The Tie Bar. Assist customers with made-to-measure selections. 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