{ "count" : 18116, "data" : [ { "id" : "6a0dbf6b58b93c861eaded33", "title" : "Quantitative Methods in Health Sciences: Categorical Variables", "company" : "Our People And Committed To Employment Equity", "industry" : "Health Sciences", "salary" : { "min" : 239.47, "max" : 239.47, "currency" : "USD", "frequency" : "yearly" }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-05-20T17:40:54.535", "fingerprint" : "563d84db68d8497cd9ae61040dfbf6b8ed91e9885a0b323ec5ca868e5de4ad98", "source" : "workday", "language" : "en", "applyUrl" : "https://uottawa.wd3.myworkdayjobs.com/uOttawa_External_Career_Site/job/Lees-Campus/APTPUO-Winter-2027-PT-HSS2382P_JR35217", "externalId" : "JR35217", "industryFunction" : { }, "locationPoint" : "56.1304,-106.3468", "structuredLocations" : [ { "city" : "Montreal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Montreal, Quebec, Canada", "employmentType" : "PART_TIME", "minimumEducation" : "Masters-level degree", "technicalSkills" : "Categorical Variables, Descriptive Statistics, Inferential Statistics, Probability, Hierarchical Loglinear Analysis, Logistic Regression, Statistical Software", "professionalSkills" : [ "Health Biosciences", "Behavioural Data Analysis", "Clinical Data Analysis", "Scientific Data Management", "Scientific Data Presentation" ], "hardSkillsList" : [ "Analysis of categorical variables", "Descriptive statistics", "Inferential statistics", "Probability", "Hierarchical loglinear analysis", "Logistic regression", "Use of computer applications to analyze, manage and present scientific data" ], "softSkillsList" : [ "Teamwork", "Inclusion", "Collaboration", "Creativity" ], "hardSkills" : [ { "name" : "Analysis of categorical variables", "level" : "intermediate" }, { "name" : "Descriptive statistics", "level" : "intermediate" }, { "name" : "Inferential statistics", "level" : "intermediate" }, { "name" : "Probability", "level" : "intermediate" }, { "name" : "Hierarchical loglinear analysis", "level" : "intermediate" }, { "name" : "Logistic regression", "level" : "intermediate" }, { "name" : "Use of computer applications to analyze, manage and present scientific data", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Teamwork" }, { "name" : "Inclusion" }, { "name" : "Collaboration" }, { "name" : "Creativity" } ], "majorSkills" : "Quantitative Methods in Health Sciences, Categorical Variables, Statistics, Logistic Regression", "majorSkillsList" : [ "Quantitative Methods in Health Sciences", "Categorical Variables", "Statistics", "Logistic Regression" ], "coreResponsibilities" : "Introduction to analysis of categorical variables, Applications of both descriptive and inferential statistics to integrative health biosciences, behavioural and clinical data, Use of computer applications to analyze, manage and present scientific data, Emphasis on probability, hierarchical loglinear analysis and logistic regression, Teaching Quantitative Methods in Health Sciences: Categorical Variables", "domainKnowledge" : "Health Sciences; Integrative health biosciences; Behavioural data; Clinical data", "domainList" : [ "health-sciences", "integrative-health-biosciences", "behavioural-data", "clinical-data" ], "domainSpecificKnowledge" : [ "Health Sciences", "Integrative health biosciences", "Behavioural data", "Clinical data" ], "toolProficiency" : [ "Statistical Software" ], "innovationCreativity" : "Innovation", "specialRequirements" : "Mandatory legislated training", "qualificationsBasic" : "Masters-level degree in health sciences (or equivalent) in statistics or quantitative methodologies, University-level teaching, Training in: health statistics, Training in: use of statistical software, Training in: health research", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "**_Posting Reason:_** New Position ** _Location:_** Main Campus ** _Academic Period:_** 2027 Winter Semester _**Faculty:**_ Faculté des sciences de la santé / Faculty of Health Sciences ** _Academic Unit:_** École interdisciplinaire de sciences de la santé \\\\\\ Interdisciplinary School of Health Sciences _**Course Title:**_ Quantitative Methods in Health Sciences: Categorical Variables _**Course Code:**_ HSS2382 _**Section:**_ P _**Course Description:**_ Quantitative Methods in Health Sciences: Categorical Variables (2.5,0,1) 3 cr. Introduction to analysis of categorical variables. Applications of both descriptive and inferential statistics to integrative health biosciences, behavioural and clinical data. Use of computer applications to analyze, manage and present scientific data. Emphasis on probability, hierarchical loglinear analysis and logistic regression. Course Component: Laboratory, Lecture The courses HSS 2381, APA 3381, PSY 2106, PSY 2116, MAT 2371, MAT 2375, MAT 2379 cannot be combined for units. _**Posting limited to:**_ Professeur à temps-partiel régulier / Regular Part-Time Professor _**Date Posted (YYYY/MM/DD):**_ 2026/05/20 _**Applications must be received******BEFORE******(YYYY/MM/DD):**_ 2026/06/22 _**Expected Enrolment:**_ 125 _**Approval date:**_ 2026/05/20 _**Number of credits:**_ 3 _**Work Hours:**_ 39 ** _Hourly Rate:_** Enseignement / Teaching: $239.47 (2024-2025) **The academic year starts on September 1 and ends on August 31.** **These rates do not included vacation pay nor statutory pay.** **These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.** _**Course type:**_ C _**Posting type:**_ Régulier / Regular _**Language of instruction:**_ Anglais | English _**Competence in second language:**_ Passive _**Course Schedule:**_ Lundi | Monday 19:00-21:30 - - Labs: Tuesdays from 1:00PM to 1:50 PM, HYBRID ** _Requirements:_** Minimum requirements: \\- Masters-level degree in health sciences (or equivalent) in statistics or quantitative methodologies. \\- University-level teaching \\- Training in: health statistics, use of statistical software, health research. Schedule: Mondays from 7:00:00 PM to 9:20:00 PM , WEB CONFERENCE, Virtual Labs: Tuesdays from 1:00:00 PM to 1:50:00 PM, HYBRID _**Additional Information and/or Comments:**_ Course delivery: Web conference, virtual An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law. The hiring process will be governed by the current APTPUO collective agreements; you can click [here for the main unit](https://www.uottawa.ca/about-us/sites/g/files/bhrskd336/files/2024-11/CA%20-%20APTPUO%20-%20Main%20Unit%20-%202021-2025.pdf), [here for the OLBI unit](https://www.uottawa.ca/about-us/sites/g/files/bhrskd336/files/2024-07/CA%20-%20APTPUO%20ILOB%20-%202021-2025.pdf), or [here for the Toronto/Windsor unit](https://www.uottawa.ca/about-us/sites/g/files/bhrskd336/files/2024-07/CA%20-%20APTPUO%20-%20TorWin%20-%202021-2025.pdf) to find out more. The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact [vra.affairesprofessorales@uottawa.ca](mailto:vra.affairesprofessorales@uottawa.ca) to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.", "summaryDescription" : "Quantitative Methods in Health Sciences: Categorical Variables at Our People And Committed To Employment Equity. Skills: Quantitative Methods in Health Sciences, Categorical Variables, Statistics, Logistic Regression. Introduction to analysis of categorical variables. 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The technology and electronics company offers a wide-ranging portfolio that makes mobility safe, exciting, connected, and autonomous. This includes sensor solutions, displays, braking and comfort systems as well as comprehensive expertise in software, architecture platforms, and assistance systems for software-defined vehicles. In the fiscal year 2024 the business areas, which now belong to AUMOVIO, generated sales of 19.6 billion Euro. The company is headquartered in Frankfurt, Germany and has about 87.000 employees in more than 100 locations worldwide. The Process and Methods Engineer will be responsible for evaluating, analyzing and improving the effectiveness of production processes, methodologies and workflows. The role involves identifying areas for improvement, recommending best practices and working closely with cross-functional teams to implement improvements that increase efficiency and reduce operational costs. ## Qualifications Degree or studies in production engineering or related field. Analytical and problem-solving skills. Excellent communication, both written and verbal. ## Additional Information Ready to take your career to the next level? The future of mobility isn’t just anyone’s job. Make it yours! Join AUMOVIO. Own What’s Next.", "summaryDescription" : "Methods & Process Engineer at Aumovio. Evaluate production processes. Analyze production processes", "postedDate" : "2026-06-15T16:51:16.000", "createdAt" : "2026-06-16T00:07:10.551", "lastUpdated" : "2026-06-16T08:49:09.723", "ingestTimestamp" : "2026-06-16T00:07:10.551", "mongoId" : "6a306ce3f292fd229cfd6583", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Automotive technology", "Electronics technology", "Software-defined vehicles" ], "skillCount" : 3, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c947374d8ee00a098a7f5", "title" : "Sr. GIS Solution Engineer- Health & Sciences", "company" : "Esri", "industry" : "Technology", "salary" : { "min" : 98592.0, "max" : 173576.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vienna, Virginia, United States", "locations" : [ "Vienna", "Virginia", "United States" ], "timestamp" : "2026-06-16T05:03:13.757", "fingerprint" : "829cb34afb889e39aeb9f78bd4717b8fbee58f42f492e130ecc404c647c30085", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.esri.com/careers/5159850007?gh_jid=5159850007", "externalId" : "5159850007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vienna", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9013729,-77.2651762" } ], "locationText" : "Vienna, Virginia, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "Overview GIS Solution Engineers on our Health experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the base salary range is $98,592—$173,576 USD The Company At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here. If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.", "summaryDescription" : "Sr. GIS Solution Engineer- Health & Sciences at Esri", "postedDate" : "2026-06-14T20:12:18.850", "createdAt" : "2026-06-14T20:12:18.850", "lastUpdated" : "2026-06-16T05:03:13.757", "ingestTimestamp" : "2026-06-14T20:12:18.850", "mongoId" : "6a2c947374d8ee00a098a7f5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 98592, "salaryAnnualMax" : 173576, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056c2f292fd229cf2e3da", "title" : "Manager, Flight Sciences", "company" : "Otto Aerospace", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager, Flight Sciences in the Aerospace industry in the United States, adjusted for seniority and remote work." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-16T07:40:37.276", "fingerprint" : "85d373b8914acbbad4f10e3a5ece6e79399c165b068023e235dd45ca3c312468", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ottoaviation/jobs/5253196008", "externalId" : "5253196008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Manager, Flight Sciences About Otto Aerospace Otto is developing the world’s first fifth-generation business jet, designed for sustainability through the innovative use of advanced super-laminar aerodynamics and high-precision, net-shaped composites. Flight tests of our technology demonstrator validate a dramatic reduction in fuel burn and allow for a sizeable improvement in cabin comfort. Otto Aerospace is designing world-class aircraft from first principles of physics and delivering ground-breaking aircraft and economic performance.  About the Role We are seeking a Manager of Flight Sciences to lead a multidisciplinary team responsible for the technical definition, execution, and certification of all flight sciences disciplines, including applied aerodynamics; aircraft performance; stability external loads; aeroelasticity aeroacoustics; and wind tunnel testing. This role is responsible for integrating flight sciences engineering with Flight Test, Certification, Systems, Structures, and Program Management to ensure regulatory compliance, technical rigor, and on schedule program execution. The position combines hands on technical authority with people, budget, and planning responsibility, and is a key contributor to Otto aircraft development and certification programs. Key Responsibilities Manage day-to-day operations of the Flight Sciences team, including staffing, hiring, mentoring, and performance management; career development and technical skill progression; and use of consultants, suppliers, and contractors as needed Promote a culture of technical excellence, data integrity, and collaborative problem solving Maintain and continuously improve Flight Sciences tools, processes, best practices, and technology/capability roadmaps Plan and execute Flight Sciences deliverables aligned with program schedule, budget, and technical maturity targets Direct aerodynamic design, configuration development, and optimization using first-principles physics and simulation-driven processes Ensure Flight Sciences outputs are clearly communicated, traceable, and integrated into program decisions Identify, track, and mitigate technical risks and uncertainties related to aerodynamic performance, handling qualities, and envelope limits Support engineering trade studies and configuration decisions with defensible, data driven analysis Serve as the technical approval authority for flight sciences analyses, reports, and certification data packages Required Qualifications Bachelor’s degree in Aerospace Engineering or a related field 10+ years of experience in flight sciences, aerodynamics, aircraft performance, or flight mechanics, including leadership experience Experience leading technical teams and delivering engineering products to schedule Experience supporting flight test campaigns and correlating analysis to flight data Experience supporting flight sciences related activities as part or certification programs Experience working with civil certification standards (e.g., FAA Part 23 or Part 25) Strong understanding of aerodynamic theory; aircraft performance; aircraft handling qualities; and flight test data analysis and correlation Preferred Qualifications Master’s degree in aerospace engineering 15+ years of experience in flight sciences disciplines Experience with FAA Part 23 or Part 25 certification requirements Experience in transonic aircraft design and laminar flow aerodynamics Experience with wind tunnel and flight test correlation, aircraft configuration development, and clean-sheet or experimental aircraft Background in high altitude, high speed, or transonic aircraft Experience with experimental or first-of-type aircraft Interpersonal Skills Active Listening: Practice gaining insight and understanding of all project stakeholders Critical Thinking: Make prompt, informed, and value-based decisions for the project Organization: Focus on agenda, schedules, frameworks, and methodologies, as well as communicating tasks, updates, progress, and blockers Problem Solving: Assess issues from different vantage points and formulate the best solution in addressing specific challenges Self-Motivation: Exude the highest level of commitment and motivation to see it through from start to finish Teamwork and Team Building: Establish a collaborative culture where people with unique personalities and skills happily work together and accountable to shared goals Strong Business Communication: Use the right language, tone and storytelling techniques when communicating, describing, or explaining issues over email, chat, reports, presentations and other forms and channels of communication Ability to work with domestic/international suppliers/partners effectively Where You'll Be ** This role will initially be remote with 25% travel to our temporary facility at Meacham Airport in Fort Worth, TX. In mid to late 2026, or once our new headquarters in Jacksonville, FL is ready for occupancy, the role will transition to onsite at that location. Benefits Otto Aviation provides a robust benefits package that includes competitive salaries, subsidized medical, dental, and vision coverage, 401(k) opportunities, paid short term disability, voluntary long-term disability and additional term life, with 15 paid days off, 13-14 paid holidays, and paid sick leave. Depending on seniority and role, some roles qualify for potential bonuses and stock options. Otto Aviation is an Equal Opportunity Employer We are committed to diversity, equity, and inclusion in every aspect of our hiring process. All applicants will be considered for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We believe that a diverse team brings fresh perspectives, innovative ideas, and greater success. The more inclusive we are, the stronger we become. Applicants must be legally authorized to work in the U. S. #LI Remote", "summaryDescription" : "Manager, Flight Sciences at Otto Aerospace", "postedDate" : "2026-06-15T23:17:50.452", "createdAt" : "2026-06-15T23:17:50.452", "lastUpdated" : "2026-06-16T07:40:37.276", "ingestTimestamp" : "2026-06-15T23:17:50.452", "mongoId" : "6a3056c2f292fd229cf2e3da", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Aerospace", "llmIndustryConfidence" : 0.98 }, { "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, "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. Implement model prototypes", "createdAt" : "2026-06-14T18:38:40.209", "lastUpdated" : "2026-06-16T02:57:35.521", "ingestTimestamp" : "2026-06-14T18:38:40.209", "mongoId" : "6a2c75ec74d8ee00a09388a3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 280000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistics", "Regression", "Optimization", "ML fundamentals", "Clear communicator", "Quantitative research", "Model implementation", "Data pipelines", "Feature generation", "Back-testing", "Model evaluation", "Data schemas", "APIs", "Reproducibility standards", "Financial datasets", "Portfolio optimization", "Risk modeling", "Financial time-series", "Git", "Docker", "Prefect", "Airflow" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b5574d8ee00a09115d8", "title" : "Quantitative Trader", "company" : "Tower Research Capital", "industry" : "FinTech", "salary" : { "min" : 250000.0, "max" : 450000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Quantitative Trader in New York, adjusted for mid-seniority and FinTech industry." }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-15T22:18:02.314", "fingerprint" : "07c3641e8501e6ed9094b06500d7942cae99bedbfbb61f0debdcaadebb167145", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.tower-research.com/open-positions/?gh_jid=8001169", "externalId" : "8001169", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "minimumEducation" : "Bachelor's", "remoteFriendly" : true, "rawDescription" : "Tower Research Capital is a leading quantitative trading firm founded in 1998. 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, "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. 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 - Macro Assets at Man Group", "postedDate" : "2026-06-16T01:17:44.909", "createdAt" : "2026-06-16T01:17:44.909", "lastUpdated" : "2026-06-16T12:04:26.270", "ingestTimestamp" : "2026-06-16T01:17:44.909", "mongoId" : "6a3079f5f292fd229c0365f0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3079f5f292fd229c0365ed", "title" : "Quantitative Portfolio Implementation Analyst", "company" : "Man Group", "industry" : "FinTech", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Quantitative Portfolio Implementation Analyst in Massachusetts, USA, with adjustments for the Financial Services industry and a large company size." }, "location" : "Massachusetts", "locations" : [ "Massachusetts" ], "timestamp" : "2026-06-16T11:33:04.367", "fingerprint" : "0648696c0c236da2f89e083195439ddda04f48311af5fce247e6693f82b0c297", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/mangroup/jobs/4890008101", "externalId" : "4890008101", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Massachusetts", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Massachusetts, United States", "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 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. 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 Portfolio Implementation Analyst at Man Group", "postedDate" : "2026-06-16T01:16:52.116", "createdAt" : "2026-06-16T01:16:52.116", "lastUpdated" : "2026-06-16T11:33:04.367", "ingestTimestamp" : "2026-06-16T01:16:52.116", "mongoId" : "6a3079f5f292fd229c0365ed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c96fa74d8ee00a09910b7", "title" : "Graduate Quantitative Researcher", "company" : "IMC", "industry" : "FinTech", "salary" : { "min" : 105000.0, "max" : 135000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level Quantitative Researchers in Zug, Switzerland, adjusted for the FinTech industry and company size." }, "location" : "Zug, Switzerland", "locations" : [ "Zug", "Switzerland" ], "timestamp" : "2026-06-16T02:14:32.543", "fingerprint" : "d0dbd340ee76e4df11ba4008a8228eefb70ea2846950eb08bf306a98b9f7b594", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/imc/jobs/4892687101", "externalId" : "4892687101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zug", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "47.1486137,8.5539378" } ], "locationText" : "Zug, Switzerland", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, C++", "professionalSkills" : [ "Quantitative analysis", "Data analysis" ], "hardSkillsList" : [ "Quantitative methods" ], "hardSkills" : [ { "name" : "Quantitative methods", "level" : "intermediate" } ], "majorSkills" : "Quantitative research, Data analysis, Model development", "majorSkillsList" : [ "Quantitative research", "Data analysis", "Model development" ], "coreResponsibilities" : "Research trading ideas, Test trading ideas, Analyse datasets, Build models, Test models, Improve models, Build signals, Test signals, Improve signals, Build algorithms, Test algorithms, Improve algorithms, Work with data infrastructure, Work with software infrastructure, Work with HPC infrastructure, Collaborate with researchers, Collaborate with developers, Collaborate with engineers, Turn research into strategies, Evaluate trading opportunities", "teamCollaboration" : "Collaborate with researchers; Collaborate with developers; Collaborate with engineers", "domainKnowledge" : "Financial markets; Trading; Cryptocurrency; DeFi; Quantitative trading", "domainList" : [ "financial-markets", "trading", "cryptocurrency", "defi", "quantitative-trading" ], "domainSpecificKnowledge" : [ "Financial markets", "Trading", "Cryptocurrency", "DeFi", "Quantitative trading" ], "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "Final-year student or recent graduate, Mathematics, Statistics, Physics, Computer Science, Engineering or related quantitative field, Analytical and problem-solving skills, Programming experience, Quantitative methods to real-world problems", "qualificationsPreferred" : "Python programming experience, C++ familiarity, Prior experience in trading, crypto, or financial markets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Graduate Quantitative Researcher, you will work with experienced researchers and developers in a fast-paced, data-driven environment. 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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305fb8f292fd229cf8004b", "title" : "Senior Director, Clinical Sciences", "company" : "Amylyx Pharmaceuticals", "industry" : "Pharma", "salary" : { "min" : 257000.0, "max" : 289000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cambridge, Massachusetts, United States", "locations" : [ "Cambridge", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T10:15:38.578", "fingerprint" : "5dad5cab9b1f022544bda6db02df92e99f06d15672971e2b423b27f4485b2218", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/amylyx/jobs/5968729004", "externalId" : "5968729004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's Degree", "experienceMinYears" : 5, "experienceLevel" : "Director", "rawDescription" : "Amylyx has an audacious mission to usher in a new era for treating diseases with high unmet needs. Where others see challenges, we see opportunities that we pursue with urgency, rigorous science, and unwavering commitment to the communities we serve. We are a clinical-stage company currently focused on post-bariatric hypoglycemia (PBH), Wolfram syndrome, and amyotrophic lateral sclerosis (ALS). Our mission is powered by our people. Our core values – be audacious, be curious, be authentic, be engaged, and be accountable – creating a culture of caring. Amylyx has assembled an experienced team ready to take action because the communities we serve have no time to wait. If you share our passion and are determined to tackle some of medicine’s toughest problems, we encourage you to read the opportunity below and apply. The Opportunity The Senior Director, Clinical Sciences will be a key member of the Clinical Development team with responsibilities to provide scientific support for ongoing activities. This role will report to a Senior Medical Director and will collaborate cross functionally with R&D, program management, clinical operations, biostatistics, and data management. The selected candidate will support and drive key development activities for clinical studies and overall execution of program Clinical Development Plans (CDP). Responsibilities Collaborates with the clinical development team in review, analysis, and interpretation of study results. Provides scientific support on ongoing Phase I to III clinical trials and contributes to the planning and design of upcoming clinical studies. Performs monitoring and review of study data including labs, safety data, and patient eligibility and consults with the program physician as needed. Authors and/or reviews clinical trial-related documents including protocols, CRF, informed consent, protocol deviations, monitoring plans and regulatory documents, etc. Contributes to regulatory documents including CSRs, Investigator’s Brochures, and Clinical sections of INDs, CTAs. Interacts with external medical/scientific advisors, thought leaders and clinical investigators in the therapeutic areas as well as with internal management and drug development staff to prepare/revise/maintain and efficiently execute the clinical development plan. Required Qualifications Advanced degree (., Ph.D., Pharm.D., Master’s Degree in Science/Medical-related field). PhD or PharmD with 5+ years Clinical Research, Pharmaceutical, or CRO experience, OR Master’s degree with 10+ years of relevant experience. Knowledge of Phase 1-3 drug development. Knowledge of clinical trial implementation and sponsor/site interactions for clinical trials. Well-versed in relevant applications of GCP (Good Clinical Practice), ICH, FDA, EMEA and other relevant guidelines and regulations. Strong, collaborative team-player. Excellent attention to detail and communication skills. Preferred Requirements Prior experience working in rare disease within neurology or endocrinology Work Location and Conditions At Amylyx, we proudly support remote work opportunities within the United States. However, due to business considerations related to health insurance coverage and state tax regulations, we are unable to hire employees who reside and/or work in certain states. Currently, we are not considering applicants from Alaska, Arizona, Hawaii Michigan and Tennessee. You will be expected to travel to our corporate location in Cambridge, MA several times a year and attend other company-related events as necessary and requested. You must have access to work in setting which enables meeting all requirements of the role (including privacy, reliable internet access, phone, ability to video conference, etc.) at your remote location. Compensation The pay range posted below represents our good faith estimate of compensation for this role, based on market data and internal benchmarks. The final offer may vary depending on a candidate’s experience, skills, and qualifications, as well as considerations of internal equity. Estimated Pay Range $257,000—$289,000 USD To stay connected with us, follow Amylyx Pharmaceuticals on LinkedIn. To return to our website please click here. Amylyx Pharmaceuticals is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, pregnancy-related conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Amylyx’s management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs, and general treatment during employment. Accommodations are available for candidates who require them in our selection process. If you need an accommodation, please let your Amylyx Talent Acquisition contact know. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. 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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. Design monetization algos", "postedDate" : "2026-06-14T08:18:55.572", "createdAt" : "2026-06-14T08:18:55.572", "lastUpdated" : "2026-06-15T05:05:00.246", "ingestTimestamp" : "2026-06-14T08:18:55.572", "mongoId" : "6a2c7c2b74d8ee00a094c82a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistics", "Machine learning", "Programming", "Data handling", "Tick data analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Intellectual integrity", "Interpersonal adaptability", "Quantitative research", "Data science", "Algorithmic trading", "Alpha research", "Monetization algos", "Execution algos", "Market impact modelling", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Time management", "Alternative investment", "Systematic strategies", "Market structure", "Trading venues", "Asset classes", "Cash Equities", "Futures", "FX", "Options", "High-frequency trading", "Microstructure", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Python", "R", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "MLflow", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 58, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a15e57858b93c861e7d0033", "title" : "Technical Author for Repair Methods in After-Sales", "company" : "Mercedes-Benz Research and Development India", "industry" : "Manufacturing", "salary" : { "min" : 1300000.0, "max" : 2100000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Technical Author in the Automotive industry in Bangalore, India, adjusted for company size and specific role requirements." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "'Embassy Crest' Plot No 5, , EPIP Zone, Phase 1, " ], "timestamp" : "2026-06-15T06:52:40.531", "fingerprint" : "a8ce8b007912797ba2d1433d76ce724c21d4afef59a87d8b618635e5a9e95468", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=898401", "externalId" : "898401", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "technicalSkills" : "NX CAD, CAD", "professionalSkills" : [ "Technical documentation", "Simulation", "Publication" ], "hardSkillsList" : [ "Repair concepts", "Standard Times", "MTM-Systematic" ], "hardSkills" : [ { "name" : "Repair concepts", "level" : "intermediate" }, { "name" : "Standard Times", "level" : "intermediate" }, { "name" : "MTM-Systematic", "level" : "intermediate" } ], "majorSkills" : "Repair Methods, Technical Documentation, Automotive Components", "majorSkillsList" : [ "Repair Methods", "Technical Documentation", "Automotive Components" ], "coreResponsibilities" : "Research engineering data, Analyze engineering data, Develop digital repair methods, Develop digital maintenance methods, Evaluate repair concepts, Develop repair concepts, Document repair methods, Derive Standard Times, Understand carlines, Understand engine types, Coordinate with departments, Contribute to improvement, Research AW-System, Analyze AW-System, Plan AW-System, Plan for new car-models", "teamCollaboration" : "Different departments", "domainKnowledge" : "After Sales; 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Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Key Responsibilities: • Research and analysis of Engineering data (3D CAD) • Develop digital repair & maintenance methods • Evaluate & develop repair concepts in EC (via Work-Step-Table “AST”) • Document repair methods in the database • Derive Standard Times via MTM-Systematic (AW: repair time for workshops) • Develop thorough understanding of the various carlines & engine types in MBC • Co-ordinate with different departments for updates on the above • Contribute to continuous improvement in the specified working area • Research and analysis of Daimler AW-System based on MTM-Systematic • Planning of the AW-System for new car-models in DC-Repa (Daimler AW-Tool) • experience in the field of After Sales/technical documentation/ simulation/publication • Good knowledge on automotive components/systems and its functioning is must • Experience in repairs & maintenance of cars is a must • Knowledge in Powertrain/ Vehicle Integration related to MBC • Experience in NX CAD is a must • Experience in any Engineering Change Management system • Experience in any PLM software • Knowledge in computer programming & German language are added advantages • Knowhow of the key aftersales processes in the Daimler workshops is desired ( e.g.: what does an MB-Technician need? ) Why Join Us? · Be part of a purpose-driven organization that is shaping the future of mobility · Work on cutting-edge technologies and global projects · Thrive in a collaborative, diverse, and inclusive environment · Access world-class infrastructure and continuous learning opportunities Equal Opportunity Statement At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Technical Author for Repair Methods in After-Sales at Mercedes-Benz Research and Development India. Skills: Repair Methods, Technical Documentation, Automotive Components. Research engineering data. Analyze engineering data", "createdAt" : "2026-06-14T02:56:29.210", "lastUpdated" : "2026-06-15T06:52:40.531", "ingestTimestamp" : "2026-06-14T02:56:29.210", "mongoId" : "6a15e57858b93c861e7d0033", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Repair concepts", "Standard Times", "MTM-Systematic", "Repair Methods", "Technical Documentation", "Automotive Components", "Technical documentation", "Simulation", "Publication", "After Sales", "Automotive components", "Automotive systems", "Powertrain", "Vehicle Integration", "Daimler workshops", "NX CAD", "EC", "Work-Step-Table", "AW-System", "DC-Repa", "Daimler AW-Tool", "PLM software" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "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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Key Responsibilities: • Research and analysis of Engineering data (3D CAD) • Develop digital repair & maintenance methods • Evaluate & develop repair concepts in EC (via Work-Step-Table “AST”) • Document repair methods in the database • Derive Standard Times via MTM-Systematic (AW: repair time for workshops) • Develop thorough understanding of the various carlines & engine types in MBC • Co-ordinate with different departments for updates on the above • Contribute to continuous improvement in the specified working area • Research and analysis of Daimler AW-System based on MTM-Systematic • Planning of the AW-System for new car-models in DC-Repa (Daimler AW-Tool) • experience in the field of After Sales/technical documentation/ simulation/publication • Good knowledge on automotive components/systems and its functioning is must • Experience in repairs & maintenance of cars is a must • Knowledge in Powertrain/ Vehicle Integration related to MBC • Experience in NX CAD is a must • Experience in any Engineering Change Management system • Experience in any PLM software • Knowledge in computer programming & German language are added advantages • Knowhow of the key aftersales processes in the Daimler workshops is desired ( e.g.: what does an MB-Technician need? ) Why Join Us? · Be part of a purpose-driven organization that is shaping the future of mobility · Work on cutting-edge technologies and global projects · Thrive in a collaborative, diverse, and inclusive environment · Access world-class infrastructure and continuous learning opportunities Equal Opportunity Statement At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Technical Author for Repair Methods in After-Sales at Mercedes-Benz Research and Development India. Skills: Repair methods, Technical documentation, Automotive components. Research engineering data. 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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. Research advanced statistical techniques", "postedDate" : "2026-06-14T19:12:32.693", "createdAt" : "2026-06-14T19:12:32.693", "lastUpdated" : "2026-06-16T03:10:51.149", "ingestTimestamp" : "2026-06-14T19:12:32.693", "mongoId" : "6a2c7c2b74d8ee00a094c82c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Signal construction", "Backtesting", "Overfitting diagnosis", "Critical thinking", "Mentorship", "Quantitative research", "Machine learning", "Statistical analysis", "Systematic equity research", "Alpha signal development", "Medium-frequency trading", "Statistical arbitrage", "End-to-end research project ownership", "Systematic equity", "Alpha signals", "Medium-frequency", "Predictive value", "Systematic trading", "Complex datasets", "Real-world data" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca0cf74d8ee00a09a35ec", "title" : "Senior Quality Control Engineer – Analytical Methods", "company" : "Form Energy", "industry" : "Quality", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Quality Control Engineer – Analytical Methods in Weirton, United States, adjusted for seniority and industry." }, "location" : "Weirton, WV", "locations" : [ "Weirton, WV" ], "timestamp" : "2026-06-15T23:52:06.392", "fingerprint" : "a3530bf971cb9acbb35c09c173ba7044489b2c6458992cf8247b8b30c2868a82", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/formenergy/e8e2f044-86af-48a4-a4c6-8e694019d756/application", "externalId" : "e8e2f044-86af-48a4-a4c6-8e694019d756", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Weirton", "state" : "West Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.4002396,-80.5899788" }, { "city" : "Pittsburgh", "state" : "Pennsylvania", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.4406968,-80.0025666" } ], "locationText" : "Weirton, West Virginia, United States; Pittsburgh, Pennsylvania, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "Are you ready to build America’s energy future? Form Energy is an American manufacturing and energy technology company. We’re revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what’s possible, we’re giving clean energy a whole new form! In recent years, Form Energy has earned a number of accolades, including being named by TIME as a “Best Invention”, MIT Technology Review as a “Top Climate Tech Company To Watch”, and Fast Company as “One of the Next Big Things In Tech”. We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand. We have signed contracts with leading electric utilities across the United States and production of our iron-air batteries is underway at our first high-volume manufacturing facility in West Virginia. Working for Form Energy is more than just a job, it’s a chance to be part of something extraordinary. And now - right as we significantly scale up battery manufacturing - might be the most exciting moment in the company’s history to join. We are assembling a team of highly talented and driven individuals across the country. Driven by our core values of humanity, excellence, and creativity, our team is determined to deliver on our mission and transform the energy landscape for the better. Feeling energized to make a meaningful impact on the world? Then keep reading - you’ve come to the right place. ROLE DESCRIPTION Form Energy is seeking an Analytical Development Engineer to develop and validate fit‑for‑purpose analytical methods that ensure the performance, safety, and reliability of our battery components. As part of the Quality Analytical Development team, you will create robust, data‑driven methods that support product qualification, root‑cause investigations, and continuous improvement across our technology. You’ll collaborate with Design Engineering, Manufacturing Engineering, Supply Chain, and Operations to prioritize method development, reduce measurement system error, and strengthen our Control Plans and Response Plans for active production in FF1. This is a hands‑on, technical role with direct impact on production readiness and product quality. A secondary focus includes supporting root‑cause and corrective‑action efforts for emerging production issues and contributing to cross‑site alignment of analytical strategies and capabilities. Relocation assistance is available. WHAT YOU'LL DO: - Interface with Design Engineering, Manufacturing Engineering, Supply Chain, and Operations to identify where new or improved analytical methods are needed to control processes, reduce variability, and enable better business decisions. - Build and document end‑to‑end development workflows for new analytical methods, including scoping, experimental design, optimization, validation, and readiness for production use. - Maintain and continuously improve the training program for new analytical methods, ensuring technicians and engineers are fully qualified and methods are executed consistently across sites. - Partner with the Lab Manager to diagnose and resolve instrument excursions, performance drift, and maintenance issues that impact method reliability. - Serve as a technical leader in root‑cause investigations and corrective‑action efforts for production issues, using analytical data to drive problem resolution and prevent recurrence. WHAT YOU'LL BRING: - 5+ years of quality systems experience in a manufacturing environment - Advanced understanding of measurement system analysis, sampling plans, hypothesis testing, and calibration - Structured problem-solving (8D) and analytical skills, including strong technical skills in statistical tools, Design of Experiments (DOE), Process Capability (Cpk, Ppk), etc. - Ability to work well in a dynamic, fast-paced environment while remaining detail-oriented with strong record-keeping and organizational skills - Experienced in ISO9001, ISO/TS 16949, APQP, PPAP, SPC is a plus - Bachelor’s degree in Chemistry, Chemical Engineering, or similar fields is a plus WHERE YOU'LL WORK: This role is based at Form Factory 1 in Weirton, WV—an easy commute from the city of Pittsburgh, PA. This 550,000-square-foot facility is our hub for high-volume battery production and a leader in the new era of American energy manufacturing. Relocation assistance is available. #LI-Onsite #LI-DL1 Humanity is a cornerstone of Form Energy’s culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here. When it comes to you and your family’s health, we cover 100% of medical, dental, and vision premiums for full-time employees - and 80% of healthcare premiums for dependents. This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed. To build America’s energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs. If you may require reasonable accommodations to participate in our interview process, please contact accommodations@formenergy.com. Requests for accommodations will be treated with discretion. Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process.", "summaryDescription" : "Senior Quality Control Engineer – Analytical Methods at Form Energy", "createdAt" : "2026-06-14T20:14:44.804", "lastUpdated" : "2026-06-15T23:52:06.392", "ingestTimestamp" : "2026-06-14T20:14:44.804", "mongoId" : "6a2ca0cf74d8ee00a09a35ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6bb474d8ee00a09141c7", "title" : "Junior Quantitative Researcher", "company" : "Quantbox Research", "industry" : "FinTech", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Quantitative Researcher in Amsterdam, Netherlands, adjusted for entry-level experience and the FinTech industry." }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "timestamp" : "2026-06-15T08:51:38.012", "fingerprint" : "66f88c066458580e20fe8613a3abdeb66e476c31f8ceaff19236d420e6f6f77e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/quantboxresearchpte/jobs/4081386101", "externalId" : "4081386101", "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" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, C++, R", "coreResponsibilities" : "Build and improve models", "problemSolvingSkills" : "Creative approach", "qualificationsBasic" : "Bachelor's degree, Python programming, C++ programming, R programming", "qualificationsPreferred" : "PhD", "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 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. 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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 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. 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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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5f4474d8ee00a08ea7c0", "title" : "Formal Methods Engineer", "company" : "Jane Street", "salary" : { "min" : 130000.0, "max" : 195000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Formal Methods Engineer in London, UK, adjusted for industry and company size." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-15T02:29:56.348", "fingerprint" : "9cfcb5f3728531c2c5594eec66deb543f4ab2dc557b29363c985bb67e7058e34", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/janestreet/jobs/8588405002", "externalId" : "8588405002", "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "technicalSkills" : "Formal methods, Interactive proof assistants, Automated theorem provers, Static analysis, Refinement types, Program logics, Property-based testing", "professionalSkills" : [ "Software engineering", "Research" ], "hardSkillsList" : [ "Formal methods", "Interactive proof assistants", "Automated theorem provers", "Static analysis", "Refinement types", "Program logics", "Property-based testing" ], "hardSkills" : [ { "name" : "Formal methods", "level" : "intermediate" }, { "name" : "Interactive proof assistants", "level" : "intermediate" }, { "name" : "Automated theorem provers", "level" : "intermediate" }, { "name" : "Static analysis", "level" : "intermediate" }, { "name" : "Refinement types", "level" : "intermediate" }, { "name" : "Program logics", "level" : "intermediate" }, { "name" : "Property-based testing", "level" : "intermediate" } ], "majorSkills" : "Formal methods, Software engineering", "majorSkillsList" : [ "Formal methods", "Software engineering" ], "coreResponsibilities" : "Establish a new Formal Methods team, Provide feedback for agents, Validate agent-generated code, Leverage existing tools, Pursue novel approaches, Turn research ideas into practical tools, Get tools in use across the firm", "teamCollaboration" : "Small, close-knit teams", "domainKnowledge" : "Agentic programming", "domainList" : [ "agentic-programming" ], "domainSpecificKnowledge" : [ "Agentic programming" ], "innovationCreativity" : "Novel approaches", "qualificationsBasic" : "Deep experience with formal methods, Top-notch software engineering skills, Interpersonal skills", "qualificationsPreferred" : "Previous experience with OCaml, Previous experience with functional programming", "rawDescription" : "About the Position We're looking for software engineers and researchers to establish a new Formal Methods team at Jane Street. With the emergence of agentic programming, we think formal methods will play a major role in providing feedback for agents and helping validate agent-generated code. Our vision is to make formal methods as useful a tool for building software as type systems are for us today, both by leveraging existing tools and technology, and pursuing novel approaches. We're looking to build a new team with engineers who have: Deep experience with formal methods. There's no specific checklist. We're broadly interested in people with backgrounds in interactive proof assistants, automated theorem provers, static analysis, refinement types, program logics, property-based testing, and related areas. Top-notch software engineering skills. We're looking for people who can turn cutting-edge research ideas into practical tools, and get these tools in use across the firm and beyond. Strong interpersonal skills. Software engineering at Jane Street is highly collaborative, and we're looking for people who can work effectively in small, close-knit teams. We are interested in exploring a wide variety of approaches. While we are eager to integrate new tools into our existing infrastructure, no previous experience with OCaml or functional programming is required. Why do it here? The whole world is thinking about what agents mean for the future of programming, and there's no shortage of efforts trying to mix formal methods and agents. But think there are things about Jane Street that make this a unique opportunity. First, we have deep control of the language we're using, which lets us shape it into a better home for proof-oriented techniques. We can adjust the language and the proof system at the same time in ways that aren't possible when you have to take the language as given. Second, we have a community of programmers who are eager to adopt new tools, and have the right intellectual toolkit to do so. That community is an unparalleled source of both feedback and leverage for the work we do here. We're in the early stages of building this team, with an enormous amount of work ahead of us, and we'd love you to be a part of it. If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.", "summaryDescription" : "Formal Methods Engineer at Jane Street. Skills: Formal methods, Software engineering. Establish a new Formal Methods team. Provide feedback for agents", "postedDate" : "2026-06-12T22:24:58.847", "createdAt" : "2026-06-12T22:24:58.847", "lastUpdated" : "2026-06-15T02:29:56.348", "ingestTimestamp" : "2026-06-12T22:24:58.847", "mongoId" : "6a2c5f4474d8ee00a08ea7c0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Formal methods", "Interactive proof assistants", "Automated theorem provers", "Static analysis", "Refinement types", "Program logics", "Property-based testing", "Software engineering", "Research", "Agentic programming" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software-engineering", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c5f4474d8ee00a08ea7bf", "title" : "Formal Methods Engineer", "company" : "Jane Street", "salary" : { "min" : 200000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Formal Methods Engineer in New York, adjusted for the technology industry and a leading quantitative trading firm." }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T01:07:24.569", "fingerprint" : "a0e13377f650bcdd9a444af415b6ed5f5df9a52f17bc244170f67aa036962f94", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/janestreet/jobs/8585303002", "externalId" : "8585303002", "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", "technicalSkills" : "Formal methods, Interactive proof assistants, Automated theorem provers, Static analysis, Refinement types, Program logics, Property-based testing", "professionalSkills" : [ "Software engineering", "Research" ], "hardSkillsList" : [ "Formal methods", "Interactive proof", "Theorem proving", "Static analysis", "Refinement types", "Program logics", "Property-based testing" ], "hardSkills" : [ { "name" : "Formal methods", "level" : "intermediate" }, { "name" : "Interactive proof", "level" : "intermediate" }, { "name" : "Theorem proving", "level" : "intermediate" }, { "name" : "Static analysis", "level" : "intermediate" }, { "name" : "Refinement types", "level" : "intermediate" }, { "name" : "Program logics", "level" : "intermediate" }, { "name" : "Property-based testing", "level" : "intermediate" } ], "majorSkills" : "Formal methods, Software engineering, Agentic programming", "majorSkillsList" : [ "Formal methods", "Software engineering", "Agentic programming" ], "coreResponsibilities" : "Establish a new Formal Methods team, Provide feedback for agents, Validate agent-generated code, Make formal methods useful, Leverage existing tools, Pursue novel approaches, Turn research ideas into practical tools, Get tools in use across the firm", "teamCollaboration" : "Small, close-knit teams", "domainKnowledge" : "Agentic programming", "domainList" : [ "agentic-programming" ], "domainSpecificKnowledge" : [ "Agentic programming" ], "innovationCreativity" : "Novel approaches", "qualificationsBasic" : "Deep experience with formal methods, Top-notch software engineering skills, Interpersonal skills", "qualificationsPreferred" : "Previous experience with OCaml, Previous experience with functional programming", "rawDescription" : "About the Position We're looking for software engineers and researchers to establish a new Formal Methods team at Jane Street. With the emergence of agentic programming, we think formal methods will play a major role in providing feedback for agents and helping validate agent-generated code. Our vision is to make formal methods as useful a tool for building software as type systems are for us today, both by leveraging existing tools and technology, and pursuing novel approaches. We're looking to build a new team with engineers who have: Deep experience with formal methods. There's no specific checklist. We're broadly interested in people with backgrounds in interactive proof assistants, automated theorem provers, static analysis, refinement types, program logics, property-based testing, and related areas. Top-notch software engineering skills. We're looking for people who can turn cutting-edge research ideas into practical tools, and get these tools in use across the firm and beyond. Strong interpersonal skills. Software engineering at Jane Street is highly collaborative, and we're looking for people who can work effectively in small, close-knit teams. We are interested in exploring a wide variety of approaches. While we are eager to integrate new tools into our existing infrastructure, no previous experience with OCaml or functional programming is required. Why do it here? The whole world is thinking about what agents mean for the future of programming, and there's no shortage of efforts trying to mix formal methods and agents. But think there are things about Jane Street that make this a unique opportunity. First, we have deep control of the language we're using, which lets us shape it into a better home for proof-oriented techniques. We can adjust the language and the proof system at the same time in ways that aren't possible when you have to take the language as given. Second, we have a community of programmers who are eager to adopt new tools, and have the right intellectual toolkit to do so. That community is an unparalleled source of both feedback and leverage for the work we do here. We're in the early stages of building this team, with an enormous amount of work ahead of us, and we'd love you to be a part of it.", "summaryDescription" : "Formal Methods Engineer at Jane Street. Skills: Formal methods, Software engineering, Agentic programming. Establish a new Formal Methods team. Provide feedback for agents", "postedDate" : "2026-06-12T22:14:18.411", "createdAt" : "2026-06-12T22:14:18.411", "lastUpdated" : "2026-06-15T01:07:24.569", "ingestTimestamp" : "2026-06-12T22:14:18.411", "mongoId" : "6a2c5f4474d8ee00a08ea7bf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Formal methods", "Interactive proof", "Theorem proving", "Static analysis", "Refinement types", "Program logics", "Property-based testing", "Software engineering", "Agentic programming", "Research" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software-engineering", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c2274d8ee00a094c65d", "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" ], "certifications" : [ "CFA" ], "timestamp" : "2026-06-15T07:14:36.772", "fingerprint" : "23f99dcaeae28cdf3eadb256f67fc80e83c18ce04f3c1a1bcf06a56004856462", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cclim/jobs/4223780009", "externalId" : "4223780009", "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", "technicalSkills" : "Python, R, Scala, Spark, SQL, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Process engineering", "Data analysis", "Data expertise", "Data quality assessment", "Data scrubbing", "Data integration", "Financial theory", "Economic models", "Corporate financial statements" ], "hardSkillsList" : [ "Quantitative analysis", "Statistical validation", "Process management systems", "Algorithmic construction", "Data validation", "Data analysis", "Time series analysis", "Regression", "Classification", "Clustering", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Analytical Mindset", "Collaborative Approach", "Time Management" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical validation", "level" : "intermediate" }, { "name" : "Process management systems", "level" : "intermediate" }, { "name" : "Algorithmic construction", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Time series analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical Mindset" }, { "name" : "Collaborative Approach" }, { "name" : "Time Management" } ], "majorSkills" : "Quantitative finance, Data science, Process engineering, Machine learning", "majorSkillsList" : [ "Quantitative finance", "Data science", "Process engineering", "Machine learning" ], "coreResponsibilities" : "Design production processes, Implement production processes, Test production processes, Design process orchestration, Monitor production health, Respond to critical issues, Communicate production issues, Identify computational bottlenecks, Improve run speeds, Collaborate with investment teams, Meet process needs, Evaluate process improvements, Assess data quality, Maintain process repos, Clean code, Construct algorithms, Run algorithms, Validate data sets, Design data loaders, Test data loaders, Perform data analysis, Provide data expertise, Facilitate ML pipelines, Audit ML pipelines, Analyze ML pipelines, Enable accessibility, Clarify data assets, Scrub data, Develop methodologies, Assess data, Analyze data, Respond to vendor data issues, Mitigate vendor data issues, Integrate data, Present findings, Present recommendations", "teamCollaboration" : "Cross-functional teams; 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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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, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca63274d8ee00a09ba128", "title" : "Associate Director, Engineering Sciences", "company" : "Secretariat", "industry" : "Consulting", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Associate Director, Engineering Sciences in Atlanta, United States, adjusted for Director seniority and the consulting industry." }, "location" : "Atlanta, Georgia, United States", "locations" : [ "Atlanta", "Georgia", "United States" ], "timestamp" : "2026-06-16T00:37:10.175", "fingerprint" : "8cf5d2b6905009baa0664bd4a82f9496cc2ad434c4b8c4f672a03ad7fd7c3cfa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/secretariatadvisorsllc/jobs/4284863009", "externalId" : "4284863009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "minimumEducation" : "Master's", "experienceLevel" : "Director", "professionalSkills" : [ "Business development", "Project management", "Staff recruitment", "Staff mentoring" ], "hardSkillsList" : [ "Expert report writing", "Analytical skills", "Problem-solving" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Expert report writing", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Engineering Sciences, Failure analysis, Consulting", "majorSkillsList" : [ "Engineering Sciences", "Failure analysis", "Consulting" ], "coreResponsibilities" : "Attract new business opportunities, Contribute to practice growth, Recruit talented staff, Mentor staff, Drive staff growth, Provide project management, Provide project budget oversight", "projectManagementSkills" : [ "Project management", "Budget oversight" ], "domainKnowledge" : "Materials Science Engineering; Chemical Engineering; Large industrial facilities; Power plants; Oil & Gas facilities; Chemical processing plants; Construction; Automotive; Consumer products; Consumer electronics; Medical devices; Thermal practice", "domainList" : [ "materials-science-engineering", "chemical-engineering", "large-industrial-facilities", "power-plants", "oil-gas-facilities", "chemical-processing-plants", "construction", "automotive", "consumer-products", "consumer-electronics", "medical-devices", "thermal-practice" ], "domainSpecificKnowledge" : [ "Materials Science Engineering", "Chemical Engineering", "Large industrial facilities", "Power plants", "Oil & Gas facilities", "Chemical processing plants", "Construction", "Automotive", "Consumer products", "Consumer electronics", "Medical devices", "Thermal practice" ], "communicationSkills" : "Verbal communication; Written communication; Technical communication; Presentation skills", "documentationSkills" : "Expert report writing", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "5+ years of work experience, PhD or MS degree, Excellent verbal and written communication, Previously testified in deposition, trial, arbitration or hearings, Excellent expert report writing skills, Excellent analytical and problem-solving abilities, Excellent listening, verbal, written, technical, and presentation skills", "qualificationsPreferred" : "Established track record for business development, Existing client-base", "remoteFriendly" : false, "rawDescription" : "Chart Your Journey at Secretariat From a collaborative culture to teammates who will always be by your side, find a career that will grow with you. Deliver your impact at Secretariat. ABOUT THE FIRM Secretariat professionals are trusted in the highest-stakes legal, risk, and regulatory matters around the world. When you join Secretariat, you become part of a rapidly growing elite team of bright minds and passionate problem-solvers. Your skills and expertise will be utilized on day one – working with the world’s most renowned law firms, leading corporations, and influential institutions to answer complex questions that shape critical financial, economic, and strategic business decisions. Our globally integrated teams are united by the ambition, energy, and commitment they bring to every challenge. We inspire and empower an open, collaborative culture that embraces ongoing professional development, recognition, diversity, and – most importantly – you. Make your impact at Secretariat. ABOUT OUR ENGINEERING SCIENCES TEAM As part of our expanding Global Engineering and Scientific consulting team, you will work at the forefront of today’s most complex engineering challenges. You will be engaged in analyzing failures of a myriad of products from a variety of industries, but with a heavy focus on large industrial facilities like power plants, Oil & Gas facilities, chemical processing plants, construction, and similar. Outside of that work, you will be engaged in automotive, consumer products, consumer electronics, and medical devices. Secretariat leverages our diverse technical expertise and industry knowledge of a variety of structures and products to provide clients with world-class value to identify solutions that drive performance and safety. Secretariat is a diversified international expert services firm with more than 500 professionals in 20+ cities around the globe. Furthermore, Secretariat was recently ranked as the #1 firm in Global Arbitration Review’s prestigious GAR 100 Expert Witness Firms’ Power Index, and more than 90% of Secretariat’s leading experts are recognized as leading experts in their field by the independent Lexology rankings. RESPONSIBILITIES Exceptional analytical skills, problem solving, communication skills, and creativity are the foundation for successful professionals at Secretariat. Attracting and winning new business opportunities for Secretariat in both expert witness and or strategic consulting Contributing to the growth of Secretariat’s Thermal practice by recruiting talented staff Mentoring and driving growth of Thermal staff Providing project management and project budget oversight QUALIFICATIONS Established track record for business development and existing client-base Requisite professional degrees and ~ 5+ years of work experience: PhD or MS degree in Materials Science Engineering, Chemical Engineering, or similar Excellent verbal and written communication Have previously testified in deposition, trial, arbitration or hearings Excellent expert report writing skills to complement analytics Excellent analytical and problem-solving abilities Excellent listening, verbal, written, technical, and presentation skills The desire to lead, auxiliary tasks associated with a growing practice within a rapidly growing firm A rewarding career above all There are a lot of fine consulting firms out there. But when everything is on the line, it takes a unique combination of skill and savvy to succeed under pressure. Our culture and people are driven by passion, pride, and performance. Passion for the clients we serve, the work we deliver, and the communities we live in. Pride in our cohesive team recognized for excellence and trusted to perform in the most challenging situations. And our track record of outstanding performance across all of our disciplines speaks for itself. Our people are motivated to be the best in everything they do – from our approach to making the complex simple to the way we mentor our up-and-coming talent to become trusted experts early in their careers. To learn how Secretariat collects, uses, and protects your personal information during the recruitment process, please review our Privacy Policy", "summaryDescription" : "Associate Director, Engineering Sciences at Secretariat. Skills: Engineering Sciences, Failure analysis, Consulting. Attract new business opportunities. Contribute to practice growth", "postedDate" : "2026-06-14T20:09:49.243", "createdAt" : "2026-06-14T20:09:49.243", "lastUpdated" : "2026-06-16T00:37:10.175", "ingestTimestamp" : "2026-06-14T20:09:49.243", "mongoId" : "6a2ca63274d8ee00a09ba128", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Expert report writing", "Analytical skills", "Problem-solving", "Leadership", "Engineering Sciences", "Failure analysis", "Consulting", "Business development", "Project management", "Staff recruitment", "Staff mentoring", "Budget oversight", "Materials Science Engineering", "Chemical Engineering", "Large industrial facilities", "Power plants", "Oil & Gas facilities", "Chemical processing plants", "Construction", "Automotive", "Consumer products", "Consumer electronics", "Medical devices", "Thermal practice" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "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. Provide analytic solutions", "createdAt" : "2026-06-14T00:47:29.049", "lastUpdated" : "2026-06-15T08:02:58.393", "ingestTimestamp" : "2026-06-14T00:47:29.049", "mongoId" : "69fc49a74c40e2acd1a83413", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Predictive modeling", "Statistical analysis", "Generalized regression", "Survival analysis", "Sampling design", "Hypothesis testing", "Stochastic processes", "Quantitative modeling", "Credit risk", "Machine Learning", "Model development", "Model implementation", "Model monitoring", "Data quality validation", "Credit bureau data", "Regulatory requirements", "Market trends", "Financial industry", "Auto industry" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6cd574d8ee00a091bab7", "title" : "Quantitative Product Development Engineer", "company" : "Metabit Technology LLC", "industry" : "FinTech", "salary" : { "min" : 480000.0, "max" : 720000.0, "currency" : "HKD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Quantitative Product Development Engineer in FinTech in Hong Kong, adjusted for entry-level experience and company size." }, "location" : "Hong Kong", "locations" : [ "Hong Kong" ], "timestamp" : "2026-06-15T05:28:03.400", "fingerprint" : "73bbbe8cfdceac1356aa821169c29866ce189c7665fdbcb844c071fb9b9c4ec7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/metabittechnologyllc/jobs/4265918009", "externalId" : "4265918009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hong Kong", "country" : "Hong Kong", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "22.2818333,114.1582831" } ], "locationText" : "Hong Kong, Hong Kong", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "C++, Python, Java, Go, Rust", "professionalSkills" : [ "System design", "Technical excellence" ], "hardSkillsList" : [ "Quantitative trading" ], "hardSkills" : [ { "name" : "Quantitative trading", "level" : "intermediate" } ], "majorSkills" : "Equity trading, Futures trading, Strategy deployment", "majorSkillsList" : [ "Equity trading", "Futures trading", "Strategy deployment" ], "coreResponsibilities" : "Develop trading products, Maintain trading products, Improve online service quality, Assume ownership of reliability, Collaborate with Quantitative Researchers, Facilitate deployment of strategies, Facilitate iteration of strategies, Ensure strategies execute efficiently, Generate substantial returns, Guarantee stable operation, Manage production incidents, Address critical emergency situations, Optimize system performance, Optimize computation performance, Optimize storage performance, Optimize networking performance, Optimize hardware resources performance", "teamCollaboration" : "Collaborate with Quantitative Researchers", "domainKnowledge" : "Equity trading; Futures trading; Financial trading systems; Post-trade workflow", "domainList" : [ "equity-trading", "futures-trading", "financial-trading-systems", "post-trade-workflow" ], "domainSpecificKnowledge" : [ "Equity trading", "Futures trading", "Financial trading systems", "Post-trade workflow" ], "toolProficiency" : [ "Git", "Code review", "CI/CD" ], "communicationSkills" : "Fluent in Chinese; Fluent in English", "outcomesObjectives" : "Generate substantial returns", "qualificationsBasic" : "Bachelor's degree or higher, Minimum of 2 years experience, Proficiency in Linux, Proficiency in C++, Proficiency in scripting language, Proficiency in Python 3, Proficiency in strongly typed language, Familiarity with production lifecycle, Familiarity with service reliability, Familiarity with Git, Familiarity with code review, Familiarity with CI/CD, Adept at building developer tools", "qualificationsPreferred" : "Award winners in ACM/ICPC, Award winners in NOI/NOIP, Experience maintaining mission-critical products, System design capabilities, Experience in financial trading systems, Experience in post-trade workflow development", "rawDescription" : "Responsibilities Deeply participate in the development and maintenance of equity and futures trading products. 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. Skills: Equity trading, Futures trading, Strategy deployment. Develop trading products. Maintain trading products", "postedDate" : "2026-06-14T05:29:48.316", "createdAt" : "2026-06-14T05:29:48.316", "lastUpdated" : "2026-06-15T05:28:03.400", "ingestTimestamp" : "2026-06-14T05:29:48.316", "mongoId" : "6a2c6cd574d8ee00a091bab7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Quantitative trading", "Equity trading", "Futures trading", "Strategy deployment", "System design", "Technical excellence", "Financial trading systems", "Post-trade workflow", "Git", "Code review", "CI/CD" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b5a74d8ee00a0911991", "title" : "In Home Caregiver/Home Health Aide", "company" : "BAYADA Home Health Care", "industry" : "Healthcare", "salary" : { "min" : 16.0, "max" : 17.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Assistive Care - State Programs - Field", "locations" : [ "Assistive Care - State Programs - Field", "Field" ], "certifications" : [ "DSP", "Caregiver", "PCA", "HHA", "CNA" ], "timestamp" : "2026-06-15T10:12:22.605", "fingerprint" : "7bf8216b8987ff2d3180af57ea76948cba094649d4a79f812e73453777351f21", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/bayada/jobs/8588187002", "externalId" : "8588187002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Buffalo", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6435290,-93.0919998" } ], "locationText" : "Buffalo, Missouri, United States", "employmentType" : "PART_TIME", "hardSkillsList" : [ "Vital sign checks", "Range of motion", "Oral feeding", "Nail care" ], "hardSkills" : [ { "name" : "Vital sign checks", "level" : "intermediate" }, { "name" : "Range of motion", "level" : "intermediate" }, { "name" : "Oral feeding", "level" : "intermediate" }, { "name" : "Nail care", "level" : "intermediate" } ], "majorSkills" : "Patient care", "majorSkillsList" : [ "Patient care" ], "coreResponsibilities" : "Provide compassionate support, Provide reliable support, Assist with activities of daily living, Perform light housekeeping, Assist with bathing, Assist with dressing, Assist with grooming, Assist with toileting, Perform nail care, Assist with range of motion, Assist with exercises, Assist with transfers, Assist with mechanical lifting devices, Perform vital sign checks, Assist with oral feeding, Perform home management tasks, Assist with laundry, Assist with meal preparation, Assist with bed making, Assist with ambulation, Provide medication assistance", "domainKnowledge" : "Home health care; Activities of daily living", "domainList" : [ "home-health-care", "activities-of-daily-living" ], "domainSpecificKnowledge" : [ "Home health care", "Activities of daily living" ], "continuousLearning" : "Training", "specialRequirements" : "Part Time Hours, PRN/Fill-In's", "qualificationsBasic" : "Active MO CNA license", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Looking for more than just a job? Whether you’re a DSP, Caregiver, PCA, HHA, or CNA—you can grow your skills with in home care while making a difference 1:1 with clients! We are actively hiring Direct Support Professionals (DSP), Caregivers, Personal Care Aides (PCA), Home Health Aides (HHA) and Certified Nurses Aides (CNA) to provide compassionate, reliable support to patients in the following areas: Buffalo, MO DSP/PCA/HHA/Caregiver - $16.00/hr Active MO CNA - $17.00/hr *available hours to vary by location. Currently looking to staff Part Time Hours* + PRN/Fill-In's with potential to build up additional hours. Flexible scheduling Weekly Pay Discover Rewarding Work - Are you looking for a meaningful career, where you can make a difference in the lives of others—and yours as well? At Integrity/BAYADA, we seek people who share our passion for caring and are committed to helping people live their best lives at home. You will do truly meaningful work—and be valued, respected, and heard. While you support clients one-on-one with activities of daily living, we’ll support you with training, flexibility, and a team dedicated to creating a great employee experience. What we offer our CNA/HHA/DSP/PCA's & Caregivers - Weekly pay Flexible scheduling to fit your lifestyle Short commute times – we try to match you to opportunities near your home Positive work environment and the tools you need to do your job A stable working environment – we invest in our care team Paid time off (PTO)* Health Benefits * Job Responsibilities for CNA/HHA/DSP/PCA's & Caregivers - Activities of daily living [ADL's] Light housekeeping Bathing Dressing Grooming Toileting Nail care Range of motion / exercises Transfers /use of mechanical lifting devices Oral feeding Vital sign checks: temperature, pulse, respiration Home Management Tasks: laundry, meal preparation, bed making etc. Assisting with ambulation Medication assistance Join our caring team today! As an accredited, regulated, certified, and licensed home health care provider, BAYADA complies with all state/local mandates. BAYADA is celebrating 50 years of compassion, excellence, and reliability. Learn more about our 50th anniversary celebration and how you can join in here. BAYADA Home Health Care, Inc., and its associated entities and joint venture partners, are Equal Opportunity Employers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, age, disability, pregnancy or maternity, sexual orientation, gender identity, citizenship status, military status, or any other similarly protected status in accordance with federal, state and local laws. Hence, we strongly encourage applications from people with these identities or who are members of other marginalized communities.", "summaryDescription" : "In Home Caregiver/Home Health Aide at BAYADA Home Health Care. Skills: Patient care. Provide compassionate support. Provide reliable support", "postedDate" : "2026-06-14T07:59:20.800", "createdAt" : "2026-06-14T07:59:20.800", "lastUpdated" : "2026-06-15T10:12:22.605", "ingestTimestamp" : "2026-06-14T07:59:20.800", "mongoId" : "6a2c6b5a74d8ee00a0911991", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 33280, "salaryAnnualMax" : 35360, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Vital sign checks", "Range of motion", "Oral feeding", "Nail care", "Patient care", "Home health care", "Activities of daily living", "DSP", "Caregiver", "PCA", "HHA", "CNA" ], "skillCount" : 12, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f7bf292fd229c059dce", "title" : "Senior Product Quantitative Researcher, Cloud Security", "industry" : "Cybersecurity", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Quantitative Researcher in Seattle, adjusted for the technology industry and senior experience level." }, "location" : "[Seattle, WA, USA, [Seattle, WA, USA], Seattle, null, WA, US]", "locations" : [ "[Seattle, WA, USA, [Seattle, WA, USA], Seattle, null, WA, US]", "[Sunnyvale, CA, USA, [Sunnyvale, CA, USA], Sunnyvale, null, CA, US]" ], "timestamp" : "2026-06-16T12:01:16.494", "fingerprint" : "0940d5d15d8053e7be136776c68e5de4d622fbba139a2457d359d3090e86ac22", "source" : "google", "language" : "en", "externalId" : "95723233260511942", "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", 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235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior UX Quantitative Researcher in San Jose, USA, adjusted for the technology industry and senior experience level." }, "location" : "[San Jose, CA, USA, [San Jose, CA, USA], San Jose, null, CA, US]", "locations" : [ "[San Jose, CA, USA, [San Jose, CA, USA], San Jose, null, CA, US]", "[Miami, FL, USA, [Miami, FL, USA], Miami, null, FL, US]", "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]", "[San Francisco, CA, USA, [San Francisco, CA, USA], San Francisco, null, CA, US]" ], "timestamp" : "2026-06-16T11:48:01.615", "fingerprint" : "71c214de16a46096e37f0e56c83de01597612779cc7a421bb5cc804911eb1c09", "source" : "google", "language" : "en", "externalId" : "90812410503275206", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Jose", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3361663,-121.8905910" } ], "locationText" : "San Jose, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "summaryDescription" : "Senior UX Quantitative Researcher, Human Factors", "postedDate" : "2026-06-16T01:48:31.315", "createdAt" : "2026-06-16T01:48:31.315", "lastUpdated" : "2026-06-16T11:48:01.615", "ingestTimestamp" : "2026-06-16T01:48:31.315", "mongoId" : "6a210e4d74d8ee00a0af6c65", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b1a74d8ee00a0910403", "title" : "Quantitative Researcher - Deep Learning", "company" : "XTX Markets", "industry" : "FinTech", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Quantitative Researcher in FinTech in London, UK, adjusted for company size and industry." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-15T13:20:22.233", "fingerprint" : "c609b569ead99a4f801b7c654f23ddec92e724cf64d212180fcb95f9e62381d7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xtxmarketstechnologies/jobs/7770152003", "externalId" : "7770152003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Python, R, Scala, Spark, SQL, Deep learning, Machine learning, Statistics, Mathematics, Computer science, Physics", "professionalSkills" : [ "Research taste", "Mathematical depth", "Modelling practical", "Experimental taste", "Hypothesis formation", "Test design", "Ambiguous results reading", "Evidence interpretation", "Intellectual honesty" ], "hardSkillsList" : [ "Time-series prediction", "Cross-sectional prediction", "Representation improvement", "Objective improvement", "Optimization improvement", "Regularisation improvement", "Uncertainty estimation", "Evaluation methods", "Scaling improvement", "Robustness improvement", "Distribution shift handling", "Market feedback integration" ], "hardSkills" : [ { "name" : "Time-series prediction", "level" : "intermediate" }, { "name" : "Cross-sectional prediction", "level" : "intermediate" }, { "name" : "Representation improvement", "level" : "intermediate" }, { "name" : "Objective improvement", "level" : "intermediate" }, { "name" : "Optimization improvement", "level" : "intermediate" }, { "name" : "Regularisation improvement", "level" : "intermediate" }, { "name" : "Uncertainty estimation", "level" : "intermediate" }, { "name" : "Evaluation methods", "level" : "intermediate" }, { "name" : "Scaling improvement", "level" : "intermediate" }, { "name" : "Robustness improvement", "level" : "intermediate" }, { "name" : "Distribution shift handling", "level" : "intermediate" }, { "name" : "Market feedback integration", "level" : "intermediate" } ], "majorSkills" : "Deep learning, ML research, Forecasting systems, Modelling", "majorSkillsList" : [ "Deep learning", "ML research", "Forecasting systems", "Modelling" ], "coreResponsibilities" : "Do original research, Improve forecasting systems, Improve trading systems, Design deep learning models, Train deep learning models, Improve representations, Improve objectives, Improve optimisation, Improve regularisation, Improve uncertainty estimates, Improve evaluation methods, Improve scaling, Make models robust, Work with engineers, Work with technologists, Turn research into production, Learn market structure, Ask better modelling questions", "teamCollaboration" : "Flat team; 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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Multidisciplinary teams; International teams", "domainKnowledge" : "Manufacturing processes; Industrial sequencing; Digital continuity; Co-Design; Co-Industrialization; PFMEA; AMDEC; MTM methodologies; REFA methodologies; Gemba culture", "domainList" : [ "manufacturing-processes", "industrial-sequencing", "digital-continuity", "co-design", "co-industrialization", "pfmea", "amdec", "mtm-methodologies", "refa-methodologies", "gemba-culture" ], "domainSpecificKnowledge" : [ "Manufacturing processes", "Industrial sequencing", "Digital continuity", "Co-Design", "Co-Industrialization", "PFMEA", "AMDEC", "MTM methodologies", "REFA methodologies", "Gemba culture" ], "toolProficiency" : [ "MFT", "Digital mockup" ], "communicationSkills" : "Technical documentation; Drawings", "documentationSkills" : "Work instructions; Technical documentation; Drawings", "continuousLearning" : "Upskilling opportunities; Development prospects; E-learning courses; Certifications; Expert career path; Accelerated development programmes; National mobility; International mobility", "innovationCreativity" : "Foster flexible working arrangements", "problemSolvingSkills" : "Risk analyses; Non-conformities; Manufacturing engineering issues", "qualificationsBasic" : "3 to 5 years manufacturing/methods engineering experience, Industrial Engineering, Mechanical Engineering, or Production/Manufacturing Engineering background, Professional fluency in English, Professional fluency in French", "qualificationsPreferred" : "Aerospace industry experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "****Job Description:**** **Airbus Commercial Aircraft** is looking for a**Methods Technician (m/f)** to join our Manufacturing Engineering**department in Toulouse.** You will join the multi-programme organization within an integrated team that has a global vision of design, industrialization, and shopfloor execution support. We are looking for a versatile engineer, expert in manufacturing processes and industrial sequencing, to support the digital transformation (3D, digital continuity), drive Co-Design / Co-Industrialization initiatives, and thrive in a technological, multicultural, and transnational environment. **Your working environment:** Global capital of aeronautics and European capital for space research, Toulouse is a dynamic city in the southwest of France served by an international airport. Ideally located between the Mediterranean sea and the Atlantic ocean and close to the Pyrenees mountains, it offers plenty of options for outdoor activities! **How we care for you:** * **Financial rewards:** Attractive salary, agreements on success and profit sharing schemes, employee savings plan abounded by Airbus and employee stock purchase plan on a voluntary basis. * **Work / Life Balance:** Extra days-off for special occasions, holiday transfer option, a Staff council offering many social, cultural and sport activities and other services. * **Wellbeing / Health:** Complementary health insurance coverage (disability, invalidity, death). Depending on the site: health services center, concierge services, gym, carpooling application**.** * **Individual development:** Great upskilling opportunities and development prospects with unlimited access to +10.000 e-learning courses to develop your employability, certifications, expert career path, accelerated development programmes, national and international mobility. At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking. **Your challenges:** * Collaborate upstream with the Engineering Department (Bureau d'Études) and Industrial Architecture to integrate production constraints, optimize costs, and standardize best practices right from the design phase. * Structure and update manufacturing routings, the production bill of materials (As-Prepared BoM), and work instructions (2D/3D SOI), while defining technical sequences and the required headcount (number of operators). * Define and issue requests for Jigs & Tools, CNC (Computer Numerical Control) programs, and necessary measurement systems, while validating technical documentation and drawings. * Lead risk analyses (PFMEA / AMDEC), manage non-conformities (design, production, suppliers), and initiate the First Article Inspection (FAI) process to ensure process robustness. * Calculate and optimize manufacturing times (via MTM, REFA methodologies), conduct regular feedback loops on the shopfloor (Gemba), and resolve complex manufacturing engineering issues escalated by technical support. **Your boarding pass:** * Background in Industrial Engineering, Mechanical Engineering, or Production / Manufacturing Engineering. * A minimum of 3 to 5 years of experience in a similar manufacturing/methods engineering role, ideally within the aerospace industry. * Proficiency in building routings/BoMs, risk analysis tools (PFMEA/AMDEC), industrial time calculation (MTM/REFA), and CAD/PLM tools (MFT, digital mockup). * Strong collaborative spirit for working in multidisciplinary and international teams, excellent communication skills, a pragmatic hands-on approach (Gemba culture), and the ability to drive change. * Professional fluency in English and French (mandatory for the international work environment and daily shopfloor support in Toulouse). Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions. Take your career to a new level and apply[ _online_](https://www.airbus.com/en/careers) now! **#LI-YL1** This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. ********Company:******** Airbus Operations SAS **Employment Type:** Permanent \\------- Classe Emploi (France): Classe E09 **Experience Level:** Professional **Job Family:** Manufacturing Engineering By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [emsom@airbus.com](mailto:emsom@airbus.com). At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.", "summaryDescription" : "Methods Technician (m/f) at Airbus Operations SAS. Skills: Manufacturing Engineering, Process Optimization, Digital Transformation. Integrate production constraints. Optimize costs", "postedDate" : "2026-06-12T18:56:08.130", "createdAt" : "2026-06-14T18:56:08.126", "lastUpdated" : "2026-06-16T01:06:45.384", "ingestTimestamp" : "2026-06-14T18:56:08.126", "mongoId" : "6a2d8efc74d8ee00a0c318e3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://ag.wd3.myworkdayjobs.com/Airbus/job/Toulouse-Area/Ingnieur-Procds--h-f-_JR10386025", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Manufacturing processes", "As-Prepared BoM", "Work instructions", "Jigs & Tools", "CNC programs", "Measurement systems", "First Article Inspection", "Manufacturing Engineering", "Process Optimization", "Digital Transformation", "Industrial sequencing", "Cost optimization", "Best practice standardization", "Technical documentation", "Risk analysis", "Non-conformity management", "Process robustness", "Manufacturing time calculation", "Feedback loops", "Manufacturing engineering issues", "Digital continuity", "Co-Design", "Co-Industrialization", "PFMEA", "AMDEC", "MTM methodologies", "REFA methodologies", "Gemba culture", "MFT", "Digital mockup" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7fe674d8ee00a0956d12", "title" : "Associate/AVP, Quantitative Strategies Group", "company" : "Cross River", "industry" : "Banking", "salary" : { "min" : 150000.0, "max" : 190000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Fort Lee, New Jersey, United States", "locations" : [ "Fort Lee", "New Jersey", "United States" ], "timestamp" : "2026-06-16T03:27:15.846", "fingerprint" : "4f97d293c1f8b38069b3ea3bc93c6b9f40783a060390e5524c40c2a045012cdc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.crossriver.com/greenhouse?gh_jid=7770430003", "externalId" : "7770430003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fort Lee", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.8509333,-73.9701382" } ], "locationText" : "Fort Lee, New Jersey, United States", "employmentType" : "FULL_TIME", "rawDescription" : "Who We Are Cross River builds the infrastructure behind the world’s most innovative financial products. 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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c6b9774d8ee00a09136ea", "title" : "Senior Associate, Design - Life Sciences", "company" : "Unispace", "industry" : "Real Estate", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Associate, Design in the Real Estate industry in New York, adjusted for seniority and company size." }, "location" : "New York, United States", "locations" : [ "New York", "United States" ], "timestamp" : "2026-06-15T22:48:39.615", "fingerprint" : "988b8965fe03920e3a4ba69a169b4f0e811e635bc1ef4e0514f2a52714f3d949", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/unispace/jobs/5989977004", "externalId" : "5989977004", "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", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Revit, CAD, Adobe Suite, Excel", "professionalSkills" : [ "Lab planning", "Programming", "Technical coordination", "Design solutions", "Regulatory standards", "Construction administration", "QA/QC processes", "Design concepts", "Design excellence" ], "hardSkillsList" : [ "Laboratory design", "Technical documentation", "Design coordination" ], "hardSkills" : [ { "name" : "Laboratory design", "level" : "intermediate" }, { "name" : "Technical documentation", "level" : "intermediate" }, { "name" : "Design coordination", "level" : "intermediate" } ], "majorSkills" : "Life Sciences design, Laboratory planning, Construction documentation", "majorSkillsList" : [ "Life Sciences design", "Laboratory planning", "Construction documentation" ], "coreResponsibilities" : "Lead and deliver design packages, Plan and develop laboratory environments, Collaborate closely with clients, Translate requirements into design solutions, Work in partnership with Design Principals, Deliver Unispace’s integrated methodology, Produce and coordinate technical design documentation, Ensure alignment with building codes, Ensure alignment with regulatory standards, Support construction administration, Ensure design intent is maintained, Apply QA/QC processes, Coordinate with consultants, Coordinate with engineers, Coordinate with delivery teams, Resolve technical challenges, Drive project outcomes, Develop design concepts, Present design concepts to clients, Present design concepts to stakeholders, Contribute to a culture of creativity, Contribute to a culture of collaboration, Contribute to a culture of continuous improvement", "teamCollaboration" : "Integrated teams; Multidisciplinary teams; Global teams; Design teams; Planning teams; Delivery teams", "domainKnowledge" : "Life Sciences; Laboratory environments; Technical requirements; Regulatory requirements; Building codes", "domainList" : [ "life-sciences", "laboratory-environments", "technical-requirements", "regulatory-requirements", "building-codes" ], "domainSpecificKnowledge" : [ "Life Sciences", "Laboratory environments", "Technical requirements", "Regulatory requirements", "Building codes" ], "toolProficiency" : [ "Revit", "CAD", "Adobe Suite", "Excel" ], "communicationSkills" : "Client presentations; Design storytelling; Present design concepts", "documentationSkills" : "Construction documentation", "innovationCreativity" : "Innovative design solutions", "problemSolvingSkills" : "Solve complex challenges", "outcomesObjectives" : "Delivery of high-quality design solutions; Delivery of compliant design solutions; Delivery of innovative design solutions; Accuracy of construction documentation; Coordination of construction documentation; Effective collaboration across teams; Positive client feedback; Contribution to client relationships; Independently manage design scopes; Support project delivery; Consistent application of QA/QC standards; Contribution to team culture; Contribution to knowledge sharing; Contribution to design excellence", "qualificationsBasic" : "5–8 years of experience in Life Sciences, laboratory or technical design environments, Understanding of laboratory planning, programming and design principles, Knowledge of technical and regulatory requirements for lab and workplace environments, Experience producing and coordinating construction documentation, Proficiency in Revit, Proficiency in other design tools (CAD, Adobe Suite, Excel), Communication skills, Presentation skills, Ability to work effectively within multidisciplinary, integrated teams, Experience contributing to client presentations and design storytelling", "qualificationsPreferred" : "Exposure to corporate or campus-scale projects is beneficial", "workSiteFlexibility" : "Onsite", "rawDescription" : "At Unispace, we create spaces that empower people and businesses to thrive. We are a global design-build partner delivering workplace and life sciences projects for some of the world’s most innovative brands. With over 500 people across four continents, we bring together strategy, design, project management, and delivery into one seamless experience. Our integrated approach enables us to move with agility, solve complex challenges, and deliver meaningful outcomes for our clients. Our people are at the centre of everything we do. We foster a collaborative, inclusive culture that values curiosity, accountability, creativity, and continuous improvement. We believe diverse perspectives strengthen our teams and help us create better experiences for our clients and each other. At Unispace, you’ll have the opportunity to contribute to impactful projects, work alongside talented global teams, and grow your career in an environment that encourages innovation and new ideas. Why you’re here You’re an experienced and confident Life Sciences designer ready to take the next step—owning key design packages, contributing to client relationships, and helping shape high-quality, technically complex environments. You bring strong lab planning expertise, thrive in integrated teams, and are passionate about delivering innovative, functional design solutions that meet both client and regulatory requirements. What you’re responsible for Lead and deliver design packages across projects of varying scale, supporting end-to-end project execution Plan and develop laboratory environments, including programming, layouts and technical coordination Collaborate closely with clients to understand requirements and translate them into effective design solutions Work in partnership with Design Principals and multidisciplinary teams to deliver Unispace’s integrated methodology Produce and coordinate technical design documentation, ensuring alignment with building codes and regulatory standards Support construction administration, ensuring design intent is maintained through delivery Apply QA/QC processes to ensure accuracy, consistency and quality across all design outputs Coordinate with consultants, engineers and delivery teams to resolve technical challenges and drive project outcomes Develop and present design concepts clearly and confidently to clients and stakeholders Contribute to a culture of creativity, collaboration and continuous improvement How we’ll measure it Delivery of high-quality, compliant and innovative design solutions Accuracy and coordination of construction documentation Effective collaboration across design, planning and delivery teams Positive client feedback and contribution to strong client relationships Ability to independently manage design scopes and support project delivery Consistent application of QA/QC standards Contribution to team culture, knowledge sharing and design excellence Your experience & skills 5–8 years of experience in Life Sciences, laboratory or technical design environments Strong understanding of laboratory planning, programming and design principles Knowledge of technical and regulatory requirements for lab and workplace environments Experience producing and coordinating construction documentation Proficiency in Revit and other design tools (CAD, Adobe Suite, Excel) Strong communication and presentation skills Ability to work effectively within multidisciplinary, integrated teams Experience contributing to client presentations and design storytelling Exposure to corporate or campus-scale projects is beneficial What We Will Offer You’ll gain exposure to the design and construction industry in an agile and collaborative global firm. This is a great opportunity to work within a friendly, design-oriented, and creative culture while growing your career. Sound like you? Don’t wait, send us your resume and portfolio ! The statements on the job description are intended to describe the general nature and level of work being performed by the person(s) assigned to do this job. The job description is not intended to be an exhaustive list of all responsibilities and duties required. The statements in this job description are intended to describe the general nature and level of work being performed by individuals assigned to this role. They are not intended to be an exhaustive list of all responsibilities, duties, or skills required. We encourage applications from individuals of all backgrounds and experiences and are committed to providing reasonable accommodations throughout the recruitment process and employment lifecycle where required by applicable law. Inclusion & Diversity At Unispace, we believe diverse perspectives strengthen our teams, our culture, and the work we deliver for our clients. We are committed to fostering an inclusive workplace where everyone is treated with respect and has the opportunity to thrive. Employment decisions are based on qualifications, merit, and business needs, in accordance with applicable local laws and regulations.", "summaryDescription" : "Senior Associate, Design - Life Sciences at Unispace. Skills: Life Sciences design, Laboratory planning, Construction documentation. Lead and deliver design packages. Plan and develop laboratory environments", "postedDate" : "2026-06-14T19:17:30.329", "createdAt" : "2026-06-14T19:17:30.329", "lastUpdated" : "2026-06-15T22:48:39.615", "ingestTimestamp" : "2026-06-14T19:17:30.329", "mongoId" : "6a2c6b9774d8ee00a09136ea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Laboratory design", "Technical documentation", "Design coordination", "Life Sciences design", "Laboratory planning", "Construction documentation", "Lab planning", "Programming", "Technical coordination", "Design solutions", "Regulatory standards", "Construction administration", "QA/QC processes", "Design concepts", "Design excellence", "Life Sciences", "Laboratory environments", "Technical requirements", "Regulatory requirements", "Building codes", "Revit", "CAD", "Adobe Suite", "Excel" ], "skillCount" : 24, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c94e074d8ee00a098bc92", "title" : "Event Manager (Life Sciences)", "company" : "Jack Morton Worldwide", "industry" : "Healthcare", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Event Manager in the United Kingdom, adjusted for senior level experience, the marketing industry, and company size." }, "location" : "Leatherhead, England, United Kingdom", "locations" : [ "Leatherhead", "England", "United Kingdom" ], "timestamp" : "2026-06-15T09:42:18.636", "fingerprint" : "bd3cd42975ecbad51881cb97ca204ea111f2b1321d262106ca4594131146595d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/jackmortonworldwide/jobs/4214350009", "externalId" : "4214350009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Leatherhead", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.2955044,-0.3293100" } ], "locationText" : "Leatherhead, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Event delivery", "Budget management", "Timeline management", "Project planning", "Supplier sourcing", "Service provider management", "Rate negotiation", "Quality delivery", "Logistics management", "Delegate management", "On-site operations", "Event performance reporting" ], "hardSkills" : [ { "name" : "Event delivery", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Timeline management", "level" : "intermediate" }, { "name" : "Project planning", "level" : "intermediate" }, { "name" : "Supplier sourcing", "level" : "intermediate" }, { "name" : "Service provider management", "level" : "intermediate" }, { "name" : "Rate negotiation", "level" : "intermediate" }, { "name" : "Quality delivery", "level" : "intermediate" }, { "name" : "Logistics management", "level" : "intermediate" }, { "name" : "Delegate management", "level" : "intermediate" }, { "name" : "On-site operations", "level" : "intermediate" }, { "name" : "Event performance reporting", "level" : "intermediate" } ], "majorSkills" : "Event planning, Event delivery, Client management, Budget control", "majorSkillsList" : [ "Event planning", "Event delivery", "Client management", "Budget control" ], "coreResponsibilities" : "Lead meetings and events lifecycle, Deliver pharmaceutical programmes, Deliver Life Sciences programmes, Deliver advisory boards, Deliver congress activations, Deliver HCP engagement events, Collaborate with internal teams, Translate client briefs, Manage budgets, Manage timelines, Manage project plans, Source venues, Manage venues, Source suppliers, Manage suppliers, Source service providers, Manage service providers, Negotiate competitive rates, Oversee event logistics, Oversee registration, Oversee delegate management, Oversee travel, Oversee accommodation, Oversee on-site operations, Act as lead on-site, Ensure smooth delivery, Monitor event performance, Report on event performance, Provide insights, Provide recommendations, Ensure activities comply, Support junior team members, Mentor junior team members, Support freelancers, Mentor freelancers, Support external partners, Mentor external partners", "teamCollaboration" : "Internal teams; Account management; Creative teams; Strategy teams; Production teams", "projectManagementSkills" : [ "Project management", "Timeline management", "Budget management" ], "domainKnowledge" : "Life Sciences; Pharmaceutical industry; Healthcare industry; HCP engagement; ABPI Code of Practice", "domainList" : [ "life-sciences", "pharmaceutical-industry", "healthcare-industry", "hcp-engagement", "abpi-code-of-practice" ], "domainSpecificKnowledge" : [ "Life Sciences", "Pharmaceutical industry", "Healthcare industry", "HCP engagement", "ABPI Code of Practice" ], "communicationSkills" : "Client-facing; Build relationships; Manage expectations", "qualificationsBasic" : "6–8+ years’ experience delivering events, Experience working with pharmaceutical clients, Proven ability to manage multiple projects, Client-facing and communication skills, Experience managing budgets, Experience managing suppliers, Experience managing tight deadlines", "qualificationsPreferred" : "Experience delivering HCP engagement programmes, Experience delivering congresses, Experience delivering medical meetings, Experience working across EMEA, Experience working across global event programmes, Understanding of Life Sciences, Understanding of healthcare, Understanding of B2B sectors, Knowledge of current trends in events, Knowledge of experiential marketing, Knowledge of event technology, Professional certifications", "workSiteFlexibility" : "Onsite", "rawDescription" : "Experience Without Limits. Come shape the future of brand experience. At Jack Morton, we create, and build, head-turning, smile-inducing, impact driving brand experiences. We exist to redefine what experiential can achieve, helping clients unlock the full value of experiences. That takes a team that’s bold, curious, and acts as one - building on ideas, pushing boundaries, and showing up for each other. Here, you’ll do your best work, grow fast, and collaborate across clients, disciplines, and global teams to bring new ideas to life. This is a place where curiosity drives what’s next, boldness raises the bar, and we win together. Where ownership is expected, egos are left at the door, and the work reflects the people behind it. Experience without limits — in your work, your growth, and your impact. We are seeking an experienced Event Manager (Life Sciences) to lead the planning and delivery of high-profile meetings, events, and brand experiences for pharmaceutical and Life Sciences clients across the UK and internationally. This role is responsible for end-to-end event delivery, supporting a range of programmes including healthcare professional (HCP) meetings, congress-related events, training programmes, conferences, and experiential activations. From initial planning and creative development through to on-site delivery and post-event evaluation, the Event Manager will ensure all programmes are executed seamlessly, compliantly, and in line with client objectives. As part of the Client Delivery team, you will work closely with account management, creative, strategy, and production teams to deliver high-quality events that drive client engagement. You will manage multiple projects simultaneously, oversee suppliers, control budgets, and represent the organisation and its clients with professionalism. Key Responsibilities Lead the full lifecycle of meetings and events, including live, virtual, and hybrid formats. Deliver pharmaceutical and Life Sciences programmes such as advisory boards, congress activations, and HCP engagement events. Collaborate with internal teams to translate client briefs into engaging event experiences. Manage budgets, timelines, and project plans, ensuring delivery on time and within budget. Source and manage venues, suppliers, and service providers, negotiating competitive rates and ensuring quality delivery. Oversee event logistics, including registration, delegate management, travel and accommodation, and on-site operations. Act as the lead on-site, ensuring smooth delivery and a high-quality attendee experience. Monitor and report on event performance, providing insights and recommendations for future improvements. Ensure all activities comply with relevant industry regulations (e. g. ABPI Code of Practice where applicable). Support and mentor junior team members, freelancers, and external partners as needed. Requirements 6–8+ years’ experience delivering events, conferences, or complex programmes, ideally within an agency or client-facing environment. Experience working with pharmaceutical, healthcare, or Life Sciences clients. Proven ability to manage multiple projects and stakeholders simultaneously. Strong client-facing and communication skills, with the ability to build relationships and manage expectations. Experience managing budgets, suppliers, and tight deadlines. Desirable Experience delivering HCP engagement programmes, congresses, or medical meetings. Experience working across EMEA or global event programmes. Understanding of Life Sciences, healthcare, or B2B sectors. Knowledge of current trends in events, experiential marketing, and event technology. Professional certifications (e. g. CMP) are beneficial but not essential. We make our careers website accessible to any and all users. If you need an accommodation to participate in the application process, please contact us at jobaccomodations@jackmorton.com. This email address is not for general employment inquiries or vendors; rather it is strictly for applicants who require special assistance accessing our employment website. Due to volume, messages sent to this email address that are not related to an accommodation cannot be answered. ***JOB SCAM ALERT*** We have recently become aware that individuals not associated with Jack Morton have fraudulently used our name – and the names of some of our employees – to solicit applications for fake jobs, to conduct fake job interviews and to make fake job offers. Any request to schedule an interview and any bona fide offer of employment will only come from an authorized representative of Jack Morton with an email address “@jackmorton.com” or “@jackmorton.co.uk” or \"@impact-xm\". We will never require an applicant to provide credit card or banking information to cover any supposed advance costs. If you have provided personal information in connection with a fake job offer or interview and you are concerned, we suggest that you take appropriate action. Jack Morton takes these activities very seriously and are taking appropriate steps to shut down this fraudulent activity. We urge you to be careful when sharing your personal information and to be aware of scams involving fake job postings and job offers.", "summaryDescription" : "Event Manager (Life Sciences) at Jack Morton Worldwide. Skills: Event planning, Event delivery, Client management, Budget control. Lead meetings and events lifecycle. Deliver pharmaceutical programmes", "postedDate" : "2026-06-14T04:17:44.534", "createdAt" : "2026-06-14T04:17:44.534", "lastUpdated" : "2026-06-15T09:42:18.636", "ingestTimestamp" : "2026-06-14T04:17:44.534", "mongoId" : "6a2c94e074d8ee00a098bc92", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Event delivery", "Budget management", "Timeline management", "Project planning", "Supplier sourcing", "Service provider management", "Rate negotiation", "Quality delivery", "Logistics management", "Delegate management", "On-site operations", "Event performance reporting", "Event planning", "Client management", "Budget control", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Project management", "Life Sciences", "Pharmaceutical industry", "Healthcare industry", "HCP engagement", "ABPI Code of Practice" ], "skillCount" : 26, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c5f2374d8ee00a08e94d1", "title" : "Quantitative - Mixed Method UX Researcher IV (Consumer Insights)", "company" : "Linda Werner & Associates", "salary" : { "min" : 7500000.0, "max" : 1.2E7, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Quantitative - Mixed Method UX Researcher IV (Consumer Insights) in the Technology industry, adjusted for remote work and contract employment type." }, "location" : "LWA", "locations" : [ "LWA" ], "timestamp" : "2026-06-14T23:54:06.548", "fingerprint" : "f6ecccd1d37008096bb75f1b2a1ec7d6e7c6b7a2636f568dd253b74ab1da9a96", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lindawernerassociates/jobs/5255881008", "externalId" : "5255881008", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "hardSkillsList" : [ "Quantitative analysis", "Qualitative analysis", "Consumer insights" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Consumer insights", "level" : "intermediate" } ], "majorSkills" : "Mixed-method research, Consumer insights, Product strategy", "majorSkillsList" : [ "Mixed-method research", "Consumer insights", "Product strategy" ], "coreResponsibilities" : "Lead end-to-end research projects, Understand customer motivations, Understand purchasing behaviors, Understand product adoption, Understand consumer experiences, Manage multiple concurrent projects, Deliver actionable insights", "teamCollaboration" : "Work cross-functionally", "domainKnowledge" : "Consumer technology", "domainList" : [ "consumer-technology" ], "domainSpecificKnowledge" : [ "Consumer technology" ], "specialRequirements" : "Occasional field-based research activities, Potentially week-long trips", "qualificationsBasic" : "English (Required)", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "We are seeking an experienced Consumer Insights Researcher to support research initiatives that inform product strategy, customer experience, and go-to-market decision making. This role is ideal for a mixed-method researcher who enjoys blending quantitative and qualitative approaches to uncover meaningful consumer insights. The successful candidate will lead end-to-end research projects, helping stakeholders better understand customer motivations, purchasing behaviors, product adoption, and overall consumer experiences. This position requires a highly organized researcher who can manage multiple concurrent projects, work cross-functionally, and deliver actionable insights in a fast-paced environment. This is a contract position supporting a high-profile consumer technology organization. Remote work may be available, with occasional field-based research activities required. Key Responsibilities Research Planning potentially week-long trips. Role type: Contract 9 Month Position Expected hours: 40 per week Benefits: Dental insurance Health insurance Health savings account Life insurance Paid time off Retirement plan Vision insurance Schedule: 8 hour shift Monday to Friday Application Question(s): Do you or will you in the future require any sponsorship to work in the US? Language: English (Required)", "summaryDescription" : "Quantitative - Mixed Method UX Researcher IV (Consumer Insights) at Linda Werner & Associates. Skills: Mixed-method research, Consumer insights, Product strategy. Lead end-to-end research projects. Understand customer motivations", "postedDate" : "2026-06-12T21:54:18.023", "createdAt" : "2026-06-12T21:54:18.023", "lastUpdated" : "2026-06-14T23:54:06.548", "ingestTimestamp" : "2026-06-12T21:54:18.023", "mongoId" : "6a2c5f2374d8ee00a08e94d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Qualitative analysis", "Consumer insights", "Mixed-method research", "Product strategy", "Consumer technology" ], "skillCount" : 6, "jobCategory" : "other", "jobSubcategory" : "recruiting", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a16291c58b93c861e95a155", "title" : "Design Coordinator (Health + Education&Science)", "company" : "HDR", "industry" : "Education", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry level Design Coordinator in New York, adjusted for the Architecture industry and company size." }, "location" : "United States-New York-New York", "locations" : [ "United States-New York-New York" ], "certifications" : [ "Registration" ], "timestamp" : "2026-06-16T03:17:49.694", "fingerprint" : "6ca73f909c4f6be2ce2628b52a910e7ebc5b796bdb3667823e6bf3d776088159", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=777792", "externalId" : "777792", "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", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Revit", "professionalSkills" : [ "Leadership", "Communication", "Relationship management", "Analytical skills", "Problem-solving skills" ], "hardSkillsList" : [ "Graphic presentation" ], "hardSkills" : [ { "name" : "Graphic presentation", "level" : "intermediate" } ], "majorSkills" : "Graphic presentation, Revit proficiency", "majorSkillsList" : [ "Graphic presentation", "Revit proficiency" ], "coreResponsibilities" : "Participate in employee-owned culture", "domainKnowledge" : "Architecture", "domainList" : [ "architecture" ], "domainSpecificKnowledge" : [ "Architecture" ], "toolProficiency" : [ "Microsoft Office", "Excel", "Word", "Project", "Autodesk Revit" ], "communicationSkills" : "Leadership; Communication; Relationship management", "continuousLearning" : "Pursue growth opportunities; Obtain registration", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "Bachelor's degree in Architecture, Credentials to obtain future registration, Experience with Microsoft Office, Proficient in Autodesk Revit, Demonstrated graphic presentation skills", "qualificationsPreferred" : "Desire to pursue growth opportunities, Obtain registration leadership, Familiarity with Revit related tools and process", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Bachelor's degree in Architecture or closely related field Must possess credentials to obtain future registration Experience with Microsoft Office (Word, Excel, Project) Desire to pursue growth opportunities and eventually obtain registration Strong leadership, communication and relationship management skills Excellent analytical and problem-solving skills Proficient in use of Autodesk Revit and familiarity with related tools and process Demonstrated graphic presentation skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-New York-New York", "summaryDescription" : "Design Coordinator (Health + Education&Science) at HDR. Skills: Graphic presentation, Revit proficiency. Participate in employee-owned culture", "createdAt" : "2026-06-14T18:51:18.821", "lastUpdated" : "2026-06-16T03:17:49.694", "ingestTimestamp" : "2026-06-14T18:51:18.821", "mongoId" : "6a16291c58b93c861e95a155", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Graphic presentation", "Revit proficiency", "Leadership", "Communication", "Relationship management", "Analytical skills", "Problem-solving skills", "Architecture", "Registration", "Microsoft Office", "Excel", "Word", "Project", "Autodesk Revit" ], "skillCount" : 14, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Architecture", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c7c2b74d8ee00a094c83a", "title" : "Senior Quantitative Researcher - 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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb1cd74d8ee00a09de343", "title" : "Live - In Home Health Aide", "industry" : "Healthcare", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry-level Home Health Aides in Hopewell Junction, NY, adjusted for full-time, onsite work mode." }, "location" : "Hopewell Junction, NY", "locations" : [ "Hopewell Junction, NY" ], "timestamp" : "2026-06-15T08:37:31.364", "fingerprint" : "39c86df4c082424d42c2c97c1ac97f0cba6d117c4c79eb256af2b38d6985932f", "source" : "jazzhr", "language" : "en", "externalId" : "obVdKCxDD0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hopewell Junction", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.5810881,-73.8106688" } ], "locationText" : "Hopewell Junction, New York, United States", "majorSkills" : "Patient care", "majorSkillsList" : [ "Patient care" ], "coreResponsibilities" : "Provide personal care, Assist with daily living activities, Administer medication, Monitor patient health, Maintain a safe environment, Document patient care", "domainKnowledge" : "Home health care", "domainList" : [ "home-health-care" ], "domainSpecificKnowledge" : [ "Home health care" ], "documentationSkills" : "Patient charting", "specialRequirements" : "Live-in position", "qualificationsBasic" : "Home health aide experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Live - In Home Health Aide. Skills: Patient care. Provide personal care. Assist with daily living activities", "createdAt" : "2026-06-14T04:19:08.306", "lastUpdated" : "2026-06-15T08:37:31.364", "ingestTimestamp" : "2026-06-14T04:19:08.306", "mongoId" : "6a2cb1cd74d8ee00a09de343", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Patient care", "Home health care" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.9 }, { "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, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "69ec72c64c40e2acd1d0b24c", "title" : "Internship – Quantitative Energy Systems Analysis", "company" : "IAEA", "location" : "Austria-Vienna-Vienna-IAEA Headquarters", "locations" : [ "Austria-Vienna-Vienna-IAEA Headquarters", "2026-05-15, 11:59:00 PM" ], "timestamp" : "2026-06-15T10:02:48.469", "fingerprint" : "bb72c96de45dc5683c6e647989132f626e7c5823a392cd14aef09ed094837d15", "source" : "taleo", "applyUrl" : "https://iaea.taleo.net/careersection/ex/jobdetail.ftl?job=1307811", "externalId" : "1307811", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vienna", "country" : "Austria", "continent" : "eu", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Vienna, Austria", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 1, "experienceLevel" : "Entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NEPIK-Planning and Economic Studies Section Austria-Vienna-Vienna-IAEA Headquarters", "summaryDescription" : "Internship – Quantitative Energy Systems Analysis at IAEA", "createdAt" : "2026-06-14T19:48:54.620", "lastUpdated" : "2026-06-15T10:02:48.469", "ingestTimestamp" : "2026-06-14T19:48:54.620", "mongoId" : "69ec72c64c40e2acd1d0b24c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.9 }, { "id" : "6a2a455d74d8ee00a05d1e1d", "title" : "Junior Methods Engineer", "company" : "Harmattan AI", "industry" : "P&I", "salary" : { "min" : 38000.0, "max" : 48000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Methods Engineer in Wissous, France, adjusted for entry-level experience and the manufacturing industry." }, "location" : "Wissous", "locations" : [ "Wissous" ], "timestamp" : "2026-06-14T20:04:38.687", "fingerprint" : "a0fbe1356f0924e5c119f74c71c31fcf289df3ca4cc94d47f8c43e6f0dd416a8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/harmattan-ai/8fafacc3-8e5d-406d-ac28-d42dd2884c7c/application", "externalId" : "8fafacc3-8e5d-406d-ac28-d42dd2884c7c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Wissous", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.7316381,2.3268669" } ], "locationText" : "Wissous, France", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 3, "experienceLevel" : "Entry", "professionalSkills" : [ "Manufacturing processes", "Process management", "Lean deployment", "Problem-solving", "Performance tracking", "Workstation layout", "Line balancing", "Factory layout", "Time studies", "Cycle analysis", "MES deployment", "Automation readiness" ], "hardSkillsList" : [ "Process improvement", "Lean manufacturing", "Standardised work", "Visual management", "Problem-solving", "Performance tracking", "Time studies", "Cycle analysis", "Work instructions", "Manufacturing routes", "MES deployment", "Automation identification" ], "hardSkills" : [ { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Lean manufacturing", "level" : "intermediate" }, { "name" : "Standardised work", "level" : "intermediate" }, { "name" : "Visual management", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" }, { "name" : "Performance tracking", "level" : "intermediate" }, { "name" : "Time studies", "level" : "intermediate" }, { "name" : "Cycle analysis", "level" : "intermediate" }, { "name" : "Work instructions", "level" : "intermediate" }, { "name" : "Manufacturing routes", "level" : "intermediate" }, { "name" : "MES deployment", "level" : "intermediate" }, { "name" : "Automation identification", "level" : "intermediate" } ], "majorSkills" : "Process improvement, Lean manufacturing, Manufacturing routes, MES deployment", "majorSkillsList" : [ "Process improvement", "Lean manufacturing", "Manufacturing routes", "MES deployment" ], "coreResponsibilities" : "Support lean tools deployment on shopfloor, Participate in daily performance reviews, Contribute to structured problem-solving, Contribute to plant performance tracking, Support workstation layout improvements, Support line balancing, Support tooling setup, Participate in factory layout reviews, Participate in kaizen actions, Write work instructions, Maintain work instructions, Conduct time studies, Conduct cycle analysis, Support Odoo MES deployment, Identify manual operations for automation, Document manual operations for automation, Provide process data for automation, Provide cycle time data for automation, Participate in automation pilots, Update work instructions post-deployment", "teamCollaboration" : "Bridging Production, Quality, and Industrialisation & Automation teams; Interacting with operators and engineers", "domainKnowledge" : "Drone production; Autonomous defense systems", "domainList" : [ "drone-production", "autonomous-defense-systems" ], "domainSpecificKnowledge" : [ "Drone production", "Autonomous defense systems" ], "toolProficiency" : [ "Odoo MES" ], "communicationSkills" : "Clear interaction", "documentationSkills" : "Write work instructions; Maintain work instructions", "problemSolvingSkills" : "Structured problem-solving; Data-driven", "qualificationsBasic" : "Engineering degree in Industrial Engineering, Manufacturing, Mechanical Engineering, or a related field, 2–3 years of experience in a Methods, Industrial Engineering, or Continuous Improvement role, First exposure to lean tools: 5S, standardised work, time studies, or line balancing, Structured, rigorous, and data-driven, Good communication in French and English", "qualificationsPreferred" : "Exposure to a ramp-up, startup, or new product introduction context, Curiosity about automation, Desire to understand where manufacturing is heading, Familiarity with Odoo or any MES/ERP, Comfortable operating in ambiguous environments", "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. ABOUT THE ROLE The Methods Engineer supports the deployment and continuous improvement of manufacturing processes across the Wissous production plant. You will contribute to structuring a greenfield drone production facility scaling fast — building manufacturing routes, supporting lean deployment, and bridging Production, Quality, and the Industrialisation & Automation team on a daily basis. This is a hands-on role for someone who wants to build real expertise fast, in a high-tempo environment where every contribution is visible and every improvement counts. The role reports to the Head of Industrialisation & Automation. MISSIONS Continuous Improvement & Shopfloor Performance - Support the deployment of lean tools on the shopfloor: 5S rollout, standardised work, and visual management boards - Participate in daily performance reviews and contribute to structured problem-solving (5-Why, A3) on process non-conformances - Contribute to plant performance tracking: standard times, first-pass yield, scrap and rework monitoring Production Line Design & Internal Flow - Support workstation layout improvements, line balancing, and tooling setup for manual assembly operations - Participate in factory layout reviews and kaizen actions to reduce non-value-added activities Process Knowledge & Documentation - Write and maintain work instructions and manufacturing routes — ensuring accuracy, versioning, and floor-level usability - Conduct time studies and cycle analysis under the guidance of the senior team - Support Odoo MES deployment on the methods perimeter: routings, work orders, and traceability Automation Roadmap Contribution - Identify and document manual operations that are repetitive, constrained, or automation-ready - Provide process and cycle time data to support automation prioritisation alongside the Industrialisation & Automation team - Participate in automation pilots and update work instructions post-deployment REQUIREMENTS Essential Qualifications - Engineering degree in Industrial Engineering, Manufacturing, Mechanical Engineering, or a related field - 2–3 years of experience in a Methods, Industrial Engineering, or Continuous Improvement role — or a first significant experience in a manufacturing environment (internship, apprenticeship, or junior role included) - First exposure to lean tools: 5S, standardised work, time studies, or line balancing - Structured, rigorous, and data-driven — comfortable building simple KPIs and tracking performance - Good communication in French and English — able to interact clearly with operators and engineers - Hands-on mindset; at ease on the shopfloor, not just behind a screen Preferred Skills - Exposure to a ramp-up, startup, or new product introduction context is a plus, not a prerequisite - Curiosity about automation and a desire to understand where manufacturing is heading - Familiarity with Odoo or any MES/ERP is a bonus - Comfortable operating in ambiguous environments where processes are still being built We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.", "summaryDescription" : "Junior Methods Engineer at Harmattan AI. Skills: Process improvement, Lean manufacturing, Manufacturing routes, MES deployment. Support lean tools deployment on shopfloor. Participate in daily performance reviews", "postedDate" : "2026-06-11T17:33:55.959", "createdAt" : "2026-06-11T17:33:55.959", "lastUpdated" : "2026-06-14T20:04:38.687", "ingestTimestamp" : "2026-06-11T17:33:55.959", "mongoId" : "6a2a455d74d8ee00a05d1e1d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Process improvement", "Lean manufacturing", "Standardised work", "Visual management", "Problem-solving", "Performance tracking", "Time studies", "Cycle analysis", "Work instructions", "Manufacturing routes", "MES deployment", "Automation identification", "Manufacturing processes", "Process management", "Lean deployment", "Workstation layout", "Line balancing", "Factory layout", "Automation readiness", "Drone production", "Autonomous defense systems", "Odoo MES" ], "skillCount" : 22, "jobCategory" : "other", "jobSubcategory" : "p&i", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense" }, { "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2cab8874d8ee00a09ccb09", "title" : "Quality Management & Methods Manager", "company" : "SYNTEGON", "industry" : "Mechanical Or Industrial Engineering", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Manufacturing industry in Bristol, United Kingdom, adjusted for seniority and company size." }, "location" : "Bristol, United Kingdom", "locations" : [ "Bristol", "United Kingdom" ], "certifications" : [ "Certified Quality Manager", "Certified auditor" ], "timestamp" : "2026-06-15T22:49:31.108", "fingerprint" : "3f89e9260a108e429dee927973183332f1396c610662222e214947b4c503c9c6", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SYNTEGON/744000131835239-quality-management-methods-manager", "externalId" : "744000131835239", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bristol", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.4538022,-2.5972985" } ], "locationText" : "Bristol, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "ISO 9001, Excel, Word, PowerPoint, Outlook, Teams", "professionalSkills" : [ "Quality Management", "Risk assessment", "Lessons learned", "Quality audits", "Process improvement" ], "hardSkillsList" : [ "Quality standards", "Quality processes", "Quality procedures", "Risk management", "Continuous improvement", "Statistical analysis", "Quality tools" ], "softSkillsList" : [ "Action oriented" ], "hardSkills" : [ { "name" : "Quality standards", "level" : "intermediate" }, { "name" : "Quality processes", "level" : "intermediate" }, { "name" : "Quality procedures", "level" : "intermediate" }, { "name" : "Risk management", "level" : "intermediate" }, { "name" : "Continuous improvement", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Quality tools", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Action oriented" } ], "majorSkills" : "Quality Management Systems, Process improvement, Auditing", "majorSkillsList" : [ "Quality Management Systems", "Process improvement", "Auditing" ], "coreResponsibilities" : "Manage and report on Bristol Quality Management &, Maintain communication with stakeholders, Support departments in QMS processes and documentation development, Coach and train staff on quality standards and, Maintain, monitor and measure QMS effectiveness, Conduct internal audits on company quality management, Assist/facilitate other PA sites implement company Quality Policy, Coordinate activities to achieve and maintain compliance to, Design, implement, and audit quality processes and procedures, Support organization to carry out structured processes such, Monitor and report on performance regarding quality objectives, Conduct annual standard reviews, Communicate relevant changes to specific industry standards, Uphold proactive approach to QMM to drive continuous, Perform Monthly Reporting / Analysis (Defect costs, OTD,, Participate in QG4 / Lessons Learned meetings", "teamCollaboration" : "Internal departments; External stakeholders; Cross-functional teams", "projectManagementSkills" : [ "Risk management" ], "domainKnowledge" : "ISO standards; Special machine construction; Pharmaceutical industry; Biotechnology industry; Food industry", "domainList" : [ "iso-standards", "special-machine-construction", "pharmaceutical-industry", "biotechnology-industry", "food-industry" ], "domainSpecificKnowledge" : [ "ISO standards", "Special machine construction", "Pharmaceutical industry", "Biotechnology industry", "Food industry" ], "toolProficiency" : [ "Excel", "Word", "PowerPoint", "Outlook", "Teams" ], "communicationSkills" : "Clear documentation; Recommendations; Instructions", "documentationSkills" : "QMS documentation; Clear documentation", "problemSolvingSkills" : "Problem solving; Root cause analysis; Detect faults", "outcomesObjectives" : "Achieve and maintain compliance to ISO 9001; Prevention of defects; Customer satisfaction", "qualificationsBasic" : "Technical degree or comparable qualification, Several years of professional experience in HSE/ EHS-area, Ability to write clear documentation, recommendations and instructions, Fundamental technical knowledge in special machine construction, Problem solving experience in methodologies such as 8D, 5 Why, Ishikawa, Ability to detect faults and participate in finding root causes and their solutions, Experienced in risk management of projects, Experienced in leading quality and continuous improvement initiatives in a machine construction company, or equivalent blend of education and experience, Proficient in office standard software (Excel, Word, PowerPoint, Outlook, Teams, etc.)", "qualificationsPreferred" : "Certified Quality Manager and auditor with experience in maintenance of a Quality Management System preferred, Completed technical degree or comparable qualification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Together with 7,300 colleagues at 49 locations in over 20 countries, we are the strategic lifecycle partner for the pharmaceutical, biotechnology, and food industries. With streamlined processes, innovative technologies, and sustainable solutions, we help our customers achieve their goals. Among other examples, we ensure that vaccines are safely filled and that pharmaceuticals are produced reliably and in compliance with regulations. We even help package your favourite chocolate and snacks quickly and with high precision. Kliklok International Ltd., based in Bristol, UK is part of the Syntegon Group. We specialize in highly efficient and reliable secondary packaging machinery, with Syntegon technologies being used in industries such as bakery, snack, cereal, frozen and refrigerated foods, and confectionery. Become part of our team and apply now! The QMM Manager (Quality Management and Methods Manager) at Syntegon acts as an internal service provider to the organisation. This role involves: * Management and reporting of Bristol Quality Management & Methods actions & deliverables * Maintaining strong communication with stakeholders throughout the site and within Syntegon * Working with all departments internally and externally Key Responsibilities: Within area of operation, Quality Management & Methods Manager will: * Supports all departments in the development, maintenance and continual drive for improvement of QMS processes and documentation * Coaching and training staff on quality standards and best practices * Maintain, monitor and measure the effectiveness of Bristol Quality Management System; conduct internal audits on company quality management system; assist/facilitate other PA site audits; implement the company Quality Policy, review the contents and scope and ensure its updated accordingly * Strong knowledge of ISO standards (for example, ISO 9001) and other relevant frameworks, experience establishing, maintaining, and improving Quality Management Systems (QMS) (Coordinates activities to achieve and maintain compliance to ISO 9001 and applicable Syntegon quality directives.) * Ability to design, implement, and audit quality processes and procedures * Supports the organization to carry out structured processes such as risk assessments, 8Ds and lessons learned for customer and internal quality issues with focus on customer satisfaction and prevention of defects. * Monitors and regularly reports on performance regarding quality objectives * Conduct annual standard reviews to ensure changes are captured, and where relevant processes are updated to reflect relevant changes; communicate to the business relevant changes to specific industry standards. * Uphold a proactive approach to QMM to drive continuous improvements * CpC (Cockpit Charts reporting)Monthly Reporting / Analysis (Defect costs, OTD, Concessions, Complaints, Supplier performance) * Participate in QG4 / Lessons Learned meetings to focus on Customer Satisfaction, prevention of defects and improvement actions ## Qualifications The job holder will hold the following knowledge and skills * Completed technical degree or comparable qualification * Several years of professional experience in the HSE/ EHS-area * analytic skills, especially for legal principles and context * Ability to write clear documentation, recommendations and instructions * Certified Quality Manager and auditor with experience in maintenance of a Quality Management System preferred. * Fundamental technical knowledge in special machine construction. * Problem solving experience in methodologies such as 8D, 5 Why, Ishikawa. * Ability to detect faults (design, process and procedural) and to participate in finding root causes and their solutions. * Experienced in risk management of projects. * Experienced in leading quality and continuous improvement initiatives in a machine construction company, or equivalent blend of education and experience. * Proficient in office standard software (Excel, Word, PowerPoint, Outlook, Teams,etc.) * Action oriented, quick learner, ambitious; has experience in driving change and delivering results. * Ability to interpret data, spot trends, and make decisions based on evidence, Basic statistical analysis and use of quality tools (for example, control charts, Pareto analysis) ## Additional Information What we offer; At Syntegon, you’ll have the space to grow and make an impact. You’ll work in an international environment with an informal culture and plenty of opportunities to develop yourself. We believe work should be both rewarding and enjoyable. You’ll be part of an open-minded, supportive team where collaboration, growth, and new ideas are encouraged. Alongside this, we offer a competitive package of benefits to help you thrive both at work and in your personal life: * Competitive salary * 25 days holiday per year + public holidays increasing to 28 after 5 years’ service * Christmas shutdown period * Simply Health Medical Cashback plan * Pension Scheme with Aviva; ER contribution 4%, EE contribution 5% (min) * Life Assurance benefit of 7 x annual salary (Provided by Yu-Life) * Cycle to work/Tech Scheme (once passed probation) * Access to wellbeing support via SimplyHealth and YuLife * Staff discount for home appliances * Discretionary company bonus scheme linked to company performance", "summaryDescription" : "Quality Management & Methods Manager at SYNTEGON. Skills: Quality Management Systems, Process improvement, Auditing. Manage and report on Bristol Quality Management &. Maintain communication with stakeholders", "postedDate" : "2026-06-12T07:55:14.000", "createdAt" : "2026-06-14T19:27:29.427", "lastUpdated" : "2026-06-15T22:49:31.108", "ingestTimestamp" : "2026-06-14T19:27:29.427", "mongoId" : "6a2cab8874d8ee00a09ccb09", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Quality standards", "Quality processes", "Quality procedures", "Risk management", "Continuous improvement", "Statistical analysis", "Quality tools", "Action oriented", "Quality Management Systems", "Process improvement", "Auditing", "Quality Management", "Risk assessment", "Lessons learned", "Quality audits", "ISO standards", "Special machine construction", "Pharmaceutical industry", "Biotechnology industry", "Food industry", "Certified Quality Manager", "Certified auditor", "Excel", "Word", "PowerPoint", "Outlook", "Teams" ], "skillCount" : 27, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "quantitative methods in health sciences categorical variables jobs", "metadata" : { "title" : "quantitative methods in health sciences categorical variables" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 18116, "totalPages" : 363, "hasNext" : true, "hasPrevious" : false } }

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