Wise
Finance / FinServ
LeadDataScientistTrustandSafety
“Lead Data Scientist - Trust and Safety at Wise. Skills: data science, machine learning, fraud detection, Send Scam, Account Takeover (ATO). Lead the development and deployment of advanced machine learning models to detect, predict, and mitigate account takeover attempts. Analyze large volumes of data to identify trends, patterns, and anomalies associated with potential ATO and Send Scam threats”
What You'll Achieve.
Your work will directly influence our ability to safeguard our platform against unauthorized access and enhance our overall security framework; provide our customers with the seamless service they deserve
Industry & Context.
A proactive, problem-solving mindset; problem solving skills with the ability to help refine problem statements and figure out how to solve them
What They're Looking For.
Must Have
Proven experience in a data science role with a focus on fraud detection, cybersecurity, or fin tech related domains, Have build machine learning models for Send Scam (Victim Identification) and Account Takeover (ATO), proficiency in machine learning frameworks and programming languages such as Python, R, or similar, Experience working with large datasets and data processing technologies (e. g. , Hadoop, Spark, SQL), Demonstrated ability to work collaboratively in cross-functional teams and effectively communicate complex technical concepts to non-technical stakeholders, A proactive, problem-solving mindset with a passion for protecting users from fraudulent activities, You have a solid knowledge of Python, and are able to make and justify design decisions in your code, You know how to use Git to collaborate with others (e. g. opening Pull Requests on GitHub) and are able to review code, Ability to read through code, especially Java, Demonstrable experience collaborating with engineering, You have experience with mining into event logs to identify patterns and associations, You are familiar with a range of model types, and know when and why to use gradient boosting, neural networks, regression, autoencoders, clustering or a blend of these, Experience with statistical analysis, A product mindset with the ability to work independently in a cross-functional and cross-team, Good communication skills and ability to get the point across to non-technical, problem solving skills with the ability to help refine problem statements and figure out how to solve them
Nice to Have
Qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you., especially love to hear from you if you’re from an under-represented demographic
What You'll Do.
Lead the development and deployment of advanced machine learning models to detect
and mitigate account takeover attempts
Analyze large volumes of data to identify trends
and anomalies associated with potential ATO and Send Scam threats
Design and implement experiments to evaluate the effectiveness of fraud detection systems and continuously improve their performance
Develop robust data pipelines
and tools to support real-time detection and response to ATO and Send Scam threats
Stay informed about the latest advancements in data science
and fraud prevention techniques
How You'll Work.
Team & Collaboration
Collaborate with security analysts and engineers to translate business and security requirements into actionable data insights and solutions; Mentor and guide junior data scientists, fostering a culture of collaboration and continuous learning within the team; Demonstrated ability to work collaboratively in cross-functional teams; You know how to use Git to collaborate with others; Demonstrable experience collaborating with engineering; work independently in a cross-functional and cross-team
Communication Scope
effectively communicate complex technical concepts to non-technical stakeholders; good presentation skills; Good communication skills and ability to get the point across to non-technical
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