Hiring: Data Scientist, Fraud Risk Company: Imprint Location: New York City Metropolitan Area Job Posted Time: 2026-09-16 16:06:56 Target Skills & Keywords : AWS, Machine Learning, Python, SQL, Shell, Snowflake About the job Experience: •8+ years of experience in data science, risk analytics, or a related quantitative field, ideally at a high-growth startup or fintech company Required Skills: •Own and improve Imprint's onboarding fraud decisioning across the full application journey, including identity verification, KYC controls, application fraud models, policy rules, decline and verification waterfalls, and manual-review strategies •Build, validate, deploy, and monitor models that detect identity theft, synthetic identity, first-party fraud, and coordinated application abuse using identity, device, behavioral, application, bureau, network, and consortium signals •Evaluate third-party fraud and identity vendors by testing scores and attributes, measuring incremental lift, overlap, coverage, stability, latency, and cost, and recommending when to add, replace, or retire signals •Design and analyze A/B tests, shadow tests, holdouts, and champion/challenger strategies, balancing fraud losses and capture against approval rate, false positives, verification friction, and manual-review volume •Investigate emerging fraud patterns and decision misses, combining application and post-booking outcomes with Fraud Operations feedback to develop new features, rules, models, and review strategies •Build monitoring and AI-powered workflows that detect model drift, population shifts, vendor degradation, data-quality issues, and new attack patterns—and recommend adjustments for human review •Partner with Fraud Operations, Product, Engineering, Compliance, and Credit Strategy to productionize changes, validate their impact, and communicate recommendations to senior leadership and external partners •5 to 8+ years of experience in data science, risk analytics, or a related quantitative field, ideally at a high-growth startup or fintech company Qualifications: •Operational familiarity with KYC, CIP, identity verification, document verification, device intelligence, behavioral signals, consortium data, credit bureau data, or alternative data sources •Operational familiarity with credit card underwriting, consumer lending, or regulated financial products •We don't expect every candidate to check every box. If this role excites you and you bring strong fundamentals, we encourage you to apply •Python and SQL for modeling and analysis. Snowflake for data warehousing. AWS infrastructure. Dashboarding and monitoring tools for production systems. •Learn more about how we build at Imprint on our engineering blog: https://medium.com/imprint-eng Compensation: •Competitive compensation and equity packages Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!