Job Description
What You’ll Do
- Architect and lead fraud prevention strategies across financial products (e.g., onboarding, ATO, payments).
- Design and optimize detection logic using platforms like ThreatMetrix , ensuring high fraud capture with minimal customer friction.
- Perform deep analytics and uncover emerging fraud patterns in structured and unstructured data.
- Monitor fraud KPIs such as detection rate, false positives, and loss capture to inform strategic pivots.
- Collaborate cross-functionally with Product, Engineering, Risk, and Compliance to operationalize insights.
- Lead incident reviews and present strategic recommendations to senior stakeholders.
- Stay ahead of the curve by tracking fraud trends and regulatory shifts.
What You Bring
- 7+ years in fraud strategy, analytics, or data science—preferably in retail banking or card products .
- Expert-level proficiency in SQL and Python ; familiarity with tools like Hive, Spark, AWS SageMaker .
- Strong experience in fraud detection platforms ( LexisNexis, Actimize , etc.), especially ThreatMetrix .
- Solid grasp of statistical modeling and predictive analytics.
- Confident communicator with proven success in cross-functional, client-facing environments.
- Strategic mindset with hands-on delivery capabilities.
Bonus Points:
- Experience with ML-based fraud modeling.
- Consulting background in fraud strategy.
- Familiarity with fraud loss appetite frameworks.
Join a team where your insights influence millions, your strategies stop fraud cold, and your leadership pushes the boundaries of risk intelligence.
Job Tags
Shift work,