Fraud Strategy Decision Scientist
Core
Lead data-driven fraud strategy initiatives focused on machine learning features, rules development, and scalable fraud controls to reduce fraud losses while enabling business growth across travel and expense platforms.
Role type
Senior IC fraud strategy decision scientist
Builds
Fraud rules, thresholds, decision workflows, and policy decisions for expense card issuing, payments, onboarding, and travel fraud
Domain
Fintech, payments, travel, and financial crime risk management
Deliverable
production ML models
Required skills
Fraud strategy design, machine learning model integration, SQL, Python, large-scale data platforms (Snowflake, Databricks, Spark), card payments and transaction flows, fraud typologies (ATO, synthetic identity, first-party, third-party), root-cause analysis, A/B testing, mentorship
Preferred skills
Fintech, payments, travel, or e-commerce experience
Technologies
Snowflake, Databricks, Spark
Responsibilities
Design and evolve fraud rules, thresholds, and decision workflows; Partner with Data Science to translate ML outputs into strategies; Lead strategy development across onboarding, payments, and transaction monitoring; Apply advanced analytics to identify fraud patterns; Perform root-cause analysis and loss attribution; Own strategy performance metrics; Collaborate with Fraud Operations for execution; Partner with Engineering and Product for system implementation; Drive experimentation and A/B testing; Mentor junior fraud strategists
Seniority
Senior, hands-on IC with mentorship responsibilities
