Fraud Risk Strategy Data Scientist
Core
Lead fraud detection, risk analysis, and loss mitigation projects for BILL's Fraud Risk Strategy team, focusing on predictive algorithms and control strategies for eCommerce and online payments.
Role type
Senior IC data scientist (fraud risk strategy)
Builds
Automated monitoring rules, data-driven risk strategies, and performance dashboards for fraud control.
Domain
Fintech, eCommerce, online payments, fraud risk
Deliverable
production ML models | product features | dashboards & analysis
Required skills
end-to-end fraud risk control strategy, complex analytical rule development, SQL, Python, Tableau, experimental design, fraud typologies, data/control governance, LLM integration via APIs, project leadership, cross-functional collaboration, mentorship
Preferred skills
experience in risk domain, AI application to accelerate data science, data enrichment, score recalibration
Technologies
SQL, Python, Tableau, LLMs/APIs
Responsibilities
Design and execute control strategies with Product Managers and Engineers; develop and refine risk strategy frameworks; build automated monitoring rules; create flexible performance dashboards; apply AI/LLMs to data science workflows; lead projects and mentor junior members.
Seniority
Senior, hands-on IC with leadership responsibilities
