Senior Manager, Fraud Strategy & Operations
Core
Design, build, and optimize predictive and detective fraud prevention frameworks, rules, and machine learning models to safeguard Raisin's U.S. business across the customer lifecycle.
Role type
Senior Manager, Fraud Strategy & Operations (hands-on IC with leadership)
Builds
Real-time risk rules engine, fraud detection models, monitoring dashboards, and strategic controls for a multi-bank deposit marketplace
Domain
FinTech, Digital Banking, Payments Risk, Financial Crime
Deliverable
production ML models
Required skills
Fraud risk management, Python, SQL, Machine learning model development, Feature engineering, Fraud analytics, AML/KYC frameworks, U.S. fraud typologies (identity fraud, ATO, synthetic IDs, ACH fraud)
Preferred skills
Fintech/digital banking experience, Payments risk, Leadership experience, Cross-functional influence
Technologies
Python, SQL, Risk rules engine, Machine learning frameworks
Responsibilities
Design and deploy real-time logic and risk models; Build detective monitoring rules and post-transaction analysis; Own and execute U.S. fraud strategy; Lead fraud investigations and translate findings into controls; Build fraud KPIs and performance reporting; Quantify fraud exposure and loss trends
Seniority
Senior, hands-on IC with strategic ownership
