Senior Data Analyst - Fraud Strategy & Operations
Core
Designing and deploying predictive fraud models, rules, and dashboards to prevent financial crime and protect payment rails for a global savings platform.
Role type
Senior IC data analyst (fraud strategy & operations)
Builds
Real-time fraud detection rules, predictive ML models, and risk dashboards for Raisin's payment and funding flows.
Domain
Fintech / Digital Payments / Financial Crime
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, feature engineering, predictive modeling, fraud rule design, AML/KYC workflows, payment system expertise (ACH, RTP, FedNow)
Preferred skills
Experience with instant payment systems (RTP, FedNow), onboarding fraud detection
Technologies
SQL, Python, R Ecosystems
Responsibilities
Uncover emerging fraud patterns using complex data analysis; Design, test, and implement robust fraud prevention rules; Build predictive ML models to detect anomalies across the customer journey; Develop model features based on identity, device, behavioral, and transactional data; Build data-driven dashboards to track fraud metrics and losses; Partner with Compliance to enhance customer risk profiling and KYC/AML workflows.
Seniority
Senior, hands-on IC
