Analytics Lead, Deposit Fraud Risk
Core
Lead fraud performance and strategy for depository products, balancing loss prevention with customer experience through data analysis and rule optimization.
Role type
Senior Analytics Lead (Fraud Risk)
Builds
Fraud detection strategies, monitoring dashboards, and data pipelines for depository products.
Domain
Fintech / Consumer Finance / Fraud Risk
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Python, Fraud strategy development, Data pipeline construction, Risk metrics analysis, Cross-functional partnership
Preferred skills
Payment processing knowledge, Identity verification expertise, Model evaluation
Technologies
DBT, SQL, Python
Responsibilities
Monitor fraud losses, approval rates, and false positives; Build scalable data models and transformation pipelines; Develop recurring dashboards and monitoring frameworks; Conduct deep-dive analyses to diagnose fraud losses and control gaps; Develop and optimize fraud rules, policies, and thresholds; Partner with Product, Engineering, and ML teams to improve fraud solutions.
Seniority
Senior, hands-on IC