Analytics Lead, Deposit Fraud Risk

Remote US · 7+ years experience · Remote · Posted Sep 29, 2026

At a glance

The Analytics Lead for Deposit Fraud Risk will own fraud performance for depository products, monitoring key risk metrics and portfolio health.
This role serves as a representative of the Credit Risk organization, partnering cross-functionally to refine identity verification, fraud processes, and application flows.
The position involves developing fraud strategies, optimizing decision models, and collaborating with Product and Engineering teams to improve fraud solutions.

Monitor fraud losses, approval rates, false positives, customer friction, and other key risk metrics.
Build and maintain scalable data models and transformation pipelines using tools like DBT.
Define trusted fraud performance metrics and analytical datasets.
Develop recurring dashboards, scorecards, and monitoring frameworks.
Conduct deep-dive analyses to diagnose fraud losses, control gaps, and portfolio shifts.
Develop and optimize fraud rules, policies, thresholds, models, and decision strategies.
Evaluate new data sources and signals to improve detection of identity, account takeover, device, and transaction risk.
Lead testing and performance measurement of fraud strategy changes.
Partner cross-functionally with Product, Engineering, Machine Learning, Data Engineering, and Fraud Operations.

7+ years of analytics experience.
Fluent in SQL and Python.
Working knowledge of payment processing fundamentals.
Understanding of industry risk trends and fraud strategy development.
Ability to collaborate and influence across multiple teams.
Ability to communicate findings clearly to technical and non-technical audiences.
Strong time management skills and ability to manage multiple projects.
Ability to thrive in a fast-paced environment and be responsive during peak fraud activity.