Analytics Lead, Deposit Fraud Risk

Tech Stack

Solid badges = required, outlined = preferred

Responsibilities

• Build and maintain scalable data models and transformation pipelines using tools like dbt to standardize depository, transaction, customer, and fraud data
• Define trusted fraud performance metrics and develop recurring dashboards, scorecards, and monitoring frameworks
• Conduct deep-dive analyses to diagnose fraud losses, control gaps, false positives, and portfolio shifts
• Develop and optimize fraud rules, policies, thresholds, models, and decision strategies
• Partner cross-functionally with Product, Engineering, Machine Learning, Data Engineering, and Fraud Operations to improve fraud strategies

Soft Skills

Benefits

• Dental
• Employee Stock Purchase
• Equity
• Flexible PTO
• Gym/Wellness
• Health Insurance
• Remote Stipend
• Remote Work
• Vision

Culture

Requirements