Analytics Lead, Deposit Fraud Risk

Role overview

Lead analytics and fraud strategy for deposit products, helping reduce losses while preserving approval rates and a smooth customer experience. The role combines data infrastructure, performance monitoring, investigation, and cross-functional work to improve fraud controls and support product changes.

Responsibilities

- Build and maintain data models and transformation pipelines that organize product, transaction, customer, fraud, and operational data. - Define reliable measures for fraud losses, approvals and declines, false positives, customer friction, and operational efficiency. - Create dashboards, scorecards, and monitoring processes to track portfolio health and emerging risks. - Investigate loss patterns, control gaps, false positives, and shifts in performance; turn findings into recommendations. - Develop and assess fraud rules, policies, thresholds, models, and decision strategies, measuring the effects of changes. - Work with product, engineering, machine learning, data, operations, and risk partners on controls and product launches.

Requirements

- At least 7 years of analytics experience. - Strong SQL and Python skills. - Working knowledge of payment processing and fraud strategy, with awareness of industry risk trends. - Ability to explain findings and recommendations to both technical and nontechnical audiences. - Strong collaboration, prioritization, and time management skills across multiple projects. - Comfort working in a fast-paced environment and responding during periods of elevated fraud activity.

Benefits and work setup

The position is remote-first within the country of employment, with occasional office work possible and in-person onboarding. The listed package includes health coverage, monthly spending stipends, flexible time off, and an employee stock purchase plan.