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Senior Fraud Strategy Analyst

💼 Full-time💰 $134,000–$134,000🗓 2026-07-31

Core

Building and scaling fraud strategy for a lending business by optimizing rules, monitoring risks, and driving decisions to reduce fraud loss while supporting growth.

Role type

Senior IC fraud strategy analyst

Builds

Fraud rules, monitoring frameworks, and risk controls for a lending platform

Domain

Fintech / Lending / Financial Services

Deliverable

production ML models | product features | dashboards & analysis

Required skills

Fraud strategy design, SQL, fraud type identification (synthetic ID, ATO, first-party), risk analysis, cross-functional partnership, experiment design

Preferred skills

Unsecured lending experience, experimentation or modeling (Python/R), 0→1 or scaling team experience

Responsibilities

Build and optimize fraud rules and strategies, own fraud monitoring and analysis, investigate trends and surface insights, create repeatable frameworks for fraud operations, design and evaluate experiments to balance risk and experience, partner to implement fraud controls across product and engineering

Seniority

Senior, hands-on IC

Rewrite
## About the role The Senior Fraud Strategy Analyst will report to Senior Manager, Fraud Strategy. You will help build and scale fraud strategy for a growing lending business—owning execution today while shaping the long-term approach as we scale. ## Responsibilities - Reduce fraud loss while supporting growth by building and optimizing fraud rules and strategies - Own fraud monitoring and analysis, identifying risks across channels, segments, and customer cohorts - Turn data into action by investigating trends, surfacing insights, and driving decisions - Scale fraud operations by creating repeatable frameworks and improving coverage as volume grows - Design and evaluate experiments to balance fraud risk, approval rates, and customer experience - Partner cross-functionally to implement fraud controls across product, risk, and engineering - Support new products and channels by ensuring fraud risk is managed from day one ## Requirements - 4+ years in fraud, risk, or analytics in fintech, lending, or financial services - Strong SQL skills and comfort working hands-on with data - Familiarity with fraud types (synthetic ID, ATO, first-party fraud) - Experience with fraud strategy, monitoring, or detection (not just operations) - Ability to connect analysis to business outcomes (loss, conversion, approvals) - Comfortable operating in ambiguous, fast-moving environments - Clear communicator with a strong sense of ownership and initiative ## Nice to have - Experience in unsecured lending (personal loans, fintech) - Experience with experimentation or modeling (Python/R) - Background in 0→1 or scaling teams ## Location This role will be based in the US. ## What we offer A little about our pay philosophy: We take pride in compensating our employees fairly and equitably. We are showcasing a range of your potential base salary based on the roles location. The successful candidate's starting pay will also be determined based on job-related qualifications, internal compensation, candidate location and budget. This range may be modified in the future. Salary Range: $134,000 - $165,000 USD. Employees are also eligible for an annual performance-based bonus and equity.
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