Senior Manager, Fraud Analytics and Risk

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$104K-$154K Verified - from the job posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

15% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Senior Manager, Fraud Analytics and Risk Remote US Role Overview We're looking for a sharp, self-driven Senior Manager to join our growing Trust & Safety team. You'll own the full fraud lifecycle - from individual order review to designing AI-enabled detection strategies and presenting risk exposure to executive leadership. This is a forward-looking role: you'll connect the dots across data, drive findings to resolution, and bring new ideas before problems escalate. You'll work across Product, Engineering, Decision Science, Compliance, CX, and senior leadership - so translating complex findings into clear, actionable narratives is just as important as finding them. In this role, you will: - Own the fraud rule lifecycle - designing, testing, deploying, and continuously optimizing detection rules and thresholds to maximize catch rate while minimizing friction. - Lead AI-enabled fraud use cases end-to-end: use-case sizing, feature ideation, population analysis, and data quality assessment to ensure solutions are analytically sound and value-accretive. - Conduct periodic performance reviews of fraud models and rules; drive root-cause investigations to proactively surface risk before it scales. - Serve as a trusted advisor for AI and ML use cases within fraud, ensuring alignment with enterprise AI governance standards, regulatory expectations, and the AI Use Case Registry. - Evaluate vendor fraud solutions through an analytical lens - assessing effectiveness, overlap, and value relative to cost and risk-reduction objectives. - Stay current on AI and automation tools and actively explore how they can enhance fraud detection workflows and efficiency. - Write and maintain intermediate-to-advanced SQL queries

Read the full description at job-boards.greenhouse.io. FewerJobs shows a preview and links to the original posting.