Analytics Lead, Deposit Fraud Risk

Affirm

. Own fraud performance for depository products, including monitoring fraud losses, approval rates, false positives, customer friction, and other key risk metrics .

Posted 9/29/2026full-timeRemote • United StatesSenior💰 $164,000 - $224,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in fraud performance analytics for depository products, utilizing SQL and Python to build data models and dashboards. Capable of translating complex analytical findings into actionable strategies while collaborating effectively across teams.

Highest-signal resume keywords

Fraud Performance AnalyticsSQLPythonData ModelingFraud Strategy Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data TransformationFraud Metrics DefinitionDashboard DevelopmentAnalytical Dataset CreationFraud Rule OptimizationPerformance MeasurementDeep-Dive AnalysisRisk EvaluationPayment Processing FundamentalsProject Management

Soft Skills

CollaborationInfluencingClear CommunicationTime ManagementAdaptability

Tools & Technologies

DBT

Industry Keywords

Fraud Loss MonitoringFalse PositivesCustomer FrictionIdentity RiskAccount TakeoverDevice RiskTransaction RiskOperational Feedback LoopsRisk TrendsProduct Launch Support

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own fraud performance for depository products, including monitoring fraud losses, approval rates, false positives, customer friction, and other key risk metrics
Build and maintain scalable data models and transformation pipelines using tools such as DBT
Standardize depository product, transaction, customer, fraud, and operational data
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, false positives, portfolio shifts, and unexpected performance changes
Translate analytical findings into actionable recommendations
Develop and optimize fraud rules, policies, thresholds, models, and decision strategies
Evaluate data sources and signals for identity risk, account takeover, device risk, transaction risk, and other fraud typologies
Lead testing and performance measurement of fraud strategy changes
Partner with Product, Engineering, Machine Learning, Data Engineering, Fraud Operations, and Risk teams
Improve fraud strategies, strengthen operational feedback loops, and support new product launches

Requirements

What you’ll need

7+ years of analytics experience
Fluent in SQL and Python
Ability to collaborate and influence across teams
Ability to communicate findings and recommendations clearly to technical and non-technical audiences
Ability to thrive in a fast-paced environment and be responsive during peak fraud activity
Strong time management and ability to manage multiple projects and priorities
Working knowledge of payment processing fundamentals
Understanding of industry risk trends, including familiarity with fraud strategy development
Visa sponsorship is not available for this position

Benefits

Comp & perks

Equity rewards may be included in the total compensation package
Monthly stipends for health, wellness, and tech spending
100% subsidized medical coverage for employees and dependents
Dental and vision coverage for employees and dependents
Remote-first work with flexibility within the country of employment
Flexible time off
Generous holiday calendars
Employee stock purchase plan (ESPP) with discounted Affirm stock
Inclusive interview process with accommodations for candidates with disabilities
In-person onboarding experience for all new hires