Sr. Fraud Analyst

Senior Fraud Analyst responsible for owning customer risk rating, KYC, and fraud monitoring models at Betterment. Uses data analytics and SQL to design rules, monitor performance, reduce false positives, and partner cross-functionally with Data, Compliance, Product, and Engineering to mitigate emerging fraud threats while balancing customer experience.

About the job

Responsibilities

Manage fraud rule sets and controls, including setup and continuous performance monitoring.
Utilize data analytics to refine rules, reduce false positives, design new rules for emerging fraud patterns, and detect suspicious activity.
Identify and remedy control gaps.
Influence architecture builds and data integration; orchestrate fraud monitoring across the full customer journey (payment rails, funding flows, logins, behavioral signals).
Strengthen case management processes.
Partner with Engineering for data harvesting, analytics, and rule implementation.
Lead cross-functional projects from problem definition through implementation and post-mortem.
Identify, implement, and assess vendor solutions.
Own customer risk and KYC models: maintain and enhance customer risk rating, signup, and related fraud scoring models.
Define model performance metrics (e.g., detection rate, false positive rate, lift) and monitor for drift.
Partner with Customer Experience team to identify friction points, customer abandonment, and true cost of fraud prevention; reduce account locks, enable faster money movements, lower ID request rates without increasing fraud; increase greenlight passes while maintaining controls.
Build monitoring and reporting: partner with Data/Analytics to create dashboards for fraud KPIs, trends, model health, and control coverage.
Create recurring reporting packages for leadership, translating complex analysis into recommendations.

Requirements

3–5+ years in fraud prevention, analytics, and financial crime (fintech, banking, brokerage, or payments).
Direct experience with fraud patterns/controls (e.g., ATO, ACH/transfer, card fraud, KYC/KYB, synthetic identities).
Advanced SQL required.
Comfortable framing analytical questions, designing experiments, and interpreting model/rule performance.
Familiarity with the fraud ecosystem (solutions, capabilities, challenges).
Understands fraud stack components (risk models, rules, signals); able to design monitoring for model drift, data quality, and control failures.
Knowledge of KYC/AML, customer risk rating, and step-up auth/verification.
Excellent communication skills; can translate complex analytics and risk trade-offs to technical and non-technical audiences.
Comfortable presenting to senior stakeholders and committees.
Demonstrated end-to-end project management skills.
Collaborative; enjoys cross-functional problem-solving (Ops, Data, Eng, Compliance, Product).
Balances fraud loss, customer experience, and efficiency.
Stays current on emerging fraud trends and brings new ideas.

Nice-to-Haves

Experience leading cross-functional projects.
Knowledge of vendor solutions in the fraud space.
Ability to influence architecture and data integration decisions.

Compensation

Base salary: $135,000 - $160,000 (New York City).
Eligible for variable compensation in the form of a company incentive bonus.
Competitive benefits including medical, dental, vision; life/AD&D insurance; disability; infertility and transgender health benefits; EAP; transit benefits; FSA/HSA.
Equity grants for all employees.
Flexible PTO, paid parental leave, sabbatical.
401(k) match, student loan matching.
Professional coaching.