Sr. Fraud Analyst

Betterment•New York, NY

2d•$135,000 - $160,000•Hybrid

About The Position

Betterment’s Risk Operations team plays a critical role in protecting our platform and customers from fraud and financial crime. As a Senior Fraud Analyst, you will be the analytical owner of our customer risk rating, KYC, and fraud monitoring models. You will use data to shape how we detect, prevent, and respond to emerging fraud trends. You will partner closely with Data, Compliance, and Product to design controls, build monitoring, and regularly advise leadership on model performance, threats, and residual risk. This role is based out of our NYC office.

Requirements

3–5+ years in fraud prevention, analytics, and financial crime (fintech, banking, brokerage, or payments).
Must have direct experience with fraud patterns/controls (e.g., ATO, ACH/transfer, card fraud, KYC/KYB, synthetic identities).
Advanced SQL is required.
Comfortable framing analytical questions, designing experiments, and interpreting model/rule performance.
Familiarity with 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; can translate complex analytics and risk trade-offs to technical/non-technical audiences.
Comfortable presenting to senior stakeholders and committees.
Demonstrated end-to-end project management skills.
Enjoys cross-functional problem-solving (Ops, Data, Eng, Compliance, Product).
Balances fraud loss, CX, and efficiency.
Stays current on emerging fraud trends and brings new ideas.

Responsibilities

Manage Fraud rule sets and controls
Set up and perform continuous rule performance monitoring
Utilize data analytics to refine rules and reduce false/positives
Design new rules to address emerging fraud patterns and detect suspicious activity
Identify and remedy control gaps
Influence architecture builds and data integration
Orchestrate fraud monitoring through full customer journey across payment rails, funding flows, logins, and behavioral signals.
Strengthen case management process
Partner with Engineering for data harvesting, analytics and rule implementation
Lead cross‑functional projects from problem definition through implementation and post‑mortem, ensuring stakeholders are aligned on goals, timelines, and outcomes.
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 clear model performance metrics (e.g., detection rate, false positive rate, lift) and establish monitoring to track drift over time
Partner with Customer Experience team
To identify friction points, customer abandonment, and true cost of fraud prevention
Reduced account locks, allow faster money movements, and lower ID request rates while not increasing fraud
Increase customer greenlight passes and ensure manual reviews provide strong controls
Build monitoring and reporting
Partner with Data/Analytics to build dashboards that surface fraud KPIs, trends, model health, and control coverage for a variety of stakeholders (Ops, Compliance, Product, Leadership).
Create recurring reporting packages for FraudCo and Risk leadership, translating complex analysis into clear recommendations.