Senior Lending Fraud & Risk Strategist - AI & Policy

Intuit; Mountain View (CA); On-site; USD 200,000 - 270,000; Full time

Job summary

Intuit is seeking a Senior Staff Fraud & Risk Analyst to own end-to-end lending fraud strategy across TL, LOC, and RBF, shaping policy from onboarding to recovery.

You will collaborate with Product, Engineering, Data Science, Finance, Legal, and Compliance to design detection systems, improve risk decisions, and scale AI-driven automation while balancing revenue and customer experience.

Qualifications

• MS/PhD in quantitative field with 7+ years in fraud analytics or data science.
• Fintech / lending experience strongly preferred.
• Proficient in SQL and Python; comfortable with Databricks, Hive, Hadoop.
• Experience with ML-based detection and scorecard development.

Responsibilities

• Own end-to-end lending fraud strategy across Term Loan (TL), Line of Credit (LOC), and Revenue Based Financing (RBF).
• Design and tune detection systems for stolen/synthetic identity (FRAPP), account takeover (ATO), first-party fraud, and bust-out rings.
• Lead investigations of multi-product fraud rings and translate learnings into permanent policy.
• Partner with Data Science on ML detection models, risk-based decisioning, and AI automation for case review and policy execution.
• Set risk strategy for new lending initiatives—balancing revenue enablement against fraud loss and customer experience.
• Partner with Finance on loss forecasting, loss reserves, and unit economics to ensure risk-informed lending decisions.
• Partner with Risk Operations on case review workflows and fraud-hold enforcement at money movement.
• Partner with Legal/LCPO and Compliance on regulatory risk—Reg B/Z, ECOA, UDAAP, adverse action, KYB/KYC, sanctions.
• Champion AI and automation—identify opportunities to apply AI-powered tooling and automation to accelerate risk strategy work.
• Communicate complex fraud strategy decisions clearly to senior leadership, financial partners, and regulators.

Skills

SQL

Python

ML modeling

Data visualization

Cross-functional

Communication

Regulatory risk

Fraud analytics

Leadership

Problem solving

Education

MS/PhD in quantitative field

Tools

Databricks

Hive

Hadoop

Job description

Intuit is seeking a Senior Staff Fraud & Risk Analyst to own end-to-end lending fraud strategy across TL, LOC, and RBF, shaping policy from onboarding to recovery.

You will collaborate with Product, Engineering, Data Science, Finance, Legal, and Compliance to design detection systems, improve risk decisions, and scale AI-driven automation while balancing revenue and customer experience.