Senior Fraud & Risk Analyst

Intuit Quick Books is leading the charge in revolutionizing financial services for small and mid-market businesses through its money movement platform. Lending — Term Loan (TL), Line of Credit (LOC), and Revenue Based Financing (RBF) — is one of the fastest-growing pillars of that platform, extending credit to millions of small businesses that traditional lenders overlook. Growing responsibly at that scale requires world‑class fraud strategy.

The Lending Fraud Policy team combines cutting‑edge AI, cross‑product signal intelligence, and deep credit‑risk expertise to detect and prevent fraud across the full lending lifecycle — from onboarding, through underwriting, disbursement, servicing, and recovery — while enabling frictionless experiences for good customers. As a Senior Staff Fraud & Risk Analyst, you will own end-to-end lending fraud strategy across Term Loan (TL), Line of Credit (LOC), and Revenue Based Financing (RBF) — the policy, detection systems, and operational governance that determine who Intuit lends to, on what terms, and how we defend the book from stolen/synthetic‑identity fraud (FRAPP), account takeover (ATO), first‑party fraud, and bust‑out rings.

You will collaborate with Product, Engineering, Data Science, Finance, Legal/LCPO, Risk Operations, and Internal Audit to design and continuously improve the risk experience.

If you are passionate about solving real customer problems through decision science and analytics — and building the fraud strategy that lets Intuit safely extend credit to businesses no one else will — we welcome you to join our talented team.

• Own end-to-end lending fraud strategy across Term Loan (TL), Line of Credit (LOC), and Revenue Based Financing (RBF) — set policy across the full lifecycle: onboarding eligibility, application underwriting, line/loan issuance, draw‑level risk assessment (LOC and RBF), funding speed etc.
• Design and continuously tune detection systems for stolen/synthetic identity (FRAPP), account takeover (ATO), first‑party fraud, and bust‑out rings across all lending products.
• Lead complex forensic investigations of sophisticated multi‑product lending fraud rings; drive same‑day containment and translate ring learnings into permanent policy.
• Partner with Data Science on ML detection models, risk‑based decisioning, and AI Agent automation for case review and policy execution.
• Set risk strategy for new lending initiatives — including NTTF (New‑to‑the‑Franchise) Line of Credit (LOC) — balancing revenue enablement against fraud loss and customer experience;
• Partner with Finance on loss forecasting, loss reserves, and unit economics to ensure lending decisions are both risk‑informed and revenue‑aware.
• Partner with Risk Operations on case review workflows, fraud‑hold enforcement at money‑movement, and portfolio cleanup after ring detection.
• Partner with Legal/LCPO and Compliance on regulatory risk — Reg B/Z, ECOA, UDAAP, adverse action, KYB/KYC, sanctions (OFAC).
• Champion AI and automation — identify opportunities to apply AI‑powered tooling and automation to accelerate risk strategy work, reduce manual toil, and improve decision quality and consistency at scale.
• Communicate complex fraud strategy decisions clearly to senior leadership, financial partners, and regulators.

• MS/PhD in a quantitative field (Statistics, Mathematics, Economics, Operations Research, Finance, or related) with 7+ years in fraud analytics, credit risk, or data science
• Fintech / Lending experience strongly preferred — hands‑on ownership of fraud strategy for a lending product
• Working knowledge of the full risk‑control stack — fraud detection, underwriting, loss forecasting, disputes/collections and loss reserves.
• Demonstrated experience in ML‑based detection and statistical modeling — scorecard development, anomaly detection, clustering, feature engineering, model monitoring.
• Proficient in SQL and Python and comfortable working in Databricks, Hive, Hadoop, and modern data platforms; strong data visualization skills.
• Active champion for AI and automation adoption — you seek opportunities to apply AI‑powered tooling and automation to risk strategy work.
• Pol…