Staff Fraud & Risk Analyst
Intuit · New York, NY · 2 wk ago
On-siteFinance$177k–$239k/yrFull-time
About the role
We are seeking a Staff Fraud & Risk Analyst to join the Risk organization as a strategic analytics partner bridging Risk Policy, Risk Operations, and Finance. This role is the analytical backbone for decisions involving loss tolerance, revenue trade-offs, and vendor economics — translating complex risk positions into numbers that Finance trusts and leadership can act on.
Responsibilities
- Partner with Risk Policy and Operations teams to stress test ROI models for new product launches and policy changes — validating loss absorption assumptions and revenue-offset calculations to ensure they meet a consistent, Finance-ready standard
- Build and maintain the analytical framework that connects incremental loss exposure to incremental revenue — so we can say with confidence whether a bet is worth taking
- Evaluate vendor cost decisions through the same lens: does the added spend deliver measurable risk reduction or revenue impact relative to its cost?
- Act as the connective tissue between Risk Policy, Risk Operations, and Finance — translating between technical risk language and financial accounting logic
- Deliver pre-quantified impact analyses so that policy changes and new product decisions arrive at committee with the numbers already done
- Present findings clearly to cross-functional stakeholders and hold your ground when the numbers don't support the narrative
- Build scalable, reusable frameworks that reduce the analytical lift required for recurring decisions across the risk portfolio
Qualifications
- 5+ years of experience in risk analytics, financial analysis, or a related quantitative role within financial services or fintech
- Exceptional quantitative accuracy — you are the person in the room who catches the error everyone else missed, and Finance knows it
- Deep comfort with loss forecasting, P&L dynamics, and ROI frameworks
- Ability to navigate Finance, Accounting, and Risk stakeholders without creating friction — direct, credible, and easy to work with
- Strong communication skills: you can explain a complex model to a non-technical audience without dumbing it down
Preferred
- Experience with fraud economics or credit risk policy
- Background working within or alongside a CRO or CFO organization
- Familiarity with stress testing methodologies (regulatory or internal)
- Experience with BI tools (Tableau, Looker, or equivalent) and cloud data platforms