Staff Fraud & Risk Analyst

Overview 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. The ideal candidate combines exceptional quantitative precision with the cross-functional fluency to move between technical risk teams and financial stakeholders without losing either audience. You will build and own the frameworks that give the organization confidence that when we accept incremental loss to enable product growth, we are generating revenue in excess of that cost — and that when we add vendor spend, it delivers measurable value. 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 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York City: $168,500 - $228,000 Mountain View: $176,500 - $238,500 #J-18808-Ljbffr Intuit