[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Intuit jobs](https://jobs.opennash.com/companies/intuit/) · [Search jobs](/search/) Intuit · Mountain View, California # Senior Staff Fraud & Risk Analyst Mountain View, California Senior individual contributor $199,500 - $270,000 Listed on Intuit’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there. [Apply on Intuit’s careers site →](https://jobs.intuit.com/job/mountain-view/senior-staff-fraud-and-risk-analyst/27595/99517959680) [OpenNash Jobs](https://jobs.opennash.com/) / [Intuit](https://jobs.opennash.com/companies/intuit/) / Senior Staff Fraud & Risk Analyst ## Job description Intuit QuickBooks 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. ### Responsibilities - 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. ### Qualifications - 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. - Polished partnership and communication skills — able to interact cross-functionally with business and technical partners; articulate complex fraud strategy trade-offs to senior leadership and non-technical stakeholders; influence decision makers, negotiate win-win outcomes, and drive prioritization across teams. - Demonstrated ability to manage complex, cross-functional projects and deliver in a fast-paced, ambiguous environment; responsive during high-pressure incidents. - Experience with third-party fraud/identity vendors 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: Mountain View $199,500 - $270,000 ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 7 days - Location: Mountain View, California - Pay: $199,500 - $270,000[Apply on Intuit’s careers site →](https://jobs.intuit.com/job/mountain-view/senior-staff-fraud-and-risk-analyst/27595/99517959680) ## More jobs at Intuit ### [Principal Employee Relations Partner](https://jobs.opennash.com/companies/intuit/jobs/a6efc16ec43c81da8494/) Mountain View, California ### [Principal Technical Program Manager, DGX](https://jobs.opennash.com/companies/intuit/jobs/0af0c60f0557851fdf86/) Mountain View, California ### [Principal, Corporate Development](https://jobs.opennash.com/companies/intuit/jobs/a221987affd8a4f409c7/) Mountain View, California ### [Principal, Strategic Workforce Planning](https://jobs.opennash.com/companies/intuit/jobs/f0d18c3e1c6620ffc237/) Mountain View, California ### [Senior Event Producer](https://jobs.opennash.com/companies/intuit/jobs/2d15025df6f0d334951c/) Mountain View, California ## Similar jobs at other companies ### [CCB Risk Modeling Senior Associate - Fraud Prevention](https://jobs.opennash.com/companies/jpmorganchase/jobs/c468a8ae1a6fc656db9b/) JPMorganChase · Wilmington, DE, United States ### [Software Engineers II - Risk and Fraud Technology](https://jobs.opennash.com/companies/fidelity-national-information-fis/jobs/dbeac154e61b49736b59/) Fidelity National Information (FIS) · Jacksonville, FL, United States of America ### [Fraud Analyst-Bilingual in English/Portuguese](https://jobs.opennash.com/companies/jpmorganchase/jobs/da9a4b1772560f2596f3/) JPMorganChase · Tampa, FL, United States ### [Analyst, Fraud Risk Management](https://jobs.opennash.com/companies/webster-financial/jobs/28da01ba23e6b2513458/) Webster Financial · CT Southington ### [Fraud Risk Analytics Sr Analyst](https://jobs.opennash.com/companies/citizens-financial-group/jobs/cfd10d29089e7546a822/) Citizens Financial Group · United States OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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