Senior Staff Fraud and Risk Analyst - Fintech

Senior Staff Fraud and Risk Analyst - Fintech Category Security, Risk & Fraud Location New York, New York Job ID 20148 Company Overview Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible. Job Overview Intuit’s Consumer Group, including TurboTax, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. We leverage data and insights to innovate and enhance our consumer offerings. Now, we are expanding our focus to Consumer Lending and banking within the Consumer Group. We are seeking a brilliant and passionate Senior Staff Analyst for Fraud Policy to be a key player in safeguarding our ecosystem and building unwavering trust with our customers focusing on consumer banking products. This isn't just a job; it's an opportunity to be at the forefront of the fight against fraud in the dynamic world of fintech. You’ll work closely with fraud strategy, data science, engineering, and customer support teams to ensure we deliver a secure and seamless experience for our customers while minimizing fraud losses and maintaining compliance with applicable regulations. Responsibilities Fraud Detection & Investigation Monitor alerts and analyze real-time signals to detect suspicious activity (e.g., account takeover, check kiting, synthetic identity, mule activity, ACH fraud, remote access tools). Investigate and resolve fraud cases across onboarding, KYC, account funding (e.g., ACH, Plaid, RTP), and account usage stages. Leverage fraud tools and external vendor data to review high-risk activity and recommend actions. Data-Driven Analysis Analyze fraud trends and patterns using data analytics tools (SQL, Excel, dashboards) to identify emerging threats or gaps in current detection logic. Support creation and tuning of fraud detection rules, machine learning models, and velocity checks in collaboration with fraud strategy and data teams. Track key fraud KPIs (e.g., fraud loss rates, false positive rates, return reasons like R05/R10) and prepare reports for stakeholders. Operational Efficiency & Documentation Respond to fraud-related escalations from customer support and other internal teams. Assist in refining workflows and automations to improve response time and operational throughput. Document fraud scenarios, case investigations, root cause analysis, and preventive actions. Cross-Functional Collaboration Work closely with compliance, risk policy, customer support, engineering, and external vendors. Participate in projects related to new product launches, fraud tooling enhancements, and regulatory reviews (e.g., SAR filings support). Provide fraud subject matter expertise in discussions related to account security, identity verification, and payment flows. Qualifications 7 years of experience in fraud operations or fraud analytics, preferably in Fintech, NeoBanking, Crypto, or Money Movement space. Strong understanding of fraud typologies relevant to consumer financial products (e.g., synthetic identity, phishing/ATO, 1st/3rd party fraud, ACH disputes). Experience with fraud tools and platforms (e.g., Alloy, Sift, Ekata, Kount, etc.) Proficiency in analyzing fraud data using SQL and/or Excel; familiarity with Looker or other BI tools is a plus. Familiarity with banking regulations and fraud return codes (e.g., ACH NACHA rules, Reg E, KYC/AML basics). Strong analytical, investigative, and problem-solving skills. Excellent communication and documentation skills. Nice to Have Experience in fraud for digital banking, challenger banks, or fintech products. Exposure to fraud rules management or machine learning-based detection systems. Prior work with ACH return reason codes, dispute handling, or chargeback processes. If you are ready to take on a high-impact role at the intersection of technology, data, and security, we encourage you to apply. Join us in building a safer and more prosperous future for everyone. Compensation and Benefits 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: $187,000 - $253,000 #J-18808-Ljbffr