Staff Fraud Risk Strategy Analyst New York, New York
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Strong value offering due to competitive salary and contributions to key fraud-related initiatives within a well-established company.
- Salary: $168,500–$228,000/year
- Key role within a leading fintech organization
- Focus on comprehensive fraud management and risk analysis
- 5-7 years experience required
Pros
- Pleasant salary between $168,500 and $228,000 annually
- A role pivotal in preventing fraud in the growing consumer lending sector
- Integration with multiple teams enhances collaborative skills
Cons
- Potentially high-stress environment due to fraud escalation responses
- Expectation for deep knowledge of regulatory frameworks
- Limited options for remote work structure
Who it's for
Mid-Senior Level • Hybrid/Office-based
Good fit
- Experienced fraud analysts and strategists
- Professionals keen to work in high-impact roles
- Candidates with collaborative skill sets
Not recommended for
- Entry-level candidates or those with less relevant experience
- Individuals not interested in the tech environment
- Job seekers aiming strictly for remote opportunities
Motivation fit
Key skills
About the job
Staff Fraud Risk Strategy Analyst
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
Now, we are expanding our focus to Consumer Lending and banking within the Consumer Group. We are seeking a brilliant and passionate 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.
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.
Qualifications
- 5–7 years of experience in fraud operations or fraud analytics, preferably in fintech, banking
- Bachelor's degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience
- 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.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will 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, NY: $168,500- $228,000
