Staff Forensic Investigations Analyst
IT
Atlanta, GA, USA
Staff Forensic Investigations 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
Intuit’s Global Business Solutions Group (GBSG) is dedicated to delivering tools and services that significantly enhance a Small Business' ability to manage their cash flow. The Fintech Risk Operations team protects our small business customers and Intuit from financial losses, fraud, and compliance risk.
This role is responsible for leading complex case and fraud ring investigations, driving innovation in investigation tooling, and serving as a force-multiplier through mentorship, cross-functional partnership, and proactive ownership of high-impact programs. The ideal candidate thrives in ambiguous, high-pressure environments, communicates with exceptional clarity, and continuously advances the team's fraud detection and investigation capabilities.
**This role is hybrid with on-site expectations of ~3 days per week and has the potential for ~10% domestic travel. Must be able to work extended hours and/or holidays during peak fraud analysis periods.
Responsibilities
Forensic Risk Investigation: Leads complex case and fraud incident investigations with full autonomy, serving as the department SME and go-to resource for partner teams. Proactively applies all available tools and resources to evaluate risk signals, authorize or deny money movement with data-backed rationale, and quantify financial exposure.
Technical Expertise: Leads prototyping and requirements definition for investigative tools that improve analyst accuracy. Proficient in advanced SQL, large-scale spreadsheet management, and deep knowledge of investigation technology. Mentors teammates on data querying and analytical best practices.
Takes full ownership of projects, processes, and programs — understanding risks, identifying improvements, and partnering cross-functionally to resolve blockers and optimize workflows. Exercises sound judgment on escalation and ramps quickly on new fraud domains, distilling learnings to accelerate team knowledge. Serves as a mentor across the org on fraud trends and investigation techniques, staying current on industry developments and creating opportunities to upskill others.
Produces clear, concise written and verbal summaries of complex investigations tailored to varied audiences. Proactively surfaces improvement opportunities through RCAs and mentors colleagues on communication quality. Stays calm under pressure and helps the team maintain focus during high-stress situations.
Qualifications
7+ years of experience in fraud investigation with demonstrated expertise investigating complex fraud schemes.
Advanced SQL proficiency; ability to write, optimize, and explain complex queries for investigative use cases.
Skilled in spreadsheet tools for large-scale case and incident tracking, including organizing fraud ring population data; mentors others on data querying best practices.
Track record of producing clear, concise written investigation summaries and delivering verbal findings to senior audiences.
Proven ability to manage multiple high-priority investigations simultaneously in a fast-paced environment.
Experience leading root cause analyses and translating findings into actionable process improvements.
Strong cross-functional collaboration skills; experience working with partner teams such as Legal, Policy, Product, and Engineering.
Preferred:
Experience in payment fraud, SMB lending/credit risk, or prototyping and defining business requirements for risk and investigation tools.
Experience presenting to Director-level or above audiences on investigation findings and strategic recommendations.
Bachelor’s degree in a related field such as Accounting, Finance, Data Science, or Criminal Justice.
Familiarity with AI/ML tools
Footer
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: