Staff Forensic Investigations Analyst

Responsibilities

• 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.
• 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.
• 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.
• Prowess in managing 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.
• PREFERRED: 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.

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: [Insert Range Here]