Senior Forensic Investigations Analyst

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.

As a Forensic Financial Investigations Senior Analyst, you'll own complex investigations, uncover emerging fraud patterns, and turn deep data analysis into high-stakes decisions and operational improvements that prevent financial loss. If you have a sharp eye for risk, a track record of turning analysis into action, and a passion for protecting customers from fraud — this role is for you.

• 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

Complex Investigations:

• Go beyond standard queue work to investigate complex, high-risk cases and anomalies that require deep-dive analysis and critical thinking.
• Evaluate complex risk signals to authorize or deny money movement, providing clear, data-backed rationales for decisions that deviate from standard automated logic.
• For major investigations, quantify the potential financial impact (loss/exposure) and provide a cost-benefit analysis for proposed mitigation strategies
• Actively use SQL and advanced spreadsheet modeling to query databases, analyze large datasets, and validate hypotheses regarding fraud trends.
• Root Cause Analysis (RCA): Identify the underlying causes of fraud or financial risk incidents and clearly summarize findings in writing to influence process changes, close gaps, and communicate trends to partners and leaders.
• Cross-Functional Collaboration: Collaborate with Product, Engineering, and Policy teams to ensure fraud and financial risk mitigation strategies are effectively implemented and target KPIs are met.
• Develop business cases to drive holistic improvements aimed at identifying fraud earlier or streamlining the response process.
• Stay current on industry and technology trends to proactively identify new risk factors and contribute to the wider Risk Management community.
  
  

Qualifications

• 4 – 6 years of experience in fraud/financial risk analysis, forensic investigations, or risk management within the fintech or banking industry.
• Intermediate SQL Proficiency: Must be able to write and modify SQL queries to extract and analyze data independently (beyond just running existing reports). Ability to transform raw SQL output into visualizations or executive summaries that justify specific financial risk decisions.
• Skilled in the use of spreadsheets for investigation analysis and large case tracking.
• Superior critical thinking skills with the ability to navigate ambiguity. Must be able to connect dots across disparate data points where standard operating procedures (SOPs) may not exist yet.
• Exceptional written and verbal communication skills to translate complex investigation details into concise summaries for cross-functional stakeholders.
• Ability to balance multiple investigations and deadlines based on criticality and risk exposure.
  
  

Preferred

• Experience in payment fraud or SMB lending/credit risk.
• Bachelor’s degree in a related field such as Accounting, Finance, Data Science, or Criminal Justice
• Familiarity with AI/ML tools
  
  

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: