Senior Forensic Investigations Analyst

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.
• Quantify the potential financial impact (loss/exposure) and provide a cost-benefit analysis for proposed mitigation strategies.
• Use SQL and advanced spreadsheet modeling to query databases, analyze large datasets, and validate hypotheses regarding fraud trends.
• 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.
• Able 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.

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.