Fraud & Risk Analyst, AI Governance & Controls

Intuit Inc.; Mountain View (CA); On-site; USD 177,000 - 239,000; Full time

Job summary

Intuit is seeking a Staff Fraud and Risk Analyst to strengthen our first line of defense in Risk Governance. You will partner with cross-functional teams to document risks and controls, monitor control effectiveness, and validate AI-focused models to safeguard the customer lifecycle.

Responsibilities include leading risk assessments, building AI risk governance frameworks, developing dashboards for daily monitoring, and communicating findings to senior leadership.

Qualifications

• 8+ years of relevant business experience including Risk, Finance, Compliance, Audit, or related areas.
• Bachelor’s degree; Master’s degree preferred in STEM, Business, Accounting, or related field.
• Strong experience with R, Python, and advanced SQL; proficient data visualization skills.

Responsibilities

• Understand business processes, risks, and controls for new AI offerings and initiatives.
• Develop AI risk governance frameworks with expansion-ready controls and oversight.
• Drive risk and control assessments and document evidence in a GRC tool.
• Conduct walkthroughs and testing with cross-functional teams to identify gaps and remediation.
• Document testing/validation results and support dashboards for daily monitoring.
• Communicate findings to senior leadership and stakeholders clearly.

Skills

AI risk governance

Data analysis

Cross-functional collaboration

Communication

Leadership

R

Python

SQL

Visualization tools

Education

Bachelor’s degree in STEM/Business/Accounting

Master’s degree preferred

Tools

R

Python

SQL

Tableau

Quicksight

Job description

Intuit is seeking a Staff Fraud and Risk Analyst to strengthen our first line of defense in Risk Governance. You will partner with cross-functional teams to document risks and controls, monitor control effectiveness, and validate AI-focused models to safeguard the customer lifecycle.

Responsibilities include leading risk assessments, building AI risk governance frameworks, developing dashboards for daily monitoring, and communicating findings to senior leadership.