Staff Fraud and Risk Analyst (AI)

Location: Mountain View, California, United States

Salary: $176,500–$238,500 annual base pay

Company

hirify.global is a financial technology platform serving consumers, small and mid-market businesses, and self-employed customers through products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Assess and document business risks, processes, and controls for new products and AI-focused initiatives.
• Develop AI risk governance frameworks, oversight guidelines, and expansion-ready controls.
• Conduct control walkthroughs, inspection testing, and independent model validation to identify gaps and determine effectiveness.
• Build dashboards, visualizations, alerts, scripts, AI skills, and automations for daily control monitoring.
• Analyze data and complex processes to produce recommendations and communicate findings to technical and non-technical stakeholders.
• Drive remediation efforts, action plans, and strategic initiatives across Product, Policy, Data Science, Operations, Accounting, and Compliance.

Requirements

• 8+ years of relevant experience in Risk, Finance, Compliance, Audit, or a related field.
• Bachelor’s degree in STEM, Business, Accounting, or a related field; a master’s degree is preferred.
• Strong experience with R, Python, advanced SQL, and visualization tools such as Tableau or QuickSight.
• Experience developing AI skills and overseeing AI-focused initiatives from a risk governance perspective.
• Knowledge of risk and controls management, control testing, model validation, statistical methods, and machine learning or artificial intelligence models.
• Strong project leadership, communication, relationship-building, analytical, and strategic planning skills.

Nice to have

• Master’s degree.
• Experience in fintech risk and controls related to money movement.
• Familiarity with machine learning and artificial intelligence theory and applications.

Culture & Benefits

• Competitive compensation with performance-based rewards.
• Potential eligibility for a cash bonus, equity rewards, and benefits under applicable company plans.
• Regular pay equity comparisons across ethnicity and gender categories.
• Cross-functional work with product, policy, data science, operations, accounting, and compliance teams.