Senior Staff Fraud & Risk Analyst (Fintech)

Location: Mountain View, California, United States

Salary: $199,500–$270,000 base pay per year, with potential cash bonus, equity rewards, and benefits.

Company

hirify.global is a financial technology platform providing products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Own lending fraud strategy across Term Loan, Line of Credit, and Revenue Based Financing throughout onboarding, underwriting, issuance, servicing, and recovery.
• Design and continuously tune detection systems for stolen and synthetic identity fraud, account takeover, first-party fraud, and bust-out rings.
• Lead complex forensic investigations, drive same-day containment, and convert investigation findings into permanent policy improvements.
• Partner with Data Science on ML detection models, risk-based decisioning, and AI-agent automation for case review and policy execution.
• Set risk strategy for new lending initiatives while balancing revenue, fraud losses, regulatory requirements, and customer experience.
• Collaborate with Finance, Risk Operations, Legal, Compliance, Product, Engineering, and Internal Audit on forecasting, controls, workflows, and governance.

Requirements

• MS or PhD in Statistics, Mathematics, Economics, Operations Research, Finance, or a related quantitative field.
• 7+ years of experience in fraud analytics, credit risk, or data science, with hands-on lending fraud strategy experience preferred.
• Experience with fraud detection, underwriting, loss forecasting, disputes, collections, and loss reserves.
• Experience with ML-based detection and statistical modeling, including scorecards, anomaly detection, clustering, feature engineering, and model monitoring.
• Proficiency in SQL and Python, with experience using Databricks, Hive, Hadoop, modern data platforms, and data visualization.
• Experience with third-party fraud and identity vendors, complex cross-functional projects, and high-pressure incidents.

Culture & Benefits

• Work across Product, Engineering, Data Science, Finance, Legal, Compliance, Risk Operations, and Internal Audit.
• Opportunities to apply AI-powered tooling and automation to improve decision quality and reduce manual work.
• Competitive pay-for-performance compensation approach.
• Potential cash bonus, equity rewards, and employee benefits according to applicable plans and programs.
• Regular compensation comparisons across ethnicity and gender categories to support fair pay.