Amazon is seeking a Risk Specialist to support the Finance Operations Risk Management Services in Accounts Payable at Amazon. We are looking for a candidate that will take ownership and drive change in a dynamic global business environment while leveraging AI-powered solutions to enhance risk detection and prevention. This individual will ensure Amazon's Finance Operations processes stay ahead of risks through continuous inspection of processes, systems, and key business initiatives.
This individual must be a team player, driving efficiencies and contributing to team’s goals. This individual must have process knowledge, data analysis, auditing skills and customer obsessed.
Key job responsibilities
• Execute the TERA team's vision to prevent, detect, and investigate potential fraud and financial abuse by employees through timely investigations and deep dives
• Serve as single-threaded owner for execution of projects & activities related to expense audits, fraud investigation workflows, and AI-driven fraud detection initiatives, leveraging risk management best practices
• Apply critical thinking to identify patterns, anomalies, and root causes of potential fraud and financial abuse, communicating recommendations and findings to management and stakeholders
• Review employee expense reimbursements and corporate card spend for compliance with Amazon’s Global Travel and Expense reimbursement policy.
• Use AI tools in investigations to enhance fraud detection, pattern recognition, and risk assessment capabilities
• Perform UAT testing on AI-powered fraud detection solutions and provide structured feedback to Product and Tech teams to improve product/model accuracy
• Work backwards from customers (partner teams, business functions, legal etc.) to understand their needs and incorporate context into project plans and risk activities
• Identify roadblocks in expense audit workflows, data quality issues, and cross-functional dependencies (Finance, HR, Legal), drive resolution, and escalate fraud /abuse cases and system gaps appropriately to ensure timely delivery
• Work with operations teams to improve processes by clearly defining issues and root causes
Basic Qualifications
- • MBA or Post-graduate degree in finance, and/or professional qualification such as Chartered Accountant or Certified Fraud Examiner
- • 5+ years of relevant experience in relevant risk management areas such as internal/external audit, risk management and/or investigation
- • Experience in data analysis using Excel, VBA, or other business intelligence tools.
Preferred Qualifications
- • Work experience in expense reimbursement audit, corporate cards fraud, employee investigations, conflict of interest or any other forensic investigation. Prior Forensic experience or CFE would be an added advantage
- • Experience in using AI tools for data analysis, pattern recognition, or fraud detection
- • Hands-on experience conducting UAT testing for AI or ML solutions and providing feedback to improve models
- • Forensic data analysis skills with experience writing SQL or Python and using QuickSight for visualization
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