DESCRIPTION : 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
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 skilled 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

📌 Risk Specialist I, Tera Hyderabad (India)
🏢 ADCI HYD 13 SEZ
📍 India