Amazon
Senior Fraud Investigator, Fraud Investigation, Recovery and Enforcement
Hyderabad, Telangana, IND
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hirly's read of this role
- Seniority
- Senior
- Country
- IN
- Work mode
- On-site / unstated
- First seen by hirly
- 5 Nov 2026
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the posting
Investigator, Retail Fraud Prevention
- Summary
- Join Amazon's Fraud Prevention team and help protect our financial systems by investigating and preventing fraudulent payments to suppliers and vendors globally. You'll work with sophisticated transactional data to identify emerging fraud schemes, lead complex investigations, and develop detection systems that stop fraud before it impacts our business.
- About the Team
- We are a collaborative team within Finance Operations dedicated to detecting and preventing fraudulent payments across Amazon's global operations. Our work is grounded in data—we use signals from invoices, payments, and transactional records to identify threats and emerging fraud schemes. We partner closely with colleagues in Accounts Payable, Finance, Legal, and technical support to stay ahead of risks and protect the integrity of our financial systems. Our vision is to build a fraud prevention program that evolves with emerging threats, and we're looking for someone who shares our commitment to this mission and can help us develop other investigators and strengthen our detection capabilities.
- Key Job Responsibilities
- Conduct thorough investigations into suspected fraudulent vendor payments, analyzing complex datasets and digital evidence to identify patterns and build comprehensive cases
- Develop and implement detection systems and prototypes that identify new fraud schemes and prevent fraudulent payments from entering our financial system
- Prepare detailed case summaries and evidence documentation with clear findings and recommendations for stakeholders, Legal, and law enforcement referrals
- Communicate investigation results and strategic recommendations to senior leaders through periodic business reviews and updates
- Collaborate with cross-functional teams to streamline investigation processes, improve efficiency, and establish reporting systems that support investigation goals
- Basic Qualifications
- Bachelor's degree or equivalent
- 6+ years of compliance, audit or risk management experience
- Experience applying AI and machine learning to build detection mechanisms, automate investigation workflows, and reduce cycle time
- Demonstrated ability to analyze large datasets and identify patterns indicative of fraud or financial irregularities
- Strong written communication skills with the ability to document complex investigations clearly and concisely
- Advanced use of Excel and statistical analysis applications, experience with Microsoft office including Outlook, Word and Excel
- 1+ years minimum experience with SQL
- Experience communicating complex information and solutions to senior stakeholders and influencing decisions
- Preferred Qualifications
- Experience leveraging technology and implementing lean principles/Six Sigma methodologies to drive process improvement or equivalent
- Masters degree or equivalent
- Knowledge of intermediate SQL
- Background in financial crime investigation or forensic accounting
- A day in the life
- As an Investigator for Retail Fraud Prevention, you'll dive into complex financial data to uncover patterns that signal potential fraud, waste, or abuse in our vendor payment processes. Your day might include analyzing large datasets and digital evidence to build a compelling case, collaborating with colleagues across Finance, Legal, and technical teams to validate your findings, and presenting clear recommendations to senior leaders. You'll design new detection systems and refine investigation processes to improve how our team operates. This role sits at the intersection of data analysis and investigative work, where your insights directly influence how we protect Amazon's financial operations.
- About the team
- We have a mission to prevent erroneous payments globally for Amazon. Our customers are Amazon's shareholders, as well as the teams that we support to close investigations. The individual will investigate complex financial fraud cases while inventing new ways to detect fraud. The individual will work with team members all over the globe including U.S., Costa Rica, Slovakia, India and U.K.
Basic qualifications
- - 6+ years of compliance, audit or risk management experience
- - 1+ years of SQL (Structured Query Language) experience
- - Experience with advanced use of Excel and using statistical analysis applications, or experience with Microsoft Office including Outlook, Word, and Excel
- - Experience communicating complex information and solutions to senior stakeholders and influencing decisions, or experience researching and documenting support for accounting conclusions
- - Bachelor's degree in Finance & Accounting, Business economics or a Bachelor's degree or equivalent and experience in multiple finance and accounting roles
- - Experience applying AI and machine learning to build detection mechanisms, automate investigation workflows, and reduce cycle time
- - Demonstrated ability to analyze large datasets and identify patterns indicative of fraud or financial irregularities
- - Strong written communication skills with the ability to document complex investigations clearly and concisely
Preferred qualifications
- - Experience leveraging technology and implementing lean principles / Six Sigma methodologies to drive process improvements or equivalent
- - Master's degree or equivalent
- - Knowledge of SQL at the intermediate level
- - Background in financial crime investigation or forensic accounting
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Listed on hirly, a job board. hirly is not the employer: Amazon is hiring for this role.
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