Amazon

Risk Specialist I, Vendor Investigations and Transaction Accuracy

Posted On

Feb. 23, 2026

Location

Pune, Maharashtra

Experience Level

Freshers/Experienced

Job Type

Investigation & Loss Prevention

Apply By

March 17, 2026

Job Description

Amazon's Vendor Investigations and Transaction Accuracy (VITA) team safeguards our global financial systems by preventing theft, fraud, and abuse. We identify and block bad actors who threaten our business, proactively detecting emerging fraud trends through cross-business collaboration before they escalate.

We're seeking a highly motivated Investigations Specialist (IC) for our Corporate Fraud Investigations team in Pune, India. Join a dynamic team of experienced investigators to identify fraudulent activities and investigate potential corporate fraud incidents. The candidate will conduct thorough investigations, uncover root causes of fraud, and implement controls to mitigate risks.

The ideal candidate is a strong investigator with outstanding communication and writing skills who thrives in fast-paced, ambiguous environments. The candidate will encourage colleagues to think critically and unearth evidence supporting corporate fraud investigations, with exceptional attention to detail and commitment to high-quality work.

Key Responsibilities:

Proactively and reactively screen high-risk vendors to detect potential fraud
Investigate escalated vendor concerns to assess fraud and collusion risks
Collaborate with cross-functional teams and external stakeholders to resolve vendor appeals and ensure accuracy
Leverage AI-powered database tools and advanced risk indicators to detect connections between vendors and known bad actors
Analyze and assess corporate fraud cases, identify root causes, and recommend effective controls
Utilize AI tools to enhance investigation efficiency and pattern recognition

Key job responsibilities
Vendor Investigations & Transaction Accuracy (VITA) is a critical vertical within Amazon's Global Finance Operations (FinOps), with a mission to identify, prevent, and recover erroneous, fraudulent, or wasteful payments made to vendors globally. Leveraging AI-powered rule-based models and advanced machine learning (ML) techniques, VITA proactively detects duplicate or fraudulent invoices, data anomalies, and potentially fraudulent vendors in both corporate and retail sectors.

VITA's work spans across multiple domains, including:

Anomaly Review: Detecting unusual or suspicious patterns in transaction data using AI-driven analytics
Corporate Fraud (Non-Inventory): Investigating and mitigating fraudulent activities in corporate operations with focus on financial audit integrity
Retail Fraud: Identifying fraudulent activities specifically within the retail domain
Duplicate Review: Preventing duplicate payments and invoices within vendor systems through automated detection

The VITA team is a global network of specialists, product managers, and investigators working collaboratively to ensure financial integrity across vendor transactions worldwide. The team combines data-driven insights and advanced technologies to proactively prevent financial loss due to fraud and error.

Key Responsibilities:

Triage red flags highlighted by AI-powered investigation tools, providing timely and relevant financial audit analysis, and coordinating response efforts with multiple stakeholders and contributors
Produce clear and concise investigation reports, dispositions, and deep-dive financial analysis, ensuring all case details are cohesively documented with focus on corporate fraud patterns
Own the full investigative lifecycle, including managing databases, documenting results, and updating case management tools
Develop and maintain relationships with cross-functional teams and external stakeholders.
Present investigative findings and financial audit briefings to senior management, assisting with case management when necessary
Conduct thorough forensic financial investigations using AI-enhanced data analysis tools, completing investigations within established timelines with emphasis on corporate fraud detection
Leverage machine learning models to identify gaps, risks, and areas for improvement in current mechanisms, policies, and SOPs, and recommend or implement appropriate solutions
Collaborate with technical teams to identify technology gaps, articulate AI feature needs, and prioritize feature launches to enhance fraud detection capabilities
Drive broader risk mitigation activities in partnership with teams such as Business Conduct and Ethics , Worldwide Operations Security, Business teams focusing on corporate fraud prevention and financial control integrity
Provide coaching and guidance to team members, supporting cross-skilling and skill development across the team through data-driven insights

About the team
Vendor Investigations & Transaction Accuracy (VITA) is a critical vertical within Amazon’s Global Finance Operations (FinOps), aligned with the Theft, Fraud, Abuse, and Waste (T-FAW) program. VITA’s primary mission is to identify, prevent, and recover erroneous, fraudulent, or wasteful payments made to vendors across the globe. Using a combination of rule-based models and advanced machine learning (ML) techniques, VITA proactively detects duplicate or fraudulent invoices, data anomalies, and potentially fraudulent vendors, spanning both the corporate and retail sectors.

VITA’s work encompasses the following areas:

Anomaly Review: Identifying unusual or suspicious patterns in transactional data.

Corporate Fraud (Non-Inventory): Investigating and mitigating fraudulent activities within corporate operations.

Retail Fraud: Detecting and addressing fraudulent activities specifically within the retail domain.

Duplicate Review: Identifying and preventing duplicate payments or invoices across vendor systems.

The VITA team is a global network of specialists, product managers, and investigators working collaboratively to prevent financial losses caused by fraudulent activity. The team employs advanced data analysis and cutting-edge technology to ensure the integrity of vendor transactions worldwide.- Bachelor's degree or equivalent in Commerce , Finance ,Criminal Justice, Security, Law Enforcement, or Business
- Experience Requirements
- 2-5 years of professional experience in fraud detection, investigation, or compliance roles
- Background in data analysis, auditing, or risk assessment

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