The selected individual must have a passion for fraud prevention and analytics who can drive efficiencies with those around them through effective lateral and upward management. The Corporate Fraud Prevention program is one of many fraud prevention programs in Finance Operations with the ultimate goal of preventing fraud, waste, and abuse across Amazon. The leader will work with global Corporate AP, Finance, Legal, and technical support teams.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Key Responsibilities :

- Develop a team of fraud investigators from all levels of experience

- Execute complex investigations, deep dives, and special projects in a timely manner while communicating recommendations and findings to management and other stakeholders

- Summarize evidence, facts and next steps to leaders at all levels in periodic business reviews

- Exercise judgement and bias for action to escalate incidents of fraud in a highly controlled environment

- Coordinate with multiple Program Managers across global AP, fraud and Business teams to support Finance Operations- responsibilities in the area

- Drive productivity of the Operations teams that support investigations by creating efficient processes and iterating on those processes

- Carry out the vision and mission of VITA to prevent, detect, and investigate issues of erroneous payments to vendors

- Understand and follow Amazon's policies and procedures on invoice entry and transaction processing for Corporate vendors

Basic qualifications :

- Bachelor's Degree in a relevant field, such as Accounting, Computer Science, Operations, Business, Mathematics or Finance

- 6+ years of Finance, audit, procurement, fraud investigation or related experience

- 5+ years conducting fraud investigations

- 3+ year using SQL, Python or other related data querying language

- Strong forensic data analysis skills with experience navigating large datasets

- Strong leadership and analytical skills with the ability to work across geographies to meet the team's objectives

Preferred qualifications :

- Professional forensic-related certification (CPA, CIA, PMP, CFE, CAMS)

- Proficiency in forensic data analysis, data modeling and/or data mining techniques to detect patterns of fraud

- Experience working in a high paced environment with a high degree of ambiguity

- Direct management of virtual or internationally distributed team

- Work experience in public accounting or internal audit or external audits and SOX compliance practice

- Excellent organizational and prioritization skills with the ability to handle multiple tasks simultaneously

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