DESCRIPTION
Amazon is seeking a data-driven, highly motivated Risk Manager of Corporate Fraud Prevention to support Vendor Investigations & Transaction Accuracy’s (VITA) growth into Corporate Fraud detection within Accounts Payable in Pune. We are looking for a technical-minded strong leader who has a proven track record of managing investigative teams, investigating vendor fraud in procure-to-pay lifecycle and building systems to detect fraud the moment it hits the financial system. The leader will take ownership of investigations to root out bad actors and develop junior investigators to do the same. This individual will ensure Amazon’s Finance Operations stays ahead of risks while working collaboratively and effectively with multiple stakeholders, businesses, and leaders is a highly visible role. A successful candidate is comfortable working deep in large data sets from disparate sources using multiple analytic tools to derive patterns and assumptions. A successful candidate can communicate recommendations and findings to senior leaders at a high level. If you thrive on independence, autonomy, this role is for you.
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.
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 leading fraud investigation teams
· 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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