Analyst - Fraud Prevention Job in Amazon

DESCRIPTION

Job Description
Amazon is seeking a Financial Analyst to support the Finance Operations Risk Management Services in Accounts Payable at Amazon. We are looking for a strong leader that will take ownership and drive change in a dynamic global business environment. This individual will ensure Amazon's Finance Operations processes stay ahead of risks in areas of process design, internal control effectiveness, computer system integration, and other relevant areas through a culture of continuous inspection of our processes, systems, and key business initiatives.

Key Responsibilities:

Carry out the vision and mission of TERA team to prevent, detect, and investigate issues of potential fraud and financial abuse by employees within the company
Review employees expense reimbursements and spend on corporate cards for compliance with Amazon Travel and Expense reimbursement policy
Maintain productivity targets and timelines
Understand and follow Amazons policies and procedures on expense reimbursements and corporate cards
Identify and clearly define issues and root causes for the potential fraud and financial abuse by the employees and provide recommendations on controls to mitigate the risk
Support each team member, including other Finance Operations teams, on any activities assigned to the team as a whole

BASIC QUALIFICATIONS

Basic Qualifications

MBA/Post graduate degree in finance
Minimum of 3+ years of relevant professional experience in accounts payable, expense reimbursement audits or corporate cards fraud
Experience in data analysis using Excel, VBA etc

PREFERRED QUALIFICATIONS

Work experience in public accounting or internal audit or external audits. Prior Forensic experience or CFE would be an added advantage
Ability to work as a team player in a fast-paced, dynamic environment
Excellent organizational and prioritization skills with the ability to handle multiple tasks simultaneously
Strong leadership and analytical skills, and ability to work independently and in a team environment
Strong interpersonal skills, including persuasive written and oral communication skills
Strong forensic data analysis skills with experience writing SQL or Python and using Tableau or QuickSight for visualization