Amazon is seeking a Risk Specialist to assist with identity verification and fraud mitigation for daily freight movements flowing into and out of our North American fulfillment centers and our associated fulfillment network. This is an exciting opportunity to join a new team in a huge growth area for Amazon.Amazon is looking for a Risk Specialist that has a background in transportation, risk management and data driven problem resolution skills. In this role the Transportation Specialist will continuously work with stakeholders to build trust-based relationships in order to investigate suspicious activity and address escalations while creating long-term, systemic solutions for a world-class customer experience. In this role, the Risk Manager will be responsible for a wide range of duties related to identity verification and people managementKey job responsibilities1) Provide data analysis & conduct investigations2) Pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed3) Take appropriate action to identify and help minimize the risk posed by fraud or abuse patterns and trends4) Identify and eliminate root causes of defects in order to drive efficiency in Amazon’s transportation operations5) Understand the business impact of the trends and make decisions that make sense based on available data6) Knowledge to systematically escalate problems or variance in the information and data to the relevant owners and teams7) Work within various time constraints to meet critical business needs, while measuring and identifying activities performed8) Written and verbal communication experience, as you will be required to create a narrative outlining your weekly findings and the variances to goals, and present these finding in a review forum9) Participate in ad-hoc projects and assignments as necessary10) Partner with cross functional teams across Amazon for collaboration on fraud risks and investigations.11) Apply risk management best practices to mitigate issues, identify operational inefficiencies and improve processes.A day in the life1) Define SOPs, document new methods of abuse/frauds, and partner with stakeholder teams to drive gaps to closure2) Constantly monitor metrics to identify deviations, and spot emerging frauds/ MOs that are adopted by bad actors3) Drive program/ process goals independently with minimal to no intervention from leadership4) Partner with multiple fraud/abuse teams to learn and implement industry wide best practices and other identity verification mechanisms5) Manage Operational Hygiene metrics, prepare WBR callouts and sr. leadership review summaries.
Locations
United States, GA, Atlanta, Atlanta, GA, United States
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
75,000 - 105,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
(1) 2+ years’ work experience in logistics/transportation/retail industryintermediate
(2) Experience working on identity verification/ fraud detection/ risk/ compliance processesintermediate
(3) Bachelor’s Degree from an accredited university (4) Intermediate level knowledge of MS Excel based tools; familiarity with Excel spreadsheets and ability to navigate and interpret data through SQLintermediate
Required Qualifications
(1) 2+ years’ work experience in logistics/transportation/retail industry (experience, 2 years)
(2) Experience working on identity verification/ fraud detection/ risk/ compliance processes (experience)
(3) Bachelor’s Degree from an accredited university (4) Intermediate level knowledge of MS Excel based tools; familiarity with Excel spreadsheets and ability to navigate and interpret data through SQL (degree)
Preferred Qualifications
1) Experience in Lean/ Six-Sigma (experience)
2) Experience in manufacturing, transportation, customer service, and/or distribution environments (experience)
3) Data management & data quality control experience with experience pulling and analyzing large sets of data (experience)
4) Knowledge using data to drive root cause elimination and process improvement (experience)
5) Knowledge in data and experience spotting the trends and fixing gaps (experience)
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $50,100/year in our lowest geographic market up to $107,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
Responsibilities
1) Provide data analysis & conduct investigations
2) Pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed
3) Take appropriate action to identify and help minimize the risk posed by fraud or abuse patterns and trends
4) Identify and eliminate root causes of defects in order to drive efficiency in Amazon’s transportation operations
5) Understand the business impact of the trends and make decisions that make sense based on available data
6) Knowledge to systematically escalate problems or variance in the information and data to the relevant owners and teams
7) Work within various time constraints to meet critical business needs, while measuring and identifying activities performed
8) Written and verbal communication experience, as you will be required to create a narrative outlining your weekly findings and the variances to goals, and present these finding in a review forum
9) Participate in ad-hoc projects and assignments as necessary
10) Partner with cross functional teams across Amazon for collaboration on fraud risks and investigations.
11) Apply risk management best practices to mitigate issues, identify operational inefficiencies and improve processes.
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