Risk Specialist, Abuse Risk Mining
- Amazon
- 1 - 6 years
- Hyderabad
- 3 months ago
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Job Description
Have you ever thought about what it takes to detect and prevent abusive activity among hundreds of millions of eCommerce transactions across the globeWhat would you do to increase trust in an online marketplace where millions of buyers and sellers transactDo you enjoy working in an entrepreneurial, fast paced environment, solving complex problems and delivering innovative solutionsOur mission in Abuse Risk Mining is to make Amazon com the safest place to transact online and prevent all kind of monitory loss to the company through invalid concessions Abuse Risk Mining safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers As such, ARM builds the operational processes that minimize risk and loss, and maximize trust in Amazon com The ARM Operations team is the group within Buyer Abuse that goes beyond core operations to identify live abuse patterns in the abuse space while working closely with the Analytics and Machine Learning teams to ensure seamless resolution to difficult & complex cases with similar pattern across Amazon This team requires high bias for action and deep dive skills as identifying and prioritizing large set of data is required with high accuracy to utilize the bandwidth efficiently The team has an ability to dynamically change the goals mid-way basis the changes noticed in different stores, abuse patterns, attacks etc ARM plays a critical role in reducing bad debt and providing operational insights into bad debt drivers through clustered investigations and reviews of abusive activity at scale ARM Investigators are deeply knowledgeable of abuse indicators, the platforms and tools required to initiate decisions in bulk ARM is seeking committed & results-oriented candidates with a proven track record to join Abuse org Candidates will be responsible for a wide range of duties related to investigation and elimination of online e-commerce abuse in bulk The ARM position relies on analytical and critical thinking and problem-solving skills including the ability to recommend solutions in an ambiguous & ever-challenging environment Will work on multiple internal tools that help during investigations 2+ years of experience in investigations, risk management2+ years of experience in incident or crisis management, program management, or escalation handling
Demonstrated experience working with cross departmental teams with proven collaboration skills
Ability to think critically with the vision to work both tactically and strategically Ability to function effectively in a dynamic, fast-paced environment while being organized Experience with Microsoft Excel and SQL 6+ Months experience in risk/fraud/abuse investigations
Bachelor s Degree in any quantitative discipline such as Information Systems, Computer Science,
Statistics, Operational Research or Engineering
Experience in working with databases and SQL in a business environment
Prior experience in design and execution of analytical projects
Experience in e-commerce / on-line companies in fraud / risk control functions
Coding skills in one of the modern languages Java, Python, Scala
Experience/knowledge of advanced machine learning techniques such as GBM, random forest
Candidate has demonstrated the ability to begin solving complex investigations or escalations by diving deep to get to the root cause post considering all possible scenarios
Candidate embodies Amazon s Leadership Principles and is a role model amongst their peers
Goes above and beyond the standard SOPs & challenges the status quo to improve process and help in concession reduction programs Is able to critically evaluate and link different non-linear data sets at scale to identify common abusive patterns & challenges the status quo to improve process and help in concession reduction programs Seeks out opportunities across functions to improve and effectively push process improvements by continuously identifying newer abuse and making dynamic changes to existing SOPs
Has a proven record of one or more program improvement task/initiatives driven and closed in existing role
Job Classification
Industry: InternetFunctional Area / Department: Data Science & AnalyticsRole Category: Business Intelligence & AnalyticsRole: Business AnalystEmployement Type: Full timeContact Details:
Company: AmazonLocation(s): Hyderabad+ View Contact
Keyskills: Computer science InfoPath Mining Coding Analytical Process improvement Machine learning Risk management Analytics Python
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