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Amazon Development Centre (India) Private Limited - S55 in Hyderabad is seeking a Risk Analyst for the Buyer Risk Prevention (BRP) team to analyze terabytes of data, identify specific fraud patterns, and build scalable metrics and dashboards to support risk controls across Amazon's marketplaces. You will work with BI engineers and data scientists to translate insights into actionable improvements.
The role emphasizes cross-functional collaboration, clear communication of complex analysis, and
Job ID: 10410821 | Amazon Development Centre (India) Private Limited - S55
Have you ever thought about what it takes to detect and prevent fraudulent activity in hundreds of millions of eCommerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and emerging fraud threats?
Our mission in Buyer Risk Prevention (BRP) is to make Amazon.com the safest place to transact online. BRP safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers. As such, BRP designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com.
As a Risk Analyst in BRP, you will be responsible for analyzing terabytes of data to identify specific instances of risk, broader risk trends and points of customer friction. You will develop scalable solutions for fraud prevention. In addition, you will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities.
Our team consists of Business Analysts, Data Scientists, Business Intelligence Engineers and Applied Scientist rolling under the core Buyer Risk Prevention Machine Learning Team. We evaluate instances of organized buyer fraud attacks on Amazon platform WW across various payment methods. We collaborate closely across multiple functions in order to mitigate these attacks through various short and long term solutions.
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