Abuse Risk Investigator: Enhancing E-commerce Trust

6 days ago

Hyderabad, Telangana, India myGwork Full time

Are you passionate about detecting and preventing abusive activity in the e-commerce world?

This role is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Job Description:

We are seeking a highly skilled Abuse Risk Investigator to join our team at Amazon. As an Abuse Risk Investigator, you will play a critical role in making Amazon.com the safest place to transact online.

The Abuse Risk Mining team safeguards every financial transaction across all Amazon sites while striving to ensure that these efforts are transparent to our legitimate customers. We build operational processes that minimize risk and loss, and maximize trust in Amazon.com.

You will work closely with the Analytics and Machine Learning teams to ensure seamless resolution to difficult & complex cases with similar patterns across Amazon. This requires high bias for action and deep dive skills as identifying and prioritizing large sets of data is required with high accuracy to utilize bandwidth efficiently.

The team has the ability to dynamically change goals mid-way based on changes noticed in different stores, abuse patterns, attacks etc.

As an Abuse Risk Investigator, your key responsibilities will include:

  • Scope and Influence:
    • Mine large data sets and convert investigations into allegations of organized abuse on the Amazon website.
    • Investigate suspicious orders as well as selling and buying behavior that could pose a risk to Amazon.
    • Consistently achieve/exceed weekly targets and quality standards for investigations to reduce the abuse bps and recommend policy changes by identifying new abuse types and existing abuse patterns.
    • Minimize Customer loss and monetary loss to Amazon through invalid concessions.
    • Work on projects that design/improve tools or processes by testing and/or develops recommendations for management.
    • Influence processes, project plans, and stakeholder interactions.
  • Process Improvement:
    • Use a combination of manual and automated tools to obtain information & report bugs.
    • Focusing towards improving customer experience and contributing toward Analytics and ML team goals.
    • Taking appropriate action to identify and help minimize the risk posed by abuse patterns, trends and evolution of known MOs from manual and bulk environment.
    • Identify opportunities and contribute solutions for continuous improvement of investigations.

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