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Risk Manager II
Risk Manager II-April 2024
Uttar Pradesh
Apr 30, 2025
ABOUT AMAZON
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10,000+ employees
Technology
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About Risk Manager II

  Description

  Amazon's Bad Actor Disincentives (BAD) team works to ensure that bad actors cannot profit from using our services to abuse Customers, Selling Partners or our Store. The team works to ensure that unsuitable/illegal inventory within our network is identified and destroyed rather than being returned to the stream of commerce, and to deny our fulfillment network as a means for bad actors to scale their abuse. If we successfully achieve our vision, then Bad Actors will stop committing misconduct on Amazon. While we obsess over customers, we specialize in obsessing over bad actors to identify their friction points and multiply them exponentially in ways that don’t impact good sellers. Our vision is to ensure Bad Actors never receive a dollar from selling on Amazon and abusing our policies. This is done with minimal friction for good sellers, clearly communicated policies, and accurate calculations. If we successfully achieve our vision, then Bad Actors will stop committing misconduct on Amazon.

  We are looking for an experienced Risk Manager II to own complex projects, take high judgement decisions and manage escalations associated with our program’s expansion. In addition to making the right decisions, the candidate will need to be able to use SQL knowledge and use data as evidence to convince/influence key stakeholders.

  Key job responsibilities

  • Innovating and designing new or improved processes to support the business needs.

  • Conducting detailed process analysis including time and motion studies, and safety/ergonomic, process complexity, cost and impact analysis.

  • Maintain a strong understanding of best in class risk and control principles, and regulatory expectations – embed governance processes to perform recurring gap analysis against those expectations, and drive remediation where necessary.

  • Identify and develop appropriate data sources and elements which contribute to risk-based assessments.

  • Experience working in or supporting a fast-paced operations environment.

  • Perform operational deep dives on compliance-related processes and systems. Understand business processes, regulations and controls, work with partners to identify root cause of issues.

  • Take leading role in drafting and presenting deep-dive documents, including responses to senior executives and Correction of Errors (COE) reports.

  • Analyze existing policy and process gaps, and develop solutions to close them.

  We are open to hiring candidates to work out of one of the following locations:

  Bangalore, IND | Hyderabad, IND | Virtual Location - AP | Virtual Location - KA | Virtual Location - MH | Virtual Location - MP | Virtual Location - RJ | Virtual Location - TS | Virtual Location - UP | Virtual Location - WB

  Basic Qualifications

  • Bachelor's degree required.

  • 3-5 years of Risk/Project Management experience.

  • Experience in applying Math/Stat/analytical tools to generate process improvements

  • Microsoft Office products (Excel, PowerPoint, Word, Visio, and MS Project) and SQL.

  • Demonstrated written communication skills - able to write, clearly and succinctly

  • Demonstrated experience working with cross departmental teams with collaboration skills

  • Flexible to work on case triaging and escalation handling.

  Preferred Qualifications

  • Presentation, Influencing and communication skills

  • Experience working in risk, fraud or compliance organizations

  • High level of integrity and discretion to handle confidential information

  • Ability to bring clarity to ambiguous situation

  • Demonstrated analytical and quantitative skills to use hard data and metrics to back up assumptions and develop business cases

  • Ability to work with all levels of Associates and Managers and work effectively in a team environment.

  • Willing to move quickly and decisively to resolve an incident

  • Analytical thinking with a natural tendency to use data in decision-making and prioritization

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