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Amazon - Risk Manager

Amazon - Risk Manager

AmazonBangalore, India
30+ days ago
Job description

About the Role

Amazons Payments Risk organization is looking for a highly motivated Model Risk Manager to support the implementation of our Model Risk Management (MRM) framework, lead governance efforts, and independently validate AI / ML models used across the business.

In this highly visible role, youll partner with cross-functional teams including Legal, Compliance, Tech, Risk, and Business to drive risk-informed decisions and ensure adherence to regulatory requirements in the use of AI / ML.

Key Responsibilities

  • Lead governance and compliance activities for AI / ML-based risk models.
  • Implement risk management processes in alignment with global regulatory guidance.
  • Manage end-to-end AI / ML model lifecycle activities, including intake, approval, documentation, and validation.
  • Collaborate with Enterprise Architecture and data science teams to assess AI / ML use cases.
  • Maintain a centralized AI / ML model inventory with risk documentation and controls.
  • Provide training and stakeholder education on AI / ML risk processes and standards.
  • Partner with Legal, Compliance, and senior stakeholders to challenge and improve new model use cases.
  • Support strategic initiatives to align model risk controls with Amazons enterprise AI strategy.

Basic Qualifications

  • Bachelors degree in Financial Engineering, Statistics, Mathematics, Computer Science, or related field.
  • 6+ years of experience in model development, validation, or risk governance (preferably in AI / ML environments).
  • Hands-on knowledge of SQL, Python, R, C++, or similar tools.
  • Experience with Big Data technologies (e.g., Hadoop) and AWS is a strong plus.
  • Proven track record in establishing model risk frameworks from scratch.
  • Strong understanding of data governance, risk controls, and regulatory compliance.
  • Excellent communication and stakeholder management skills.
  • Preferred Qualifications

  • Masters degree in a quantitative field.
  • Deep experience working with financial services, payments, or regulatory risk models.
  • Familiarity with AI / ML risk regulations (e.g., SR 11-7, OCC, EU AI Act, etc.).
  • Experience building and presenting insights using AWS technologies and enterprise-scale data pipelines.
  • Ability to influence without authority and drive consensus across teams.
  • (ref : iimjobs.com)

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    Risk Manager • Bangalore, India

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