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)