Risk Manager

About the Role

Payments Risk

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).

• SQL

• Big Data technologies

• 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.

Why Join Us

global, inclusive team