Risk Manager (2LoD, Model Risk Validation), Risk and Compliance Solutions, Risk and Compliance Solutions

We are seeking a highly motivated Model Risk Manager for Amazons Payments Risk organization who will assist in implementing the model risk management framework support model risk governance activities and perform independent model this highly visible role you will also be responsible for working with a range of stakeholders including Legal Compliance Tech Operations1LoD Risk and business teams to develop a detailed understanding of models that drive critical decisions validate models and influence the business to mitigate and manage model risks.

Key job responsibilities
Drive vision and execution of tactical elements of governance and compliance activities for AI and machine learning (ML) risk models.
Assist in managing AI/ML risk management processes in alignment with regulatory requirements.
Work with stakeholders and team members to ensure requisite activities associated with AI/ML regulatory guidance occur.
Work with team members and leadership to prepare content and facilitate key stakeholder and working group meetings.
Work with key stakeholders to ensure requisite activities within the enterprise AI/ML Risk Management Standard occur
Work with key stakeholders on identifying heightened risks controls and value of prospective Al/ML use cases.
Work with Enterprise Architecture and data scientists to create and sustain a comprehensive Al/ML use intake process.
Maintain the comprehensive inventory of Al/ML use cases evidence of review and approval and associated documentation.
Partner with other functions (e.g. Legal Compliance) on requisite review and effective challenge of new Al/ML use cases.
Partner with subject-matter-experts and strategic leaders to ensure execution of requisite control activities as articulated in the enterprise Al/ML strategy.
Work with internal stakeholders to develop and deliver training content and socialization about AI/ML risk processes and controls


A day in the life
You will serve as the primary subject matter expert for creating and overseeing the model risk management policy independent governance of model risk and validating and performing model validation. Your role will include working with the operations teams and Boards to drive models that effectively mitigate the risks to our sellers and buyers and meet regulatory requirements and mitigate financial crime operational financial strategic and customer risk. As you do this youll be working within a global team of risk and compliance 2LoD Amazonians across the globe.

About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

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- 3 years of risk management experience including building testing implementing and validating models in financial services technology payments merchant/acquiring audit/consulting business software retail or online services companies (preferably AI/ML models)
- Bachelors degree in Financial Engineering Financial Mathematics Mathematics Statistics Computer Science or related field OR equivalent knowledge gained from relevant experience
- Proven ability to manage difficult risk programs across multiple teams with experience designing and implementing model risk management programs or processes from the ground up
- Strong data analysis and technical skills including knowledge of SQL and Big Data technologies like Hadoop or similar; experience developing pricing and risk models using Python R or C is a plus
- Excellent written and spoken communication skills with ability to transform complex risk concepts into clear documentation and influence business decisions across stakeholders; knowledge of data management fundamentals and data storage principles

- Masters degree
- Experience leading and influencing your team or organization
- Experience in written and oral communication including the ability to communicate with all levels in the organization (technical business executive)
- Experience with big data: extraction processing filtering and presenting large data quantities via AWS technologies SQL and data pipelines
- Strong analytical and quantitative skills to understand and validate models effectively

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