Risk Manager (2LoD, Model Risk Validation), Risk and Compliance Solutions
Job Summary
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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- Bachelors degree or Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- 4 years of working with or evaluating AI systems experience
- 3 Experience in internal audit and risk management or equivalent
- Experience in English-language communication skills both written and verbal
- Experience communicating to senior management and customers verbally and in writing
- Masters degree
- Experience in processing data with a massively parallel technology (such as Redshift Teradata Netezza Spark or Hadoop based big data solution)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Manager
About Company
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