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We are seeking a highly motivated Model Risk Manager for Amazon’s Payments Risk organization, who will assist in implementing the model risk management framework, support model risk governance activities, and perform independent model validation. In this highly visible role, you will also be responsible for working with a range of stakeholders including Legal, Compliance Tech, Operations,1LoD 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.
Job Responsibility:
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
Requirements:
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)
Bachelor's 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
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
Nice to have:
Experience developing pricing and risk models using Python, R, or C++ is a plus
Master's 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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