Amazon Risk Manager 2LoD Model Validation 

India, Karnataka 

668756135

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, you'll be working within a global team of risk and compliance 2LoD Amazonians across the globe.

- A Bachelor’s Degree or above in Financial Engineering, Financial Mathematics, Mathematics, Statistics or Computer Science major preferred.
- 6+ years of building, testing, implementing and validating models in a financial services technology, payments, merchant/acquiring, audit/consulting, business software, retail or online services company (preferably AI/ML models)
- 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.
- Experience in designing and implementing new model risk management programs or processes from the ground up.
- Excellent written and spoken communication skill
- Knowledge of data management fundamentals and data storage principles