Responsibilities
Drive vision and execution of governance and compliance activities for AI and ML risk models.
Assist in managing AI/ML risk management processes in alignment with regulatory requirements.
Collaborate with stakeholders to ensure requisite activities associated with AI/ML regulatory guidance occur.
Prepare content and facilitate key stakeholder and working group meetings with team members and leadership.
Ensure requisite activities within the enterprise AI/ML Risk Management Standard are performed.
Identify heightened risks, controls, and value of prospective AI/ML use cases with key stakeholders.
Work with Enterprise Architecture and data scientists to create and sustain a comprehensive AI/ML use intake process.
Maintain the comprehensive inventory of AI/ML use cases, evidence of review/approval, and associated documentation.
Partner with other functions (e.g., Legal, Compliance) on requisite review and effective challenge of new AI/ML use cases.
Collaborate with subject-matter experts and strategic leaders to ensure execution of control activities as articulated in the enterprise AI/ML strategy.
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 includes working with operations teams and Boards to drive models that effectively mitigate risks to our sellers and buyers, meet regulatory requirements, and mitigate financial crime, operational, financial, strategic, and customer risk.
You will be part of a global team of risk and compliance professionals across the globe.
About the team
You will join a small global team of 15+ nationalities and diverse experience from different sectors, where we value inclusive team culture, work-life harmony, mentorship, and career growth.
Basic Qualifications
A Bachelor's Degree or above in Financial Engineering, Financial Mathematics, Mathematics, Statistics, or Computer Science (preferred).
6+ years of building, testing, implementing, and validating models in finance-related fields (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 skills.
Knowledge of data management fundamentals and data storage principles.
Preferred Qualifications
Strong analytical and quantitative skills to understand and validate models effectively.
Ability to communicate in written and verbal form across functional groups within the company, with clients, customers, vendors, and senior management.
Experience with big data: extraction, processing, filtering, and presenting large data quantities via AWS technologies, SQL, and data pipelines.
Ability to influence through collaboration and leadership.
Master's degree.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
If you have a disability and need workplace accommodations during the application and hiring process, including support for the interview or onboarding, please visit for more information.
If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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📌 Risk Manager (2Lod), Risk And Compliance Solutions
🏢 Amazon
📍 Trento