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Amazon • Bogotá, Bogota D.C., Colombia
Salary: 500 compa
Role & seniority: Model Risk Manager (risk/controls-focused, individual contributor with potential leadership elements; precedents point to senior analyst/manager level)
Stack/tools: SQL; Big Data tech (e.g., Hadoop or equivalents); Python, R, or C++ for modeling; AWS ecosystem; AI/ML risk governance frameworks and enterprise AI/ML risk standards
Lead governance and compliance activities and independent model validation for AI/ML risk models
Collaborate with Legal, Compliance, Operations, 1LoD risk, and business teams to ensure AI/ML risk processes and regulatory guidance are enacted
Maintain risk documentation, manage use-case intake, and facilitate stakeholder meetings; drive control activities per AI/ML risk strategy
3+ years in risk management with experience building/testing/validating models in financial services or related sectors (preferably AI/ML)
Bachelor's in Financial Engineering, Mathematics, Statistics, CS, or related field (or equivalent experience)
Strong data analysis and technical skills (SQL; Big Data tech); ability to document complex risk concepts and influence stakeholders
Proven experience designing/implementing model risk management programs
Master’s degree
Leadership/people-influence experience
Experience communicating with technical, business, and executive audiences
Experience with big data workflows, AWS technologies, data pipelines, a
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.
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.
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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic
Qualifications: - 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; 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 Preferred Qualifications: - 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
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
https: //amazon.jobs/content/en/how-we-hire/accommodations
[https: //amazon.jobs/content/en/how-we-hire/accommodations] for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.