Risk Manager (2LoD, Model Risk Validation), Risk and Compliance Solutions, Risk and Compliance Solutions
Job Description
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 controlsA day in the lifeYou 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 teamInclusive team culture: At Amazon we embrace our differences and we are committed to furthering our culture of inclusion. We host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Locations
- India, KA, Bengaluru, Bengaluru, KA, India
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
15,000,000 - 35,000,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- • Knowledge of SQL and Big Data technologies like Hadoop or similarintermediate
- • Experience developing pricing and risk models using Python, R or C++ is a plus.intermediate
- • Experience in designing and implementing new model risk management programs or processes from the ground up.intermediate
- • Knowledge of data management fundamentals and data storage principlesintermediate
Required Qualifications
- • A Bachelor’s Degree or above in Financial Engineering, Financial Mathematics, Mathematics, Statistics or Computer Science major preferred. (degree in above in financial engineering)
- • 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) (experience, 6 years)
- • Knowledge of SQL and Big Data technologies like Hadoop or similar (experience)
- • Experience developing pricing and risk models using Python, R or C++ is a plus. (experience)
- • Experience in designing and implementing new model risk management programs or processes from the ground up. (experience)
- • Excellent written and spoken communication skill (experience)
- • Knowledge of data management fundamentals and data storage principles (experience)
Preferred Qualifications
- • Strong analytical and quantitative skills to understand and validate models effectively (experience)
- • Ability to effectively communicate in written and verbal form across functional groups within the company, with Clients, Customers and Vendors, as well as Senior Management. (experience)
- • Experience with big data: extraction, processing, filtering, and presenting large data quantities via AWS technologies, SQL, and data pipelines (experience)
- • Ability to manage through influence (experience)
- • Master's degree (degree)
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
Documents
Tags & Categories
Risk Manager (2LoD, Model Risk Validation), Risk and Compliance Solutions, Risk and Compliance Solutions
Job Description
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 controlsA day in the lifeYou 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 teamInclusive team culture: At Amazon we embrace our differences and we are committed to furthering our culture of inclusion. We host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Locations
- India, KA, Bengaluru, Bengaluru, KA, India
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
15,000,000 - 35,000,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- • Knowledge of SQL and Big Data technologies like Hadoop or similarintermediate
- • Experience developing pricing and risk models using Python, R or C++ is a plus.intermediate
- • Experience in designing and implementing new model risk management programs or processes from the ground up.intermediate
- • Knowledge of data management fundamentals and data storage principlesintermediate
Required Qualifications
- • A Bachelor’s Degree or above in Financial Engineering, Financial Mathematics, Mathematics, Statistics or Computer Science major preferred. (degree in above in financial engineering)
- • 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) (experience, 6 years)
- • Knowledge of SQL and Big Data technologies like Hadoop or similar (experience)
- • Experience developing pricing and risk models using Python, R or C++ is a plus. (experience)
- • Experience in designing and implementing new model risk management programs or processes from the ground up. (experience)
- • Excellent written and spoken communication skill (experience)
- • Knowledge of data management fundamentals and data storage principles (experience)
Preferred Qualifications
- • Strong analytical and quantitative skills to understand and validate models effectively (experience)
- • Ability to effectively communicate in written and verbal form across functional groups within the company, with Clients, Customers and Vendors, as well as Senior Management. (experience)
- • Experience with big data: extraction, processing, filtering, and presenting large data quantities via AWS technologies, SQL, and data pipelines (experience)
- • Ability to manage through influence (experience)
- • Master's degree (degree)
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