Risk Manager, Risk Quantification & Analytics, Global Risk & Business Continuity

DESCRIPTION
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Amazon is seeking a highly analytical Risk Manager to join the Global Risk \& Business Continuity team within Compliance \& Data Integrity (CDI), transforming Global Operations Support Services (GOSS) from reactive risk identification to proactive risk quantification. In this role you will build and maintain the risk modeling infrastructure that translates operational disruptions, vulnerabilities, and resilience gaps into quantified financial and operational impact scenarios — giving senior leaders the data\-driven risk signals they need to make strategic decisions across the infrastructure portfolio.

You will own the development of risk quantification models, forecasting frameworks, and scenario analyses. You'll build repeatable data pipelines from messy operational inputs, create reporting and dashboards that make risk exposure visible, and partner with senior risk leaders to turn business questions into quantitative approaches that hold up under scrutiny. This role requires a combination of analytical depth, data fluency, and communication skills to make operational risk measurable, visible, and actionable across the organization.

Key job responsibilities

• Design, build, and maintain risk quantification models including scenario analyses, sensitivity models, and financial impact forecasts


• Develop repeatable data pipelines that ingest operational, compliance, and financial data to feed risk models


• Partner with Risk Assessment leads to translate business questions into quantitative approaches and validate model assumptions


• Create dashboards, visualizations, and reporting mechanisms that make risk exposure visible and actionable for senior leaders


• Partner with Enterprise Data Governance \& Standards to define data quality requirements for risk model inputs and validate data pipeline reliability


• Identify data quality gaps and work with Data Governance teams to improve input reliability


• Iterate on methodology based on model performance, stakeholder feedback, and emerging risk drivers


• Document models and methodologies to enable peer review and organizational knowledge transfer


• Support scenario planning exercises with quantitative outputs that inform business continuity and capital allocation decisions

About the team

The Compliance \& Data Integrity (CDI) vertical under GOSS ensures Amazon's operations are compliant, resilient, and built on trusted data. The Global Risk \& Business Continuity function quantifies operational risk to influence strategic decisions across the infrastructure portfolio, translating disruptions and resilience gaps into financial and operational impact scenarios.

This function is distinct from Compliance Operations (adherence to rules) and Strategic Enablement (capital decisions). Global Risk provides the quantified risk signals both rely on \- drawing on Data Governance for inputs, Regulatory Strategy for external drivers, and Compliance Operations for control effectiveness data.BASIC QUALIFICATIONS
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• Experience in functional or operational data analysis, based on large volumes of data


• Proven experience in risk management, quantitative risk analysis, or a related analytical field


• Experience building or maintaining risk models, scoring frameworks, or quantitative assessment methodologies


• Ability to communicate complex analytical outputs as clear business recommendations to senior managers and directors


• Bachelor's degree in Statistics, Mathematics, Risk Management, Finance, Engineering, Data Science, or equivalent experience

PREFERRED QUALIFICATIONS
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• Master's degree in statistics, business analytics, data analytics, data science, computer science or related field


• Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)


• Experience with probabilistic modeling techniques (Monte Carlo simulation, Bayesian analysis, regression\-based forecasting)


• Knowledge of risk frameworks (ISO 31000, COSO ERM) and how quantitative models support them


• Background in operational risk, insurance/actuarial, or infrastructure risk contexts

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy\_page) to know more about how we collect, use and transfer the personal data of our candidates.

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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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