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About the Role
The Head of Quality and Model Governance plays a crucial role in ensuring the integrity and reliability of models and analytics processes. This role is responsible for establishing and maintaining governance frameworks that oversee the development, validation, and deployment of data models. By embedding quality control measures, you will help mitigate risks associated with inaccuracies and model failures, thereby enhancing decision‑making processes. You will promote best practices and continuous improvement in pricing and research/analytics, supporting the organization to deliver against strategic objectives and escalate risks to Operating Committee members when needed. What’s in it for you This role will support key activities and responsibilities such as: Lead the Commodity Insights division to develop a Model Governance and Model Risk framework for S&P Global that can be scaled across the Enterprise Scale the build-out of model governance principles to foster a robust modeling environment Design and implement a framework for quality measures and controls on End User Computing models (EUCs) within our price assessment business, extendable to research and analytics Coordinate with IT, modeling, and analytics teams to support timely and effective remediation implementation Support model review analysts and pricing quality teams in identifying risks and scalable remediation plans arising from model reviews and price assessments Ensure timely delivery of key milestones related to the model governance framework and pricing quality reviews Conduct analytical deep dives on models to identify risks and implement scalable, enforceable remediation plans Demonstrate adaptability in a changing environment, leveraging AI tools to reduce risk and improve efficiency while understanding tool-related risks Apply advanced statistical knowledge and programming skills to identify areas of risk within the model ecosystem Communicate review findings and remediation plans to senior leadership and escalate when needed Link known risks to ERM taxonomy for informed divisional decisions Use project management skills to meet initiatives and deadlines with high quality Flag obstacles and risks to senior leadership for timely resolution Collaborate across divisions to integrate and centralize modeling activity Develop a deeper understanding of commodities markets through analytical deep dives and cross-team collaboration to foster effective challenge of models Lead two teams of quantitative and analytical professionals in model governance and pricing quality What We’re Looking For Required Qualifications Undergraduate degree required Quantitative mindset with strong knowledge of advanced statistics, mathematics, econometrics, and programming (Python, Matlab, SQL, Eviews, R, VBA, C++) Understanding of model risk and regulatory standards (e.g., SR11-7 or equivalent) 10+ years of experience in model risk or related risk applications Proactive in identifying model risk items to senior leadership and executing key controls Clear written and verbal communication skills for stakeholders Strong project management skills with planning and time management Empathetic leadership with a strong commitment to teamwork Ability to provide clear instruction and manage workflows and diverse personalities Organizational skills to manage multiple workstreams Strong interpersonal skills and ability to collaborate across various expertise and backgrounds Foundational understanding of commodities markets and risk identification/mitigation Self-motivated with desire to learn and engage with experienced colleagues Lean/agile mindset and curiosity Preferred Qualifications MSc or PhD in advanced statistics, econometrics, or mathematics Experience in End-User Computing (EUC) environments Compensation/Benefits Information Anticipated base salary range for this position is $102,000 to $155,888. Final base salary depends on geographic location, experience level, skills, and certifications. In addition to base pay, this role is eligible for an annual incentive plan. Benefits information is available to eligible employees. Right to Work Requirements This role is limited to persons with indefinite right to work in the United States. UK applicants must have the right to work in the UK as applicable. About S&P Global Commodity Insights At S&P Global Commodity Insights, our view of global energy and commodities markets helps customers make decisions with conviction and create long-term value. We connect thought leaders, market participants, governments, and regulators to co-create solutions across oil and gas, power, chemicals, metals, agriculture, and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). For more information, visit the Commodity Insights website. Equal Opportunity Employer S&P Global is an equal opportunity employer. Qualified candidates will be considered for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, veteran status, unemployment status, or any other status protected by law. Only electronic submissions will be considered. Contact for accommodations If you need an accommodation during the application process due to a disability, please email EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
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The Head of Quality and Model Governance plays a crucial role in ensuring the integrity and reliability of models and analytics processes. This role is responsible for establishing and maintaining governance frameworks that oversee the development, validation, and deployment of data models. By embedding quality control measures, you will help mitigate risks associated with inaccuracies and model failures, thereby enhancing decision‑making processes. You will promote best practices and continuous improvement in pricing and research/analytics, supporting the organization to deliver against strategic objectives and escalate risks to Operating Committee members when needed. What’s in it for you This role will support key activities and responsibilities such as: Lead the Commodity Insights division to develop a Model Governance and Model Risk framework for S&P Global that can be scaled across the Enterprise Scale the build-out of model governance principles to foster a robust modeling environment Design and implement a framework for quality measures and controls on End User Computing models (EUCs) within our price assessment business, extendable to research and analytics Coordinate with IT, modeling, and analytics teams to support timely and effective remediation implementation Support model review analysts and pricing quality teams in identifying risks and scalable remediation plans arising from model reviews and price assessments Ensure timely delivery of key milestones related to the model governance framework and pricing quality reviews Conduct analytical deep dives on models to identify risks and implement scalable, enforceable remediation plans Demonstrate adaptability in a changing environment, leveraging AI tools to reduce risk and improve efficiency while understanding tool-related risks Apply advanced statistical knowledge and programming skills to identify areas of risk within the model ecosystem Communicate review findings and remediation plans to senior leadership and escalate when needed Link known risks to ERM taxonomy for informed divisional decisions Use project management skills to meet initiatives and deadlines with high quality Flag obstacles and risks to senior leadership for timely resolution Collaborate across divisions to integrate and centralize modeling activity Develop a deeper understanding of commodities markets through analytical deep dives and cross-team collaboration to foster effective challenge of models Lead two teams of quantitative and analytical professionals in model governance and pricing quality What We’re Looking For Required Qualifications Undergraduate degree required Quantitative mindset with strong knowledge of advanced statistics, mathematics, econometrics, and programming (Python, Matlab, SQL, Eviews, R, VBA, C++) Understanding of model risk and regulatory standards (e.g., SR11-7 or equivalent) 10+ years of experience in model risk or related risk applications Proactive in identifying model risk items to senior leadership and executing key controls Clear written and verbal communication skills for stakeholders Strong project management skills with planning and time management Empathetic leadership with a strong commitment to teamwork Ability to provide clear instruction and manage workflows and diverse personalities Organizational skills to manage multiple workstreams Strong interpersonal skills and ability to collaborate across various expertise and backgrounds Foundational understanding of commodities markets and risk identification/mitigation Self-motivated with desire to learn and engage with experienced colleagues Lean/agile mindset and curiosity Preferred Qualifications MSc or PhD in advanced statistics, econometrics, or mathematics Experience in End-User Computing (EUC) environments Compensation/Benefits Information Anticipated base salary range for this position is $102,000 to $155,888. Final base salary depends on geographic location, experience level, skills, and certifications. In addition to base pay, this role is eligible for an annual incentive plan. Benefits information is available to eligible employees. Right to Work Requirements This role is limited to persons with indefinite right to work in the United States. UK applicants must have the right to work in the UK as applicable. About S&P Global Commodity Insights At S&P Global Commodity Insights, our view of global energy and commodities markets helps customers make decisions with conviction and create long-term value. We connect thought leaders, market participants, governments, and regulators to co-create solutions across oil and gas, power, chemicals, metals, agriculture, and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). For more information, visit the Commodity Insights website. Equal Opportunity Employer S&P Global is an equal opportunity employer. Qualified candidates will be considered for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, veteran status, unemployment status, or any other status protected by law. Only electronic submissions will be considered. Contact for accommodations If you need an accommodation during the application process due to a disability, please email EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
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