Director, Credit Risk Scorecards Model Risk & Governance
S&P Global Market Intelligence
Not specified; competitive pyy; retirement plannin...
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15+ years credit risk modelling experience
Basel/irb ifrs 9 cecl regulatory knowledge
Team leadership of analysts and testing specialists
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S&P Global Market Intelligence is seeking a Director for Credit Risk Scorecards Model Risk & Governance to lead a team in Hyderabad focused on ensuring the accuracy and compliance of credit risk models. The ideal candidate will have extensive experience in credit risk modeling and governance, along with strong leadership capabilities.
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Job Summary
This role leads a Hyderabad-based team responsible for ensuring the accuracy, stability, and audit-readiness of S&P Global Market Intelligence Scorecards.
The position requires deep expertise in regulatory frameworks including Basel/IRB, IFRS 9, and CECL to govern model lifecycle activities.
Candidates will benefit from working in a high-growth global analytics business with access to continuous learning resources and comprehensive family-friendly perks.
Matching Summary
Match Score: 75
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S&P Global Market Intelligence is seeking a Director for Credit Risk Scorecards Model Risk & Governance to lead a team in Hyderabad focused on ensuring the accuracy and compliance of credit risk models. The ideal candidate will have extensive experience in credit risk modeling and governance, along with strong leadership capabilities.
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Salary
Not specified; Competitive pay; Retirement planning and financial wellness programs
Skills & Requirements
Must-have
15+ years credit risk modelling experience
Basel/IRB IFRS 9 CECL regulatory knowledge
Team leadership of analysts and testing specialists
Model performance monitoring and recalibration
Change control and governance framework implementation
Nice-to-have
Experience with S&P Global Ratings criteria
Shadow rating approach familiarity
Executive-level communication skills
Cross-functional delivery leadership
Internal rating systems for capital calculations
Key Requirements
Master's degree or PhD in quantitative discipline
15+ years experience in credit risk modelling and governance
Demonstrated people leadership capabilities
Strong knowledge of supervisory expectations and industry best practices