Director Credit Risk Modelling

Our client is keen to speak to a Senior leader to work within the Model Risk Management function will lead the Retail Credit team, focusing on validating and approving Retail Credit models critical for RWAs calculations, IFRS9 Expected Credit Loss (ECL), business strategy and marketing.

This role is based out of Noida.

This role is pivotal for ensuring compliance with internal and regulatory standards.

Some of the key responsibilities will include:

Management (50%)

• Lead and mentor a high-performing team of 10+ professionals.
• Ensure successful project management of model validations within tight regulatory and internal deadlines.

Technical Validation (50%)

• Oversee validation processes, including data analysis, benchmarking and, where necessary, building challenger models.
• Conduct detailed reviews to ensure alignment with Group Model Risk Policy and regulatory requirements.
• Deliver high-quality validation reports and presentations to governance committees, emphasizing assumptions, limitations and key findings.

Stakeholder Engagement

• Act as the primary interface with model owners, developers and senior stakeholders.
• Contribute to maintaining consistent validation standards across the bank.

Decision-Making

• Provide final approval for Retail Credit models.
• Anticipate and address stakeholder inquiries, offering clear and concise communication on complex topics.

To be eligible for this role you will require:

Essential Qualifications and Skills

• Educational Background: Honours, Masters, or Ph.D. in a quantitative discipline (e.g., Mathematics, Statistics, Finance, Economics).

Experience:

• Extensive hands-on experience in developing or validating Retail Credit IRB and IFRS9 models.
• Deep knowledge of regulatory requirements (e.g., CRR, EBA guidelines).
• Proven leadership and people management skills.
• Technical Skills: Proficiency in Python, SAS or R for model testing and validation.
• Communication: Exceptional ability to create detailed reports and present technical findings to both technical and non-technical audiences.

Preferred Qualifications

• Ph.D. in a quantitative discipline.
• Specialized expertise in Retail Credit models, AIRB, IFRS9, CCAR or stress testing.
• Broader knowledge of financial projection, capital management and treasury functions.

Please contact Anita Shah or email your cv directly in word format with job reference number: 14156 to [HIDDEN TEXT].

Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful.