Model Delivery Lead Corporate Credit Risk
This range is provided by McGregor Boyall. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
An exciting opportunity has arisen for an experienced Model Implementation Lead to join a high-performing risk team at a leading financial institution. This role is critical in driving the successful deployment of corporate credit risk models, working at the intersection of front office, risk, and quantitative modelling functions.
You will lead initiatives that ensure models are not only regulatory compliant (IRB, Basel 3.1, IFRS 9) but also operationally embedded into decision-making, capital planning, and risk management frameworks.
Key Responsibilities
- Lead the end-to-end implementation of corporate credit risk and impairment models across the banking book.
- Collaborate with Quantitative Modelling, Risk, and Front Office teams to align model outputs with business needs.
- Support capital planning and balance sheet optimisation via model-driven insights.
- Enhance tools, governance frameworks and data pipelines to drive risk modelling efficiency and control.
- Translate complex quantitative methodologies into clear, actionable strategies for risk and business teams.
- Champion change initiatives around model deployment and regulatory compliance.
- Work cross-functionally to deliver limit management tools, early warning indicators and risk reporting solutions.
- Act as a subject matter expert on Basel frameworks, credit risk modelling, and regulatory expectations.
- Explore and promote automation, AI, and advanced analytics in model execution and monitoring.
- Liaise with validation, audit, compliance and regulatory teams to ensure robust oversight.
Key Requirements
- Demonstrable experience in credit risk, model implementation, or quantitative risk management within wholesale banking.
- Strong understanding of Basel regulatory frameworks (IRB, Basel 3.1), IFRS 9 and capital modelling.
- Ability to bridge technical and business teams, translating models into meaningful outcomes.
- Skilled in working with large datasets, model tooling, and governance infrastructure.
- Excellent stakeholder management across senior risk, quant, and business leadership.
- Exposure to AI/ML in financial risk contexts is a plus.
This is a unique chance to make a strategic impact within a globally recognised institution. If you're passionate about credit risk, model deployment and driving innovation in banking, we'd love to hear from you.
Apply now or reach out via LinkedIn for a confidential discussion.
McGregor Boyall is an equal opportunity employer and does not discriminate on any grounds.
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