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A leading financial institution in London seeks a Model Delivery Lead Corporate Credit Risk. You will spearhead the implementation of corporate credit risk models and ensure regulatory compliance. Candidates should have a solid background in credit risk management and be skilled in bridging technical and business teams. This role offers an exciting opportunity to innovate in the banking sector with a competitive salary and hybrid working options.
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.
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 do not discriminate on any grounds.
McGregor Boyall is a privately owned global recruitment consultancy founded in 1987. We are headquartered in the City of London, with additional offic...
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