At a Glance
- Tasks: Lead the implementation of corporate credit risk models and collaborate with various teams.
- Company: Join a leading financial institution known for its high-performing risk team.
- Benefits: Enjoy opportunities for innovation, collaboration, and professional growth in a dynamic environment.
- Other info: This role offers a chance to work with AI and advanced analytics in financial risk.
- Why this job: Make a strategic impact in banking while driving model deployment and regulatory compliance.
- Qualifications: Experience in credit risk or quantitative risk management is essential; knowledge of Basel frameworks is a plus.
The predicted salary is between 43200 - 72000 £ per year.
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.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Finance
Industries
- Banking
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Model Delivery Lead Corporate Credit Risk in London employer: McGregor Boyall
Join a leading financial institution that prioritises innovation and excellence in the banking sector. As a Model Delivery Lead in Corporate Credit Risk, you will thrive in a collaborative work culture that values your expertise and encourages professional growth through continuous learning and development opportunities. With a commitment to regulatory compliance and cutting-edge analytics, this role offers a unique chance to make a significant impact while enjoying a supportive environment that champions diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Model Delivery Lead Corporate Credit Risk in London
✨Tip Number 1
Familiarise yourself with the latest Basel regulatory frameworks and IFRS 9 standards. Being well-versed in these regulations will not only boost your confidence during discussions but also demonstrate your commitment to compliance, which is crucial for this role.
✨Tip Number 2
Network with professionals in the credit risk and quantitative modelling fields. Engaging with industry experts can provide you with insights into current trends and challenges, making you a more attractive candidate when discussing your experience and knowledge.
✨Tip Number 3
Showcase your ability to translate complex quantitative methodologies into actionable strategies. Prepare examples from your past experiences where you've successfully bridged the gap between technical teams and business stakeholders, as this skill is highly valued in the role.
✨Tip Number 4
Stay updated on advancements in AI and machine learning within financial risk contexts. Highlighting your knowledge in these areas can set you apart, especially since the role encourages exploring automation and advanced analytics in model execution.
We think you need these skills to ace Model Delivery Lead Corporate Credit Risk in London
Some tips for your application 🫡
Understand the Role:Before applying, make sure you fully understand the responsibilities and requirements of the Model Delivery Lead position. Familiarise yourself with corporate credit risk models and the regulatory frameworks mentioned in the job description.
Tailor Your CV:Customise your CV to highlight relevant experience in credit risk, model implementation, and quantitative risk management. Emphasise your understanding of Basel frameworks and any experience with AI/ML in financial contexts.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for credit risk and model deployment. Use specific examples from your past experiences to demonstrate how you can contribute to the team and drive innovation within the institution.
Highlight Stakeholder Management Skills:In your application, emphasise your ability to manage stakeholders effectively. Provide examples of how you've successfully collaborated with different teams, particularly in high-pressure environments, to achieve common goals.
How to prepare for a job interview at McGregor Boyall
✨Understand the Regulatory Frameworks
Make sure you have a solid grasp of Basel frameworks, particularly IRB and Basel 3.1, as well as IFRS 9. Be prepared to discuss how these regulations impact model implementation and risk management.
✨Showcase Your Collaboration Skills
This role requires working closely with various teams. Highlight your experience in cross-functional collaboration and provide examples of how you've successfully aligned model outputs with business needs.
✨Demonstrate Technical Proficiency
Be ready to discuss your experience with large datasets, model tooling, and governance infrastructure. If you have exposure to AI/ML in financial contexts, make sure to mention it as it could set you apart.
✨Prepare for Stakeholder Management Questions
Expect questions about how you've managed relationships with senior stakeholders in the past. Prepare specific examples that demonstrate your ability to communicate complex quantitative methodologies in a clear and actionable way.
