IFRS9 Credit Risk Modelling Manager

InterQuest Group

Birmingham

1 year ago

Applications closed

Credit Risk/IFRS9 Modelling Managers | Various Locations |Remote up to £85,000

NO TRANSFER OF SPONSORSHIP AVAILABLE

Exciting opportunities to work with a dynamic retail and commercial banking organisation to help them continue to build their IFRS9 compliant models. This will be on a 2 days per week basis in multiple locations.

Responsibilities

Lead a supportive and collaborative team of modellers and data scientists to create impactful risk and macroeconomic models that help predict the Bank’s loan loss provisions. You’ll guide the development, validation, and ongoing monitoring of IFRS 9 provisioning models, ensuring they provide essential insights to stakeholders across the business while maintaining the highest standards of quality.

Lead the design, development, and implementation of credit risk models, ensuring compliance with regulatory requirements and the Bank's standards.
Ensure the ongoing relevance and robustness of existing Retail and Business IFRS 9 loan loss provision models.
Present model outputs and key insights to stakeholders across the business.
Prepare detailed model documentation and share thoughtful recommendations with governance committees.
Provide valuable business enablement support and model usage expertise across the Bank.
Monitor and address emerging model risks, sharing key findings within the governance framework.
Mentor and guide your team, fostering a culture of continuous learning and development.

What We’re Looking For:

Significant experience in leading model development for Retail or Business credit portfolios.
Strong technical experience with statistical analysis tools such as SAS, Python, or R, and a solid understanding of model application in banking.
Excellent communication skills, both written and verbal, with a genuine ability to collaborate and engage with stakeholders.
Strong decision-making and problem-solving abilities, with a focus on achieving results.
A natural leader who enjoys mentoring and supporting the growth of team members.
A collaborative mindset and a commitment to supporting diversity and inclusion within the team.

Our client is passionate about creating an inclusive, supportive, and flexible environment where every individual can thrive. If you’re ready to make a meaningful impact and take the next step in your career, we’d love to hear from you!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 11, 2026

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Jan 29, 2026

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.