Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

IFRS9 Credit Risk Modelling Manager

InterQuest Group
Birmingham
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

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.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.