Senior Manager - Credit Risk Modelling

Barclay Simpson
Leeds
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Manager, Modern Data Engineering

Data Architect - Senior Manager

Sales Manager – Exhibitions

Microsoft Entra and Purview Engineer/ Architect

Senior Sales Executive - Events

Paid Media Manager

My client is one of the largest banks in the UK, renowned for their flexible working culture, remote working opportunities, excellent benefits and outstanding internal culture and career progression.


Reporting directly to the Head of IFRS9 and Stress Testing, you will play a critical role in shaping our risk modelling strategy, enhancing issue resolution, and driving actionable business insights.

As part of a build out of the risk modelling team I am looking for an experienced risk modeller to lead a talented team of modellers and data scientists responsible for developing and managing risk and macroeconomic models to forecast the bank’s loss provisions. You’ll have a wide remit that spans all types of models within the credit risk landscape (mainly impairment, stress and climate risk models), with exposure to both Retail and Business banking products and customers. Your team will focus on the development, validation, management, and monitoring of models, ensuring they provide exceptional support to key stakeholders across Risk and Finance.

You will direct delivery of modelling projects across diverse portfolios, adapting to changing demands and priorities, acting as an SME across all relevant projects, delivering detailed technical challenges across retail and business banking portfolios, ensuring models are robust and aligned with best practices.


You will need significant prior experience of advanced credit risk modelling techniques in a leadership role, with an excellent track record of people management, performance coaching and team development. In addition, advanced understanding of PRA regulatory frameworks, risk appetite and cutting edge modelling techniques.

Please note, this role does not offer Visa sponsorship.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.

Career Paths in Data Science: From Entry-Level Analysis to Leadership and Beyond

Data is the lifeblood of modern business, and Data Scientists are the experts who turn raw information into strategic insights. From building recommendation engines to predicting market trends, the impact of data science extends across virtually every industry—finance, healthcare, retail, manufacturing, and beyond. In the UK, data-driven decision-making is critical to remaining competitive in a global market, making data science one of the most sought-after career paths. But how does one launch a career in data science, and how can professionals progress from entry-level analysts to senior leadership roles? In this comprehensive guide, we’ll explore the typical career trajectory, from junior data scientist to chief data officer, discussing the key skills, qualifications, and strategic moves you need to succeed. Whether you’re a recent graduate, transitioning from another technical field, or an experienced data scientist aiming for management, you’ll find actionable insights on forging a successful career in the UK data science sector.