At a Glance
- Tasks: Lead a team to develop and manage credit risk models for forecasting loss provisions.
- Company: One of the largest banks in the UK with a flexible working culture.
- Benefits: Excellent benefits, remote work options, and outstanding career progression.
- Other info: Opportunity to influence key stakeholders and drive team development.
- Why this job: Make a real impact in risk modelling while leading a talented team.
- Qualifications: Experience in IFRS 9 modelling and proficiency in SAS, Python, or R.
The predicted salary is between 48000 - 72000 € per year.
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.
As part of a build out of the risk modelling team I am looking for an experienced IFRS 9 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 IFRS 9 landscape, 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 lead the design and implementation of credit risk models in line with Bank standards and regulatory compliance requirements. You’ll ensure that the models in operation are robust, fit for purpose, and provide clear insights to stakeholders. You will also deliver high-quality model documentation and support the Bank in model usage and governance, while driving the development of your team.
To succeed in this role, you’ll need significant experience in IFRS9 or econometric model development across Retail or Business credit portfolios and expertise in using statistical analysis software like SAS, Python, or R. Strong communication skills, the ability to influence stakeholders, and experience with decision-making are essential. Bonus points for experience with economic processes and IFRS 9.
Please note, this role does not offer Visa sponsorship.
Manager - Credit Risk Modelling - IFRS9 in Glasgow employer: Barclay Simpson
As one of the largest banks in the UK, our client offers an exceptional working environment characterised by a flexible culture and remote working options. Employees benefit from comprehensive perks, a strong focus on career progression, and the opportunity to lead innovative projects within a dynamic team of modellers and data scientists, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Manager - Credit Risk Modelling - IFRS9 in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and risk modelling sectors. Attend industry events or webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with IFRS 9 modelling and any relevant projects you've worked on. This can be a game-changer during interviews, as it gives potential employers a tangible sense of what you can bring to their team.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your knowledge of credit risk models and be ready to discuss how you’ve tackled challenges in past roles. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. So, get your application in and let’s get you one step closer to landing that dream role!
We think you need these skills to ace Manager - Credit Risk Modelling - IFRS9 in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Manager - Credit Risk Modelling. Highlight your experience with IFRS 9 and any relevant modelling projects you've led. We want to see how your skills match what we're looking for!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work where you’ve used SAS, Python, or R in model development. This will help us see your expertise in action.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about credit risk modelling and how you can contribute to our team. Keep it engaging and make sure it reflects your personality.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Barclay Simpson
✨Know Your IFRS 9 Inside Out
Make sure you brush up on your knowledge of IFRS 9 and its implications for credit risk modelling. Be prepared to discuss specific models you've worked on, the challenges you faced, and how you overcame them. This will show your depth of understanding and practical experience.
✨Showcase Your Technical Skills
Since expertise in statistical analysis software like SAS, Python, or R is crucial, be ready to demonstrate your proficiency. You might be asked to solve a problem or explain your approach to model development, so have examples ready that highlight your technical capabilities.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice explaining complex concepts in simple terms, as you'll need to influence stakeholders. Think about how you can convey your ideas effectively and engage your audience during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your decision-making abilities and how you handle real-world scenarios. Prepare examples from your past experiences where you had to make tough calls or lead your team through challenges, particularly in the context of risk modelling.
