At a Glance
- Tasks: Lead the redevelopment of credit risk models and enhance model sophistication.
- Company: A growing UK-based specialist lender in real estate and asset finance.
- Benefits: Competitive salary, high-visibility role, and opportunity for impactful work.
- Other info: Join a small team with excellent stakeholder exposure and career growth potential.
- Why this job: Make a significant impact on credit risk transformation in a dynamic banking environment.
- Qualifications: Strong experience in credit risk modelling and proficiency in Python or R.
The predicted salary is between 100000 - 100000 £ per year.
This is a high-impact opportunity to lead the redevelopment of core credit risk models within a growing banking environment. You will take ownership of a key transformation project, enhancing model sophistication and regulatory alignment.
The Company
They are a UK-based specialist lender operating across real estate and asset finance. The business has grown significantly in recent years and is investing in strengthening its credit risk capabilities. You will join a small, high-visibility team with strong stakeholder exposure.
The Role
- Lead redevelopment of credit rating, ICAAP, and stress testing models
- Enhance PD, LGD, and expected loss frameworks across portfolios
- Improve model governance, consistency, and risk sensitivity
- Partner with credit, risk, and finance stakeholders
- Support transition from Excel to Python or R-based modelling
Your Skills Experience
- Strong experience building credit risk models such as scorecards, ICAAP, stress testing, or IFRS 9
- Solid understanding of PD, LGD, and EAD methodologies
- Experience within banking or financial services
- Python or R proficiency alongside advanced Excel
- Ability to lead projects and communicate with senior stakeholders
Senior Credit Risk Modeller - 6 month FTC employer: Harnham - Data & Analytics Recruitment
As a Senior Credit Risk Modeller at our dynamic UK-based specialist lending firm, you will thrive in a collaborative and innovative work culture that prioritises employee development and engagement. With a strong focus on enhancing credit risk capabilities, we offer competitive remuneration, opportunities for professional growth, and the chance to lead impactful projects within a supportive team environment in London.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Credit Risk Modeller - 6 month FTC
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and financial services sector. Attend industry events or webinars where you can meet potential employers and showcase your expertise in credit risk modelling.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with PD, LGD, and EAD methodologies, and how you've used Python or R in your previous projects. We want to see your passion for model redevelopment!
✨Tip Number 3
Showcase your leadership abilities! When discussing past projects, highlight how you led teams or initiatives, especially in transforming credit risk models. This will demonstrate your fit for the high-visibility role we're looking to fill.
✨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 take the initiative to engage directly with us.
We think you need these skills to ace Senior Credit Risk Modeller - 6 month FTC
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Credit Risk Modeller role. Highlight your experience with credit risk models, especially any work with PD, LGD, and EAD methodologies. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you the perfect fit. Don’t forget to mention your experience with Python or R, as that’s a big plus for us.
Showcase Your Project Leadership:Since this role involves leading key transformation projects, make sure to highlight any relevant project leadership experience. We love seeing candidates who can take charge and drive results, so share specific examples of your past successes!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Models Inside Out
Make sure you’re well-versed in the credit risk models mentioned in the job description. Brush up on your knowledge of PD, LGD, and EAD methodologies, as well as ICAAP and stress testing. Being able to discuss these concepts confidently will show that you’re not just familiar with them, but that you can lead their redevelopment.
✨Showcase Your Technical Skills
Since proficiency in Python or R is crucial for this role, be prepared to discuss your experience with these programming languages. Bring examples of how you've used them in past projects, especially in transitioning from Excel-based modelling. This will demonstrate your technical capability and readiness to tackle the challenges ahead.
✨Highlight Your Leadership Experience
This position requires someone who can lead projects and communicate effectively with senior stakeholders. Prepare specific examples from your previous roles where you’ve successfully led a project or initiative. Emphasise your ability to collaborate with cross-functional teams, as this will be key in enhancing model governance and consistency.
✨Understand the Company’s Growth Journey
Research the company’s recent growth and their focus on strengthening credit risk capabilities. Be ready to discuss how your skills and experiences align with their goals. Showing that you understand their business context will help you stand out as a candidate who is genuinely interested in contributing to their success.
