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- Tasks: Build and maintain Credit Models using SQL and Python while analysing data.
- Company: Dynamic financial services consulting firm based in London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Exciting opportunity for career advancement in a supportive environment.
- Why this job: Join a team making impactful decisions in the financial sector with innovative modelling techniques.
- Qualifications: Experience with Probability of Default models and knowledge of UK lending regulations.
The predicted salary is between 60000 - 80000 £ per year.
A financial services consulting firm is seeking a Credit Risk Modeller for a hybrid role based in London. The successful candidate will build, implement, and maintain Credit Models using SQL and Python.
Responsibilities include:
- Gathering data
- Deploying models to production
- Performing ad-hoc data analyses
Experience with Probability of Default models, IFRS9, and Basel regulations is desirable. Candidates must be UK-based and have a background in working for a UK lender.
Credit Risk Modeller (Hybrid) – PD Models & Production Data in London employer: Morson Edge (Financial Services)
Contact Detail:
Morson Edge (Financial Services) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Modeller (Hybrid) – PD Models & Production Data in London
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector, especially those who work with credit risk. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got experience with SQL and Python, consider creating a mini-project or a portfolio piece that showcases your modelling abilities. This can really set you apart during interviews.
✨Tip Number 3
Prepare for the technical questions! Brush up on Probability of Default models, IFRS9, and Basel regulations. Being able to discuss these topics confidently will show you're not just a candidate, but the right candidate.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Credit Risk Modeller (Hybrid) – PD Models & Production Data in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Credit Models, SQL, and Python. We want to see how your background aligns with the role, so don’t be shy about showcasing your skills in Probability of Default models and any relevant regulations like IFRS9 and Basel.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about credit risk modelling and how your previous roles have prepared you for this position. We love seeing enthusiasm and a clear understanding of the industry.
Showcase Your Data Skills: Since the role involves gathering data and performing analyses, make sure to mention any specific projects or experiences where you’ve successfully handled data. We’re looking for candidates who can demonstrate their analytical prowess and problem-solving abilities.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Morson Edge (Financial Services)
✨Know Your Models
Make sure you brush up on your knowledge of Probability of Default models and IFRS9 regulations. Be ready to discuss how you've built or implemented these models in the past, as well as any challenges you faced and how you overcame them.
✨SQL and Python Proficiency
Since this role requires strong SQL and Python skills, prepare to showcase your coding abilities. You might be asked to solve a problem on the spot, so practice writing queries and scripts that demonstrate your technical expertise.
✨Data Gathering Techniques
Be prepared to talk about your experience with data gathering and analysis. Think of specific examples where you successfully collected and processed data for model development, and how you ensured its accuracy and relevance.
✨Understand the Company’s Needs
Research the financial services consulting firm thoroughly. Understand their approach to credit risk modelling and be ready to discuss how your skills and experiences align with their goals. This shows that you're genuinely interested in the role and the company.