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- Tasks: Join a dynamic team to enhance credit risk modelling using machine learning techniques.
- Company: Boutique consultancy in London with a focus on innovation.
- Benefits: Full-time role with competitive salary and opportunities for professional growth.
- Other info: Exciting opportunity to work in a fast-paced environment with career advancement potential.
- Why this job: Make a real impact in financial services while advancing your data science skills.
- Qualifications: 2-4 years of experience in credit risk modelling and strong communication skills.
The predicted salary is between 42000 - 60000 £ per year.
A London based boutique consultancy is on the search for a Credit Risk Modelling Consultant to join their growing team. The Client needs a Modelling Analyst with a background in Data Science to be able to bring machine learning techniques to the current processes and advise the business on staying ahead.
Key Requirements:
- Credit Risk Modeller or Validator with 2 - 4 years of experience in IFRS9 or IRB Development/Validation
- Experience and understanding of Financial Services and FCA Regulations
- Strong communications skills
Senior Credit Risk Modeller- Data Scientist in London employer: MERJE
Contact Detail:
MERJE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Credit Risk Modeller- Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous work in credit risk modelling and data science. This will give potential employers a clear idea of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common interview questions for credit risk roles and practice your responses. Be ready to discuss how you've used machine learning techniques in past projects.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities tailored for talented individuals like you. Don’t miss out on the chance to join a growing team in a dynamic consultancy.
We think you need these skills to ace Senior Credit Risk Modeller- Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in credit risk modelling and data science. We want to see how your skills align with the job description, so don’t be shy about showcasing your relevant projects and achievements!
Showcase Your Communication Skills: Since strong communication is key for this role, include examples in your application that demonstrate how you've effectively communicated complex ideas in the past. We love seeing candidates who can bridge the gap between technical and non-technical audiences!
Highlight Your Regulatory Knowledge: Familiarity with FCA regulations is a big plus! Make sure to mention any relevant experience you have with IFRS9 or IRB Development/Validation. This will show us that you understand the landscape of financial services.
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at MERJE
✨Know Your Numbers
Brush up on your knowledge of IFRS9 and IRB Development/Validation. Be ready to discuss specific models you've worked on and how they impacted credit risk assessments. This shows you’re not just familiar with the theory but have practical experience.
✨Showcase Your Data Science Skills
Prepare to talk about machine learning techniques you've applied in previous roles. Bring examples of how these techniques improved processes or outcomes. This will demonstrate your ability to innovate and add value to their team.
✨Understand the Regulatory Landscape
Familiarise yourself with FCA regulations and how they affect credit risk modelling. Being able to discuss these regulations confidently will show that you understand the broader context of your work and can advise the business effectively.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex concepts in simple terms, as you may need to present your findings to non-technical stakeholders. This will highlight your ability to bridge the gap between data science and business needs.