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- Tasks: Build credit models and conduct forecasting analyses in a dynamic fintech environment.
- Company: A growing fintech company in the South East with a focus on innovation.
- Benefits: Market-leading salary, bonus, and excellent benefits package.
- Why this job: Join a forward-thinking team and make a real impact in credit risk modelling.
- Qualifications: Experience in commercial credit risk underwriting and programming skills in Python or R.
- Other info: Exciting opportunities for career growth in a fast-paced industry.
The predicted salary is between 43200 - 72000 £ per year.
A growing fintech company in the South East is seeking a senior underwriter/credit risk modeller. The role involves building credit models, conducting forecasting analyses, and monitoring credit processes.
Ideal candidates will have experience in commercial credit risk underwriting and programming skills in Python or R.
This position offers a market-leading salary plus bonus and excellent benefits.
Senior Credit Risk Modeller — Open Banking & Decision Engine in London employer: Business Money Promotions Ltd
Contact Detail:
Business Money Promotions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Credit Risk Modeller — Open Banking & Decision Engine in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those who work with credit risk. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got experience in Python or R, consider creating a small project or model to showcase your abilities. Share it on LinkedIn or during interviews to stand out.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and industry trends. We want to see you confidently discuss credit modelling and forecasting analyses, so practice makes perfect!
✨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.
We think you need these skills to ace Senior Credit Risk Modeller — Open Banking & Decision Engine in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in credit risk modelling and underwriting. We want to see how your skills in Python or R can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your past work in commercial credit risk and how it relates to what we do at StudySmarter.
Showcase Your Analytical Skills: Since the role involves building credit models and conducting forecasting analyses, make sure to highlight any analytical projects you've worked on. We love seeing how you approach problem-solving!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Business Money Promotions Ltd
✨Know Your Numbers
Make sure you brush up on your credit risk modelling skills. Be prepared to discuss specific models you've built in the past, including the methodologies and programming languages you used, like Python or R. This will show that you have the hands-on experience they’re looking for.
✨Forecasting is Key
Since the role involves conducting forecasting analyses, be ready to explain your approach to forecasting in credit risk. Bring examples of how your forecasts have impacted decision-making in previous roles. This will demonstrate your analytical skills and strategic thinking.
✨Understand the Business
Research the fintech company thoroughly. Understand their products, market position, and any recent news. This knowledge will help you tailor your answers and show that you're genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about their credit processes and how they integrate with the decision engine. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals.
