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- Tasks: Develop credit risk and pricing models to enhance lending products for small businesses.
- Company: Dynamic fintech company based in London with a supportive culture.
- Benefits: Competitive salary, inclusive environment, and impactful project opportunities.
- Why this job: Make a real difference in the fintech space while growing your data science skills.
- Qualifications: Experience in credit modeling, degree in a quantitative field, and proficiency in Python and SQL.
- Other info: Join a team that values collaboration and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A dynamic fintech company based in London is seeking a Data Scientist to join their Credit team. This role will involve developing credit risk and pricing models to enhance their lending products for small businesses.
The ideal candidate will have:
- Hands-on experience with credit modeling
- A degree in a quantitative field
- Proficiency in Python and SQL
This position offers a unique opportunity to contribute to impactful projects in a supportive and inclusive environment.
Credit Risk Data Scientist — Fintech Lending in London employer: Teya Services Ltd.
Contact Detail:
Teya Services Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Data Scientist — Fintech Lending in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working in credit risk. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your credit modeling projects or any relevant data science work. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your past experiences with credit risk models and how you can apply them to enhance lending products.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Credit Risk Data Scientist — Fintech Lending in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with credit modeling and any relevant projects you've worked on. We want to see how your skills in Python and SQL can contribute to our team!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about fintech and how you can make a difference in our Credit team. Be specific about your achievements and how they relate to the role.
Showcase Your Quantitative Skills: Since we're looking for someone with a degree in a quantitative field, don't forget to mention any relevant coursework or projects that demonstrate your analytical abilities. We love numbers as much as you do!
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 Teya Services Ltd.
✨Know Your Numbers
Brush up on your credit risk modelling knowledge and be ready to discuss specific models you've worked on. Be prepared to explain how you used Python and SQL in these projects, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Think of examples where you've tackled complex data challenges. The interviewers will want to see how you approach problems, so prepare a few scenarios that highlight your analytical thinking and creativity in developing solutions.
✨Understand the Fintech Landscape
Familiarise yourself with current trends in fintech lending, especially those affecting small businesses. This knowledge will not only impress the interviewers but also help you articulate how you can contribute to their projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's credit products and their future direction. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
