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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: Hands-on experience with credit modeling and proficiency in Python and SQL.
- Other info: Join a team that values innovation and collaboration.
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 England 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 England
✨Tip Number 1
Network like a pro! Reach out to folks 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 how you've used these tools in past projects, especially in relation to credit risk and pricing models.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team and making an impact in the fintech world.
We think you need these skills to ace Credit Risk Data Scientist — Fintech Lending in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with credit modeling and any relevant projects. We want to see how your skills in Python and SQL can shine through!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about fintech and how you can contribute to our Credit team. Be genuine and let your personality come through!
Showcase Your Projects: If you've worked on any credit risk or pricing models, don’t hesitate to mention them! We love seeing real-world applications of your skills and how they can benefit our lending products.
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 this exciting opportunity!
How to prepare for a job interview at Teya Services Ltd.
✨Know Your Credit Modelling
Make sure you brush up on your credit risk modelling knowledge. Be prepared to discuss specific models you've worked on, the methodologies you used, and the outcomes. This will show your hands-on experience and understanding of the field.
✨Showcase Your Technical Skills
Since proficiency in Python and SQL is key for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem or explain how you've used these languages in past projects. Practise coding challenges beforehand to boost your confidence.
✨Understand the Fintech Landscape
Familiarise yourself with the current trends in fintech lending, especially around credit risk. Being able to discuss how these trends impact small businesses will show that you're not just technically skilled but also understand the industry context.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their credit team, the projects you'll be working on, and the company culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
