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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 opportunities for impactful projects.
- Why this job: Make a real difference in the fintech space while growing your data science skills.
- Qualifications: Hands-on experience with credit modeling, degree in a quantitative field, and proficiency in Python and SQL.
- Other info: Join a team that values collaboration and innovation in a fast-paced industry.
The predicted salary is between 43200 - 72000 £ 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 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
✨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 you an edge and demonstrate your hands-on experience.
✨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! 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 Credit Risk Data Scientist — Fintech Lending
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: Your cover letter is your chance to shine! Tell us why you're passionate about fintech and how you can help enhance our lending products for small businesses. Keep it engaging and personal.
Showcase Your Quantitative Skills: Since we're looking for someone with a degree in a quantitative field, don't forget to mention any specific 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 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.
✨Show Off 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 feel confident.
✨Understand the Fintech Landscape
Familiarise yourself with the current trends in fintech, especially in lending. Being able to discuss how credit risk impacts small businesses and what innovative solutions are out there will impress your interviewers and show your genuine interest in the industry.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the company culture, team dynamics, and the specific projects you might work on. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
