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- Tasks: Develop credit risk and pricing models for small business lending products.
- Company: A growing fintech company in London with a mission-driven team.
- Benefits: Inclusive culture, professional growth opportunities, and competitive salary.
- Why this job: Make a real impact in the fintech space while advancing your career.
- Qualifications: Experience in credit risk modelling and strong skills in Python and SQL.
- Other info: Join a dynamic team that values diversity and innovation.
The predicted salary is between 43200 - 72000 £ per year.
A growing fintech company in London is seeking a Senior Data Scientist to join their Credit team. This role focuses on developing credit risk and pricing models that support lending products for small businesses.
The ideal candidate has significant experience in credit risk modelling for SME lending and strong quantitative skills with a background in Python and SQL.
Join a mission-driven team that values inclusion and offers opportunities for professional growth.
Senior Data Scientist, Credit Risk & Pricing employer: Teya
Contact Detail:
Teya Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Credit Risk & Pricing
✨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! Prepare a portfolio showcasing your credit risk models and any relevant projects. This will give you an edge during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your Python and SQL skills with real-world problems. Being able to talk through your thought process during interviews can really impress hiring managers.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our mission-driven team. It shows initiative and enthusiasm!
We think you need these skills to ace Senior Data Scientist, Credit Risk & Pricing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in credit risk modelling and your quantitative skills. We want to see how your background in Python and SQL aligns with the role, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for fintech and how you can contribute to our mission-driven team. Let us know why you're excited about the opportunity to work on lending products for small businesses.
Showcase Relevant Projects: If you've worked on any projects related to credit risk or pricing models, make sure to mention them. We love seeing real-world applications of your skills, so include any relevant examples that demonstrate your expertise.
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 shows us you’re keen to join our team!
How to prepare for a job interview at Teya
✨Know Your Models Inside Out
Make sure you can discuss your experience with credit risk and pricing models in detail. Be prepared to explain the methodologies you've used, the challenges you faced, and how you overcame them. This shows your depth of knowledge and practical experience.
✨Brush Up on Python and SQL
Since the role requires strong skills in Python and SQL, review your coding skills before the interview. Be ready to solve a problem or answer technical questions on the spot. Practising common data manipulation tasks can really help you shine.
✨Showcase Your Quantitative Skills
Prepare to discuss specific quantitative techniques you've applied in your previous roles. Whether it's statistical analysis or machine learning algorithms, be ready to provide examples that demonstrate your analytical prowess and how it relates to credit risk modelling.
✨Emphasise Teamwork and Inclusion
This company values inclusion and teamwork, so be sure to highlight your collaborative experiences. Share examples of how you've worked effectively within a team, especially in diverse environments, and how you contribute to a positive team culture.
