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- Tasks: Drive the development of credit risk models for innovative lending products.
- Company: Dynamic financial technology company in Greater London with a mission-driven culture.
- Benefits: Competitive salary, supportive environment, and opportunities for impactful work.
- Why this job: Make a measurable impact in a fast-growing industry while honing your data science skills.
- Qualifications: Strong credit modelling skills and proficiency in Python and SQL.
- Other info: Join a collaborative team focused on innovation and growth.
The predicted salary is between 43200 - 72000 £ per year.
A financial technology company based in Greater London is seeking a Senior Data Scientist to join their Credit team. The role involves driving the development of credit risk models for lending products.
Candidates should have:
- Strong credit modelling skills
- A background in quantitative disciplines
- Proficiency in Python and SQL
This position offers a chance to make a measurable impact in a fast-growing environment with a supportive mission-driven culture.
Senior Credit Risk Scientist - SME Lending & Pricing in London employer: Teya Services Ltd.
Contact Detail:
Teya Services Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Credit Risk Scientist - SME Lending & Pricing in London
✨Tip Number 1
Network like a pro! Reach out to folks in the financial tech space, especially those working with credit risk. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got some cool projects or models you've worked on, make sure to highlight them in your conversations. We love seeing how you’ve applied your Python and SQL skills in real-world scenarios.
✨Tip Number 3
Prepare for those interviews! Brush up on your credit modelling knowledge and be ready to discuss your thought process. We want to see how you tackle problems and develop solutions in a fast-paced environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re all about making a measurable impact, so let’s get you on board!
We think you need these skills to ace Senior Credit Risk Scientist - SME Lending & Pricing in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your credit modelling skills and experience in quantitative disciplines. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Show Off Your Tech Skills: Since proficiency in Python and SQL is key for this role, include specific examples of how you've used these tools in your previous work. We love seeing practical applications of your skills, so let us know what you've built or improved!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for our team. Share your passion for credit risk modelling and how you can contribute to our mission-driven culture. Keep it engaging and personal!
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 you’re keen on joining our awesome team!
How to prepare for a job interview at Teya Services Ltd.
✨Know Your Credit Risk Models
Make sure you brush up on the latest credit risk modelling techniques. Be prepared to discuss your previous experiences with model development and how they can apply to the company's lending products.
✨Show Off Your Technical Skills
Since proficiency in Python and SQL is key, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and model implementation scenarios.
✨Understand the Company’s Mission
Familiarise yourself with the company’s mission-driven culture. Be ready to explain how your values align with theirs and how you can contribute to their goals in the financial technology space.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the challenges they face in credit risk modelling, and how success is measured in this role. This shows your genuine interest and helps you assess if it’s the right fit for you.
