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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, flexible working options, and opportunities for professional growth.
- Why this job: Make a measurable impact in a fast-growing environment while honing your data science skills.
- Qualifications: Strong credit modelling skills and proficiency in Python and SQL required.
- Other info: Join a supportive team dedicated to innovation and excellence.
The predicted salary is between 48000 - 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 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in credit risk or data science. A friendly chat can lead to valuable insights and even job referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your credit modelling projects, especially those using Python and SQL. 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 technical knowledge and soft skills. Be ready to discuss your experience with credit risk models and how you've used data to drive decisions.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can make an impact in our mission-driven culture. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior Credit Risk Scientist - SME Lending & Pricing
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 your Python and SQL proficiency!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about credit risk and how you can contribute to our mission-driven culture. Keep it engaging and relevant to the role.
Showcase Your Impact: When detailing your past experiences, focus on the measurable impact you’ve made in previous roles. We love to see numbers and results, so if you’ve improved processes or models, let us know!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
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.
✨Showcase Your Technical Skills
Since proficiency in Python and SQL is crucial, 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 algorithms beforehand.
✨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.
