Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse user behaviour and innovate risk strategies using SQL and Python.
- Company: Leading fintech company in the UK with a focus on credit products.
- Benefits: Competitive salary, equity options, and flexible remote or hybrid work.
- Why this job: Join a dynamic team to make a real impact in credit risk management.
- Qualifications: Over 4 years of data science experience in risk-focused roles.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading fintech company in the UK is looking for a Lead/Senior Data Scientist to enhance the performance of credit products. The role involves analyzing user behavior using SQL and Python, conducting root-cause analyses, and working within a collaborative team to innovate risk strategies.
Candidates must have over 4 years of data science experience, particularly in risk-focused roles. This position offers a competitive compensation package, including equity and benefits, and the opportunity to work remotely or in a hybrid model.
Lead Data Scientist, Credit Risk — Remote & Equity employer: Wayfindi
Contact Detail:
Wayfindi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist, Credit Risk — Remote & Equity
✨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 open doors and give us insights into the company culture.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your SQL and Python projects, especially those related to user behaviour and risk analysis. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data science interview questions and case studies. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our approach based on the specific role and company values.
We think you need these skills to ace Lead Data Scientist, Credit Risk — Remote & Equity
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these tools to tackle real-world problems, especially in credit risk.
Be Specific About Your Experience: When detailing your past roles, focus on your achievements in data science, particularly in risk-focused positions. We love numbers, so if you can quantify your impact, even better!
Collaborative Spirit: Since this role involves working within a team, share examples of how you've collaborated with others in your previous jobs. We value teamwork and innovation, so let us know how you contribute to a positive team dynamic.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Wayfindi
✨Know Your Data Science Stuff
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, especially in credit risk contexts. This will show that you not only know your stuff but can also apply it effectively.
✨Prepare for Technical Questions
Expect some technical questions or case studies related to data analysis and risk strategies. Practise explaining your thought process clearly and concisely. It’s all about demonstrating your analytical skills and how you approach problem-solving.
✨Show Your Collaborative Spirit
Since this role involves working within a team, be prepared to talk about your experiences collaborating with others. Share examples of how you’ve contributed to team projects and how you handle differing opinions. This will highlight your ability to innovate and work well with others.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current challenges in credit risk or how they measure success in their data science team. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
