Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse credit data to drive insights and improve profitability for local businesses.
- Company: Dynamic fintech company in London focused on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real difference in the financial health of small businesses.
- Qualifications: Experience in data analysis, especially in credit risk, with skills in Python and SQL.
- Other info: Join a collaborative team dedicated to enhancing business outcomes.
The predicted salary is between 36000 - 60000 £ per year.
A fintech company in London seeks a Data Analyst to join their Credit team. The role involves analyzing credit decisioning and pricing systems to improve performance.
Candidates should have experience in data analysis, particularly in credit risk, with proficiency in Python and SQL. This position offers the chance to contribute significantly to the company's mission of enhancing business outcomes for small local businesses.
A degree in a quantitative field is required, alongside strong problem-solving abilities.
Credit Risk Data Analyst - Drive Insights & Profitability 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 Analyst - Drive Insights & Profitability
✨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 you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving Python and SQL. This will help us see your practical experience and problem-solving abilities in action.
✨Tip Number 3
Prepare for the interview by brushing up on common credit risk scenarios and how data analysis can drive profitability. We want to hear your thoughts on improving performance in credit decisioning!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Credit Risk Data Analyst - Drive Insights & Profitability
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your experience with data analysis, especially in credit risk. We want to see how you've used Python and SQL to drive insights in your previous roles.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Credit Risk Data Analyst role. We love seeing candidates who take the time to align their skills with our needs.
Problem-Solving Examples: We’re all about strong problem-solving abilities. Include examples in your application that showcase how you’ve tackled challenges in data analysis and improved performance in past projects.
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 Data Inside Out
Make sure you’re well-versed in data analysis, especially in credit risk. Brush up on your Python and SQL skills, as you’ll likely be asked to demonstrate your proficiency. Prepare examples of how you've used these tools to drive insights in previous roles.
✨Understand the Company’s Mission
Familiarise yourself with the fintech company’s goals, particularly their focus on enhancing business outcomes for small local businesses. Be ready to discuss how your skills can contribute to this mission and provide specific examples from your past experiences.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you’ve tackled complex data challenges in credit decisioning or pricing systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions prepared. Inquire about the team’s current projects or challenges they face in credit risk analysis. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
