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- Tasks: Analyse customer journey metrics to enhance credit decisioning and pricing systems.
- Company: Dynamic fintech company focused on driving lending performance.
- Benefits: Collaborative environment, personal development opportunities, and impactful contributions.
- Why this job: Make a real difference in lending performance while developing your data analysis skills.
- Qualifications: Experience in data analysis, proficiency in Python and SQL, and a quantitative degree.
- Other info: Join a team that values innovation and growth in the fintech space.
The predicted salary is between 36000 - 60000 £ per year.
A fintech company in the UK is seeking a Data Analyst to enhance the performance of its credit decisioning and pricing systems. The role involves analyzing customer journey metrics and providing insights that influence business decisions.
Ideal candidates should have:
- Experience in data analysis in credit risk
- Proficiency in Python and SQL
- A quantitative degree
This position offers a collaborative environment with opportunities for personal development and impactful contributions.
Credit Risk Data Analyst: Drive Lending Performance employer: Teya
Contact Detail:
Teya Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Data Analyst: Drive Lending Performance
✨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! Create a portfolio showcasing your data analysis projects, especially those involving 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 common data analysis scenarios in credit risk. Think about how you can apply your insights to drive lending performance and be ready to discuss your thought process.
✨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 are proactive about their job search.
We think you need these skills to ace Credit Risk Data Analyst: Drive Lending Performance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, especially in credit risk. We want to see how your skills in Python and SQL can drive lending performance, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing credit decisioning systems and how your insights can make a difference. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Analytical Skills: In your application, include specific examples of how you've used data analysis to influence business decisions. We’re looking for candidates who can demonstrate their ability to analyse customer journey metrics effectively.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Teya
✨Know Your Data Inside Out
Make sure you’re well-versed in data analysis, especially in credit risk. Brush up on your experience with Python and SQL, and be ready to discuss specific projects where you've used these skills to drive insights or improve decision-making.
✨Understand the Customer Journey
Familiarise yourself with customer journey metrics relevant to lending performance. Be prepared to share how you’ve analysed these metrics in the past and how your insights led to tangible business improvements.
✨Showcase Your Collaborative Spirit
This role thrives in a collaborative environment, so highlight any teamwork experiences. Share examples of how you’ve worked with cross-functional teams to achieve common goals, particularly in data-driven projects.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you’ve faced in previous roles and how you approached them, especially those related to credit risk analysis and decisioning.
