At a Glance
- Tasks: Develop and refine credit risk strategies while collaborating with data and engineering teams.
- Company: Fast-growing specialist payments fintech with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Join a fast-paced team and partner with senior stakeholders for career advancement.
- Why this job: Make a real impact on credit decisions and work with cutting-edge technology.
- Qualifications: 3-6 years in credit risk strategy, strong SQL skills, and ideally Python experience.
The predicted salary is between 55000 - 65000 £ per year.
A fast growing specialist payments fintech is looking to hire a Senior Credit Risk Analyst to support the build out of its credit capabilities. This is a hands-on role focused on improving how credit decisions are made, working closely with data and engineering teams.
The opportunity
- Develop and refine credit risk strategies
- Work with data using SQL and Python
- Assess performance and identify risk trends
- Support automation of processes and workflows
- Partner with technical teams to improve systems
Required background
- Around 3–6 years’ experience in credit risk strategy
- Strong SQL and ideally Python
- Experience working with lending or risk data
- Comfortable in a fast-paced, hands-on environment
Senior Credit Risk Analyst employer: Kinarden Search
Contact Detail:
Kinarden Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Credit Risk Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those who work with credit risk. A friendly chat can open doors and give you insights that might just land you that Senior Credit Risk Analyst role.
✨Tip Number 2
Show off your skills! If you've got experience with SQL and Python, don’t just mention it—bring it to life. Share examples of how you've used these tools to improve credit decisions or automate processes in past roles.
✨Tip Number 3
Prepare for the hands-on environment! Brush up on your problem-solving skills and be ready to discuss how you’ve tackled challenges in credit risk strategy before. We want to see your thought process and how you adapt in fast-paced settings.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Credit Risk Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in credit risk strategy and your skills in SQL and Python. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the opportunity at our fintech and how you can contribute to improving credit decisions. Let us know what makes you a great fit for our team.
Showcase Your Hands-On Experience: Since this is a hands-on role, we’d love to hear about your practical experience in assessing performance and identifying risk trends. Share specific examples of how you've worked with data and automated processes in previous roles.
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 us you’re keen on joining our team!
How to prepare for a job interview at Kinarden Search
✨Know Your Credit Risk Strategies
Make sure you brush up on the latest credit risk strategies and be ready to discuss how you've developed or refined them in your previous roles. This will show that you understand the core responsibilities of the Senior Credit Risk Analyst position.
✨Show Off Your SQL and Python Skills
Prepare to demonstrate your SQL and Python knowledge during the interview. You might be asked to solve a problem or analyse data on the spot, so practice writing queries and scripts beforehand to feel confident.
✨Understand the Fintech Landscape
Familiarise yourself with the fintech industry, especially in payments. Knowing the current trends and challenges can help you engage in meaningful conversations with your interviewers and show that you're genuinely interested in the role.
✨Be Ready for Hands-On Scenarios
Since this is a hands-on role, think of examples from your past experience where you've worked closely with data and engineering teams. Be prepared to discuss how you’ve automated processes or improved workflows, as this will highlight your practical skills.