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- Tasks: Develop and optimise automated credit risk strategies for SMEs using data-driven insights.
- Company: Dynamic financial technology company in London with a focus on innovation.
- Benefits: Attractive remuneration, hybrid work model, and a collaborative team environment.
- Why this job: Join a team that values flexibility and innovative problem-solving in the finance sector.
- Qualifications: 3-5 years of experience in risk modelling, strong SQL and Python skills.
- Other info: Opportunity to make a real impact in a growing fintech landscape.
The predicted salary is between 36000 - 60000 £ per year.
A financial technology company in London is seeking a Credit Risk Analyst to develop and optimize automated credit risk strategies for SMEs. The ideal candidate will have 3-5 years of experience in risk modeling, strong skills in SQL and Python, and a good understanding of credit strategies for unsecured exposures.
Join a dynamic team that values flexibility, collaboration, and innovative problem solving. This is a hybrid position with attractive remuneration.
Credit Risk Analyst, SME - Hybrid London, Data-Driven employer: Pliant
Contact Detail:
Pliant Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Analyst, SME - Hybrid London, Data-Driven
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your SQL and Python projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on credit risk strategies and recent trends in fintech. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨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 are proactive about their job search!
We think you need these skills to ace Credit Risk Analyst, SME - Hybrid London, Data-Driven
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in risk modeling and your skills in SQL and Python. We want to see how your background aligns with the role of a Credit Risk Analyst, so don’t hold back on 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 passionate about credit risk strategies for SMEs and how you can contribute to our dynamic team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges in credit risk analysis. We value innovative problem-solving, so share how you approached these situations and the outcomes you achieved.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Pliant
✨Know Your Numbers
Brush up on your risk modelling skills and be ready to discuss specific projects where you've developed credit risk strategies. Be prepared to explain your thought process and the impact of your work, especially in relation to SMEs.
✨SQL and Python Proficiency
Make sure you can demonstrate your SQL and Python skills during the interview. Consider preparing a small project or example that showcases your ability to manipulate data and create models, as this will highlight your technical expertise.
✨Understand the Company’s Approach
Research the financial technology company and their current credit risk strategies. Familiarise yourself with their products and how they serve SMEs, so you can align your answers with their goals and show that you're genuinely interested in contributing to their success.
✨Showcase Your Problem-Solving Skills
Prepare to discuss examples of innovative problem-solving in your previous roles. Think of situations where you faced challenges in credit risk analysis and how you overcame them, as this will demonstrate your ability to think critically and adapt in a dynamic environment.
