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- Tasks: Analyse loan performance and enhance lending strategies using data-driven insights.
- Company: Dynamic FinTech company focused on consumer finance and innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting role with potential for significant impact in a growing industry.
- Why this job: Join a forward-thinking team and shape the future of credit strategy.
- Qualifications: Experience in credit risk and proficiency in SQL and Python required.
The predicted salary is between 70000 - 80000 £ per year.
Our client, a consumer finance FinTech, are looking to expand their Credit Risk & Strategy team. This role will assess and monitor portfolio performance, lending strategy and wider business analytics, to ensure balance between risk management and business growth.
Responsibilities
- Analyse loan portfolio performance and credit data
- Suggest improvements to lending strategies and credit policies
- Use of statistical and machine learning techniques
- Contribute to wider business use of analytics
Requirements
- Credit risk experience, ideally within consumer finance
- Experience with credit bureau data, risk analytics, credit scoring models and lending strategies
- SQL and Python experience
Credit Strategy Analyst (FinTech - £70-80k) in London employer: JSS
Contact Detail:
JSS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Strategy Analyst (FinTech - £70-80k) in London
✨Tip Number 1
Network like a pro! Reach out to folks 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! Prepare a portfolio showcasing your analysis of loan performance or any projects using SQL and Python. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Stay updated on industry trends! Follow relevant blogs and news in consumer finance and credit risk. This knowledge can help you impress during interviews and show your passion for the field.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Credit Strategy Analyst (FinTech - £70-80k) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your credit risk experience and any relevant skills, like SQL and Python. We want to see how your background fits with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about consumer finance and how your analytical skills can contribute to our lending strategies. Keep it engaging and personal.
Showcase Your Analytical Skills: Since this role involves analysing loan portfolio performance, make sure to mention any specific projects or experiences where you’ve used statistical or machine learning techniques. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at JSS
✨Know Your Numbers
Make sure you brush up on your credit risk metrics and portfolio performance indicators. Be ready to discuss specific examples from your past experience where you've analysed loan portfolios or improved lending strategies.
✨Show Off Your Tech Skills
Since the role requires SQL and Python, be prepared to demonstrate your proficiency. You might be asked to solve a problem on the spot, so practice coding challenges or data analysis scenarios beforehand.
✨Understand the Business
Research the company’s current lending strategies and any recent changes in their credit policies. This will help you suggest relevant improvements during the interview and show that you're genuinely interested in their business.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific credit risk situations. Think through potential scenarios and how you would apply statistical or machine learning techniques to address them effectively.