At a Glance
- Tasks: Lead credit strategy and optimise lending using Python and SQL.
- Company: Join Lendable.co.uk, a VC-backed fintech unicorn with massive growth potential.
- Benefits: Competitive salary up to £120k plus equity and a high-autonomy work environment.
- Other info: Dynamic role with opportunities for career advancement and innovation.
- Why this job: Make a real impact in a profitable fintech with a world-class team.
- Qualifications: 5+ years in credit risk, expert in Python and SQL, strong mentoring skills.
The predicted salary is between 120000 - 120000 £ per year.
Lead credit strategy for a profitable unicorn backed by Goldman Sachs. You will own the end-to-end decisioning for consumer finance products, utilizing Python and SQL daily to optimize lending. This high-impact role blends hands-on data science with strategic leadership, driving growth across UK and US markets while mentoring a team of elite analysts.
Why this role is remarkable:
- Join a profitable fintech unicorn backed by heavyweights like Goldman Sachs and Balderton Capital, offering both stability and massive growth potential.
- High-autonomy environment where you own the strategy for core products like loans and credit cards, moving from data insight to implementation without bureaucracy.
- Work alongside a world-class team of alumni from Capital One and Zopa in a culture that prizes analytical rigor and rapid execution.
What you will do:
- Design and refine credit decisioning strategies to determine who to lend to, at what volume, and at what price.
- Conduct deep-dive data analysis using Python and SQL to build monitoring frameworks and forecast portfolio returns.
- Collaborate directly with engineering and product teams to deploy machine learning models and experimental lending strategies.
The ideal candidate:
- Has 5+ years of credit risk experience at a data-driven consumer lender, with a strong background in strategy and analytics.
- Expert-level proficiency in Python and SQL is essential, as this is a hands-on role requiring daily coding and model building.
- Possesses a top-tier quantitative degree and a proven track record of mentoring junior analysts while delivering commercial results.
Credit Risk Manager (£120k + Equity) at Lendable.co.uk employer: Jack and Jill AI
Lendable.co.uk is an exceptional employer, offering a dynamic and high-autonomy environment where you can lead credit strategy for a profitable fintech unicorn backed by industry giants like Goldman Sachs. With a strong focus on employee growth, you will have the opportunity to mentor elite analysts while working alongside a world-class team that values analytical rigor and rapid execution. Located in London, this role not only provides competitive compensation with equity but also positions you at the forefront of innovation in consumer finance.
StudySmarter Expert Advice🤫
We think this is how you could land Credit Risk Manager (£120k + Equity) at Lendable.co.uk
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those at Lendable or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got experience with Python and SQL, consider creating a mini-project or analysis to showcase your abilities. Share it on LinkedIn or during interviews to stand out from the crowd.
✨Tip Number 3
Prepare for the interview by diving deep into Lendable's products and market strategies. Knowing their business inside out will not only impress them but also help you tailor your answers to what they really care about.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Credit Risk Manager (£120k + Equity) at Lendable.co.uk
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Credit Risk Manager role. Highlight your experience with Python and SQL, and any relevant achievements in credit risk management. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role at Lendable.co.uk and how your background makes you the perfect fit. We love seeing genuine enthusiasm and a clear understanding of our mission.
Showcase Your Analytical Skills:Since this role involves deep-dive data analysis, make sure to showcase your analytical skills in your application. Include specific examples of how you've used data to drive decisions or improve processes in previous roles. We’re all about data-driven insights!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Jack and Jill AI
✨Know Your Numbers
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools to drive credit decisioning strategies. Having concrete examples will show your hands-on experience and analytical prowess.
✨Understand the Business
Familiarise yourself with Lendable's business model and their position in the fintech space. Knowing how they operate and what makes them unique will help you tailor your answers and demonstrate your genuine interest in the role.
✨Showcase Your Leadership Skills
Since this role involves mentoring a team, be prepared to share your experiences in leading and developing junior analysts. Highlight specific instances where your guidance led to improved performance or innovative solutions.
✨Prepare for Scenario Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think about how you would approach designing credit strategies or handling portfolio risks, and be ready to articulate your thought process clearly.
