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- Tasks: Develop credit underwriting models and strategies for innovative fintech products.
- Company: Leading fintech company in the UK with a focus on growth and innovation.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional development.
- Why this job: Join a dynamic team and make a real impact on credit risk strategies.
- Qualifications: Experience in credit risk analytics with skills in SQL and Python.
The predicted salary is between 43200 - 72000 £ per year.
A leading fintech company in the UK is looking for a Senior Credit Risk Analyst to develop credit underwriting models and strategies for their expanding credit offerings. This role demands strong analytical experience and collaboration with data science and product teams. You will leverage proprietary data to reduce loss rates and optimize risk thresholds.
Ideal candidates will have a background in credit risk analytics and expertise in SQL and Python. Flexibility and a supportive work environment are key aspects of this role.
Senior Credit Risk Analyst - Scale Fintech Lending in London employer: cleo
Contact Detail:
cleo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Credit Risk Analyst - Scale Fintech Lending in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those who work in credit risk. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! If you've got experience with SQL and Python, consider creating a small 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 brushing up on your analytical skills. Be ready to discuss how you've used data to make decisions in the past. We want to see how you think and approach problems!
✨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 Senior Credit Risk Analyst - Scale Fintech Lending in London
Some tips for your application 🫡
Show Off Your Analytical Skills: Make sure to highlight your analytical experience in your application. We want to see how you've tackled credit risk analytics in the past, so share specific examples that showcase your skills with SQL and Python.
Collaborate Like a Pro: Since this role involves working closely with data science and product teams, let us know about your collaborative experiences. Share instances where teamwork led to successful outcomes, especially in developing credit underwriting models.
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their CVs and cover letters to match our job description. Highlight your relevant experience and how it aligns with our expanding credit offerings.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at cleo
✨Know Your Numbers
As a Senior Credit Risk Analyst, you'll need to demonstrate your analytical prowess. Brush up on key metrics related to credit risk and be ready to discuss how you've used data to inform your decisions in past roles. Familiarise yourself with loss rates and risk thresholds, as these will likely come up in conversation.
✨Showcase Your Technical Skills
Since expertise in SQL and Python is crucial for this role, make sure you can talk confidently about your experience with these tools. Prepare to discuss specific projects where you've leveraged these skills to develop credit underwriting models or strategies. If possible, bring examples of your work to illustrate your capabilities.
✨Collaboration is Key
This role involves working closely with data science and product teams, so be prepared to discuss your experience in collaborative environments. Think of examples where you've successfully partnered with others to achieve a common goal, especially in the context of credit risk analytics.
✨Embrace Flexibility
The job description highlights flexibility and a supportive work environment. Be ready to share how you've adapted to changing circumstances in previous roles. Discuss your approach to problem-solving and how you maintain productivity in dynamic settings, as this will resonate well with the company's culture.
