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- Tasks: Drive data science to reshape credit risk and improve decision-making.
- Company: GOCAP, a forward-thinking lender revolutionising the credit market.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and continuous improvement.
- Why this job: Join a dynamic team and make a real impact in fintech.
- Qualifications: Experience in data science, advanced Python and SQL skills required.
The predicted salary is between 50000 - 70000 £ per year.
GOCAP is building a better kind of lender. It is a differentiated product, a genuinely interesting credit proposition, and we believe it has the potential to reshape part of the market. As we grow, data science will sit at the heart of how we underwrite, price, monitor risk and improve performance. We are looking for a sharp, hands-on Data Scientist to help drive that forward. You will be expected to deliver quickly, iterate based on evidence, and continuously improve decisioning as new data becomes available.
- Build and improve models across credit risk, pricing and portfolio performance
- Support underwriting strategy with data-driven insights and segmentation
- Work with bureau, open banking and manage internal data pipelines
- Produce clear, decision-ready insights from imperfect data
- Support and refine credit strategy through analysis and segmentation
- Build monitoring and reporting that tracks real performance
- Help strengthen model governance, validation and documentation
- Work closely with risk, product and engineering to turn analysis into action
Experience in lending, fintech, banking or credit risk:
- Advanced Python and SQL skills
- Commercial judgement and clear communication
- Familiarity with credit decisioning using bureau and open banking data
- Experience in building Machine Learning models which convert into decision-ready outputs
- Bachelor’s or Master’s degree in Data Science, Statistics or a related field.
Remote Data Scientist (Credit Risk) employer: GOCAP
Contact Detail:
GOCAP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Scientist (Credit Risk)
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and credit risk space on LinkedIn. A friendly message can go a long way, and who knows, they might just have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to credit risk and machine learning. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss how you've used these tools in real-world scenarios, especially in lending or credit risk contexts. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us at GOCAP. It shows initiative and enthusiasm, which we really value!
We think you need these skills to ace Remote Data Scientist (Credit Risk)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at GOCAP. Highlight your experience in lending, fintech, and credit risk, and don’t forget to showcase your advanced Python and SQL skills. We want to see how your background aligns with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about reshaping the lending market and how your data-driven insights can support our underwriting strategy. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving Machine Learning models or credit decisioning, make sure to mention them. We’re keen to see how you’ve turned analysis into action and produced decision-ready insights from imperfect data.
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 serious about joining our team at GOCAP!
How to prepare for a job interview at GOCAP
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built Machine Learning models, especially those related to credit risk or lending. Having concrete examples will show that you can turn data into actionable insights.
✨Understand the Company’s Vision
GOCAP is all about reshaping the lending market, so do your homework on their products and how they use data science. Think about how your skills can contribute to their mission and be prepared to share your thoughts on improving their underwriting strategy with data-driven insights.
✨Prepare for Technical Questions
Expect some technical questions that test your understanding of model governance, validation, and documentation. Brush up on these topics and be ready to explain your thought process clearly. This will demonstrate your commercial judgement and ability to communicate complex ideas effectively.
✨Show Your Collaborative Side
Since the role involves working closely with risk, product, and engineering teams, be prepared to discuss how you've collaborated in the past. Share examples of how you turned analysis into action and how you’ve communicated insights to non-technical stakeholders. This will highlight your teamwork skills and adaptability.