At a Glance
- Tasks: Build and improve risk-scoring models to assess customer creditworthiness.
- Company: Join a dynamic fintech start-up revolutionising banking in emerging markets.
- Benefits: Competitive salary, share options, and exciting growth opportunities.
- Other info: Be part of a collaborative team with a fun and empowering culture.
- Why this job: Make a real impact by turning complex data into actionable insights.
- Qualifications: 5+ years in Data Science with strong Python and SQL skills.
The predicted salary is between 54000 - 66000 £ per year.
Your Role: As a Senior Data Scientist focused on risk modelling, you will be responsible for building, improving and monitoring scoring models used to assess customer creditworthiness across our markets. You’ll work closely with business, analytics and engineering teams to translate data into critical decisions.
What You Will Be Doing:
- Develop and implement application and behavioral risk-scoring models
- Perform feature engineering to improve predictive power and model performance
- Analyze data to identify trends and opportunities to improve scoring logic
- Collaborate with developers and business analysts to integrate models into production systems
- Monitor and analyze model performance in production and iterate for improvement
Who You Are:
- Independent and proactive—you take ownership of problems and drive solutions
- Analytical thinker—you enjoy working with complex data and turning it into actionable insight
- Effective communicator—you can clearly explain models and outcomes to non-technical stakeholders
- Curious and impact-driven—you want your models to make a real difference
Your Experience:
- 5+ years in Data Science with hands-on experience building scoring models
- Deep knowledge of machine learning and statistical modeling techniques
- Strong Python skills (Pandas, Scikit-learn, TensorFlow, PyTorch)
- Proficiency in feature engineering and model selection
- Strong SQL skills and experience working with large datasets
- Experience communicating with cross-functional teams including non-technical partners
What We Are Offering:
- Competitive salary is negotiable depending on the candidate's level
- Share options
- We are still a start-up and more benefits are on the way
About Fintech Farm: We are a UK fintech creating successful neobanks in emerging markets in partnerships with local traditional banks. The mission is to make banking services accessible, simple and fun to use worldwide and the goal is to launch neobanks in 50+ markets, serving 100m+ customers. Since our foundation in 2020, we’ve so far launched neobanks in Azerbaijan (2021), Vietnam (2023), Kyrgyzstan (2024) and India (2025), with 2m+ customers collectively and have more markets on the near horizon!
Why Fintech Farm is a great place to be:
- Customers: We always go above and beyond to provide an amazing customer experience. And who said that banking has to be boring? We make our apps not just easy but fun to use.
- People: We have 250 employees and we’re all business partners in our company - each with stock options that give us a real stake in the business. As we grow and succeed, we all share in the upside. We work with strong individuals whom we empower and trust rather than micromanage. We always stay curious and open-minded.
Senior Data Scientist in London employer: Fintech Farm Ltd
Fintech Farm Ltd is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from competitive salaries, share options, and ample opportunities for professional growth, making it an ideal place for those looking to make a meaningful impact in the fintech industry.
