Data Scientist

Job description

About Selina Finance

At Selina Finance, our mission is to give people access to the wealth they have in their homes, and we’re doing that by building a next-generation digital lender – starting with a home equity loan product. More than £2tn equity value is locked up in UK homes, while homeowners still need to rely on high-interest rate consumer loans, credit cards or overdrafts. We believe this is unfair and unnecessary. We offer a financing product unlike anything else out there, one that is as flexible as a current account, as affordable as a mortgage, and as easy to apply for as a consumer loan. If you want to build up an innovative FinTech with us, join our team!

What you’ll do:

  • Get involved in the early stages to help us shape the vision and the tech stack for our future data science products
  • Apply machine learning techniques to large, complex datasets to better understand our customers and markets and drive innovation
  • Develop risk, AVMs, pricing, credit scoring and decisioning models to aid the automation of our underwriting processes
  • Provide expertise on mathematical and statistical concepts and inspire the adoption of advanced analytics and data science across the entire breadth of our organisation
  • Support the development of analytic algorithms into production systems, writing production quality code and testing the production systems where applicable
  • Design, develop and maintain data science solutions for the business, which will be used internally and by our customers and partners.
  • Work closely with the Founders, Product, Growth and Operations Teams to develop and roll out new products when relevant, while keeping scalability and user experience front and centre

Job requirements

Requirements:

  • 3+ years commercial experience as a data scientist
  • Experience analyzing complex data sets and developing insights to influence the strategic direction of the organisation
  • Experience building and productionalising machine learning models, preferably with market leading cloud providers (Azure, AWS or GCP)
  • Practical working experience of SQL, Python, R and machine learning techniques and how they can be applied to real-world problems
  • Experience in an early stage start-up environment, ideally in the FinTech/PropTech space
  • Experience in mortgage or secured lending
  • Experience developing risk, property valuation, credit scoring or decisioning models
  • Ability to collaborate with team across the business, conveying technical concepts to non-technical audiences
  • You have a strong work ethic, an appreciation of detail and a desire to push the boundary

    What we offer:

    • Market competitive salary and stock options
    • 25 days holiday
    • Company contributory pension scheme
    • A values-based culture
    • A supportive, driven culture and a great team with an outstanding mix of talent and experience
    • A dynamic environment in which you can personally learn, develop and make an impact
    • Strong involvement in shaping a young FinTech business from its early days
    • Breakfast, fresh fruit and snacks and a programme of team social events