Credit Risk Data Scientist or Analyst London x2 per week Up to £50,000 + Equity The Company: A fast-paced fintech scale-up offering unique and innovative B2C and B2B2C solutions across consumer lending. Quickly becoming a household name and recognisable consumer brand, our client uses technology to make life easier for both customers and the partners it works with. This is a high-potential business solving a nine trillion pound problem within the payments space! The Role: The role-holder will use their analytical and data science skillset to solve a wide range of both commercial and credit focused problems across the business, for example, setting acquisition strategy, building ML scorecards, optimising portfolio profitability etc. This role requires a marriage of technical data science skills with a strong commercial acumen and the ability to apply those skills to solve a variety of complex business problems related to payments, lending and credit decisioning. Your Skills and Experience: Excellent academic background including a STEM degree from a top university, ideally with a numerate Masters from a to 10 university Experience working in a consumer credit, payments, fintech or management consultancy environment Experience using mass sets of customer data (and ideally credit bureau or payments data) to solve problems Strong SQL skills (and ideally Python skills) needed Ability to drive strategy and work with stakeholders We need a problem solver with strong commercial acumen How to Apply: Please register your interest by sending your CV to Conor Larkin via the apply link on this page