Credit Strategy Analyst

Hybrid role based in London.

We're looking for a Credit Strategy Analyst who will be developing credit risk strategies that balance customer growth targets (volume) with credit risk. In this role, you will be using data and analytics to solve business problems related to credit risk, pricing and portfolio monitoring and analytics. The successful candidate will be a highly numerate graduate with strong foundations in mathematics, statistics, econometrics or related subjects, capable of translating complex, distributed data into clear, actionable business strategies. This role reports to a Credit Strategy Manager and will work closely with cross-functional teams including sales, data science, product, tech and operations, to develop our credit strategy and identify new opportunities through the application of cutting-edge analytical techniques.

About Uncapped: Founded in 2019, Uncapped is a fintech company focused on providing working capital to SMEs in North America and Europe. We leverage multiple data sources to make credit decisions faster, safer and more conveniently. We are working with the largest platforms in the world, including Amazon and Walmart, and strive to be the best alternative-lender globally.

What you will do:

• Build Data Driven Strategies: Identify the factors that shape credit outcomes, and use these signals to develop strategies that optimise business outcomes within our risk appetite. Explore alternate data sources and recommend data enrichment strategies to improve our decision engine.
• Structure & Build Reporting: Design, build, and maintain the reporting requirements for the risk team. You will ensure that the credit risk metrics are accurate, accessible, and up-to-date.
• Generate Actionable Insights: Move beyond simple reporting by analysing the data to find trends, opportunities, and emerging risks. You will need to visualise these findings and present them in an accessible fashion to help wider teams make evidence-based decisions.
• Cross-Functional Collaboration: Work closely with the commercial and engineering teams to ensure credit risk requirements are considered while building new propositions and introducing new channels/segments.

Who you are:

• Analytical: You have exceptionally strong analytical skills and can break down complex business problems into solvable components. You aren't afraid to challenge assumptions.
• Storyteller with Data: You are a confident communicator who can deliver clear strategies and insights to both technical and non-technical stakeholders.
• Educational Background: Undergraduate degree and/or Masters in Mathematics, Computer Science, Statistics, Econometrics or a related analytical field.
• Builder Mindset: You are comfortable in dealing with complex problems and taking messy, distributed data and turning it into a structured, automated solution.
• Technical and Coding Skills: You are skilled in programming and are confident in using Python and SQL and highly motivated to continue developing your coding skills. We are an AI led company so we expect you to be up to speed with the latest in the space and apply it in your day to day.
• Professional Experience: One to two years of experience in a credit or analytics role is preferred. But exceptional candidates with less experience are also encouraged to apply.

What we offer:

• Unlimited holiday: we believe that well-rested and happy people make the best employees.
• Competitive compensation plan.
• Personal growth fund: Raise your game from great to spectacular.
• Monthly recognition and awards: Celebrate wins big and small.
• The opportunity to make a big impact every day on the lives of European and US entrepreneurs.
• Optional workspaces in Warsaw, London and Atlanta.

We can only consider applications from candidates eligible to work in the UK without requiring visa sponsorship.