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A fast-growing fintech company in London is seeking a Credit Data Engineer to join its team. This role involves designing and maintaining robust data pipelines that support credit risk modelling and underwriting. The ideal candidate has 1–3 years of experience in data engineering within UK consumer lending, and is proficient in SQL and Python. This position offers the opportunity to work in a dynamic environment focused on innovation and collaboration.
About our Company: LemFi (YC S21, Series B) is revolutionizing cross-border financial services for immigrants through its multi-currency platform. We provide instant remittances, foreign exchange services, and multi-currency accounts, all in one seamless experience. With employees across 15+ countries, our platform supports twelve currencies and integrates directly with local banks and mobile money providers, ensuring fast, low-cost transactions. But we’re not stopping at payments. LemFi is building a comprehensive financial ecosystem empowering immigrants with the financial tools they need to thrive—wherever they go.
Our vision: To build the first full-stack financial services hub for the world’s immigrant population. 🚀
Who you are
You are someone who thrives in a fast-paced fintech environment where honesty and transparency are the foundation of how we work. You take ownership of your responsibilities and approach challenges with proactiveness. You believe that great results come from strong collaboration and open communication, and you embrace change with adaptability. At LemFi, we strive for excellence in everything we do — you share that mindset, combining dedication to your craft with a commitment to the success of your team and the satisfaction of our customers.
We are looking for a Credit Data Engineer to join our team and help build, scale, and optimise the data infrastructure at the core of our lending business.
This is a hands-on role, ideal for someone who thrives on building and maintaining robust data pipelines that power underwriting, credit decisioning, and portfolio analytics. You’ll work closely with credit risk, product, and data science teams to deliver the data foundations that enable innovative credit products and actionable insights.
Your work will directly influence our ability to automate decisions, monitor performance, manage risk, and deliver a best-in-class lending experience. You will join our growing Data team, with your focus dedicated to work with the Credit business unit.