2 of 2 Permanent Credit Risk Jobs in Guernsey

that mindset, combining dedication to your craft with a commitment to the success of your team and the satisfaction of our customers. The Role 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 engineering role … ideal for someone who thrives on building and maintaining robust data pipelines that power underwriting, credit decisioning, and portfolio analytics. Youll 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. What you'll do Design, build, and maintain data pipelines that support credit risk modelling, underwriting, portfolio management, and regulatory reporting. Connect and ingest data from core ledger More ❯

their rapidly growing lending business. The Role This is a hands-on engineering role for someone passionate about building robust data systems that directly enable smarter, faster, and fairer credit decisions. Youll design, develop, and maintain data pipelines that power underwriting, credit decisioning, and portfolio analytics, working closely with cross-functional teams in risk, product, and data … science. Your work will sit at the heart of the business, enabling automation, risk monitoring, and data-driven insights that shape next-generation credit products for underserved markets. What Youll Be Doing Design, build, and maintain scalable data pipelines supporting credit risk modelling, underwriting, and portfolio management. Ingest data from diverse sources - including ledgers, transaction systems … credit bureaus, open banking APIs, and third-party providers. Implement automated processes for data validation, anomaly detection, and quality control to ensure accuracy and reliability. Deliver production-ready datasets that power credit decision engines and affordability models in real time. Partner with cross-functional teams (credit risk, data science, product, compliance) to understand business requirements and More ❯