Credit Analyst
About Selina
At Selina Finance, our mission is to provide exceptional value with simple and flexible financial products. We’re achieving this by building a next-generation digital lender targeting homeowners across the UK. More than £2tn of 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.
We are building an incredible team and culture of high performance, development, reward and recognition, ready for the next phase of our adventure, and this is where you come in!
We have quite a few things to be proud of
🌏 We have 19 different nationalities across our London + Manchester and remote teams
🏆 Voted as ‘one of the fastest-growing businesses in the UK’ by Business Leader Growth 500 for 2025
🏆 Voted top 30 of ‘Tempo’s 100 best start-ups to work for’
🦾 Disability Confident Committed employer
🏆 BCorp Certified
✏️ Rated highly in our employee survey on:
✔Workplace Culture
✔Work Life/Balance
✔Employee Recognition
About the Role
We are seeking 2 Credit Analysts with 1–2 years of experience to join our growing Credit Risk and Data team. You will have the opportunity either to join our Credit Risk Team or our Data Engineering Team depending on your career aspirations and skillset.
The role is ideal for someone who enjoys working with data to generate insights, support decision-making, and build scalable reporting solutions. You will help transform raw data into actionable intelligence, supporting the development of new credit strategies, performance monitoring, and business initiatives.
You’ll work closely with Credit Risk, Data, Product, and Engineering teams to ensure data is accurate, accessible, and effectively used to inform both strategic and operational decisions.
What will you be doing?
Collect, clean, and structure data from internal systems and third-party sources.
Build and maintain dashboards, reports, and automated data pipelines for tracking credit and business performance.
Analyse customer behaviour, portfolio trends, and decision outcomes to identify risks and opportunities.
Translate analytical findings into clear recommendations for Credit Risk and Product stakeholders.
Support testing and monitoring of new credit policies, strategies, and decisioning engines.
Ensure data quality, consistency, and compliance with governance standards.
