Responsibilities
- Building and maintaining the rules and logic that drive our automated customer decisions
- Working with our Data Science, Credit, and Business Operations teams to understand what's needed and turn that into changes on the platform
- Helping to monitor how our decisioning is performing and flagging anything that looks off
- Investigating and fixing issues when decisions aren't behaving as expected
- Contributing to improvements in how we work, based on data and your own observations
- Collaborating with wider engineering and IT teams on data-related projects
Requirements
- Some experience working with decision engines or rules-based platforms — ideally in financial services or fintech
- A methodical approach to problem-solving, with good attention to detail
- Curiosity and a willingness to learn new tools and technologies
- Good communication skills — you'll need to explain technical topics to people who aren't technical
Nice to Have
- Tools like GDS Link, Experian PowerCurve, or Provenir are a plus, but not essential
- Comfort working with data — SQL experience is helpful
- Some exposure to Python would be great
Work Arrangement
Hybrid — Remote, Cardiff, London
