About the team
Lendable is the UK market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science and Analytics sits at the heart of this, developing the credit risk models and strategies to underwrite loan and credit card products.
Our team is primarily focused on the pricing domain, working closely with product and credit to shape how customers discover our offering. We're increasingly focused on new ways to reach and serve customers, from our own app to other channels, and use a range of analytical tools and techniques to bring these ideas to life.
You will be working in the UK Loans team at Lendable and will work on projects related to pricing, funnel performance and new product development, in collaboration with the credit and product teams.
Join us if you want to
Work in a small, high-impact team where you will be mentored to solve complex analytical problems, eventually taking ownership of your own strategies
Be resourceful to solve problems and find smarter solutions than the status quo
Work closely with other members of the team that will support developing your commercial and analytical expertise
Our team's objectives
The pricing team owns the loans funnel analytics and pricing strategy
We work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions
How you'll impact those objectives
Learn the domain of products that Lendable serves, understanding the data that informs strategy is essential to being able to successfully contribute value
Frame ambiguous problems clearly, breaking them down into testable questions and structured analyses
Research and propose improvements to our pricing strategies and support the development of new products and features
Clearly communicate results to stakeholders through verbal and written communication
Share ideas with the wider team, learn from and contribute to the body of knowledge
Key Skills
Strong numerical and analytical skills, with the ability to structure ambiguous problems and reason through them rigorously
Confident working with SQL and data to independently investigate and answer business questions
Comfortable using modern AI tools as part of your everyday workflow to accelerate analysis and research
Comfortable defining metrics, forming hypotheses, and evaluating trade-offs to guide decisions
Confident communicator and contributes effectively within a team environment
Self-driven and willing to take ownership of specific tasks and analyses
2-3 years' experience in an analytical or product-facing role, ideally within a financial technology environment
Nice to Have
The interview process