Quick Summary
About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money.
Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start:
One of the UK’s most exciting unicorns with a team of over 800 people
Among the fastest-growing tech companies in the UK
Profitable since 2017
Backed by top investors including Balderton Capital and Goldman Sachs
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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
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.
About the Role
~1 min readYou 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.
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
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
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
~1 min readPrior experience with pricing or financial modelling
Interest in Python or other tools for data analysis
A phone call with one of the team
Video Call case study (Remote)
Onsite Interview
Culture Interview
Meet the team you'll work with daily
Winning team: the opportunity to scale up one of the world’s most successful fintech companies
Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites
Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls
Health coverage: support for your physical and mental wellbeing, including private health cover
Retirement & savings: long-term financial wellbeing through retirement savings plans
Employee referral programme: earn a competitive bonus when you refer successful new team members
Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations
Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations
Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.
Check out our blog!
Location & Eligibility
Listing Details
- Posted
- September 11, 2026
- First seen
- September 26, 2026
- Last seen
- September 26, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 26%
- Scored at
- September 26, 2026
Signal breakdown
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