# Analyst at Lendable > Hybrid · United Kingdom · Unspecified · Other · open. Source: https://alderhq.app/jobs/ashby%3Alendable%3Aca1c4c3c-bdd7-4938-88ef-9e9a8add238e (read 2026-11-03). ## Facts (observed) - Company: [Lendable](https://alderhq.app/companies/lendable) - Location text: London - Where it can be done from (inferred): Hybrid · United Kingdom (evidence: "Location: London") - Posted: 2026-10-29 (5 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-03 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/lendable/ca1c4c3c-bdd7-4938-88ef-9e9a8add238e - Skills listed (inferred): Python, SQL ## Pay and sponsorship - Posted pay: not posted - Licensed UK sponsor: registered as "Lendable Operations Ltd" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers)) ## Description (the employer's text) ### About Lendable 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 Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. ### Join us if you want to Take ownership: you are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people: Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions Build the best technology in-house: we use new data sources, machine learning and AI to make machines do the heavy lifting ### 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 but we also work on other areas including product and credit. We implement a range of machine learning techniques and analytical tools to continually improve our product offering. ### About the role You will be working in the UK Loans team at Lendable and will work on projects related to pricing, funnel and credit optimisation 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 models 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 technical expertise and domain knowledge ### 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 and modelling is essential to being able to successfully contribute value Research and propose improvements to our existing pricing strategies and modelling methodology Work closely with the credit team to align pricing decisions with credit risk and underwriting strategy 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 Experience using Python (pandas, numpy, scikit-learn) and SQL Theoretical understanding of core ML techniques and statistical principles Strong numerical and analytical skills, comfortable working with large datasets Confident communicator and contributes effectively within a team environment Self-driven and willing to take ownership of specific tasks and analyses 1-2 years' experience in a technical, analytical or data-focused role ### Nice to Have Exposure to credit risk or financial datasets Interest in Data Engineering Prior experience with financial or pricing modelling ### The interview process 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 ### Life at Lendable --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Alendable%3Aca1c4c3c-bdd7-4938-88ef-9e9a8add238e and the date you read it. Observed facts come from the employer's public job board; location reach, level, family and skills are inferences.