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 newest unicorns with a team of just over 700 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.
Take ownership across a broad remit. 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, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting
We're looking for a Analytics Engineer to join the analytical foundation for our US Cards team, the fastest-developing area of the business. In this role, you’ll work closely with analysts, product teams, backend engineers, and business stakeholders to help improve how data is structured, transformed, and consumed across the company.
The role is fundamentally about contributing to a strong analytical foundation: helping teams move from question to insight quickly, while improving data quality, scalability, and maintainability.
You'll be supported by experienced engineers and given the space to grow — picking up new skills, deepening your SQL and dbt knowledge, and building confidence across a modern data stack.
Contributing to the data models that support credit decisions, origination, portfolio analysis, and investor reporting.
Building and improving dbt models and transformations, guided by senior engineers and in close collaboration with analysts and stakeholders.
Acting as a bridge between analysts, backend engineers, product teams, and the data platform team to help ensure data is modelled and used effectively.
Identifying opportunities to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.
Supporting the scaling of our data infrastructure as the business grows.
You’ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude.
What we're looking for
We're looking for someone with solid analytics engineering fundamentals - or the drive to develop them - and the curiosity to apply them in a fast-moving environment.
More specifically, we’re looking for:
Essential:
Solid SQL skills and a willingness to keep improving them.
Some hands-on experience with dbt or ELT pipelines.
A collaborative working style and clear communication across technical and non-technical stakeholders.
A growing understanding of data modelling and how analytical datasets should be structured for reliability and usability.
Comfort using AI tools to move faster and improve the quality of your work.
Desirable:
Experience with Snowflake or another modern cloud data warehouse.
An interest in learning from and eventually supporting analysts through shared patterns and good practices.
Fintech or scale-up experience
Initial call
Take Home Task
Technical Interview
Culture Interview
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!
Lendable is a platform that makes borrowing money and saving money effortless; across loans, credit cards, car finance, utility bills, insurance, mobile contracts and more.
With an AI trained on a decade of proprietary data, Lendable takes a holistic view of each customer’s finances to expand access to affordable, fast and transparent credit and savings.
A relentless focus on building the best technology for customers results in being able to provide instant decisions, personalised rates, and transferring of funds within minutes. This in turn has delivered an unprecedented 5.0 stars out of 5 on Trustpilot from over 95,000 reviews on Lendable and a category-leading 4.8 stars for Zable.
Through Zable, Lendable’s superapp, the firm delivers personalised insights to millions of customers, making it simple to track your credit health, save money refinancing to cheaper deals, and access transparent credit options.
Lendable is now the UK’s largest non-bank lender for loans and one of the largest issuers of credit cards in the country, with a growing presence in the United States.
Check out Lendable, Zable UK (https://zable.co.uk/), Zable US (https://zable.com) and Autolend (https://www.autolend.co.uk/) for more details.
