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Greater London, England, United Kingdom
Hybrid
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.
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
We’re looking for a full-stack Python engineer to join our Central Operations team.
Central Ops sits across our core products (Cards, Loans and Motor), focusing on shared operational challenges and opportunities. We build a mix of internally facing web applications and robust automations to help our Operations teams deliver great outcomes for customers, efficiently and at scale.
It’s a broad space: Operations makes up roughly half of our employee headcount and covers everything from day-to-day customer support up to complex areas like Fraud and Fincrime prevention. As our customer base grows rapidly, our role is to help ops keep pace without relying solely on headcount growth. We make intelligent, pragmatic use of AI where it adds real value, working closely with Product, Data Science and Analytics to deploy solutions that genuinely support our ops agents.
You’ll have real ownership from an engineering perspective, shipping features that are used daily by Ops teams. It’s an evolving space at Lendable, and what you build will help shape both our tools and our technical direction.
Some examples of things we’ve built recently:
Rebuilt our Ops QA admin system from the ground up, replacing an off-the-shelf tool with something tailored to our needs
Deployed a pipeline to summarise customer calls into concise notes using LLMs, automatically surfaced in ops admin panels — removing the need for manual note-writing
More than doubled the number of complaints processed by agents through a combination of targeted AI automation and improved UX
We’d consider the following essential to the role:
You have 8+ years of professional experience as a software engineer
Solid experience with Python in a web application context. You have some experience with web frameworks like FastAPI, Django or Flask. We use FastAPI.
Experience with Javascript/Typescript and a modern JS framework such as React, Angular or Vue.js. We generally use React & NextJS. You can build a frontend that's good enough for internal tooling
Strong engineering principles & practices: design patterns, testing, clean code and a good reviewer
Previous experience working in a product-focused team
A keen desire to want to learn and input into a highly collaborative team
You use AI tools like Copilot, Cursor, Claude or others in your day-to-day coding
The following are also a plus, but by no means essential. If you don’t meet all of these, please apply anyway!
Exposure to Domain Driven Design, Message-Driven Systems and Event Sourcing
Experience with cloud infrastructure, particularly AWS
SQL, and finding your way around data schemas
Shipping containerised software with Argo, Kubernetes, Docker and Terraform
Interview process
A 30 minute introductory call
Take Home Task
Technical Interview
Cultural/behavioural 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.
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