Senior Full Stack Engineer

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 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.

Join us if you want toTake 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 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 ’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 UXWhat we’re looking forWe’d consider the following essential to the role:

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 Java script/Typescript and a modern JS framework such as React, Angular or Vue.js. We generally use React & NextJSStrong engineering principles & practices: design patterns, testing, clean code and a good reviewer

Previous experience working in a product-focused teamA keen desire to want to learn and input into a highly collaborative teamA desire to learn about and experiment with Generative AI and LLMs. Actual experience is a plus

The following are also a plus, but by no means essential. If you don’t meet all of these, please apply anyway!

You use AI tools like Copilot, Cursor, Claude or others in your day-to-day coding

Exposure to Domain Driven Design, Message-Driven Systems and Event Sourcing

Experience with cloud infrastructure, particularly AWSSQL, and finding your way around data schemas

Shipping containerised software with Argo, Kubernetes, Docker and Terraform Skill with CSS and exposure to Tailwind Interview processA 30 minute introductory call

Take Home Task Technical Interview Cultural/behavioural interview

Life at…