Senior Python Engineer (Full Stack)

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.

1. Take ownership: you are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

2. Work in small teams of exceptional people: Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions

3. 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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