About Lendable
Lendable is on a mission to make consumer finance amazing: faster, cheaper and friendlier.
> 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 400 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 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
About the role
We’re looking for an experienced full-stack Python engineer to join us as the newest member of the Internal Tools team.
Our mission is to deliver tools that maximise the effectiveness of employees at Lendable. The team supports both our Operations function and our knowledge workers (Product, Engineering and Data. We have a strong focus on both Generative AI / LLM adoption as well as more traditional web applications.
Scaling sustainably and profitably is a key area of focus across all areas of our business. We’ve taken our first big steps towards achieving our goals by:
> Using LLMsto provide a co-pilot for customer service agents, helping them get the right answer faster
> Deployinganin-house hub for productivity tools, aiming to reduce the friction of accessing and using LLMs for employees.
> Delivering many smaller tools to replace manual processes in fraud, investor management, ops and elsewhere
> But there is plenty more to do in this space and we’re looking for someone who can get stuck in and deliver value in a rapidly evolving, and often ambiguous space, working closely with product and end-users to find impactful solutions.
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What we're looking for (essentials)- 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
- 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
- A desire to learn about and experiment with Generative AI and LLMs (actual experience is a plus)
What we're looking for (desirable) - 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 process- A 30-minute introductory call with the talent team
- A short coding exercise to complete in your own time Onsite or Video technical Interview lasting 60-90 minutes, comprising of:
- Introduction of the team and kind of work you could be doing daily
- Discussion around the coding exercise you completed [technical interview topics]
- Onsite or video cultural/behavioural interview, including questions you may have about the company, role, etc
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Life at Lendable (check out our Glassdoor page)
> The opportunity to scale up one of the world’s most successful fintech companies.
>Best-in-class compensation, including equity.
> You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas.
>Our in-house chef prepares fresh, healthy lunches in the office every Tuesday-Thursday
> We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance
> We're an equal opportunity employer and are looking to make Lendable the most inclusive and open workspace in London
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