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Permanent

Full Stack Engineer (Python)

London
money-bag Negotiable
D5C8D30A1568D745F635874A607EBD0C
Posted Today

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 600 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 roleWe’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

LLMs

to provide a co-pilot

for customer service agents, helping them get the right answer faster

Deploying

an

in-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.

What we''re looking for

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

and

NextJS

Strong engineering principles and practices : design patterns, testing, clean code and a good reviewerPrevious

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)

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

Life at Lendable

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, those based in the UK come together IRL at our

Shoreditch office in London

to be together, build and exchange ideas.

Enjoy a

fully stocked kitchen

with everything you need to whip up breakfast, lunch, snacks, and drinks 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

Check out our

blog

!

#J-18808-Ljbffr

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