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Python Engineer

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 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 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 (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

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


Check out our blog!

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

Check out our blog!

Average salary estimate

$75000 / YEARLY (est.)
min
max
$60000K
$90000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Python Engineer, Lendable

At Lendable, we're on a mission to transform consumer finance, making it faster, cheaper, and friendlier! We're looking for a talented Python Engineer to join our Internal Tools team, where your impact will be felt right from day one. In this role, you’ll leverage your full-stack experience with Python and dive into web applications using frameworks like FastAPI, along with modern JavaScript libraries like React. You'll collaborate with incredible peers who are keen to find innovative solutions. If you’re passionate about building tools that empower employees and enhance productivity, we want you on our team. You’ll play a crucial part in integrating Generative AI and developing smart applications that replace manual processes for our operations team. At Lendable, we don't just develop products; we create a culture that values ownership and accountability. So, if you're eager to learn, experiment, and contribute to projects that make a real difference, this is the place for you! With profits since 2017 and backing from top investors like Goldman Sachs, we’re poised for tremendous growth, targeting underserved markets in the UK and the US. Join us, enjoy best-in-class compensation, and become part of our fast-paced fintech adventure. We can't wait to see how you can help us shape the future of consumer finance – let's make amazing things happen together!

Frequently Asked Questions (FAQs) for Python Engineer Role at Lendable
What are the key responsibilities of a Python Engineer at Lendable?

As a Python Engineer at Lendable, your primary responsibilities will include developing internal tools that maximize employee effectiveness, particularly for operations and knowledge workers. You’ll work on both traditional web applications and incorporate Generative AI solutions to improve productivity. A core part of your role will involve collaborating with product teams and end-users to identify impactful solutions in a fast-evolving environment.

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What qualifications are needed for the Python Engineer position at Lendable?

To succeed as a Python Engineer at Lendable, you should have solid experience with Python in a web application context, familiarity with fast web frameworks like FastAPI, and proficiency in JavaScript with a modern framework like React. Additionally, strong engineering principles, experience in a product-focused team, and a passion for learning about Generative AI are essential for this position.

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How does Lendable support the development of its Python Engineers?

Lendable is dedicated to the growth and success of its Python Engineers by fostering a collaborative environment where ongoing learning is encouraged. You will have the opportunity to experiment with advanced technologies, including Generative AI and machine learning. Engineers can also participate in projects that not only build their technical expertise but also emphasize innovative solutions for real business challenges.

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What technologies will I be working with as a Python Engineer at Lendable?

As a Python Engineer at Lendable, you'll primarily work with Python and frameworks like FastAPI. You’ll also be using JavaScript with frameworks like React. Familiarity with Generative AI, cloud infrastructure (especially AWS), and containerized software using tools like Docker and Kubernetes will be beneficial. You will find yourself engaging with various modern technologies while contributing to exciting projects.

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What does the interview process look like for the Python Engineer role at Lendable?

The interview process for a Python Engineer position at Lendable begins with a 30-minute introductory call with the talent team. Following that, you will complete a short coding exercise. The next step involves a technical interview lasting 60-90 minutes where you'll discuss your coding exercise and learn more about the team and daily responsibilities. Lastly, there will be a cultural interview where you can ask any questions regarding the company and the role.

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Common Interview Questions for Python Engineer
Can you describe your experience with Python web frameworks like FastAPI?

In your answer, you want to reflect on the projects you've worked on using FastAPI, focusing on the benefits it has brought in terms of speed and performance. Discuss the features of FastAPI that made your development process more efficient and how they compare to other frameworks you have used.

Join Rise to see the full answer
How do you ensure clean and maintainable code in your projects?

Explain your understanding of clean code principles and practices, such as consistent naming conventions, modular design, and adherence to testing protocols. You might want to share specific examples from past projects where you emphasized clean code practices that proved beneficial and enhanced teamwork.

Join Rise to see the full answer
What strategies do you use to solve complex problems in your programming?

Share your approach to breaking down problems into smaller, manageable parts. Discuss any frameworks or methodologies you employ, like TDD (Test-Driven Development), and refer to real scenarios where you applied these strategies to overcome challenges.

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Can you give an example of how you have used Generative AI in your projects?

If you have actual experience using Generative AI, detail how you integrated it into your workflows. Talk about the challenges faced, the solutions you implemented, and the outcomes you achieved. If you haven't used it practically, you can discuss your understanding and enthusiasm for its potential applications.

Join Rise to see the full answer
Discuss your experience working in a product-focused team.

Share insights into how being part of a product-focused team shaped your approach to development. Mention any collaborative tools or methods employed to support agile practices and how this environment has influenced your work ethic and outputs.

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What do you find most challenging about full-stack development?

Discuss your perspective on managing both front-end and back-end responsibilities, including the differences in skill sets required. Explain how you handle the challenges of staying updated with both sides of the technology stack, possibly through continuous learning and collaboration with specialists.

Join Rise to see the full answer
How do you stay updated on the latest web development trends?

Talk about your engagement with the development community through blogs, webinars, or online courses, highlighting a few resources that you find particularly valuable. Discuss any personal projects or experiments you’ve undertaken to apply new trends in practice.

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What experience do you have with cloud infrastructure?

Refer to the cloud platforms you have worked with, focusing on AWS or others as applicable. Highlight your responsibilities regarding deployment, scaling, and managing cloud resources, as well as any tools or services you utilized to support application performance.

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Describe a situation where you had to rapidly adapt to a change in project requirements.

Provide a specific example illustrating your flexibility and how you communicated effectively with your team amidst changes. Focus on the outcome and what you learned that can help improve project management in future scenarios.

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Have you implemented any automated testing in your projects? How?

If applicable, share your experience with automated testing frameworks and tools. Discuss the benefits you saw as a result of implementing testing in your projects, such as quality assurance and streamlined development cycles, paired with any challenges faced during implementation.

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Founded in 2014, Lendable offers loans to consumers by matching them with investors. It aims to make loan applications easier and quicker by using technology to automate credit decisions and give borrowers instant, personalized interest rates. Len...

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Full-time, hybrid
DATE POSTED
January 27, 2025

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