Want to know if this job is worth applying to?
Greater London, England, United Kingdom
Hybrid
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.
Take ownership: 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: Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions
Build the best technology in-house: we use new data sources, machine learning and AI to make machines do the heavy lifting
This is a 10 week internship program starting from 29th June 2027
Salary - £50,000 (per annum)
We’re looking for a super smart student who is great with numbers and loves problem solving to come and apply your skills in a start up environment and have a big impact on our business and how we do things.
What you'll be doing
Use your analytical and problem-solving skills to generate key insights from data, and use that insight to drive meaningful change in our strategy
Using data and modelling to ground assumptions for our NPV model, such as predicting what default rates will be in the future, and using that to inform our lending deicsions
Using data and analytics to drive decisions about who we should lend to, and how much we should lend to them, and how that changes with the economy and competition changes
Conducting hypothesis testing, and using your findings to change how we do things in areas such as lending strategy, pricing, and fraud detection
Presenting your findings to senior leaders in the company, then work with the product/tech team to get them implemented
What we're looking for
A university student in their penultimate year (can be undergraduates, masters or PhD students)
Must have coding skills in Python or SQL
Someone that loves numbers! You’ll be working with numbers every single day in this role so you’ll be able to demonstrate your ability to work with complex data sets, analyse them and draw insights
You’ll have a natural curiosity and love to dig into things to understand how they work
Startup mindset. We’re a fast-growth tech startup so you’ll be super excited to work in an entrepreneurial environment and have a real impact on the business
Interview Process
15-minute online test
Coding Take Home Task
Remote (video call) Task Debrief / Mini case study (60 mins)
Remote (video call) case study (60 mins)
In-person case study (60 min) + Culture Add Conversation (15 minutes) + a chance to meet other recent grads over lunch (30-45 minutes)
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.
Check out our blog!
