About the role
About the team
Lendable is the UK market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science and Analytics sits at the heart of this USP, developing the credit risk models and strategies to underwrite loan and credit card products.
Our team is primarily focused on the pricing domain but we also work on other areas including product and credit. We implement a range of machine learning techniques and analytical tools to continually improve our product offering.
You will be working in the UK Loans team at Lendable and will work on projects related to pricing, funnel and credit optimisation in collaboration with the credit and product teams.
Join us if you want to
Work in a small, high-impact team where you will be mentored to solve complex analytical problems, eventually taking ownership of your own models
Be resourceful to solve problems and find smarter solutions than the status quo.
Work closely with other members of the team that will support developing your technical expertise and domain knowledge
Our team’s objectives
The pricing team owns the loans funnel analytics and pricing strategy.
We work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions.
How you’ll impact those objectives
Learn the domain of products that Lendable serves, understanding the data that informs strategy and modelling is essential to being able to successfully contribute value.
Research and propose improvements to our existing strategies and modelling methodology
Clearly communicate results to stakeholders through verbal and written communication.
Share ideas with the wider team, learn from and contribute to the body of knowledge.
Key Skills
Experience using Python (pandas, numpy, scikit-learn) and SQL
Theoretical understanding of core ML techniques and statistical principles
Confident communicator and contributes effectively within a team environment
Self-driven and willing to take ownership of specific tasks and analyses
Nice to Have
Interest in Data Engineering
Exposure to credit risk or financial datasets
Prior experience with financial modelling
The interview process
A phone call with one of the team
A take home task to complete in your own time
Task Debrief
Video Call case study (Remote)
Onsite Interview
Culture Interview
Meet the team you’ll work with daily
About Lendable
Lendable is on a mission to build the world's best technology to help people get credit and save money.
Founded in 2014
Profitable since 2017
Unicorn in 2021
£3.5bn valuation in 2022
Backed by Balderton, Goldman Sachs and Ontario Teachers' Pension Plan
Loved by customers & employees with top reviews on Glassdoor and 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 are held by big banks with dated systems and painful processes.
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 we all come together IRL to be together, build and exchange ideas
Our in-house chefs prepare 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 keen to make Lendable the most inclusive and open workspace in London
Check out our Glassdoor Reviews