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
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, 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.
About the role
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 pricing strategies and modelling methodology
Work closely with the credit team to align pricing decisions with credit risk and underwriting strategy
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
Strong numerical and analytical skills, comfortable working with large datasets
Confident communicator and contributes effectively within a team environment
Self-driven and willing to take ownership of specific tasks and analyses
1-2 years' experience in a technical, analytical or data-focused role
Nice to Have
Exposure to credit risk or financial datasets
Interest in Data Engineering
Prior experience with financial or pricing modelling
The interview process
A phone call with one of the team
Video Call case study (Remote)
Onsite Interview
Culture Interview
Meet the team you'll work with daily
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!