Analyst

About Lendable 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.

Join us if you want to 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

Life at Lendable 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 !