Analyst

United States Digital Space LLC; Greater London; Hybrid; GBP 40,000 - 70,000; Full time

Benefits offered by this job

Flexible working: hybrid roles

Health coverage

Retirement & savings

Office meals & snacks

Socials & connection

Employee referral programme

Job summary

Lendable in the UK is seeking a data-driven Analyst to join the UK Loans team. You will work on pricing, funnel, and credit optimisation in collaboration with credit and product teams.

You'll learn the domain, analyze pricing strategies, and build models using Python and SQL. The role offers the chance to impact pricing decisions and work with a small, high-impact team in a fast-growing fintech.

Qualifications

• Experience using Python (pandas, numpy, scikit-learn) and SQL.
• Theoretical understanding of core ML techniques and statistical principles.
• Strong numerical and analytical skills; comfortable with large datasets.
• Confident communicator and team-oriented.
• Self-driven with ownership of specific tasks and analyses.
• 1-2 years' experience in a technical, analytical or data-focused role.

Responsibilities

• Learn the domain of products and data informing strategy and modelling.
• Research and propose improvements to pricing strategies and modelling.
• Work closely with the credit team to align pricing with credit risk and underwriting.
• Clearly communicate results to stakeholders verbally and in writing.
• Share ideas with the wider team and contribute to knowledge base.

Skills

Python (pandas, numpy, scikit-learn)

SQL

ML techniques

Numerical analysis

Communication

Ownership

1-2 years experience

Job description

About LendableLendable 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 newest unicorns with a team of just over 700 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 the company 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 team

the company 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 the company 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 the company 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 the company

• 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.