LendableOfficial careers listing

Posted yesterday

Analyst

Pay

Not stated

Location

London

Remote

Skills this role screens for

PythonSQLAI/MLData scienceAnalyticsCommunicationResearchFinance

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About the role

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:

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.

  • 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 https://uk.trustpilot.com/review/lendable.co.uk)

Also

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

The company

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.

The work

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.

Also

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

The company

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

Also

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

Who they want

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

Nice to Have

  • Exposure to credit risk or financial datasets
  • Interest in Data Engineer

Lendable

Found on the web. You apply on the company's own site

Where this listing comes from

From Lendable's own careers system (Ashby).

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