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Graduate Analyst - Remote

Posted 3 days ago
Data Analysis
Full Time
UK

Overview

Lendable is on a mission to make consumer finance amazing: faster, cheaper, and friendlier. We're building one of the world’s leading fintech companies and are off to a strong start.

In Short

  • Join a fast-growing fintech company with a strong team.
  • Take ownership and make impactful decisions from day one.
  • Work in small, resourceful teams to solve problems.
  • Utilize data, machine learning, and AI for technology solutions.
  • Analyze data to drive lending decisions and strategies.
  • Conduct hypothesis testing to improve operations.
  • Present findings to senior leaders and collaborate with tech teams.
  • Ideal for graduates who love numbers and problem-solving.
  • Startup mindset is essential for success in this role.
  • Best-in-class compensation and equity offered.

Requirements

  • Graduate with a relevant degree.
  • Strong numerical skills and experience with complex data sets.
  • Natural curiosity and problem-solving mindset.
  • Ability to thrive in a fast-paced startup environment.

Benefits

  • Opportunity to scale a successful fintech company.
  • Work from home on Mondays and Fridays.
  • Fully stocked kitchen in the office for meals and snacks.
  • Private health insurance coverage for well-being.
  • Inclusive and open workspace culture.
Lendable logo

Lendable

Lendable is a rapidly growing fintech company on a mission to revolutionize consumer finance by making it faster, cheaper, and friendlier. As one of the UK's newest unicorns, Lendable has a team of over 400 people and has been profitable since 2017. The company is backed by prominent investors such as Balderton Capital and Goldman Sachs, and is highly rated by customers with a 4.9 rating on Trustpilot. Lendable has successfully rebuilt key consumer finance products, including loans, credit cards, and car finance, and aims to expand into major Western markets like the UK and US, where it seeks to challenge traditional banks with outdated systems. The company fosters a culture of ownership, innovation, and collaboration, encouraging its employees to take initiative and work in small, resourceful teams to build cutting-edge technology using AI and machine learning.

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