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Credit Risk Manager - Remote

Posted 13 weeks ago
Finance / Legal
Full Time
UK, USA

Overview

Lendable is on a mission to make consumer finance amazing: faster, cheaper and friendlier. We are building one of the world’s leading fintech companies and are off to a strong start, being one of the UK’s newest unicorns with a team of just over 400 people.

In Short

  • Join a fast-growing fintech company.
  • Take ownership across a broad remit.
  • Work in small teams of exceptional people.
  • Build the best technology in-house.
  • Define the credit strategy for our evolving portfolio.
  • Discover insights from data to drive business outcomes.
  • Collaborate with cross-functional teams.
  • Monitor and assess the success of implemented strategies.
  • Daily coding experience with Python and SQL.
  • Proven experience in shaping credit card strategies.

Requirements

  • Proficiency in Python and SQL.
  • Experience in credit risk management.
  • Ability to challenge the status quo.
  • Strong analytical and problem-solving skills.
  • Understanding of economic impacts on credit decisions.

Benefits

  • Best-in-class compensation, including equity.
  • Work from home every Monday and Friday.
  • In-house chef prepares fresh lunches.
  • Private health insurance coverage.
  • Inclusive and open workspace environment.
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and aims to expand into major Western markets like the UK and US, where it seeks to challenge traditional banks with outdated systems.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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