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Finance Data Analyst - Remote

Posted 3 days ago
Data Analysis
Full Time
Worldwide

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

  • Take ownership across a broad remit.
  • Work in small teams of exceptional people.
  • Build the best technology in-house using new data sources.
  • Manage monthly investor servicing reports.
  • Reconcile large data sets for accurate reporting.
  • Develop automation tools to streamline processes.
  • Prepare compliance certificates and assist with financials.
  • Identify process improvements for efficiency.
  • Strong academic background in STEM, Data Science, or Finance.
  • Proficiency in Excel, Google Sheets, Python, and SQL.

Requirements

  • Sharp analytical and problem-solving skills.
  • Strong organizational skills for managing cross-team deliverables.
  • Thrives in an entrepreneurial environment.
  • Knowledge of machine learning techniques is a plus.
  • Interest in data engineering is a plus.

Benefits

  • Opportunity to scale up a successful fintech company.
  • Best-in-class compensation, including equity.
  • Work from home every Monday and Friday.
  • Fully stocked kitchen in the office.
  • Health insurance coverage.
  • Commitment to inclusivity and open workspace.
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and aims to expand into major Western markets like the UK and US, where it seeks to challenge traditional banks with outdated systems.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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