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Lead Decision Scientist – Credit - Remote

Posted 1 week ago
Data Analysis
Full Time
GB

Overview

LemFi is a financial technology company focused on reshaping money movement for the diaspora community globally. We are seeking a Lead Decision Scientist to develop and optimize credit decisioning models, playing a key role in our lending strategy and portfolio performance.

In Short

  • Lead development and maintenance of credit risk models.
  • Own the end-to-end model lifecycle.
  • Design and execute A/B experiments to improve approval and loss rates.
  • Analyze credit performance data for actionable insights.
  • Mentor a team of analysts/data scientists.
  • Collaborate with Data Engineering to deploy models.
  • Work with stakeholders to define modeling goals.

Requirements

  • 5-7 years in consumer credit, data science or decision science.
  • Experience building models in Python with libraries like scikit-learn.
  • Strong experience with transactional datasets and bureau data.
  • Deep understanding of feature engineering and data preprocessing.
  • Ability to evaluate models using metrics like AUC and precision/recall.
  • Familiarity with model monitoring and performance tracking.
  • Strong SQL skills for data extraction and transformation.

Benefits

  • Work in a fast-paced fintech startup environment.
  • Opportunity to shape the future of financial services.
  • Collaborative and supportive team culture.
LemFi logo

LemFi

LemFi is a financial technology company founded in 2020, focused on transforming the way the diaspora community in North America, Europe, and the United Kingdom manages their money globally. With over 1 million customers, LemFi offers a comprehensive app that enables users to send, receive, and manage their finances seamlessly. Backed by Y Combinator, the company has expanded its services to 13 countries and recently completed a $33 million Series A funding round. As a licensed financial institution in the UK, LemFi is committed to providing low-cost, real-time cross-border remittance services while fostering a startup culture that emphasizes agility, teamwork, and a family-friendly work environment.

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