Head of Data Science
Up to £140,000
London (Hybrid, 3 days onsite per week)
Company:
They are reinventing car finance for the digital age to make it faster, fairer, and more flexible for everyone.
As a tech-first company, data is at the heart of everything they do - from real-time decisioning and risk modelling to personalising the customer journey and driving smarter business decisions. They are building a modern data stack and scaling our analytics capabilities to fuel innovation across the business.
Responsibilities:
* Working within the credit and analytics team to build a world class lending platform
* Analyse ways to increase acceptance rates while maintaining performance
* Identify data and algorithmic opportunities to reduce fraud risk
* Own the Collections strategy and deliver solutions to improve debt recovery
* Create analytic testing frameworks
Requirements:
* MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
* Expert in Python, R, SQL and a range of ML techniques (e.g., random forests, neural nets, reinforcement learning)
* A good understanding of the regulatory environment, especially responsible lending (creditworthiness/ affordability)
* Experience in using the latest data science techniques to enhance decisioning
* Strong background in risk management
How to Apply:
Please register your interest by sending your CV to Emily Burgess via the Apply link on this page.