Job Description
Senior Data Scientist - Credit Risk
London – Hybrid
Up to £80,000 + Benefits
Our client is a high-growth fintech revolutionising consumer finance through cutting-edge technology and data science. Backed by top investors and consistently rated as a market leader, they are transforming the way loans, credit cards, and financial products are delivered - offering customers faster, more transparent, and seamless experiences.
As a Senior Data Scientist, you’ll play a pivotal role in developing proprietary risk models that drive strategic decision-making and product innovation. Working within a multidisciplinary team, you’ll apply advanced machine learning techniques to improve underwriting quality and enhance financial product offerings.
Key Responsibilities
* Build and refine credit risk models using state-of-the-art ML techniques.
* Translate business challenges into data-driven solutions.
* Deploy and monitor models autonomously, without reliance on a separate ML engineering team.
* Clearly communicate insights and recommendations to stakeholders.
What We’re Looking For
* Strong Python experience, with knowledge of ML techniques.
* Familiarity with the credit industry, financial products, and data-driven risk modelling.
* Experience across Credit modelling, lending, PoD etc
* Strong educational background from a top university in a STEM subject
* A proactive problem solver who thrives in a fast-paced environment.
* Strong communication skills and a collaborative mindset.
* Interest in ML engineering and data engineering.
* Strong SQL skills.
If this role looks of interest to you, please apply below, or reach out to Joseph Gregory