Decision Science Modeller
£40,000
Leeds (Hybrid Working Available)
An excellent opportunity for a high-performing Master's or PhD graduate—or a modeller with 1–2 years’ experience in financial services—to step into a data-driven analytical role. You’ll support the development of scorecards, pricing strategies, and segmentation models within a leading player in the consumer finance space.
About the Organisation
This is a well-established and growing financial services firm operating across the UK and Europe. The business focuses on acquiring and managing diverse consumer finance portfolios and is known for its customer-first approach. They place a strong emphasis on ethical treatment, compliance, and data-led decision-making, working with a wide range of clients across financial services and utilities.
The Role
Joining a high-performing Decision Science team, your remit will involve end-to-end predictive modelling and analytics. You’ll play a vital role in shaping strategic decisions across the business.
Key Responsibilities:
* Develop and optimise scorecards and pricing models using statistical and machine learning methods
* Translate complex data into actionable insights for commercial stakeholders
* Work closely with operational teams to embed models and monitor performance
* Drive innovation by supporting the team’s growth in advanced analytics and machine learning techniques
Candidate Profile
You’ll need either:
* A Master’s or PhD in a STEM subject
* or
* 1–2 years’ relevant experience in a modelling role within financial services
Essential:
* Strong coding ability in Python
Desirable:
* SQL proficiency
* Exposure to credit risk, collections, or pricing
* Knowledge of machine learning methods and practical applications
Package Overview
* £40,000 base salary
* Annual performance bonus
* Pension scheme
* Private healthcare
Register your interest by sending your CV to Daniel Abbasi via the apply link on this page.