Decision Science Modeller£40,000Leeds (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 OrganisationThis 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 RoleJoining 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:
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Develop and optimise scorecards and pricing models using statistical and machine learning methods
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Translate complex data into actionable insights for commercial stakeholders
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Work closely with operational teams to embed models and monitor performance
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Drive innovation by supporting the team's growth in advanced analytics and machine learning techniques
Candidate Profile
You'll need either:
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A Master's or PhD in a STEM subjector
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1-2 years' relevant experience in a modelling role within financial services
Essential:
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Strong coding ability in Python
Desirable:
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SQL proficiency
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Exposure to credit risk, collections, or pricing
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Knowledge of machine learning methods and practical applications
Package Overview
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£40,000 base salary
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Annual performance bonus
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Pension scheme
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Private healthcare
Register your interest by sending your CV to Daniel Abbasi via the apply link on this page.