Harnham

Decision Science Modeller

Job Location

Leeds, United Kingdom

Job Description

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.

Location: Leeds, GB

Posted Date: 5/3/2025
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Harnham

Posted

May 3, 2025
UID: 5175660577

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