Risk Analyst – Data Science & Analytics
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Job Description
We are looking for a Risk Analyst – Data Science & Analytics to join our Analytics Product & Innovation team. In this hands-on role, you'll leverage bureau data, statistics, and machine learning to develop and enhance data-driven products. You'll work across the analytics lifecycle, from use-case exploration and prototyping to validation, UAT, and productisation. We're looking for a strong coder and analytical thinker who enjoys solving complex problems with data and building scalable solutions that deliver client impact.
What you'll do
• Analyze large and complex datasets to uncover insights, identify opportunities, and support the development of innovative analytics products.
• Transform business challenges and product ideas into data-driven solutions through exploratory analysis, feature engineering, statistical modelling, and machine learning.
• Develop, validate, and benchmark predictive models, scores, segmentations, and decision-support solutions, ensuring strong performance, stability, interpretability, and business impact.
• Build scalable and reusable analytical assets using Python and SQL, including automated workflows, utilities, and frameworks that enable repeatable product development.
• Collaborate with Product, Technology, and business teams to define requirements, support UAT, investigate issues, and drive the successful delivery and enhancement of analytics products.
• Communicate analytical insights and methodologies clearly through robust documentation while maintaining high standards for data security, model governance, compliance, and quality assurance.
Requirements
Department: Analytics
Function: Information Technology
Experience Level: Not Applicable