Risk Analyst – Data Science & Analytics

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. • 3+ years of experience in Data Science, Analytics, Decision Science, Statistical Modelling, or a related quantitative field , applying data-driven approaches to solve complex business problems. • Strong hands-on expertise in Python and SQL , with experience working on large datasets for data preparation, feature engineering, exploratory analysis, modelling, and insight generation. • Solid foundation in statistics, machine learning, and model development , including regression, classification, clustering, ensemble methods, model validation, performance evaluation, and interpretability. • Proven ability to transform business questions into structured analytical solutions, communicate insights effectively, and influence decisions across technical and non-technical stakeholders. • Strong focus on data quality, analytical rigor, reproducible coding, documentation, testing, and best practices throughout the analytics lifecycle. • Experience with modern analytics ecosystems such as Git, SAS, Spark, Databricks, cloud platforms, workflow automation, model monitoring, governance, and productisation . Exposure to lending, credit risk, bureau, fraud, portfolio, or decision analytics is beneficial but not required. Domain Note: We welcome candidates from diverse analytics backgrounds. While experience in credit risk or bureau analytics is valued, we primarily seek professionals with strong analytical thinking, coding expertise, statistical reasoning, and a passion for building impactful, data-driven solutions. Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Benefits: • Great compensation package and discretionary bonus plan • Core benefits include pension, health Insurance and term life Insuran