Risk Analyst – Data Science & Analytics

About the role

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 productization.

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
• 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

What you need

• 3–6 yrs of experience
• Analytics
• Machine learning
• SQL
• Python
• Statistics
• SAS
• Any graduate

Good to have

• Spark
• Databricks
• Credit risk
• Git
• Prototyping