Risk Analyst – Data Science & Analytics

In this hands-on role, you will leverage bureau data, advanced analytics, and machine learning to build and enhance data-driven products.

You'll work across the model development lifecycle, from use-case exploration and prototyping to validation, UAT, and productisation.

We're seeking a strong problem-solver with excellent analytics and coding skills who enjoys turning data into scalable solutions that deliver client impact.

Analyze large and complex bureau and financial services datasets to uncover insights, identify opportunities, and support the development of innovative analytics products.

Strong proficiency in Python and SQL, with hands-on experience working with large datasets for data preparation, exploration, feature engineering, modelling.

Solid understanding of statistics, machine learning, and model development, including regression, classification, clustering, ensemble methods, model validation, performance evaluation, and interpretability.

Frame business questions as analytical problems, develop data-driven solutions, and communicate insights effectively to both technical and non-technical audiences.

Commitment to building high-quality, reproducible analytics through strong coding practices, data quality assessment, documentation, testing, and validation.