Head of Data Science, Credit Risk

The Company is seeking a Head of Data Science, Credit Risk, to lead its modelling function as an individual contributor. The role involves developing credit scorecards and broader decisioning models, applying machine learning to improve model performance and business outcomes, and overseeing the implementation and impact of predictive models across the product suite. The successful candidate will work across credit risk, collections, fraud, and related areas, contributing to business performance in a fast-paced environment. Applicants should have experience developing predictive models and strong skills in SQL and Python. Experience in consumer lending and a solid understanding of the credit lifecycle are highly desirable. The role also calls for the ability to manage multiple projects in a fast-moving setting; experience in financial technology is an advantage.