Quantitative Analyst

As a Quantitative Analyst, you will play a critical role in developing and optimising credit risk scorecards, analysing data, and applying statistical methods to provide key insights for business decisions. You will collaborate with various teams to integrate data science and machine learning models into practical business applications, particularly within the realms of personal loans, credit cards, and vehicle finance.Qualifications:Honours Degree preferred in a quantitative field, such as Mathematics, Statistics, Actuarial Science, Data Science, or a related discipline.Experience:Minimum of 2-3 years of experience in a quantitative or analytical role.Proficiency in Python, R, and SQL.Expertise in developing credit risk scorecards and applying statistical methods.Experience in financial modeling, including pricing, provisioning, and capital models.Proficiency in both the theoretical and practical aspects of data science and machine learning.Strong analytical skills for generating actionable insights.In-depth knowledge of personal loans, credit cards, and vehicle finance.Understanding of database structures and the impact of analytical and modeling issues on business decisions. Excited to join this dynamic team? Apply now!