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 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! For additional Actuarial and Analytics job opportunities, visit . If you dont hear back from us within two weeks, please consider your application unsuccessful. We will keep your details on file for future opportunities.Contact: Andrea Morgan Recruitment ConsultantNetwork FinanceRecruiter
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