Bachelor's or Master's degree in Mathematics, Statistics, Finance, Economics, or a related field. Strong languages such as Python and R. Experience with statistical modeling, time series analysis, and machine learning
Bachelor's or Master's degree in Mathematics, Statistics, Finance, Economics, or a related field. Strong languages such as Python and R. Experience with statistical modeling, time series analysis, and machine learning
planning. Demonstrated proficiency in utilizing statistical models and actuarial principles to inform business
planning. Demonstrated proficiency in utilizing statistical models and actuarial principles to inform business
business science, with a postgraduate degree in Statistics/Mathematics or similar. Additional qualifications
business science, with a postgraduate degree in Statistics/Mathematics or similar. Additional qualifications
reinsurance treaties, compiling and preparing treaty statistics, and addressing queries from brokers, reinsurers
industries Experience in mathematic modelling, statistic analysts and data manipulation Excellent understanding
degree in financial mathematics, accounting, or statistics. Strong financial modelling skills with high
industries Experience in mathematic modelling, statistic analysts and data manipulation Excellent understanding