What you need to have: Progress towards a Bachelor's degree in a quantitative or natural sciences field such as applied mathematics, statistics, engineering, operations research, finance, economics, data science, computer science, meteorology, or a demonstrated ability to learn new software and analytical concepts quickly. Organize client data, check data for reasonability, load data into predictive models, run the models, share insights with senior colleagues, and compile coherent and compelling narratives to help clients understand their degree of risk.