Masters Degree in Financial Engineering and 3 months academic or professional experience parttime accepted implementing complex statistical models used for profitability assessment, loss forecasting, stress testing, and portfolio optimization. Experienced in working with large datasets, developing data testing and advanced analytics, and data sampling. Knowledge of programming languages such as SQL, R, and Python. Must be able to utilize Excel and Power BI to visualize model outputs. Employer will accept any suitable combination of education and experience that meets the minimum qualifications for the position.
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