Two (2) years of experience must include: Performing quantitative modelling, numerical analysis, and computational methods using programming languages including C/C++, C#, Java, FORTRAN, MATLAB, SAS as well as mathematical or statistical software packages; Performing financial modeling techniques, including value-at-risk type of models, interest rate models, risk quantification and forecast models, stochastic calculus for model evaluation, and model risk identification; Using data summary and visualization, hypothesis testing, estimation, regressions, time series analysis, and machine learning; and Conducting independent research, analyzing problems, developing numerical experimentation and testing, producing results, and assessing complex financial models including in-depth examination of model assumptions, methodologies, and strengths and weaknesses. May work in one of five disciplines, each responsible for a different type of modeling: 1) Credit Risk Modeling 2) Treasury Modeling 3) Market Risk Modeling 4) Pricing Modeling 5) Forecasting.