Requires a Masters Degree in Mathematics, Statistics, Financial Engineering, Mathematical Finance, Computer Science, Applied Mathematics, Finance, Economics, Physics, or a related field or foreign equivalent, plus 2 years of progressively responsible experience in Quantitative Finance or a closely related field. Experience must include 2 years of experience working with financial datasets, including cleaning and conducting quantitative analysis and research, including time series analysis; 2 years of experience using Python, or equivalent experience and deep knowledge of a similar programming language used in quantitative research; 2 years of experience conducting quantitative research on market inefficiencies and designing trading strategies; 2 years of experience using mathematical, statistical, machine learning or deep learning techniques in financial modeling; and Knowledge of above demonstrated through employer conducted testing. Alternatively, employer will accept a Bachelors Degree in Mathematics, Statistics, Financial Engineering, Mathematical Finance, Computer Science, Applied Mathematics, Finance, Economics, Physics, or a related field or foreign equivalent, plus 5 years of progressively responsible experience in Quantitative Finance or a closely related field. Experience must include 2 years of experience working with financial datasets, including cleaning and conducting quantitative analysis and research, including time series analysis; 2 years of experience using Python, or equivalent experience and deep knowledge of a similar programming language used in quantitative research; 2 years of experience conducting quantitative research on market inefficiencies and designing trading strategies; 2 years of experience using mathematical, statistical, machine learning or deep learning techniques in financial modeling; and Knowledge of above demonstrated through employer conducted testing.
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