对应专业:Math,Stats,Fin Engin,Math Fin,Comp Sci,Applied Math,Fin,Econ,Physics a rltd quant fld or frng equiv
所需培训:N
培训时长:
所需培训领域:
前置经验:N
经验时长（月）:
替代领域学历:N
替代专业:
可替代教育及经验组合:Y
所需教育层级:Bachelor's
其他可替代教育层级:
认可经验年限:5
境外教育背景:Y
可替代职业:Y
可替代职业时长（月）:24
可替代职业名称:Any occupation where Quantitative Finance or a closely related field experience was gained.
是否为正常职业要求:Y
是否需要外语:N
特殊技能: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.br br 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.