Research, design & test predictive financial modeling systems by using advanced quantitative modeling & statistical analysis skills in the application of computational & analytical principles. Utilize quantitative analysis/research & data science practices to research & formulate testable hypotheses about equities markets.
Minimum Requirements:
PhD Degree in Statistics, Applied Mathematics, or related quantitative field; OR in the alternative, Master's Degree in Stats, Applied Math, Math or related quant field + 3 years of experience in Quantitative Research & Analysis types of position(s).
Required Knowledge and Skills:
- Ability to develop & fine-tune statistical models
- Ability to perform statistical data analysis on large-scale data sets, including global equities market data, trading data, & alternative data sources
- Time series methods to analyze market price & return data & perform statistical tests about stationarity & mean-reversion behaviors on time series data
- Regression analysis & statistical inference to understand correlations, tackle multicollinearity, & analyze power of predictive features
- Machine learning & deep learning techniques including tree-based methods & neural-network-based methods to explore non-linear relationships between predictive features & market returns
- Statistical modeling principles & practices, including hypothesis formulation & testing, application of various statistical modeling techniques, model selection & validation via in-out-sample method, & model diagnostics
- Ability to write code & develop efficient algorithms to implement large-scale data analyses, computations, & simulations
- Proficiency in R & Python
- Data analysis & visualization libraries, including Pandas, NumPy, & Matplotlib
- Machine learning libraries, including Scikit-learn, TensorFlow, & Keras
Additional Notes:
- Must pass company's required skills assessment
- Hybrid work attendance policy: In-office work required for collaboration days based on team requirements; remote work permissible for remainder of same month
Application Instructions:
Send resume to TS-Posting@twosigma.com or mail to:
TS/HR Dept
Two Sigma Investments
100 Ave of the Americas, 16 Fl
NY, NY 10013
Reference Job ID 13243
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