Quantitative Researcher [REF 13456]

Two Sigma • New York, NY, USA • $165k - $325k / year • 4d ago

Use advanced modeling and statistical analysis skills to research, design, and develop advanced quantitative investment strategies.

Minimum requirements: Master's Degree in Mathematics, Statistics, BioStatistics, Computer Science or related quantitative field and knowledge of: measure-based probability theory, stochastic processes, high-dimensional statistics, time series analysis, Bayesian statistics, decision theory, and machine learning models including ability to organize, interpret and analyze multivariate panel and longitudinal data, establish channels of causality with state-of-the-art methods, and balance resulting statistical biases with potential statistical uncertainty; optimization theory and algorithms including linear, nonlinear, and convex optimization; data analysis skills including ability to identify, visualize, and validate statistical patterns in large financial and nonfinancial datasets (Python packages including Pandas, NumPy, SciPy, Matplotlib, and Scikit-learn); computer programming in Python, Java, or C++; ability to develop distributed system programs to accelerate large-scale data processing and complex computations; Linux/Unix operating systems; Bash scripting; version control collaboration software (Git, SVN); and conducting academic research in a quantitative field of science, as evidenced by citations of prior research work. Must pass company's required skills assessment.

Base pay: $165k-$325k/year (does not include other forms of compensation/benefits).

Note Hybrid work attendance policy: In-office work required at below office address for collaboration days based on each team's requirement; remote work permissible for remainder of same month.

Send resume to [email protected] or mail to TS/HR Dept, Two Sigma Investments, 100 Ave of the Americas, 16 Fl, NY, NY 10013. Reference Job ID 13456.

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