Two Sigma Investments, LP seeks Quantitative Researcher to research, develop, and back-test quantitative execution planning models using statistical analysis and machine learning methods.
Requirements
- Using libraries like NumPy, SciPy & Scikit-learn for efficient numerical computations
- leveraging advanced features & libraries for streamlined coding
- Skilled in tweaking & optimizing machine learning algorithms for enhanced performance
- Exp in applying machine learning techniques to real-world fin'l datasets effectively
- Well-versed in stat theories & methods, applying them to quantitative research
- capable of using parallel computing to boost computational efficiency & reduce processing time
- Able to write robust, scalable & maintainable code for production environs
Responsibilities
- research, dvlp, & back-test quantitative execution planning models by using stat analysis & machine learning methods
- Keep up w/ literature in quantitative fin'c, asset pricing & machine learning by reading journal articles & attending academic talks
- Using libraries like NumPy, SciPy & Scikit-learn for efficient numerical computations
- leveraging advanced features & libraries for streamlined coding
- Skilled in tweaking & optimizing machine learning algorithms for enhanced performance
- Exp in applying machine learning techniques to real-world fin'l datasets effectively
- capable of using parallel computing to boost computational efficiency & reduce processing time
Other
- Hybrid" work attendance policy: In-office work attendance req'd at aforementioned office address for collab days based on each team's req'mt; telecommuting / working from home permissible for remainder of same month.
- Master's or equiv in Stats, Math, Physics, CS, Economics or rel field; OR Bachelor's or equiv in Stats, Math, Physics, CS, Economics or rel field + 2 yrs' exp in Quantitative Research or rel exp.
- pass co.'s req'd skills assessment.
- Employer will accept any amount of grad coursework, grad research exp or exp w/ req'd skills.
