Full Time Quantitative Researcher - New York, NY. Research, analyze, design & develop predictive financial modeling systems; create & handle large-scale quantitative datasets for research & development.
Minimum requirements: Master's Degree in Electrical & Computer Engineering, Operations Research, Mathematics, Applied Mathematics, Statistics, Computer Science, or related quantitative field + knowledge of: probability; algorithm design, analysis & optimization; numerical analysis skills including machine learning, causal inference, Bayesian inference, hypothesis testing, stochastic process modeling & time series analysis; ability to adapt theory & algorithms to real-world problems in finance; large-scale data analysis; Unix/Linux, Bash & Version Control; Python & C; data analysis tools including NumPy, SciPy & Pandas; & ability to conduct in-depth research projects in a quantitative field, as evidenced by publication of research work in academic journals or conference proceedings.
Must pass company's required skills assessment. 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 TS-Posting@twosigma.com or mail to TS/HR Dept, Two Sigma Investments, 100 6 Ave, 16 Fl, NY, NY 10013. Reference Job ID 13033.
JOBS.NOW Note: To tap into these hidden job opportunities, it's crucial to adhere strictly to the application process outlined in each job ad. At JOBS.NOW, we ensure that every listing includes detailed employer instructions. Follow them precisely to be considered for these unique positions!
The "Log Application" button simply allows you to log the application for your records - JOBS.NOW does not submit any applications to employers directly. Remember to still apply through the method indicated in the job ad (mail, email, or via link).
Please note that JOBS.NOW is an independent website and does not post this listings on behalf of any employers nor do we receive any compensation for these listings. All listings are sourced via media or internet channels required by the PERM process.
