Research Alpha Ideas with a view to enhance predictive capability of new and existing models. Identify Concrete Research Objectives for advancing profitability of live trading strategies. Mentor and train junior quantitative researchers and interns. Use strong communication skills (verbal and written) to collaborate with other researchers, traders, and software developers on multi-asset, multi-market opportunities. Collaborate with junior researchers to analyze terabytes of raw tick data, identifying predictive market signals, and transforming them into new strategies and apply advanced statistical analysis skills while utilizing machine learning algorithms, derivative pricing, and Python (with focus on data analysis including pandas, sklearn, and numpy nodules). Collaborate with junior researchers to extend and optimize research and development platform, streamlining the strategy development process. Implement high-speed computational code in a variety of programming languages. Develop and test data-centric theories aimed at understanding intraday liquidity dynamics. Build research tools and applications for processing and examining market and trading data. Drive technical and intellectual innovation on all Research and Development (R&D) initiatives the team undertakes. Telecommuting may be permitted. When not telecommuting must report to HAP Capital Advisors LLC, 395 Hudson Street, 10th Floor, New York, NY 10014. Salary: $150,000 - $225,000/year
Minimum Requirements: Bachelor’s degree or U.S. equivalent in Statistics, Computational Finance, Financial Engineering, Economics, Mathematics, Applied Mathematics, Computer Science, or related field plus 2 years of professional experience as Quantitative Analyst, Quantitative Research Analyst, or related occupation/position/job title involving quantitative research for trading strategies. Must also have experience with the following special skills: 2 years of professional experience performing statistical data analysis using Python, R or Julia; 2 years of professional experience implementing ML algorithms on large data sets; 2 years of professional experience performing stochastic calculus; 2 years of professional experience performing Elite level Python data exploration, transformation, and analysis; and 2 years of professional experience applying machine learning models.
Please send resume to: hr@hap-capital.com. Must specify Ad Code XCEW.
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$150,000 - $225,000 a year
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