Senior Algorithm Researcher- New York, NY
Direct research & trading for all market making strategies in US equity markets, including maintaining & improving these strategies by synthesizing & applying advanced computer engineering concepts, such as distributed computing & mass data algorithms. Relying on sophisticated computing theories & principles, including Monte Carlo simulations, sublinear & inference algorithms & network coding theory, lead the exploration & expansion of trading on alternative trading systems, coordinate the effort across multiple teams. Use knowledge of US equity market structure & regulations & computer-assisted statistical techniques to analyze market data & engineer & develop data-driven predictive financial models & trading strategies that forecast the performance of financial investment products. Use C++ to implement & test trading strategies based on predictive financial models. Lead long-term research & development projects to incorporate advanced academic research on Machine Learning & computer engineering into the firm's research & trading infrastructure, & evaluate existing infrastructure using these advanced concepts. Use C++, Python & object-oriented design skills to conduct data analysis with large-scale datasets in a latency-sensitive production environment, & develop, improve & operate systems & tools for live trading management & post-trade analysis.
Requirements: PhD degree (U.S. or foreign equivalent) in Computer & Applied Math, Math, Statistics, or a related quantitative field; OR Master's degree (U.S. or foreign equivalent) in Computer & Applied Math, Math, Statistics, or a related quantitative field, plus 2 years of experience in the position offered or related experience. All required experience must have included: Experience using Python & C++ to develop algorithms to analyze the co-movement of asset returns. Experience resolving operational issues by testing optimization strategies, troubleshooting & modifying software applications & advanced statistical models using Python & C++. Experience verifying mathematical accuracy of Machine Learning production models. Experience conducting data analysis with large-scale datasets in a latency-sensitive production environment using C++ & Python. Employer will accept any amount of professional experience with the required skills.
To apply: email your resume to HRTresumes@hudson-trading.com & reference code in subject line: YC635138.
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