Kershner Trading Group
Experienced Quantitative Portfolio Manager or Strategist
Kershner Trading Group, New York, New York, us, 10261
Overview
Join to apply for the
Experienced Quantitative Portfolio Manager or Strategist
role at
Kershner Trading Group
(a joint venture with SMB Capital). The firm has offices in New York, Austin, and Chicago and seeks individuals with an entrepreneurial spirit, strong work ethic, and analytical skills to develop new trading strategies for the U.S. equity market and cryptocurrency. Kershner Trading Group / SMB Capital provides a collaborative research environment with access to a cutting-edge data platform, high-performance research and trading infrastructure, investment capital, and trader coaching. Datasets include tick data, fundamental datasets, sentiment and other alternative data, enabling machine learning, simulation, and production environments with co-located execution engines and robust risk management tools. Responsibilities
Develop new trading strategies and conduct alpha research for the U.S. equity market and cryptocurrency. Utilize the firm’s data platform and infrastructure to enable research, testing, and deployment of strategies with proper risk monitoring. Contribute to quantitative research, backtesting, and live strategy deployment from inception to production. Collaborate in a research-driven environment and, where applicable, support trader coaching and knowledge sharing. Qualifications
MS or PhD in an Engineering or Pure Science discipline. Expertise in alpha research, portfolio construction, risk management, and trade execution. Quantitative skill sets: Artificial Intelligence, Machine Learning, Natural Language Processing, Portfolio Optimization, Linear Programming, Time Series Prediction, Factor Analysis, and/or Fundamental Equity Valuation. Programming: Python (preferred) and/or C++, C#, Java, or R. Proven track record or demonstrated direct contributions to profitable systematic trading strategies or processes in U.S. equities and cryptocurrencies; intraday strategies and medium- to high-frequency approaches are preferred. Experience with futures, FX, and international equity trading is a plus; ability to deploy and manage strategies from inception. Location: New York office with some options for remote teams. Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Finance and Sales
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Join to apply for the
Experienced Quantitative Portfolio Manager or Strategist
role at
Kershner Trading Group
(a joint venture with SMB Capital). The firm has offices in New York, Austin, and Chicago and seeks individuals with an entrepreneurial spirit, strong work ethic, and analytical skills to develop new trading strategies for the U.S. equity market and cryptocurrency. Kershner Trading Group / SMB Capital provides a collaborative research environment with access to a cutting-edge data platform, high-performance research and trading infrastructure, investment capital, and trader coaching. Datasets include tick data, fundamental datasets, sentiment and other alternative data, enabling machine learning, simulation, and production environments with co-located execution engines and robust risk management tools. Responsibilities
Develop new trading strategies and conduct alpha research for the U.S. equity market and cryptocurrency. Utilize the firm’s data platform and infrastructure to enable research, testing, and deployment of strategies with proper risk monitoring. Contribute to quantitative research, backtesting, and live strategy deployment from inception to production. Collaborate in a research-driven environment and, where applicable, support trader coaching and knowledge sharing. Qualifications
MS or PhD in an Engineering or Pure Science discipline. Expertise in alpha research, portfolio construction, risk management, and trade execution. Quantitative skill sets: Artificial Intelligence, Machine Learning, Natural Language Processing, Portfolio Optimization, Linear Programming, Time Series Prediction, Factor Analysis, and/or Fundamental Equity Valuation. Programming: Python (preferred) and/or C++, C#, Java, or R. Proven track record or demonstrated direct contributions to profitable systematic trading strategies or processes in U.S. equities and cryptocurrencies; intraday strategies and medium- to high-frequency approaches are preferred. Experience with futures, FX, and international equity trading is a plus; ability to deploy and manage strategies from inception. Location: New York office with some options for remote teams. Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Finance and Sales
#J-18808-Ljbffr