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Experienced Quantitative Portfolio Manager or Strategist Chicago
2 months ago
Kershner Trading Group, a leading proprietary trading and technology firm with offices in New York, Austin, and Chicago, is seeking Experienced Quantitative Portfolio Managers / Strategists for the U.S. equity market and Crypto currency.
Kershner Trading Group is a collaborative research environment and is seeking individuals with a strong entrepreneurial spirit, exceptional work ethic, and strong analytical skills to develop new trading strategies. The firm provides a cutting edge data platform, high performance elastic research and trading infrastructure, investment capital and trader coaching/support. We provide access to rich datasets (e.g., tick data, fundamental datasets, sentiment and other alternative datasets), a state-of-the-art research environment ideal for machine learning, integrated simulation and production environments with co-located execution engines and advanced risk management and monitoring tools.
Ideal candidates will have an MS or PhD in an Engineering or Pure Science discipline with expertise in alpha research, portfolio construction, risk management and trade execution. Relevant quantitative skillsets include Artificial Intelligence, Machine Learning, Natural Language Processing, Portfolio Optimization, Linear Programming, Time Series Prediction, Factor Analysis and/or Fundamental Equity Valuation. Candidates should have a proficiency in one of the following programming languages: Python (preferred) and/or C++, C#, Java or R. Candidate should have recent track record or demonstrate a direct contribution to profitable systematic trading strategies or process in U.S. Equities and cryptos. Intraday strategies and medium to high frequency are preferred. Experience with futures, FX and international equity trading is also a plus. Candidates should have the ability to deploy and manage trading strategies from inception.
Opportunities are available in the Chicago office with some options available for remote teams and team members.
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