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Research: This involves the development and testing of trading strategies using historical market data. This can include statistical analysis, mathematical modeling, and machine learning techniques.
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Execution: This involves the implementation of trading strategies in live markets, which can include both buying and selling of securities. This can be done through manual or automated trading systems.
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Risk management: Monitoring and managing the risk associated with trading strategies, which can include measuring and managing position sizes, calculating and monitoring risk metrics, and implementing stop-loss orders.
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Data management: Collection, storage, and management of market data, which can include historical prices, volumes, and other market data. This is important to both research and execution of trading strategies.
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Technology infrastructure: This includes the hardware and software systems that are used to support the quantitative trading operation, including trading platforms, market data feeds, and risk management systems.
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Back-testing: This is the process of testing a trading strategy using historical data, to evaluate its performance and refine it before it’s deployed in live markets.
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Portfolio construction: This is the process of creating a portfolio of trading strategies to achieve specific investment goals, such as maximizing returns or minimizing risk.
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Risk and performance analysis: Analyzing the risk and performance of the trading strategies, and making adjustments as needed to improve performance and reduce risk.
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Execution & Order management: Transmitting orders to the market, and ensuring that they are executed promptly and at the best possible prices.
