The common responsibilities for this position include conducting advanced research to develop innovative quantitative trading strategies and algorithms for various asset classes. Researchers construct and optimize statistical models, signal processing techniques, and machine learning approaches to derive tradable insights from large datasets. They formulate and implement execution algorithms for efficient trading, collaborate with quant developers to translate research ideas into high-performance trading systems, and perform rigorous backtesting and simulations to validate trading strategies. Continuous monitoring and enhancement of deployed trading algorithms in response to market dynamics is essential, along with the development of quantitative models and tools for stock selection. Researchers analyze large datasets to identify patterns, trends, and market inefficiencies, and collaborate with traders and developers to integrate models into trading platforms. They also engage in innovative factor research, conduct time series analyses, and apply machine learning techniques to improve trading models and strategies. Additionally, responsibilities include ensuring compliance with risk limits and regulatory requirements, as well as contributing to the overall trading operations by adapting findings into actionable strategies.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
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