The common responsibilities for this position include performing statistical analysis of historical and current financial market data, processing large datasets to detect hidden signals and patterns to predict future events, devising and improving pricing models using sophisticated statistical models and machine learning techniques, and taking ideas from inception through detailed research, coding, testing, and production release. Additionally, the role involves working with trading and IT teams to implement and test trading strategies, conducting in-depth research and analysis of large-scale data to identify effective Alpha signals, developing and refining model strategies, and monitoring and enhancing the real-time performance of quantitative strategies. Collaboration with other researchers and portfolio managers to optimize investment portfolios is also key, along with backtesting strategies and integrating risk controls into models to comply with internal standards.
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.
Job classifications that have advertised a position
Academic degree required as indicated by all job postings
Job subclassifications that have advertised a position