Point72
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Seeking a mid-level Quantitative Risk Analyst with 3+ years of experience in quantitative research, trading, or risk management related to macro products. Responsibilities include analyzing portfolios, designing stress testing frameworks, conducting research on risk management approaches, and collaborating with technology and valuation teams.
Seeking an experienced researcher with a strong background in alpha research to conduct original quantitative alpha signal research, manage all aspects of the research process, and evaluate new datasets for alpha potential.
Dynamically managing portfolio risk, overseeing trade execution, supervising team of researchers and developers, designing and managing sophisticated investment strategies, conducting research and developing quantitative models.
Discretionary macro investment team is seeking a quantitative analyst/developer to enhance quantitative methods for portfolio management in the EM Asia and DM FX and rates markets. Responsibilities include maintaining, upgrading, and developing analytical tools, collaborating with internal teams, and contributing to pre-trade analysis and portfolio structuring. Candidate must have 2-5 years of relevant experience and a Master's degree in a quantitative discipline. Proficiency in Python, Excel, and VBA is required, along with knowledge of financial products and data extraction. Strong communication and problem-solving skills are essential.
The Cubist Data Analyst will be responsible for identifying data sources, coordinating with compliance and legal teams, assisting with data collection and maintenance, monitoring data infrastructure, and handling user requests and questions about data.
The Data Scientist will identify new datasets, engage with vendors, build processes for data ingestion and cleaning, analyze datasets for statistics and potential applications, research alpha signals for Portfolio Managers, and improve the data collection and cleansing infrastructure.