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The Quantitative Developer will design and build a quantitative futures portfolio, develop trading infrastructure, build high-performance components for trading and simulation, and maintain platform stability. Responsibilities also include troubleshooting system issues.
The Quantitative Developer will build components for trading and simulation of global equities portfolios, enhance portfolio construction processes, and maintain the trading platform's stability and robustness, addressing any deficiencies and implementing effective solutions.
The Software Engineer will develop and integrate quant analytics and software solutions for Point72's Global Macro business, focusing on P&L and risk analytics tools, building scalable solutions, and improving efficiency through automation.
The Sector Analyst, Energy will provide industry insights and business fundamentals to support data scientists and engineers in their research. Responsibilities include developing expertise in key themes of the energy industry, composing research reports, collaborating with teams, and helping investment professionals make informed decisions.
As a Quantitative Researcher, you will conduct independent quantitative finance research focusing on statistical and predictive models. Responsibilities include methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring, utilizing large datasets to identify market anomalies.
As a Software Engineer for Point72’s Macro Front Office Technology, you will develop quant analytics and software solutions, create P&L and risk analytics tools, and improve business efficiency through automation, all while integrating technology with vendor systems and cloud technology.
The Quantitative Developer will build components for live trading and simulation, enhance automation and robustness of research infrastructure, develop signal processing and portfolio construction tools, maintain stability of the trading platform, and ensure effective data management while troubleshooting issues.
As a Data Engineer on the Proprietary Research team, you will design and build solutions for extracting insights from complex data sets, develop big data processing pipelines, and support visualization capabilities. Collaborating with investment professionals and data scientists, you'll leverage cloud technologies and handle both structured and unstructured data to create valuable research tools.
As a data analyst, you will collaborate with a portfolio manager and research analysts to analyze compliance-approved data impacting investment decisions in commodities. Your role includes building data products, automating processes, maintaining data structures, and leading vendor communication while documenting work extensively and staying updated on technologies.
The Credit Research Analyst will conduct fundamental credit research and financial modeling to identify investment opportunities in liquid credit markets. Responsibilities include analyzing capital structures, monitoring positions, synthesizing market information, and engaging with external relationships to develop views on issuers.
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