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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.

As a Software Engineer in Risk Technology, you will enhance web application features focusing on user experience. Responsibilities include coding in React, JavaScript, and CSS, creating reusable components, collaborating with back-end developers, and implementing a thorough understanding of the platform dynamics. You'll also automate builds and write unit tests.

As a Software Engineer on the Risk Technology team, you will build a scalable reporting framework for processing large datasets and support risk management initiatives. You will collaborate with peers, develop quantitative risk models, and innovate to improve product delivery, while solving complex problems using advanced technologies.

The Quantitative Researcher will develop systematic trading models for fixed income, currency, and commodity markets. Responsibilities include managing research pipeline, processing data, backtesting strategies, and improving trading environments. Strong collaboration and independent research skills are essential.

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.