Search the 33 jobs at Point72

Data Scientists on the proprietary research team conduct thorough research through data mining and statistical modeling to extract insights from large unstructured data for investment decisions. They manage the research process, communicate findings, and collaborate within a cross-functional team.

The Software Engineer will develop and integrate quant analytics and software solutions for Point72’s Global Macro business, focusing on building P&L and risk analytics tools. Responsibilities include creating scalable solutions, supporting portfolio management, and automating business processes to enhance efficiency.

The Sector Analyst for Energy will conduct fundamental research and provide insights on the energy industry for investment professionals. Responsibilities include developing expertise on industry KPIs, composing research reports, and collaborating with various teams to enhance data utilization for informed investment decisions.

As a Data Engineer on the Proprietary Research team, you will design and build solutions for data extraction and insights from large datasets. Your responsibilities include developing big data processing pipelines, cloud infrastructure, and visualization capabilities, while collaborating with investment professionals and researchers.

The Software Engineer will develop and integrate quantitative analytics and software solutions for Point72's Macro business. Responsibilities include creating P&L and risk analytics tools, building high-performance solutions, and automating processes to enhance efficiency in valuation practices.

The Credit Research Analyst will conduct in-depth credit research to identify investment opportunities, analyze various credit markets, develop investment viewpoints, monitor existing positions, and maintain external relationships with industry stakeholders.

As an Investor Relations Associate, you'll support the Capital Development and IR team by updating investor materials, creating meeting briefs, responding to inquiries, and managing data rooms. You'll engage directly with investors, assist in capital activity pipelines, and travel globally with senior professionals while maintaining investor relationships and preparing for roadshows.

The Quantitative Software Developer will design and build a quantitative futures and FX portfolio, focusing on developing trading architecture and high-performance components. Responsibilities include maintaining the trading platform, troubleshooting issues, and managing multiple tasks in a collaborative team environment.

The Administrative Assistant will support investment teams by managing schedules, coordinating travel, processing expense reports, and facilitating communication. This role involves multitasking, maintaining relationships, and working on special projects as needed.

The Quantitative Researcher will research and develop trading strategies, conduct quantitative research on market microstructure, develop predictive models for trade execution, and collaborate with cross-functional teams to implement trading solutions while staying updated on market changes.

The Quantitative Researcher will develop systematic trading models for various markets, focusing on alpha idea generation and backtesting. Responsibilities include improving existing strategies, evaluating new datasets, and contributing to the investment process within a team-oriented environment.

As a Quantitative Researcher, you will conduct in-depth quantitative research into systematic corporate bond and credit derivatives strategies. Your role includes implementing statistical and structural models, generating alphas and risk models, and collaborating with portfolio managers and traders to improve investment processes.

The Quantitative Developer will design and develop software systems for research and production, manage CI/CD pipelines, build data tools, automate order generation, and create UI tools for monitoring live trading activities. Responsibilities include ensuring system efficiency, robustness, and facilitating communication between developers and traders.

The Quantitative Developer will design and maintain the technology infrastructure for the Portfolio Construction and Analysis team. Responsibilities include improving automation, collaborating with researchers and technology teams, and refining data access and risk modeling systems.

The candidate will develop and improve the production trading system, conduct relevant research to enhance monetization, and build technologies that enhance research and trading productivity while expanding the system to new markets and asset classes.

The Quantitative Analyst will perform detailed analysis on portfolios to highlight strengths and weaknesses, develop new analytics for evaluating skills, and quantify market drivers to aid in decision making. They will also communicate findings to portfolio managers and contribute to shared research tools.

The Macro Quantitative Researcher will develop systematic trading models for macro markets, conduct innovative research, manage the research pipeline, and collaborate with the team to improve trading strategies. Responsibilities include feature engineering, strategy backtesting, and evaluating new datasets for alpha potential.

The Equity Quantitative Researcher will conduct innovative research to identify systematic anomalies in equity markets, develop alpha ideas, backtest strategies, and optimize for production, while maintaining trading portfolios. The role requires a strong foundation in applied statistics and proficiency in data manipulation using programming languages.

The Fundamental Data Researcher will design and own processes for normalizing and tracking fundamental data of public companies, conduct research to detect anomalies, and collaborate with the research team for predictive analysis on corporate events while exploring unstructured data sets.

The Cubist Portfolio Manager manages portfolio risk and oversees automated trade execution. They supervise a team, design and manage advanced quantitative modeling systems, execute extensive research, and develop statistical models to enhance trading strategies and expand markets.