Search the 81 jobs at Point72

The Cubist Quantitative Developer is responsible for designing, implementing, and optimizing the research and production pipeline for a medium frequency equity portfolio. Key tasks include maintaining production monitoring tools, troubleshooting production issues, and optimizing performance in various environments.

The candidate will engage in various aspects of the research pipeline, focusing on data processing, model training, portfolio management, and performance analysis. Responsibilities include finding trading alphas through statistical analysis, improving the research pipeline, and maintaining portfolio trading activities.

As a System Engineer in End User Technology, you'll install and configure Windows and Mac operating systems, troubleshoot hardware and software issues, and manage devices using SCCM and Intune. You will develop software packages, automate tasks with custom scripts, and provide technical support to end-users, all while collaborating on IT infrastructure improvements and documenting processes.

The Market Intelligence Internship at Point72 provides an opportunity for individuals interested in market research and data analysis. Interns will collaborate with teams to perform deep research, apply data science techniques, and assist in creating research products that inform investment strategies. The role emphasizes analytical skills and communication capabilities.

The role involves designing and implementing core data infrastructure and trading systems, developing data pipelines, building trading algorithms, backtesting tools, and collaborating with team members to create production-ready systems. Best practices for software development, testing, and deployment are also established.

As a Strategic Implementation Program Manager, you will drive delivery of cross-functional projects, collaborate with various teams, define program objectives, lead meetings, analyze business processes, and ensure successful adoption of program outcomes across the organization.

As a Software Engineer, you will support Risk Technology by delivering web applications, focusing on user experience, writing tested modules, and cooperating with back-end developers. You will architect build processes and communicate with external web services, while ensuring high-quality standards in frontend development.

As a Software Engineer on the Controller’s Technology team, you will modernize the P&L reporting platform through ETL, data warehousing, and reporting tools. This role involves building analytical solutions, improving processes, and solving complex problems using the latest technologies in a financial context.

As a Software Engineer II at Point72, you will design and implement user-friendly interfaces and data visualizations, ensuring optimal performance of applications. You will work on infrastructure challenges and collaborate with stakeholders to deliver high-quality products while utilizing technologies such as Python, SQL, and various cloud platforms.

The Receptionist will manage front desk operations, welcome guests, handle mail, assist with clerical tasks, maintain office supplies, and coordinate events. They will ensure a professional environment and help with onboarding new hires while upholding security protocols.

As a Software Engineer in Macro Data Technology, you will oversee system specifications for market data, optimize data pipelines, mentor team members, manage vendor relationships, and advance data integrity standards while staying updated on industry trends.

In this role, you will collaborate with the research team to build and implement a trading system, contributing to the design and ownership of projects crucial to the team's success while developing data pipelines and analytics tools for post-trading analysis.

As a Web Scraping Engineer, you will extract and process big unstructured data sets using Compliance-approved web crawling tools. Duties include creating tools for analysis and data management, testing data accuracy and compliance, and resolving scraping issues.

As a data analyst embedded in an investing team, you will analyze data to support investment decisions. Your role includes building data products, predictive models, optimizing data infrastructure, and collaborating with compliance analysts, focusing on equities.

The L/S Equities Data Engineer will collaborate with the investment team to connect fundamental research with technology, developing AI applications, quantitative insights, and tools to support investment strategies while utilizing various technologies and programming languages.

The Tax Manager will oversee tax compliance, manage all aspects of tax processes for management companies, provide tax advice, prepare and review workpapers, respond to audits, and implement automated tax compliance processes.

The Quantitative Risk Analyst will analyze portfolios to assess risks and performance, enhance risk management frameworks, and conduct research for innovative risk management techniques. Collaboration with senior team members and the technology team is essential for converting prototypes into functional models, ensuring high-quality risk assessments, and addressing inquiries from management and portfolio managers.

The role involves conducting quantitative alpha signal research, managing research processes including data analysis and backtesting, and evaluating new datasets for alpha potential. It requires strong analytical skills and the ability to apply new methodologies while collaborating with a team.

The Quantitative Researcher will conduct innovative research to identify systematic anomalies in macro markets. Responsibilities include feature engineering, modeling, strategy backtesting, and improving portfolio trading. The role demands a strong mathematical background and proficiency in data analysis.

The Cubist Portfolio Manager is responsible for managing portfolio risk and overseeing automated trade execution. This includes supervising a team, designing sophisticated investment strategies, conducting quantitative analysis, and engineering investment models to forecast risk and return.