Lead digital transformation projects focusing on infrastructure improvement, implement DevOps practices, and establish governance for successful outcomes. Collaborate with teams to enhance development experience and track performance indicators.

This role focuses on developing AI solutions for investment professionals, enhancing efficiency and research quality through modern AI technologies, specifically LLMs and agentic systems.

Develop and enhance software applications for trading systems and data analysis tools. Collaborate with teams, participate in code reviews, and gain exposure to advanced technologies.

Interns will design and build robust data pipelines, support big data processing, and work with cloud infrastructure to enhance investment research.

The role involves managing private investment valuations, coordinating with deal teams, presenting recommendations, and monitoring portfolio performance.

As a Market Data Support Engineer, you'll design, implement, and support Linux systems, manage infrastructure changes, and maintain co-location market data infrastructures.

Support application, data, and system stability for commodity trading. Resolve issues, onboard users, improve tools, and collaborate across teams.

The NLP Engineer will develop NLP solutions, explore datasets, and build GenAI solutions for a quant research team at Point72.

Assist in NLP research for finance by constructing trading features, formulating hypotheses, and launching signals into production.

The role involves designing and implementing cost allocation frameworks, analyzing financial data, and collaborating with teams to streamline financial processes.

The Data Strategy Operations Analyst will manage relationships with data providers, support legal and compliance workflows, and oversee content onboarding processes.

The internship involves learning about program management, collaborating with teams, developing project plans, and supporting strategic initiatives at Point72.

As a Site Reliability Engineer, you'll ensure high availability of Commodities Technology applications, automate processes, and contribute to incident analysis and monitoring systems.

The Fundamental Researcher conducts qualitative research to uncover insights about various industries, synthesizing findings into reports for investment professionals.

The candidate will develop software for quantitative trading, manage data pipelines, and enhance trading efficiency while working in a collaborative team.

The candidate will improve the data ETL pipeline, build analytical tools, manage operations, and expand into new markets and asset classes.

As a Summer Analyst, you'll support the investment process by conducting financial analysis, due diligence, portfolio management, deal execution, and relationship management.

Provide administrative support to investment teams by managing calendars, coordinating travel, creating expense reports, and maintaining relationships with partners.

Design and maintain scalable software solutions using C#/.NET Core, Azure, and SQL Server in a financial services environment, while mentoring junior engineers.

The Quantitative Researcher (NLP) will use NLP for data feature construction, formulate research hypotheses for alpha generation, build and test trading signals, and launch signals into production.