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Role:

\n

We are seeking an AI Engineer to work within the office of the CIO for fundamental equities at Point72 to apply the latest AI technologies to solve real world problems and streamline day-to-day operations. This role partners directly with L/S equity portfolio managers, analysts, and business leadership to build innovative solutions to improve efficiency and research quality across the equities platform.

The ideal candidate is a creative problem solver with a collaborative and commercial mindset and the ability to develop modern AI technologies.

Responsibilities:

\n

• Partner closely with investment professionals to understand their workflows and process and translate those into high impact AI solutions.
• Design and build AI‑driven research tools and workflows, with a focus on large language models (LLMs), retrieval‑augmented generation, and agentic systems.
• Build GenAI solutions, leveraging both internal models and external APIs.
• Apply emerging AI capabilities pragmatically, balancing innovation with robustness, speed, and adoption.
• Drive solutions from concept to production, including prototyping, evaluation, deployment, and user feedback loops.
• Collaborate with the AI platform engineering team to ensure solutions are scalable and well-integrated with existing systems.
• Be on the frontier of applying new AI technology, continually assessing new models and techniques for commercial relevance.

Requirements:

\n

• Bachelors, MS, or PhD in machine learning, computer science, statistics, or other quantitative discipline.
• Academic or industry experience with data analysis, NLP, or applied machine learning beyond LLMs.
• Cutting edge knowledge of LLMs and modern AI systems, including prompt engineering, fine‑tuning, evaluation, tool‑use, and retrieval‑based architectures.
• Strong ability to tackle open‑ended and complex problems and develop practical, deployable solutions.
• Proficiency in Python, SQL, and general software engineering principles.
• Experience building internal platforms or tools with heavy end user interaction and feedback.
• Ability to work cooperatively in a team-oriented, fast-paced environment
• Strong communication skills and ability to collaborate with non‑technical but highly sophisticated end users.
• Strong commercial mindset.
• Intellectual curiosity and an interest in financial markets.
• Commitment to the highest ethical standards.

About Point72:

\n

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here

The annual base salary range for this role is $150,000-$200,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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This role partners directly with L/S equity portfolio managers, analysts, and business leadership to build innovative solutions to improve efficiency and research quality across the equities platform. \u003C/p\u003E\u003Cp\u003E \u003C/p\u003E\u003Cp\u003EThe ideal candidate is a creative problem solver with a collaborative and commercial mindset and the ability to develop modern AI technologies. \u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EResponsibilities:\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EPartner closely with investment professionals to understand their workflows and process and translate those into high impact AI solutions.\u003C/li\u003E\u003Cli\u003EDesign and build AI‑driven research tools and workflows, with a focus on large language models (LLMs), retrieval‑augmented generation, and agentic systems.\u003C/li\u003E\u003Cli\u003EBuild GenAI solutions, leveraging both internal models and external APIs.\u003C/li\u003E\u003Cli\u003EApply emerging AI capabilities pragmatically, balancing innovation with robustness, speed, and adoption.\u003C/li\u003E\u003Cli\u003EDrive solutions from concept to production, including prototyping, evaluation, deployment, and user feedback loops.\u003C/li\u003E\u003Cli\u003ECollaborate with the AI platform engineering team to ensure solutions are scalable and well-integrated with existing systems.\u003C/li\u003E\u003Cli\u003EBe on the frontier of applying new AI technology, continually assessing new models and techniques for commercial relevance.\u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003ERequirements:\u003C/h3\u003E\\n\u003Cul\u003E\u003Cli\u003EBachelors, MS, or PhD in machine learning, computer science, statistics, or other quantitative discipline.\u003C/li\u003E\u003Cli\u003EAcademic or industry experience with data analysis, NLP, or applied machine learning beyond LLMs.\u003C/li\u003E\u003Cli\u003ECutting edge knowledge of LLMs and modern AI systems, including prompt engineering, fine‑tuning, evaluation, tool‑use, and retrieval‑based architectures.\u003C/li\u003E\u003Cli\u003EStrong ability to tackle open‑ended and complex problems and develop practical, deployable solutions.\u003C/li\u003E\u003Cli\u003EProficiency in Python, SQL, and general software engineering principles.\u003C/li\u003E\u003Cli\u003EExperience building internal platforms or tools with heavy end user interaction and feedback.\u003C/li\u003E\u003Cli\u003EAbility to work cooperatively in a team-oriented, fast-paced environment\u003C/li\u003E\u003Cli\u003EStrong communication skills and ability to collaborate with non‑technical but highly sophisticated end users.\u003C/li\u003E\u003Cli\u003EStrong commercial mindset.\u003C/li\u003E\u003Cli\u003EIntellectual curiosity and an interest in financial markets. \u003C/li\u003E\u003Cli\u003ECommitment to the highest ethical standards. \u003C/li\u003E\u003C/ul\u003E\u003Cbr\u003E\u003Ch3\u003EAbout Point72:\u003C/h3\u003E\\n\u003Cp\u003EPoint72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit \u003Ca href=\\\"https://www.point72.com/working-here/\\\" target=\\\"_blank\\\"\u003Ewww.Point72.com/working-here\u003C/a\u003E\u003C/p\u003E\u003Cbr\u003E\u003Cp\u003EThe annual base salary range for this role is $150,000-$200,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. 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