Software Engineer

We have recently been made aware of a phishing scam in which a phisher purports, through targeted advertising, to represent Point72's Hiring Department and requests that the targeted candidate create an AOL/AIM account in connection with a potential job opportunity at the firm. DO NOT RESPOND to this scam, which we have reported to LinkedIn. Please note that Point72 would never contact individuals via LinkedIn or otherwise from a non-Point72 email account, request confidential information, or ask a potential candidate to create an instant messaging account in connection with a job opportunity. To contact us online in connection with career opportunities, please go to www.point72.com/careers. Point72 is a family office managing the assets of its founder, Steven A. Cohen, and certain eligible employees. We invest in a wide range of asset classes and situations through our businesses: Point72 Asset Management, EverPoint Asset Management, Point72 Ventures, Cohen Private Ventures, and Cubist Systematic Strategies. Our 1100 employees, including our more than 500 investment professionals, operate as one Firm dedicated to succeeding together. We live by the tenets set forth in our Mission and Values statement, and seek to be the industry's premier asset management firm through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry's brightest talent. Point72 is headquartered in Stamford, Connecticut, and maintains affiliated offices in New York, Hong Kong, London, Tokyo, Singapore, and Paris. Point72 Asset Management, L. P. is a family office and as such is not required to register as an investment adviser with the U. S. Securities and Exchange Commission. Point72 Asset Management does not seek, solicit or accept investors that are not eligible family clients, as defined in the rules promulgated under the U. S. Investment Advisers Act of 1940, as amended.

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions. This role will also work with the AI research group on various projects such as creating synthetic data for training and using MCP agents to streamline research workflow. The ideal candidate will have a PhD or be a PhD candidate in machine learning, computer science, or related AI fields, with experience in sequential modeling, deep neural networks, and natural language processing. Proficiency in Python and R, experience with TensorFlow or PyTorch, and strong analytical and communication skills are required.

Seeking a Machine Learning Engineer to develop AI solutions for high-frequency trading technology at Point72's Cubist affiliate.

Machine Learning Engineer

United States

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions. This role will also work with the AI research group on various projects such as creating synthetic data for training and using MCP agents to streamline research workflow. The ideal candidate will have a PhD or be a PhD candidate in machine learning, computer science, or related AI fields, with experience in sequential modeling, deep neural networks, and natural language processing. Proficiency in Python and R, experience with TensorFlow or PyTorch, and strong analytical and communication skills are required.Requirements:<ul><li> PhD or PhD candidate in machine learning, computer science or other AI related research fields</li><li> Experience with sequential modeling and time series forecasting using deep learning</li><li> Experience with deep neural networks and representation learning</li><li> Prior experience working in a data driven research environment</li><li> Experience with translating mathematical models and algorithms into code</li><li> Proficiency in programming languages such as Python and R</li><li> Experience with machine learning software libraries such as TensorFlow or PyTorch</li><li> Experience implementing Agent or Context engineering is strongly preferred</li><li> Experience with natural language processing technology is strongly preferred</li><li> Excellent analytical skills, with strong attention to detail</li><li> Collaborative mindset with strong independent research ability</li><li> Strong written and verbal communication skills</li><li> Commitment to the highest ethical standards</li></ul>Benefits:<ul><li> Not explicitly listed in the posting</li></ul>

Point72

Machine Learning Engineer Seeking a Machine Learning Engineer to develop AI solutions for high-frequency trading technology at Point72's Cubist affiliate. Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions. This role will also work with the AI research group on various projects such as creating synthetic data for training and using MCP agents to streamline research workflow. The ideal candidate will have a PhD or be a PhD candidate in machine learning, computer science, or related AI fields, with experience in sequential modeling, deep neural networks, and natural language processing. Proficiency in Python and R, experience with TensorFlow or PyTorch, and strong analytical and communication skills are required. Software Engineer Developer Relations (DevRel) Point72 investment-management financial-services alternative-investment investment-banking venture-capital-and-private-equity-principals asset-management advertising analytics consulting consumer-internet digital-marketing digital-media finance growth-hacker information-technology internet marketing services Python R TensorFlow PyTorch New York

The role involves applying AI technologies to solve real-world problems, creating AI agents, and collaborating with research teams. It requires advanced knowledge in machine learning, deep learning, and AI research environments.

Credit Execution Trader

The position is for an execution trader on a discretionary macro portfolio management team focused on credit markets. Responsibilities include working with the Portfolio Manager on electronic and non-electronic credit trade execution, maintaining relationships with liquidity providers, analyzing investment-grade new issues, and managing positions such as CDS rolls. The role also involves participating in research projects like transaction cost analysis and broker/algorithm evaluation. The ideal candidate has 3-5 years of experience as a credit trader in corporate bonds or CDS, familiarity with OMS/EMS platforms like MarketAxess and TradeWeb, and strong analytical, operational, and communication skills. The role is based in New York and requires a driven, collaborative, and ethical professional.

Seeking an execution trader to manage credit trades and maintain market relationships within a macro portfolio team.

The position is for an execution trader on a discretionary macro portfolio management team focused on credit markets. Responsibilities include working with the Portfolio Manager on electronic and non-electronic credit trade execution, maintaining relationships with liquidity providers, analyzing investment-grade new issues, and managing positions such as CDS rolls. The role also involves participating in research projects like transaction cost analysis and broker/algorithm evaluation. The ideal candidate has 3-5 years of experience as a credit trader in corporate bonds or CDS, familiarity with OMS/EMS platforms like MarketAxess and TradeWeb, and strong analytical, operational, and communication skills. The role is based in New York and requires a driven, collaborative, and ethical professional.Requirements:<ul><li> 3-5 years of work experience as a credit trader in corporate bonds or CDS</li><li> Experience with OMS/EMS platforms such as MarketAxess and TradeWeb</li><li> Team player, driven, and collaborative</li><li> Understanding of order lifecycle from order generation to booking and TCA</li><li> Keen intuition for markets and a passion for studying them</li><li> Intellectual curiosity with strong social skills</li><li> Tenacious, detail-orientated, organized, and proactive about potential operational risks</li><li> Strong problem solving and communication skills</li><li> Commitment to the highest ethical standards</li></ul>Benefits:<ul><li> Benefits information not explicitly listed in the posting</li></ul>

Credit Execution Trader Seeking an execution trader to manage credit trades and maintain market relationships within a macro portfolio team. The position is for an execution trader on a discretionary macro portfolio management team focused on credit markets. Responsibilities include working with the Portfolio Manager on electronic and non-electronic credit trade execution, maintaining relationships with liquidity providers, analyzing investment-grade new issues, and managing positions such as CDS rolls. The role also involves participating in research projects like transaction cost analysis and broker/algorithm evaluation. The ideal candidate has 3-5 years of experience as a credit trader in corporate bonds or CDS, familiarity with OMS/EMS platforms like MarketAxess and TradeWeb, and strong analytical, operational, and communication skills. The role is based in New York and requires a driven, collaborative, and ethical professional. Credit Execution Trader Analyst Point72 investment-management financial-services alternative-investment investment-banking venture-capital-and-private-equity-principals asset-management advertising analytics consulting consumer-internet digital-marketing digital-media finance growth-hacker information-technology internet marketing services New York

The role involves executing credit trades, analyzing new issues, and collaborating with liquidity providers and back office teams. It requires experience in credit markets and strong problem-solving skills.

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