Point72
2025 Summer Internship - Data Scientist, Proprietary Research
Point72, New York, New York, us, 10261
ABOUT PROPRIETARY RESEARCH
On our proprietary research team-Market Intelligence-you'll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You'll work alongside a talented team with diverse skills, backgrounds, and perspectives.Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us-a majority of the leaders in our group were promoted from within.
ROLE SUMMARY
Our Data Scientists conduct research through data mining and statistical modeling to discover insights from large, complex data sets that are used by our investment professionals to make investment decisions. As part of the 10-week internship program in our New York office, you will gain exposure to:Working in a highly collegial environment that emphasizes teaching and learning as a teamTackling challenges of featuring and modeling large and unstructured data using machine learning and statistical techniquesManaging all aspects of the research and execution process including methodology selection, data collection and quality, modeling and analysis, and performance monitoringDelivering research findings to investment teams, portfolio managers, and other internal clientsWorking within a team to help drive technical innovation through a collaborative R&D processWHAT EXCITES YOU
Speaking with experts both inside and outside the Firm to understand data needs and offeringsMulti-tasking and switching gears frequently to address the needs of the businessAnalytical thinking and sifting through available data to find "the answer"Working in a fast-paced, dynamic environmentWorking as part of a cross-functional team made up of Investment, Research, and Compliance professionalsStaying current on the evolving alternative data market and its role in discretionary investingTaking an experiment-based approach with freedom to innovateWHAT EXCITES US
Excellent attention to detail, organization, and project management skillsStrong verbal and written communication skillsSuperb business intuition and a solution-oriented, methodological approach to problem solvingAbility to collaborate and build relationships across business units within the firmPeople who "elevate the room" through their work ethic, curiosity, and attitudeAdherence to the highest ethical standards and partnership with the firm's Compliance teamWHAT'S REQUIRED
Demonstrated interest in machine learning, statistical models, and data mining toolsPursuit of bachelor's, MS, or PhD degree in a quantitative disciplineStrong programming skills in Python (preferred), R, Spark, and/or SQLExceptional understanding of statistics and advanced modeling techniquesAbility to communicate complex analyses and results clearlyCommitment to the highest ethical standardsWHAT SUCCESS LOOKS LIKE
Integrity-You demonstrate 100% commitment to the highest ethical standardsOwnership-You take charge of your work, uphold your commitments, and always do your bestCommerciality-You focus on what matters, ask necessary questions, and are diligent about not wasting timeHumility-You welcome and are receptive to feedback and learn from past mistakesAdaptability-You can triage business needs and context switch quickly and efficientlyAdmirability-You elevate the room through your work ethic, domain knowledge, and work productTHE POINT72 SUMMER INTERNSHIP PROGRAMIn addition to the learning and development you'll receive in your day-to-day role with your team, as a part of our summer internship program you will:
Work alongside your fellow interns and be mentored by experienced professionalsMeet your peers through designated intern programming, volunteer opportunities, and social eventsAttend sessions with senior leaders discussing their expertise and career pathsGet hands-on access to best-in-class tools and resourcesGain exposure to groups and functions with unique responsibilities and perspectives on our industryDevelop technical, writing, and presentation skills
ABOUT POINT72Point72 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. For more information, visit www.Point72.com/working-here
The annual base salary range for this role is $125,000 - $150,000, 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.
On our proprietary research team-Market Intelligence-you'll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You'll work alongside a talented team with diverse skills, backgrounds, and perspectives.Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us-a majority of the leaders in our group were promoted from within.
ROLE SUMMARY
Our Data Scientists conduct research through data mining and statistical modeling to discover insights from large, complex data sets that are used by our investment professionals to make investment decisions. As part of the 10-week internship program in our New York office, you will gain exposure to:Working in a highly collegial environment that emphasizes teaching and learning as a teamTackling challenges of featuring and modeling large and unstructured data using machine learning and statistical techniquesManaging all aspects of the research and execution process including methodology selection, data collection and quality, modeling and analysis, and performance monitoringDelivering research findings to investment teams, portfolio managers, and other internal clientsWorking within a team to help drive technical innovation through a collaborative R&D processWHAT EXCITES YOU
Speaking with experts both inside and outside the Firm to understand data needs and offeringsMulti-tasking and switching gears frequently to address the needs of the businessAnalytical thinking and sifting through available data to find "the answer"Working in a fast-paced, dynamic environmentWorking as part of a cross-functional team made up of Investment, Research, and Compliance professionalsStaying current on the evolving alternative data market and its role in discretionary investingTaking an experiment-based approach with freedom to innovateWHAT EXCITES US
Excellent attention to detail, organization, and project management skillsStrong verbal and written communication skillsSuperb business intuition and a solution-oriented, methodological approach to problem solvingAbility to collaborate and build relationships across business units within the firmPeople who "elevate the room" through their work ethic, curiosity, and attitudeAdherence to the highest ethical standards and partnership with the firm's Compliance teamWHAT'S REQUIRED
Demonstrated interest in machine learning, statistical models, and data mining toolsPursuit of bachelor's, MS, or PhD degree in a quantitative disciplineStrong programming skills in Python (preferred), R, Spark, and/or SQLExceptional understanding of statistics and advanced modeling techniquesAbility to communicate complex analyses and results clearlyCommitment to the highest ethical standardsWHAT SUCCESS LOOKS LIKE
Integrity-You demonstrate 100% commitment to the highest ethical standardsOwnership-You take charge of your work, uphold your commitments, and always do your bestCommerciality-You focus on what matters, ask necessary questions, and are diligent about not wasting timeHumility-You welcome and are receptive to feedback and learn from past mistakesAdaptability-You can triage business needs and context switch quickly and efficientlyAdmirability-You elevate the room through your work ethic, domain knowledge, and work productTHE POINT72 SUMMER INTERNSHIP PROGRAMIn addition to the learning and development you'll receive in your day-to-day role with your team, as a part of our summer internship program you will:
Work alongside your fellow interns and be mentored by experienced professionalsMeet your peers through designated intern programming, volunteer opportunities, and social eventsAttend sessions with senior leaders discussing their expertise and career pathsGet hands-on access to best-in-class tools and resourcesGain exposure to groups and functions with unique responsibilities and perspectives on our industryDevelop technical, writing, and presentation skills
ABOUT POINT72Point72 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. For more information, visit www.Point72.com/working-here
The annual base salary range for this role is $125,000 - $150,000, 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.