Job description

A Career with Point72’s Market Intelligence Team On our proprietary research team—Market Intelligence—you’ll support Analytics team members as they work 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. About the MS/PhD Data Scientist Internship 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. During the 10-week program based in our New York office, you will gain exposure to: A highly collegial environment that emphasizes teaching and learning as a team Tackling challenges of featuring and modeling large and unstructured data using machine learning and statistical techniques Managing all aspects of the research and execution process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring Working alongside Analytics team members who deliver research findings to investment teams, portfolio managers, and other internal clients Driving technical innovation through a collaborative R&D process Summer Internship Program at Point72 In 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 professionals Meet your peers through designated intern programming, volunteer opportunities, and social events Attend sessions with senior leaders discussing their expertise and career paths Get hands on access to the wealth of tools and resources that Point72 employees use every day Gain exposure to groups and functions with unique responsibilities and perspectives on our industry Develop technical, writing, and presentation skills Participate in networking opportunities across the firm, with groups such as Trading, Finance, Trade Support, Compliance, and Technology What’s R equired Pursuit of master’s or PhD degree in a quantitative discipline Demonstrated interest in machine learning, statistical models, and data mining tools Strong programming skills in Python, R, Spark, and/or SQL Exceptional understanding of statistics and advanced modeling techniques Ability to communicate complex analyses and results clearly Commitment to the highest ethical standards About Point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit   point72.com . The annual base salary range is $130,000–$175,000 (USD), which will be prorated based on internship start and end date; this does not include overtime compensation. Actual compensation offered to the successful candidate may vary from posted hiring based upon geographic location, work experience, education, and/or skill level, among other things.

Requirements

Must-haves

A Career with Point72’s Market Intelligence Team
About the MS/PhD Data Scientist Internship
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.
During the 10-week program based in our New York office, you will gain exposure to:
A highly collegial environment that emphasizes teaching and learning as a team
Tackling challenges of featuring and modeling large and unstructured data using machine learning and statistical techniques
Managing all aspects of the research and execution process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring
Working alongside Analytics team members who deliver research findings to investment teams, portfolio managers, and other internal clients
Driving technical innovation through a collaborative R&D process
Summer Internship Program at Point72
In 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 professionals
Meet your peers through designated intern programming, volunteer opportunities, and social events
Attend sessions with senior leaders discussing their expertise and career paths
Get hands on access to the wealth of tools and resources that Point72 employees use every day
Gain exposure to groups and functions with unique responsibilities and perspectives on our industry
Develop technical, writing, and presentation skills
Participate in networking opportunities across the firm, with groups such as Trading, Finance, Trade Support, Compliance, and Technology
What’s R equired
Pursuit of master’s or PhD degree in a quantitative discipline
Demonstrated interest in machine learning, statistical models, and data mining tools
Strong programming skills in Python, R, Spark, and/or SQL
Exceptional understanding of statistics and advanced modeling techniques
Ability to communicate complex analyses and results clearly

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonsql

Platform: greenhouse
Effort: quick