Data Scientist, Proprietary Research

Point72; New York (NY); On-site; USD 125,000 - 150,000; Full time

Benefits offered by this job

Fully paid health care benefits

Generous parental and family leave policies

Mental and physical wellness programs

Tuition assistance

401(k) savings program with employer match

Job summary

Point72 in New York is looking for a Data Scientist to conduct research through data mining and statistical modeling to uncover insights. You will tackle challenges involving large unstructured data sets and deliver findings to investment teams.

The ideal candidate will have a Masters/PhD in a quantitative discipline alongside strong programming skills in Python and an exceptional understanding of statistics. The role offers a competitive compensation package and benefits focused on employee well-being.

Qualifications

• 1+ year of professional experience.
• Strong programming skills in Python (preferred), R, Spark, and SQL.
• Exceptional understanding of statistics and advanced modeling techniques.

Responsibilities

• Conduct research through data mining and statistical modeling.
• Manage all aspects of the research and analysis process.
• Deliver research findings to investment teams.

Skills

Machine learning

Statistical modeling

Data mining tools

Python

R

Spark

SQL

Education

Masters/PhD in a quantitative discipline

Job description

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 researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions posed by our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% 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 big data that are used by our investment professionals to make investment decisions. You will have the opportunity to work in a highly collegial environment that emphasizes teaching and learning as a team. In this role, you will:

• Tackle the challenges of featuring and modeling large unstructured data using machine learning and statistical techniques
• Manage all aspects of the research and analysis process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring
• Deliver research findings to investment teams, portfolio managers, and other internal clients
• Work within a team to help drive technical innovation through a collaborative R&D process

What Excites You

• Staying current on the evolving alternative data market and its role in discretionary investing
• Speaking with experts both inside and outside the Firm to understand data needs and offerings
• Multi‑tasking and switching gears frequently to address the needs of the business
• Analytical thinking and ability to sift through large unstructured data sets
• Working in a fast‑paced, dynamic environment
• Working as part of a cross‑functional team made up of investment, research, and compliance professionals
• Experiment‑based approach with freedom to innovate

What Excites Us

• Excellent attention to detail, organization, and project management skills
• Strong verbal and written communication skills
• Superb business intuition and a solution‑orientated, methodological approach to problem solving
• Ability to collaborate and build relationships across business units within the Firm
• People who “elevate the room” through their work ethic, curiosity, and solution‑orientated attitude
• Adherence to the highest ethical standards working closely with the Firm’s Compliance team

What’s Required

• Demonstrated interest in machine learning, statistical models, and data mining tools
• Masters/PhD in a quantitative discipline with 1+ year of professional experience
• Strong programming skills in Python (preferred), R, Spark, SQL
• Exceptional understanding of statistics and advanced modeling techniques
• Ability to communicate complex analyses and results clearly

What Success Looks Like

• Integrity – You demonstrate 100% commitment to the highest ethical standards
• Ownership – You take charge of your work, uphold your commitments, and always do your best
• Commerciality – You focus on what matters, ask necessary questions, and are diligent about not wasting time
• Humility – You welcome and are receptive to feedback and learn from past mistakes
• Adaptability – You can triage business needs and context switch quickly and efficiently
• Admirability – You elevate the room through your work ethic, domain knowledge, and work product

We Take Care of Our People

We invest in our people, their careers, their health, and their well‑being. When you work here, we provide:

• Fully paid health care benefits
• Generous parental and family leave policies
• Mental and physical wellness programs
• Volunteer opportunities
• Non‑profit matching gift program
• Support for employee‑led affinity groups representing women, minorities and the LGBTQ+ community
• Tuition assistance
• A 401(k) savings program with an employer match and more

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 www.Point72.com/about.

Compensation

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.