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Data Scientist, Proprietary Research

Point72 Asset Management — Asset Management · Finance · Financial Services

New York, NY Mid Posted Nov 20, 2024
PythonSQLREST/APIsML

About the role

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 w/ 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 .

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.

What the index says about this role

  • First seen by JobLarper — Aug 2, 2026, 6 days ago. Older postings collect hundreds of applicants — a tailored résumé matters more the longer a role has been live.
  • No pay range in our index for this listing. Across 89 indexed Data Scientist roles in US that do publish one, the middle half sits between $195k and $308k, median $240k — JobLarper's read of the market, not a figure from Point72 Asset Management.
  • What Data Scientist roles ask for — across 355 indexed openings: Python (76%), SQL (63%), ML (58%), REST/APIs (34%), AI/LLM (30%). This posting names Python, SQL, ML, REST/APIs.
  • Point72 Asset Management is hiring actively — 95 open roles indexed.

Derived from the 27,000 roles JobLarper indexes daily from official company boards — not from the job description above.

⚡ JobLarper watched this role appear on Point72 Asset Management's official board on Nov 20, 2024. Sign up free to get alerted minutes after roles like this go live, and tailor your real résumé to the exact description — nothing invented.

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