Data Scientist, Proprietary Research

POINT72, L.P.
New York, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$125,000.0 - $150,000.0
Working hours
Regular working hours
Job source

Tech stack

Big Data Computer Programming Data Mining R (Programming Language) Python (Programming Language) Machine Learning Standard Sql Unstructured Data Apache Spark Performance Monitor

Job description

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

Requirements

  • 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 ā€œelevate the roomā€ 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, * 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

Benefits & conditions

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 the company

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 ;br>

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