Data Scientist, Proprietary Research

Point72
·
Posted: 
April 18, 2023
·
Remote
Job Commitment
Full-time
Job Commitment
Entry Level
Job Function
Data & Analytics
Salary
N/A
Job Commitment
Full-time
Experience Level
Entry Level
Workplace Type
Remote
Job Function

This job is closed

We regret to inform you that the job you were interested in has now been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.

About the position

This role is for a Data Scientist on the Market Intelligence team, where you will conduct research through data mining and statistical modeling to discover insights from big data that are used by investment professionals to make investment decisions. You will manage all aspects of the research and analysis process, deliver research findings to internal clients, and work within a team to help drive technical innovation. The ideal candidate should have excellent attention to detail, organization, and project management skills, strong communication skills, and the ability to collaborate and build relationships across business units within the Firm.

Responsibilities

  • Conduct research through data mining and statistical modeling to discover insights from big data
  • Feature and model 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
  • Stay current on the evolving alternative data market and its role in discretionary investing
  • Speak with experts both inside and outside the Firm to understand data needs and offerings
  • Multi-task and switch gears frequently to address the needs of the business
  • Analytical thinking and ability to sift through large unstructured data sets
  • Work in a fast-paced, dynamic environment
  • Work as part of a cross-functional team made up of investment, research, and compliance professionals
  • Take an experiment-based approach with freedom to innovate
  • Have excellent attention to detail, organization, and project management skills
  • Have strong verbal and written communication skills
  • Have superb business intuition and a solution-orientated, methodological approach to problem-solving
  • Ability to collaborate and build relationships across business units within the Firm
  • Elevate the room through their work ethic, curiosity, and solution-orientated attitude.

Requirements

  • Demonstrated interest in machine learning, statistical models, and data mining tools
  • Bachelor/Masters in a quantitative discipline w/ 0-1 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
  • 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
  • Adherence to the highest ethical standards working closely with the Firm’s Compliance team

Benefits

Job Application Resources

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Point72

Point72 invests in multiple asset classes and strategies worldwide.
Location
Stamford, CT
Company Size
1,001-5,000
Workplace Type
Industries
Asset Management
Finance
Financial Services
Open Roles
7
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Point72

Point72 invests in multiple asset classes and strategies worldwide.
Company Overview

Point72 invests in multiple asset classes and strategies worldwide.

Benefits
  • Work alongside fellow interns and be mentored by experienced professionals
  • Meet 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 best-in-class tools and resources
  • Gain exposure to groups and functions with unique responsibilities and perspectives on the industry
  • Develop technical, writing, and presentation skills
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