Apply advanced data science techniques to drive investment strategies at Point72, a premier hedge fund. Join our Proprietary Research team to build predictive models and analyze alternative data sources.

Role Overview

As a Data Scientist on the Proprietary Research team, you will leverage advanced quantitative techniques to extract insights from complex datasets, driving investment decisions for one of the world's leading hedge funds. You'll work at the intersection of data science and finance, building predictive models and analytical systems that give Point72 a competitive edge.

Key Responsibilities

• Develop and implement machine learning models to analyze alternative data sources
• Collaborate with portfolio managers and analysts to identify alpha-generating opportunities
• Build scalable data pipelines and infrastructure for research automation
• Conduct statistical analyses to validate trading strategies
• Present findings and model results to investment professionals
• Stay current with emerging data science methodologies and technologies

Technical Environment

• Python, R, SQL
• Cloud platforms (AWS/GCP)
• Distributed computing frameworks (Spark, Hadoop)
• Machine learning libraries (scikit-learn, TensorFlow, PyTorch)
• Data visualization tools (Tableau, Plotly)

Ideal Candidate

You are a data scientist with a passion for financial markets and a track record of turning data into actionable insights. You thrive in a fast-paced, results-oriented environment and bring both technical excellence and business acumen to every project.

• Education: Master's or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or related discipline
• Experience: 3+ years of applied data science experience, preferably in finance or algorithmic trading
• Technical Skills:
  • Proficiency in Python and SQL
  • Experience with machine learning frameworks (scikit-learn, TensorFlow, or PyTorch)
  • Strong understanding of statistical methods and experimental design
  • Familiarity with cloud computing platforms (AWS, GCP, or Azure)
• Domain Knowledge: Understanding of financial markets and investment principles preferred
• Soft Skills: Excellent communication, problem-solving, and collaboration abilities
• Other: Ability to work in a fast-paced, dynamic environment with attention to detail

• Competitive compensation package
• Comprehensive health, dental, and vision insurance
• Retirement savings plan with company match
• Generous paid time off and holidays
• Professional development opportunities
• Collaborative and innovative work environment
• On-site gym and wellness programs