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Point72 Quantitative Research Intern

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Point72

Sep 26, 2023

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Research & Development
  • $120K - $180K
  • New York

Requirements

  • Masters or PhD candidates in finance, computer science, mathematics, operations research, physics, or other quantitative discipline
  • Strong analytical and quantitative skills. Detail-oriented
  • Proficient in Python, R, or C++
  • Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative team-oriented research environment
  • Demonstrated interest in financial markets and systematic strategies
  • Willing to take ownership of his/her work, working both independently and within a small team

Responsibilities

  • Successful candidates will provide research and development assistance to team leads for various aspects of the portfolio management process. Specific responsibilities will include a subset of the following:
  • Analyze large data sets to identify features and relationships to develop predictive return signals
  • Research and develop alternative portfolio construction methods and tools that can enhance portfolio returns
  • Develop performance and attribution analytics that explain sources of risks and returns in managed portfolios
  • Evaluate alpha decay characteristics and their impact on optimal execution strategies
  • Contribute to the development of robust and efficient research and production platforms

FAQs

What is the main focus of the Point72 Quantitative Research Intern role?

The main focus of the Point72 Quantitative Research Intern role is to support the internal alpha capture (IAC) team in developing and implementing scalable long/short equity investment strategies by utilizing insights from discretionary portfolio managers and analysts.

What type of investment strategies will the intern be working with?

The intern will be working with scalable long/short equity investment strategies.

What skills or techniques will the intern be expected to learn or apply in this role?

The intern will be expected to learn and apply sophisticated risk management, portfolio construction, and execution techniques.

Who will the intern collaborate with in this position?

The intern will collaborate with discretionary portfolio managers and analysts, gaining insights that will inform the development of investment strategies.

Is the internship focused on quantitative analysis, qualitative insights, or both?

The internship is focused on both quantitative analysis and qualitative insights, as it leverages insights from discretionary portfolio managers and analysts while also developing quantitative strategies.

What is the significance of the internal alpha capture (IAC) team at Point72?

The IAC team plays a significant role in enhancing investment strategies by capturing and integrating valuable insights from portfolio managers and analysts to improve performance and risk management.

What type of work environment can interns expect at Point72?

Interns can expect a collaborative and innovative work environment that encourages learning and application of advanced investment strategies and techniques in finance.

Will the internship provide exposure to both risk management and portfolio construction?

Yes, the internship will provide exposure to both risk management and portfolio construction, as these are key components of the investment strategies being developed and implemented by the IAC team.

Finance
Industry
1001-5000
Employees
2014
Founded Year

Mission & Purpose

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking.