Quant Researcher Internship

Millennium Management

Millennium Management

London, UK
Posted 6+ months ago
Quant Researcher Internship

Quant Researcher Internship Programme

Who We Are

Millennium Management is a global investment management firm founded in 1989 that manages more than $57 billion in assets as of February 1, 2023. Millennium has more than 5,100 employees with offices in the United States, Europe and Asia.

Over the last 30+ years, our mission has remained constant: to deliver the alternative investment industry’s highest quality returns to our investors, and to maintain a commitment to our principles of integrity, discipline and excellence.

Job Responsibilities

  • Explore and analyze a vast array of datasets, including both market data from asset trading and alternative data from other aspects of the economy using machine learning/statistical/applied math/econometric techniques
  • Apply statistical and machine learning techniques to test investment ideas
  • Collaborate with portfolio managers, quantitative researchers, and software engineers to deploy these investment ideas and make an impact on the team’s PnL.
  • Analyze financial data and develop predictive models to support decision making within the team
  • Implement and develop machine learning algorithms to be leveraged in the investment process
  • Collaborate with the team to identify opportunities for process improvement and innovation
  • Build broad set of research tools for systematic portfolio managers ranging from data acquisition/normalization libraries to backtesters and portfolio optimizers

Qualifications, Skills and Requirements

  • Pursuing a master’s degree in a technical or quantitative discipline; such as Financial Engineering, Quantitative and Computational Finance, statistics, mathematics, physics, or computer science graduating in 2024
  • Demonstrated proficiency in at least C++ or Python
  • Experience performing an in-depth research project examining real-world data

Preferred Experience

  • Independent thinker who can creatively approach data analysis and communicate complex observations in a simple and intuitive manner
  • A background in finance is not necessary. We can teach the financial aspects of the job if you display the necessary quantitative skills