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Man Group

Manages investments across public and private markets

Systematic Fast Trading Intern

Quantitative ResearchConfirmed live in the last 24 hours
Internship · Summer 2026New York, NY, USA

About the Job

Requirements

  • Candidates must be PhD students in highly technical degree programs and have strong academic achievement.
  • Candidates must be penultimate-year students and submit one application using their university email address.
  • Candidates must provide a resume listing all completed and in-progress post-secondary education GPAs; transcripts may be submitted optionally.
  • For the MLE role, candidates should have coding experience in a variety of languages, especially Python, and knowledge of machine learning algorithms and research processes.
  • For the QR role, candidates must be strong programmers in a variety of languages, especially Python.

Responsibilities

  • The Fast Trading Strategies team develops high-Sharpe, high-frequency trading strategies across asset classes and manages a portfolio across global futures and cash markets.
  • The team develops the fast-alpha portfolio end to end using machine learning, event-driven, and market-microstructure techniques, builds a customized monetization stack, and optimizes trading and order placement with dedicated high-frequency infrastructure.
  • MLE interns work on software focused on machine learning applications, including MLOps and research workflows, and use the software they develop.
  • QR interns use high-frequency tick data and machine-learning algorithms to predict asset returns and convert models into profitable trading strategies.
  • QR interns work closely with MLOps to deploy models.

Desired Qualifications

  • Previous machine-learning or statistical research internship experience in finance, technology, or academia is strongly preferred.

About the Company

Man Group

Manages investments across public and private markets

Man Group manages investments for institutions, financial advisers and individual investors across public and private markets. Its Man AHL and Man Numeric businesses use computer models to select and trade investments, while other teams analyse companies and markets directly. Clients access strategies covering shares, credit and multiple asset classes through funds or tailored investment portfolios. The group earns management fees based on assets and performance fees when portfolios meet agreed return conditions, with systems supporting research, trading and risk oversight. The business traces its roots to a sugar brokerage founded in 1783 in the City of London.

Company size
1,001-5,000
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1783

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