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Man Group

Manages investments across public and private markets

Quantitative Researcher - Cash Equities

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Ability to think creatively and develop and implement original research and ideas.
  • Exceptional analytical skills and recognized expertise in a domain.
  • Deep understanding of statistics and machine learning, with the ability to apply them to real-world problems.
  • Expertise in a high-level programming language such as Python or R.
  • PhD or exceptional Master's or Bachelor's qualification in a quantitative subject.
  • Intellectual integrity and an analytical approach to problem solving.
  • Ability to deliver projects with high commercial value.
  • Hands-on attitude and willingness to engage with technology and projects across the firm.
  • Ability to organize work and manage time across multiple projects and competing business demands and priorities.
  • Ability to establish and maintain working relationships with quantitative researchers, technologists, traders, and senior business people.
  • Ability to communicate confidently, argue a point concisely, and handle conflicting views positively.

Responsibilities

  • Create high-quality intraday predictive alpha signals in cash equities using order book and alternative datasets.
  • Apply machine learning techniques to alpha research.
  • Perform in-depth market impact modeling.
  • Solve optimal execution optimization problems.
  • Identify opportunities with the highest profit and loss potential.
  • Collaborate closely with researchers across the firm.

Desired Qualifications

  • Knowledge of market structure, participants, trading venues, and microstructure of at least one major asset class.
  • Experience in intraday alpha research.
  • Experience building machine learning models.
  • Experience handling large datasets and tick data.

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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