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Man Group

Manages investments across public and private markets

Quant Researcher

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeSofia, BulgariaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree or higher in Computer Science, Statistics, Mathematics, Finance, Economics, or a related quantitative field is required.
  • Excellent quantitative skills grounded in econometrics or statistics, with extensive experience applying those skills in empirical research.
  • Strong programming skills and comfort analyzing large, complex datasets with statistical tools.
  • Ability to communicate complex ideas clearly and work effectively with the team.

Responsibilities

  • Identify new investment ideas or innovative data sources.
  • Source, gather, and refine complex data for modeling.
  • Code and perform statistical and machine learning analysis to build, test, and refine predictive models.
  • Interpret, present, and implement research results.
  • Conduct research on strategy implementation, including trading cost models, risk models, optimization, and portfolio construction.
  • Collaborate with adjacent research teams, including fixed income and macro, to share techniques, data, and insights.

Desired Qualifications

  • Prior experience in the investment field, or applying complex data modeling, machine learning, or large language model/artificial intelligence techniques.

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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