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Careers

Students

Atlas works with a small number of exceptional students each year, principally in quantitative research and engineering.

Backgrounds

Fields from which students typically join.

  • Mathematics and statistics

    Probability, inference, optimisation, time series.

  • Computer science

    Systems, data engineering, numerical computing, machine learning.

  • Physics and engineering

    Quantitative modelling and the habit of testing a model against the world.

  • Economics and finance

    With demonstrated quantitative depth and a taste for evidence.

What to expect

Placements are short, demanding and useful.

  • Real problems

    Students work on live research or engineering questions with a named owner, not on exercises.

  • Real feedback

    Work is reviewed to the same standard as anyone else's at the firm.

  • Real outcomes

    Strong performance during a placement is the principal route to a full-time role.

Introductions from faculty, alumni and students themselves are welcome at ir@atlas-capital.co.