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Marshall Wace

Buy-side · Systematic + discretionary hedge fund · London

A well-documented multi-stage process, two online assessments, a data-lab task, and a build-a-signal case study.

Difficulty: ●●●●●

Marshall Wace runs a large systematic platform (TOPS) alongside discretionary strategies. Its quant process is unusually well-documented on its own careers pages.

The differentiators are the Data Lab task and a case study where you construct a trading signal.

Roles they hire

Quant Researcher · Quant Analyst · Quant Developer

Interview processas publicly reported

  1. 1

    Two online assessments

    A 60-min Codility coding test and a 60-min technical exam (probability, statistics, regression, algebra/matrices/optimization).

  2. 2

    Human Capital screen

    Recruiter conversation.

  3. 3

    Lab Interview

    ~2 hrs: an independent ~60-min 'Data Lab' task (Excel/Python/R/MATLAB) plus a call with a Quant team member.

  4. 4

    Assessment Day + management

    A case study to construct a trading signal, then interviews with a group of managers.

What they test

Probability →Statistics →Coding →

Prep tips

  • ▸Practice a Codility-style timed coding test and brush up regression/statistics fundamentals.
  • ▸Rehearse building a predictive trading signal from a dataset (feature construction, model choice, validation).

India recruiting

London-centric (offices in London, NY, Hong Kong, Shanghai, Singapore); no evidence of an India office or campus recruiting.

Sources

Interview processes change and vary by role, office, and year. This guide reflects publicly reported experiences and is not affiliated with Marshall Wace.

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