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Qube Research & Technologies

Buy-side · Systematic / quant hedge fund (tech-driven) · London

An applied-ML take-home project is the main filter, clean, well-reasoned analysis matters more than exotic models.

Difficulty: ●●●●●Recruits in India

QRT is a fast-growing global systematic firm. Its research process centers on an applied ML take-home rather than pure brainteasers, followed by a discussion of your approach and results.

For experienced-hire QR, some candidates report no brainteasers or LeetCode drills, the focus is your own systematic work.

Roles they hire

Quant Researcher · Quant Developer · Quant Technologist

Interview processas publicly reported

  1. 1

    Online assessment

    Research: pandas-based questions plus a LeetCode-style problem. Developer: ~2 LeetCode easy/medium.

  2. 2

    First interview

    Behavioral + technical (Python; for research, ML theory such as random forests and linear regression).

  3. 3

    Take-home ML project

    Reported ~2 weeks, applying skills to a real-world problem, then a remote interview discussing it.

  4. 4

    Onsite

    Deeper technical questions and discussion.

What they test

Statistics →Coding →Probability →

Prep tips

  • ▸Sharpen pandas/data-wrangling and be ready to explain ML model choices (bias-variance, feature selection).
  • ▸Treat the take-home project as the main filter, clean analysis and a clear write-up beat exotic models.

India recruiting

Registered India entity/office in Mumbai, with reported in-principle IFSCA approval to set up in GIFT City; recruits at the IITs (e.g., IIT Kharagpur) for Quant Researcher and Quant Technologist internships.

Sources

Interview processes change and vary by role, office, and year. This guide reflects publicly reported experiences and is not affiliated with Qube Research & Technologies.

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