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Barclays

Sell-side · Investment bank, Quantitative Analytics · London

Whiteboard a derivation, not just trivia, probability, stochastic calculus, options pricing, and coding, with an advanced degree common.

Difficulty: ●●●●●Recruits in India

Barclays' Quantitative Analytics (QA) is its branded central quant group, covering derivatives pricing, model validation, and risk (XVA, market/credit).

Expect to whiteboard problems and explain modeling choices; an MS/PhD is commonly expected.

Roles they hire

Quantitative Analytics · Model Validation · Risk Quant · Quant Developer

Interview processas publicly reported

  1. 1

    Online assessment

    Aptitude plus a coding challenge (Python/C++).

  2. 2

    Technical phone screen

    Probability, statistics, options pricing, quant methods (Black-Scholes, PCA, multicollinearity, Bayes).

  3. 3

    Superday

    Multiple technicals, probability theory, stochastic calculus, options pricing, coding, brainteasers; whiteboard problem-solving expected.

  4. 4

    Behavioral

    A quant-project deep-dive and working under deadlines.

What they test

Probability →Statistics →Coding →Brainteasers →

Prep tips

  • ▸Be ready to whiteboard a derivation and explain modeling choices, not just answer trivia.
  • ▸Review PCA, Bayes, and Black-Scholes alongside probability/statistics.

India recruiting

Large Global Service/Technology Centres in India (notably Pune and Mumbai; also Chennai), with quant and model-risk roles.

Sources

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

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