GSA Capital Interview Questions
A systematic stat-arb practice mix: regression and regularization, statistical inference and signal validation, time-series modeling, ML, and stochastic processes.
Inside the GSA Capital interview
GSA Capital is a London-based systematic quantitative hedge fund that trades a diversified book of statistical-arbitrage and managed-futures strategies. Its interviews for Quant Researcher and Quant Developer roles lean hard on statistical inference, regression and regularization, time-series modeling, and the discipline of telling real signal from noise.
What they test
The core is statistical inference and regression: deriving the OLS estimator, reasoning about omitted-variable bias and errors-in-variables, and choosing between ridge and lasso when predictors are collinear or outnumber observations. Around it sits a time-series block (GARCH volatility, cointegration, Kalman filtering, Yule-Walker/PACF) and a signal-validation block (multiple-testing fallacies, cross-validation leakage, Sharpe-ratio evaluation).
The recurring shapes
Many questions probe the same instinct: a fitted number looks impressive, so why might it be spurious? Expect the German-tank estimator, the n-1 variance correction, mean-reversion and stationarity tests, and Markov-chain steady states. The unifying skill is quantifying estimator bias and variance before trusting a backtest.
How to approach
State your modeling assumptions out loud, then check what breaks them — heteroskedasticity, autocorrelation, look-ahead, p-hacking. Reach for regularization and out-of-sample discipline rather than chasing in-sample fit, and be ready to defend a Sharpe ratio against the multiplicity of strategies you tried.
The mix runs mostly medium with a handful of easy warm-ups and genuinely hard time-series and inference problems.
GSA Capital statistics questions (6)
GSA Capital regression questions (6)
GSA Capital time series questions (5)
GSA Capital machine learning questions (4)
GSA Capital stochastic processes questions (3)
GSA Capital coding questions (1)
GSA Capital expected value questions (1)
GSA Capital interview FAQ
What kind of questions does GSA Capital ask in quant interviews?
Candidates most often report statistics, regression and time series questions. This page collects 26 of them, 2 stamped with the month they were last reported — each with a full worked solution.
How hard are GSA Capital interview questions?
The set spans 4 easy, 18 medium and 4 hard problems. Most sit at medium difficulty — solvable in a few minutes with clean reasoning — with a harder tail that rewards knowing the canonical tricks.
How do I prepare for the GSA Capital quant interview?
Work through this set by topic (use the sidebar), starting from your weakest area. 2 problems are free to open with their full solution, so you can judge the quality before anything else. Then broaden out with the related firms below — the question families overlap heavily.
Are these the actual GSA Capital interview questions?
They are built from candidate-reported GSA Capital questions. We rewrite each prompt for clarity and author the worked solutions ourselves — we don't claim the wording is verbatim, and we never invent questions or recycle generic lists. 2 of 26 carry the month they were last reported.