Quantitative investment manager
Two Sigma interview guide
Research interviews are reported to centre on statistics, probability and machine learning, with a research case that tests judgement as much as technique.
How the process usually runs
- 1
Online assessment
Coding problems for most roles, sometimes alongside maths.
Practise: Algorithms lessons
- 2
Technical interviews
Statistics, probability, regression and machine learning, often asked through a dataset.
Practise: Statistics lessons
- 3
Research case and final round
An open-ended problem: define the target, choose the data, propose a model and say how you would know it works.
Practise: Research case lessons
What to revise
Weighted most heavily in reports: statistics, machine learning, research judgement. The topics below are where the 378 questions in the bank reported at Two Sigma come from.
Questions reported at Two Sigma
- You have 100 observations and a standard error of 0.4.Free solution
- Which statement about the central limit theorem is correct?Free solution
- A stock has 30% volatility, the index 15%, and their correlation is 0.6.Free solution
- A simple regression has a correlation of 0.6 between the two variables.Free solution
- You regress one stock’s price on another’s and get R² = 0.95 with a t-statistic of 40.Free solution
- A spread follows Δsₜ = −0.05 sₜ₋₁+εₜ on daily data.Free solution
- Can three assets be pairwise correlated at −0.5?Free solution
- What is the most negative pairwise correlation that five assets can all share?Free solution
- What is d(Wₜ²)?Free solution
- What is ∫₀ᵗWₛ dWₛ?Free solution
A summary of what candidates publicly report, not information from Two Sigma. Processes change by year, role and office. QuantMax is not affiliated with, endorsed by, or recruiting for Two Sigma.