Hedge fund
Point72 and Cubist interview guide
Quant research interviews are reported to focus on statistics, regression and machine learning, with a case built around data.
Quant researcherData scientist
How the process usually runs
- 1
- 2
Technical interviews
Regression, time series and machine learning, including how models fail.
Practise: Regression lessons
- 3
What to revise
Weighted most heavily in reports: statistics, regression and time series, research cases. The topics below are where the 40 questions in the bank reported at Point72 and Cubist come from.
Questions reported at Point72 and Cubist
- A spread follows Δsₜ = −0.05 sₜ₋₁+εₜ on daily data.Free solution
- Why is ordinary shuffled k-fold cross-validation wrong on a financial time series?Free solution
- What does embargoing do that purging does not?Free solution
- A signal has an information coefficient of 0.05 and you make 400 independent bets a year.Free solution
- You are asked to "predict demand" for a bike-share operator. What do you say first?Free solution
- A backtest computes pnl = signal * returns, where both are indexed by day. What is wrong?Free solution
- US payrolls come in far stronger than expected, with no change in inflation data.Foundation
- You pitch a long at $50 with a target of $60 and a stop at $45.Foundation
- You risk 1% of a $1,000,000 account on each idea.Foundation
- You pitch a long position because a company looks cheap on earnings.Applied
A summary of what candidates publicly report, not information from Point72 and Cubist. Processes change by year, role and office. QuantMax is not affiliated with, endorsed by, or recruiting for Point72 and Cubist.