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Bnp

Large Enterprises

BNP Paribas is a major French multinational banking and financial services company headquartered in Paris. It is one of the largest banks in Europe, offering retail banking, corporate and investment banking, asset management, and insurance services worldwide.

6 interview notes · updated Jul 2026

Bnp·Data Scientist·Technical Phone Screen

Jul 2026
BNP data scientist interview that leaned pretty heavily on probability and stochastic processes. The coin toss pattern question took up most of the session and went in two parts, theory first then specific computation.
  • Walk through a general method for computing the expected number of fair coin tosses needed before a given length-3 pattern appears as a consecutive run.
  • Compute the expected number of tosses for the pattern HHH, and separately for HTH.

“I went with the Markov chain approach, setting up states based on how much of the pattern you've already matched.”

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Bnp·Data Scientist·Technical Phone Screen

Jun 2026
BNP data scientist interview, technical round focused entirely on linear regression. Pretty deep dive into OLS assumptions, which I wasn't expecting to go that far on a first technical screen.
  • What are the key assumptions behind OLS linear regression, both for the model to be unbiased and for statistical inference to be valid?
  • How would you diagnose violations of OLS assumptions in practice?
  • If your OLS assumptions are violated, what are the typical ways to address that?

“I listed the usual suspects: linearity, independence, homoscedasticity, normality of errors, no perfect multicollinearity.”

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Bnp·Data Scientist·Onsite - Behavioral / Leadership

May 2026
Behavioral prep material for a Data Scientist role at BNP, covering the usual motivational and interpersonal questions you'd expect from a trading or quant-adjacent firm. Nothing technically wild, but the market awareness angle added a wrinkle I hadn't fully thought through before.
  • Why do you want to work at this firm, and why this specific role or team?
  • Where do you see your career going long term?
  • Tell me about a time you had a conflict with a manager or teammate and how you handled it.
  • Can you give examples of times you've shown teamwork and leadership?
  • How do you keep up with market news, and how would you talk through a recent market event if asked about it?

“I always find this one harder than it looks.”

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Bnp·Data Scientist·Technical Phone Screen

May 2026
BNP interview for a Data Scientist role that leaned pretty heavily into quant/options territory. Not what I was expecting going in, but the delta question was the centerpiece and they really pushed on all three layers of it.
  • In options trading, what is delta? Walk through the definition, the intuition for calls versus puts, how to derive it under Black-Scholes for European options, and how it's applied in hedging.

“This was basically a three-part question dressed up as one.”

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Bnp·Data Scientist·Technical Phone Screen

Apr 2026
BNP Data Scientist interview with a classic probability/logic puzzle that sounds deceptively simple but requires a real insight to crack. One round, one brain teaser, left me staring at the ceiling afterward.
  • You have N coins on a table, exactly H of which are heads-up, but you don't know which ones. Split them into two piles so that both piles contain the same number of heads-up coins. You can flip coins as needed. Describe a strategy that always works and explain why.

“I stared at this for an embarrassingly long time.”

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Bnp·Data Scientist·Technical Phone Screen

Apr 2026
BNP data scientist interview that leaned heavy on probability and statistics. The die-rolling problem showed up and it was more involved than I expected going in.
  • You roll a fair six-sided die n times independently. Derive a formula for the expected value of the maximum roll as a function of n.
  • Using the same setup, derive a formula for the expected value of the minimum roll across n independent rolls of a fair six-sided die.

“I knew the general approach using the CDF trick: E[max] = sum over k of P(max >= k), which you can rewrite using complements.”

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