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2,953 quant developer interview questions shared by candidates

Round 1: lots of technical questions. Start with mental math, EV of flipping coin, statistical significance and hypothesis testing, concept of supply and demand. Behaovrial question asks about past project. Take home assignment has multiple questions across portfolio management, game theory, probability, machine learning, etc. Very challenging, but only need to submit solutions to 2 questions. Round 2: start by discussing the solutions submitted. Ask follow-up questions. Then go through more technical questions, such as estimating compound interest payout, EV questions about coin/dice, market profitability, etc. Behavorial question on motivation for quant finance industry.
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Quant Intern

Interviewed at Quantedge

4.5★
Dec 9, 2022

Round 1: lots of technical questions. Start with mental math, EV of flipping coin, statistical significance and hypothesis testing, concept of supply and demand. Behaovrial question asks about past project. Take home assignment has multiple questions across portfolio management, game theory, probability, machine learning, etc. Very challenging, but only need to submit solutions to 2 questions. Round 2: start by discussing the solutions submitted. Ask follow-up questions. Then go through more technical questions, such as estimating compound interest payout, EV questions about coin/dice, market profitability, etc. Behavorial question on motivation for quant finance industry.

Tell me where your current firm is focused on expanding for new market opportunities over the next 6-12 months? Do you work with x team (a team that focuses on a very different asset class)? How much PNL have they made this year? How is x meta data derived, and how does it factor into the bigger modeling picture? What are the names of individuals that work on this strategy at your firm?
avatar

Quant

Interviewed at Jump Trading

4.2★
May 4, 2025

Tell me where your current firm is focused on expanding for new market opportunities over the next 6-12 months? Do you work with x team (a team that focuses on a very different asset class)? How much PNL have they made this year? How is x meta data derived, and how does it factor into the bigger modeling picture? What are the names of individuals that work on this strategy at your firm?

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