Quantitative Analyst Summer Intern

Status
Intern at
Group/Division/Type
Quantitative Research
City
Tsim Sha Tsui
Interviewed
March 2026
Overall experience
Very Positive
Difficulty
Average

General Interview Information

Outcome
No Offer
Interview Source
Employee Referral
Length of Process
Less than 1 month

Interview Details

What did the interview consist of?
Phone Interview
1 on 1 Interview
Please describe the interview / hiring process.
Both interviewers are friendly, focusing on personal experience and high-level conceptual questions.

1st Round was with an Associate at the Quantitative Research Team,
We walk through my resume and dive deep into my project on option pricing and econometrics. Also, some questions of option theory, like the Black-Scholes Model, are asked, e.g. what is no-arbitrage, why we need to price an option, and how the Greeks move when something happens. Lastly, some basic concepts of Python are tested, the low-level concept of dictionary & set, mutable and immutable objects, shadowing, cloning, etc.

2nd Round was with a Commando (Quant Dev). We go through the programming experience with past interns. A couple of simple questions focusing on the operating system are following up, e.g. Concurrency vs Parallism, what is thread-safe and how to ensure thread-safety. How to deal with a large amount of HTTP requests for an real time system. Lastly, we also discuss some AI development trends in the front office for trading.
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Other Interview Data

Associate (Vice President)
Goldman Sachs, CHICAGO, 2016
Trader (Vice President)
HSBC, New York, 2022
Vp (Vice President)
Morgan Stanley, New York, 2021
Vp (Vice President)
Morgan Stanley, New York, 2021
Quantitative Strategist (Vice President)
Morgan Stanley, NA, 2020

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