J.P. Morgan Interview Real Interview Experience: VO Process, Test Points and Pitfalls

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J.P. Morgan Chase Group has long been in the first echelon of the global financial market. It is recognized as the top level in terms of capital strength and business depth. Its asset management business covers a very wide range, from individual investors to large institutions, sovereign wealth funds, and pension funds. The customer structure itself determines its extremely high requirements for professional capabilities and risk control standards. Because of this,J.P. Morgan 的招聘流程一直被认为门槛不低,尤其是在面试环节,对候选人的综合能力考察非常细。

With the support of our resume packaging, real-time interview assistance, and proxy interview services, our customers successfully landed on JPM! Below is a screenshot of the offer.

J.P.Morgan Interview - J.P.Morgan Interview - J.P.Morgan Generation Interview - VO Aid
J.P.Morgan Interview - J.P.Morgan Interview - J.P.Morgan Generation Interview - VO Aid

Let's take a look at the actual interview questions.

J.P. Morgan System design:

Designed a university course enrollment system, the requirements given at the beginning were very simple, 1 school, multiple teachers, multiple students. I took a test on data schema design, wrote query, high level design graph, how to modify if high concurrency, low level how to break down.

J.P.Morgan Coding

  1. Group Anagrams (LC49), follow up: how to optimize the algorithm if each word is very long
  2. Max product of 2 element in an array. Similar to LC1464, note the negative number

J.P. Morgan BQ.

  1. Difficult person
  2. initiative you drive
  3. Your super power/strength
  4. your growth area

Learn more

如果你正在准备 J.P. Morgan 相关岗位的面试,或者希望在 VO 环节有更清晰的应对思路,欢迎联系我们查看详细服务方案。涵盖简历优化、Interview assistance, algorithm special coaching and other directions, suitable for candidates at different stages.

Reference

JP Morgan Interviews | Acreage

JP Morgan Interview | Glassdoor

author avatar
Jack Xu MLE | Microsoft Artificial Intelligence Technician
Ph.D. From Princeton University. He lives overseas and has worked in many major companies such as Google and Apple. The deep learning NLP direction has multiple SCI papers, and the machine learning direction has a Github Thousand Star⭐️ project.
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