Marshall Wace Internship Programmes

Quant Developer Intern - Hong Kong 2027

Marshall Wace Internship Programmes · Hong Kong

Posted today

or apply directly on Marshall Wace Internship Programmes 's site. We never take the application ourselves.

Is this posting real?

This role has been open
0 days
Marshall Wace Internship Programmes 's roles stay open a median of 62 days
Reposted
No
Salary listed
No
0% of Marshall Wace Internship Programmes 's roles list one
Ghost-job risk at Marshall Wace Internship Programmes
high
5 stale, 0 reposted of 8 open
Hiring momentum
9 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Marshall Wace Internship Programmes 's own greenhouse board since 2026-08-03. Full hiring picture for Marshall Wace Internship Programmes .

About this role

As a Quant Developer Intern at Marshall Wace, you will work within the Quant Implementation team to connect quantitative research to live trading. Your responsibilities will include analyzing market data, validating models, and contributing code to support systematic strategies. This role emphasizes the application of quantitative problem-solving and software engineering in a collaborative environment focused on systematic investing.

Our read on this posting2.8out of 5
benefits
1/5
freshness
5/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Marshall Wace Internship Programmes as an employer.

What you need

  • Currently studying toward a master’s or PhD in a quantitative subject such as computer science, mathematics, statistics, physics, engineering or a related discipline
  • Strong analytical and problem-solving skills, with an interest in applying them to financial markets
  • Programming experience in Python, MATLAB, C++, Java or a similar language
  • A solid foundation in probability, statistics, linear algebra or numerical methods
  • Curiosity about systematic investing and a desire to understand why a strategy works
  • Clear communication skills and the ability to work collaboratively across research and technology teams

Nice to have

  • Prior finance experience is helpful but not required

Worth weighing

  • Internship combines quantitative research and software engineering, which may be challenging for those seeking a pure software role
  • No specific salary or compensation details provided
  • Focus on practical decision-making in live portfolios may require adaptability to fast-paced environments

Summarised from Marshall Wace Internship Programmes 's posting. Read the full original.

Listed by Marshall Wace Internship Programmes on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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