Quant Research Intern: Machine Learning in Markets

ittihad medical centre

Hong Kong

On-site

HKD 112,000 - 167,000

Part time

14 days+
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Job summary

IMC is a leading quantitative trading firm where you will join as a Quantitative Research Intern, working at the intersection of data science, finance, and algorithmic trading. You’ll participate in an intensive training program and tackle meaningful research challenges designed to design new models, optimise strategies, or leverage alternative data.

You will explore large financial datasets, develop quantitative models, and present findings to technical and non-technical audiences, gaining

Qualifications

  • Enrolled in a bachelor’s, master’s, or PhD program with a quantitative focus.
  • Penultimate year of study or equivalent progression.
  • Strong analytical and problem-solving abilities with mathematical/statistical skills.
  • Programming proficiency in Python, or other languages such as C++, Java, MATLAB, or R.

Responsibilities

  • Participate in an intensive training program covering trading concepts, theory, statistical modelling, and machine learning techniques.
  • Tackle research challenges by designing predictive models, optimizing strategies, or using alternative data.
  • Explore large datasets, identify patterns, and develop quantitative models to inform trading decisions.
  • Collaborate with traders, researchers, and engineers in a fast-paced environment.
  • Present findings through reports and presentations to both technical and non-technical audiences.

Skills

Quantitative field of study
Penultimate year of study
Strong analytical skills
Programming: Python
Other languages: C++, Java, MATLAB, R

Education

Bachelor's / Master's / PhD in a quantitative field

Tools

Python
C++/Java/MATLAB/R

Job description

IMC is a leading quantitative trading firm where you will join as a Quantitative Research Intern, working at the intersection of data science, finance, and algorithmic trading. You’ll participate in an intensive training program and tackle meaningful research challenges designed to design new models, optimise strategies, or leverage alternative data.

You will explore large financial datasets, develop quantitative models, and present findings to technical and non-technical audiences, gaining

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