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Quantitative Research & Development Intern

IO Tech Solutions Hong Kong
Mise en ligne il y a 2 jours Au Bureau Stage / Apprentissage Open Budget

Quantitative Research & Development Intern

IO Tech Solutions Hong Kong
Y
Mise en ligne par
Yukie Yeung
Recruiter

Job Description:

Quantitative Research & Development Intern- with full-time conversion opportunity

About Us

A Hong Kong quantitative research and technology firm, with a mission to combine deep market expertise with cutting-edge technology to build world-class systematic trading systems across global financial markets.

The Role

Seeking for exceptional undergraduate and graduate students from top universities to join my client's team as summer interns with full - time conversion opportunity . This is an opportunity to work alongside experienced quantitative analysts and developers on real-world challenges at the intersection of finance, technology, and machine learning.

As an intern, you will:

  1. Apply advanced quantitative methods to discover structural patterns in global financial markets
  2. Develop predictive market indicators and risk factors using machine learning techniques
  3. Work with large-scale datasets, leveraging tools from linear regression to recurrent neural networks
  4. Implement and backtest trading models and trading systems
  5. Drive innovative research, particularly in machine learning and unconventional data
  6. Collaborate with researchers and developers to build and refine systematic trading strategies
  7. Contribute to both research ideation and production-grade code implementation

Requirement

Academic Background:

  1. Undergraduate or graduate student in Computer Science, Mathematics & Statistics, Physics, Engineering, or other quantitative science disciplines
  2. Strong academic record with demonstrated analytical excellence

Technical Skills:

  1. Proficiency inPython orR (C++ is a plus)
  2. Excellent knowledge and training in statistical probability
  3. Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) is highly desirable
  4. Familiarity with data analysis libraries (NumPy, Pandas)
  5. Database programming experience (SQL, etc.)
  6. Experience in signal processing, computer image processing, or natural language processing is preferred
  7. Strong foundation in probability, statistics, linear algebra, and algorithms

Personal Attributes:

  1. Genuine passion for financial markets and quantitative trading
  2. Intellectual curiosity and excitement for applying modern machine learning to real-world problems
  3. Strong problem-solving and analytical thinking skills
  4. Ability to work both independently and collaboratively in a fast-paced environment

What Our Client Offers

  1. Hands-on experience working on real quantitative research and development projects
  2. Mentorship from experienced quantitative analysts, researchers, and developers
  3. Clear pathway to full-time employment — successful interns will be invited to join the firm permanently
  4. Generous stipend and housing assistance for eligible students
  5. Modern office environment in a growing fintech ecosystem
  6. Opportunity to work with world-class professionals from leading global financial institutions

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