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Quantitative Research & Development Intern IO TECH SOLUTIONS LIMITED | Career Page

Quantitative Research & Development Intern

Job Description

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

About Us

A Hong Kong SFC-licensed (Type 4 & 9) 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

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

Requirement

Academic Background

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

Technical Skills

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

Personal Attributes

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

What Our Client Offers

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

Required Skills

Environment FinTech Analysts Data Analytical Thinking Development PyTorch Scikit-Learn Deep Learning Trading Pandas TensorFlow Physics Analysis Algorithms NumPy Statistics Developers R Mathematics Machine Learning C Data Analysis Research Finance Engineering Science Python

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