Quantitative Researcher

MS Capital Singapore; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading fund management company in Singapore seeks interns for its technology arm focusing on AI/ML. Candidates will engage in research and development of trading strategies, data analysis, and the application of advanced programming skills. This internship offers a unique opportunity to work with top experts in the field and gain hands-on experience in quantitative investment strategies.

Qualifications

• Bachelor's degree or higher in relevant fields.
• Strong understanding of statistical principles.
• Proficient in programming languages like Python or C++.

Responsibilities

• Research and develop trading strategies for international markets.
• Analyze historical market data to build quantitative models.
• Utilize programming tools to implement data-driven strategies.

Skills

Statistical principles

Data analysis

Programming

Education

Bachelor's degree in Finance, Mathematics, Physics, Computer Science, Engineering

Tools

Python

C++

Job description

MS Capital is a private fund management company with a strong founding team experienced in strategy modelling, trading systems, and platform development. Using advanced artificial intelligence technology and strict investment management, the company's investment fund has achieved sustained and stable returns.

You will join MS Capital's technology arm, focusing on AI/ML, committed to providing high-quality and stable trading services. The team includes experienced quantitative researchers, world-class deep learning scientists, and engineers from leading internet companies and top universities. The company has also developed various trading solutions for major brokerage firms and organizations. Its vision is to integrate AI technology with quantitative investment strategies, leveraging strong R&D capabilities and advanced trading models to offer comprehensive investment services.

We welcome students for internship roles, especially those with a strong foundation and research or academic experience in data analysis, modelling, and programming.

Roles & Responsibilities

1. Research and develop trading and investment strategies for international and secondary markets.
2. Analyze historical market data, extract patterns from microstructure, trading, fundamentals, events, and other multivariate data to build diversified quantitative models.
3. Utilize programming and analytical tools to implement data-driven quantitative strategies with continuous iteration.
4. Apply AI/ML models to optimize the performance of research platforms.

Qualifications

• Bachelor's degree or higher in Finance, Mathematics, Physics, Computer Science, Engineering, or related fields.
• Strong understanding of statistical principles and their application to financial data analysis.
• Proficiency in Python, C++, or other mainstream programming languages with solid coding skills.
• Experience in quantitative analysis involving large models through industry, academic, or other projects.