Quantitative Researcher

Meridian and Saturn Capital; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

MS Capital is a private fund management company focused on strategy modelling, trading system and platform development, leveraging AI as a cornerstone to achieve stable returns. We are expanding the team and seeking candidates with strong backgrounds in programming, statistics modelling, and data analysis.

Ideal candidates have experience in quantitative research, internships or projects, and are proficient in Python or C++ or similar high-level languages.

Qualifications

• Bachelor’s degree or above in finance, mathematics / statistics, physics, computer science, engineering or related field
• Strong communication skills and learning ability.

Responsibilities

• Research and develop international market, secondary market trading and investment strategies
• Leverage programming and analytical tools to drive quantitative strategies through a data-driven approach with continuous iteration
• Extracting patterns from market microstructure, trading, fundamentals, events and other multivariate data to build diversified quantitative strategy models

Tools

Python

C++

Job description

MS Capital is a private fund management company with a strong founding team of long-accumulated experience in strategy modelling, trading system and platform development, adopting advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, to achieve sustained and stable returns. We are expending the team, searching for experienced candidates have strong background & skills in programing, statistics modelling, data analysis, etc.

Roles & Responsibilities

• Research and develop international market, secondary market trading and investment strategies
• Leverage programming and analytical tools to drive quantitative strategies through a data-driven approach with continuous iteration
• Extracting patterns from market microstructure, trading, fundamentals, events and other multivariate data to build diversified quantitative strategy models

Qualifications

• Bachelor's degree or above in finance, mathematics / statistics, physics, computer science, engineering or related field
• Familiar with Python / C++ or other high-level programing languages
• Strong communication skills and learning ability.
• Experience in quantitative research, through industry internships, academic, or personal projects.

Plus Points

• Experienced in using big data to predict and test statistical market models
• Experienced in AI / ML research for quantitative analysis
• Experienced in competitions such as Kaggle, ILSVRC, and other internationally recognised competitions including IMO, IOI, IPhO, etc.