Senior Quantitative Researcher: AI-Driven Trading

MS Capital Singapore; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

MS Capital Singapore is a private fund management company leveraging AI/ML to deliver high-quality and stable trading services. The technology arm seeks junior to senior quantitative researchers and interns with strong data science, modelling and programming foundations.

We welcome applications from candidates with hands-on experience in quantitative research, finance and big data, eager to advance state-of-the-art trading strategies using Python and C++.

Qualifications

• Bachelor's degree or above in finance, mathematics, computer science, engineering or related field.
• Proficient in Python or C++ or other high-level programming languages.
• 3+ years of experience in financial market quantitative research in hedge fund or similar.
• Experience with big data to predict and test statistical market models.
• Experience in AI/ML research for quantitative analysis.
• Competitions experience (Kaggle, ILSVRC, IMO/IOI/IPhO) is valued.

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.
• Extract patterns from market microstructure, trading, fundamentals, events and other multivariate data to build diversified quantitative strategy models.

Skills

Python

C++

Strong communication

Learning ability

Education

Bachelor's degree or above in finance, mathematics, computer science, engineering or related field

Job description

MS Capital Singapore is a private fund management company leveraging AI/ML to deliver high-quality and stable trading services. The technology arm seeks junior to senior quantitative researchers and interns with strong data science, modelling and programming foundations.

We welcome applications from candidates with hands-on experience in quantitative research, finance and big data, eager to advance state-of-the-art trading strategies using Python and C++.