Quantitative Researcher

MS Capital is a private fund management company with a strong founding team with long-accumulated experience in strategy modelling, trading system and platform development. Using advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, the company's investment fund has gained sustained and stable returns.
You will be joining MS Capital's technology arm, with AL/ML as its cornerstone, and is committed to providing users with high-quality and stable trading services. The company now has a number of experienced quantitative researchers, world-class deep learning scientists and engineers from leading internet companies and top universities. The company has also provided various kinds of trading solutions for a number of leading brokerage firms and organizations. The company's vision is to integrate artificial intelligence technology with quantitative investment scenarios, relying on strong artificial intelligence R&D capabilities and advanced trading strategy models, to provide users with comprehensive and stable investment service.
We also welcome students to start as internship role, for those have strong foundation and related research/academic experience in data analysis, modelling, programing.
Roles & Responsibilities:Research and develop international market, secondary market trading and investment strategiesAnalyse historical market data, extract patterns from market microstructure, trading, fundamentals, events and other multivariate data to build diversified quantitative strategy modelsLeverage programming and analytical tools to drive quantitative strategies through a data-driven approach with continuous iterationApply AI / ML models to optimize the functionality and performance of quantitative research platforms.
Qualifications:Educational background in Finance, Mathematics, Physics, Computer Science, Engineering, or related fields with a Bachelor's degree or higher.Strong understanding of statistical principles and their application to financial data analysis.Proficient in Python / C++ or other mainstream programming languages with solid programming skills.Experience in quantitative analysis for handling large size model, through industry, academic, or other projects