Senior Quantitative Researcher

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

3+ years of experience in quantitative research, systematic trading, or related domains

Strong proficiency in Python and/or C++ with production-level coding experience (e.g., building research pipelines, backtesting systems, or live trading infrastructure)

Proven track record of developing, validating, and deploying quantitative models in live trading environments

Deep understanding of statistical methods, time-series analysis, and financial data structures

Plus Points

Extensive experience working with large-scale datasets and building robust statistical or machine learning-driven market models

Hands-on experience applying AI/ML techniques (e.g., deep learning, reinforcement learning, LLMs) to alpha generation or portfolio optimization

Experience in designing and optimizing low-latency or high-performance systems for research or trading

Prior experience in top-tier quantitative firms, hedge funds, or leading tech companies

Interested applicants please apply directly here or send your resume to [Confidential Information]