Senior Quantitative Researcher

meridian & saturn capital pte. ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

MS Capital, a private fund management company, is expanding its team and seeks experienced candidates with strong programming, statistics, and data analysis backgrounds. The role focuses on developing strategies for international and secondary markets using quantitative methods.

You will apply Python and/or C++ to build research pipelines, backtesting systems, or live trading infrastructure, and work to extract patterns from diverse data to fuel robust models and continuous improvement.

Qualifications

• Bachelor's degree or above in finance, math/stats, physics, CS, 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.
• Proven track record of developing, validating, and deploying quantitative models in live trading.
• Deep understanding of statistical methods, time-series analysis, and financial data structures.

Responsibilities

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

Skills

Python

C++

Quantitative research

Time-series analysis

Data pipelines

Education

Bachelor's degree or higher

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
• 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