Quantitative Researcher

MCG Asia; Hong Kong; On-site; HKD 1,000,000 - 2,000,000; Full time

Job summary

MCG Asia is seeking a Quantitative Researcher to join a collaborative, front-office research team in Hong Kong. You will generate and test new alpha ideas, build robust backtesting frameworks, and translate research into live, scalable trading strategies across global markets.

You will work closely with portfolio managers, traders, and quant developers to move promising research into production and monitor live strategies, leveraging large and complex datasets and cutting-edge analytics.

Qualifications

• Advanced degree (MSc or PhD) in a highly quantitative discipline.
• Strong programming skills in Python; familiarity with C++/Java or other high-performance languages is a plus.
• Solid foundation in statistics, probability, time-series analysis, optimisation, and machine learning.

Responsibilities

• Generate and test new alpha ideas across asset classes.
• Build robust backtesting frameworks and research tools.
• Collaborate with portfolio managers, traders, and quant developers to productionize research.

Skills

Python

C++/Java

Education

MSc or PhD in Mathematics/Statistics/CS/Physics/Engineering/Financial Engineering

Tools

Backtesting frameworks

Data analytics libraries

Job description

We are seeking a Quantitative Researcher to join a collaborative, front-office research team.

You will be responsible for generating and testing new alpha ideas, building robust backtesting frameworks, and working closely with portfolio managers and engineers to translate research into live, scalable trading strategies across global markets.

Key Responsibilities

• Conduct quantitative research to identify, develop, and validate new alpha signals and trading ideas across asset classes (e.g. equities, futures, macro, fixed income).
• Design, implement, and rigorously backtest systematic trading strategies using large and complex financial and alternative datasets.
• Build and improve research tools, analytics libraries, and backtesting infrastructure to increase research velocity and robustness.
• Evaluate strategy performance, capacity, turnover, transaction costs, and risk characteristics; perform attribution and stress testing.
• Collaborate with portfolio managers, traders, and quant developers to move promising research into production and monitor live strategies.

Requirements

• Advanced degree (MSc or PhD) in Mathematics, Statistics, Computer Science, Physics, Engineering, Financial Engineering, or another highly quantitative discipline from a top-tier university.
• Strong programming skills in Python; familiarity with C++/Java or other high-performance languages is a plus.
• Solid foundation in statistics, probability, time-series analysis, optimisation, and machine learning.
• Experience conducting quantitative research using financial data (pricing, fundamentals, order book, etc.); prior experience in a hedge fund, prop trading firm, asset manager, or investment bank is preferred but not mandatory for exceptional candidates.
• Excellent communication skills and the ability to work effectively in a fast-paced, collaborative environment.