full-time
Commodities Quant Researcher
Tardis Group
- Employer
- Tardis Group
- Location
- Hong Kong
- Working pattern
- on-site
About the role
Research, design, backtest, and implement systematic trading strategies, using advanced statistical methods to analyze large datasets and identify trading opportunities. Develop knowledge of global exchange and commodity market structures, and monitor data, processes, and strategy performance during trading hours while collaborating across regions. Requires a strong quantitative background in a relevant field, such as mathematics, statistics, econometrics, financial engineering, operations research, computer science, or physics. Candidates must be proficient in at least one major programming language, have a proven record of developing and implementing systematic strategies, and demonstrate strong communication, cross-region collaboration, and the ability to work under pressure.