full-time
Quantitative Developer
Tardis Group
- Employer
- Tardis Group
- Location
- Singapore
- Working pattern
- on-site
About the role
Collaborate with quantitative researchers to improve trading strategies and research workflows, and develop Python tools for research and analysis. Enhance simulation and backtesting frameworks, maintain research workflows and jobs, and support global research teams, particularly in APAC. A bachelor’s degree in Computer Science, Engineering, or a related field is required, along with strong Python development experience and proficiency in data and statistical libraries such as NumPy, Pandas, or Polars. The role also requires strong problem-solving, communication, and collaboration skills; C++, Bash, workflow orchestration, and financial markets knowledge are desirable but not essential.