Quantitative Developer (Python) - High Frequency Trading Firm
Title:
Company Overview:
Role Overview:
Key Responsibilities:
- Partner closely with quantitative researchers to iterate on research workflows and improve strategy performance
- Design and develop Python-based tools used in quantitative research and trading strategy development
- Enhance and maintain simulation and backtesting frameworks
- Monitor, support, and maintain large-scale quantitative research jobs
- Contribute to research efforts related to APAC markets in collaboration with global teams
- Improve reliability, scalability, and efficiency of existing research infrastructure
Key Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related discipline (Master's preferred)
- Strong proficiency in Python with hands-on experience using numerical and data libraries (e.g. NumPy, Pandas, Polars)
- Minimum 2 years of professional Python development experience
- Solid problem-solving skills with strong attention to detail
- Ability to work effectively in a fast-paced, collaborative, and distributed environment
- Clear communication skills and a strong team-oriented mindset
Why Join:
- Opportunity to work at the intersection of quantitative research and high-performance engineering
- Direct impact on live trading strategies and research outcomes
- Collaborative, low-ego culture with highly technical peers
- Strong investment in technology, tooling, and professional development
- Competitive compensation and comprehensive benefits package
FAQs
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