Quantitative Developer - Python
bloqfish
·- Location
- Hong Kong
- Workplace
- Remote
- Type
- Full-time
- Department
- IT
- Experience
- 2+ years
- Source
- RecruiterFlow
Description
Quantitative Developer – Python & C++
Hong Kong
High-frequency Equities Trading
Excellent compensation package
Are you a Quant Developer eager to work with cutting-edge tech and building something from scratch? We have an exciting opportunity to play a pivotal role in building out the infrastructure for a new trading strategy by joining a new team within a sophisticated quantitative trading entity. Here, you’ll be part of a collaborative and innovative team that truly values technological excellence. The firm excels in quant-driven trading across diverse, liquid global markets, fueled by intensive quantitative research to uncover market opportunities and extensive use of comprehensive data resources.
The Quantitative Developer will be instrumental in a new team focusing on HFT in equities. You’ll be responsible for the design, implementation, and optimization of the research and production pipeline for this new portfolio. If you thrive in a dynamic, fast-paced work environment and take ownership of your work, we want to hear from you.
- Design, implement, and maintain the critical research and production pipeline, covering data processing, model building, back-testing, and live monitoring toolkits
- Drive performance optimization across both research and production environments
- Actively troubleshoot and resolve production issues, ensuring smooth operations
- Work with a new team, contributing to its growth and success in mid-frequency equity trading.
- A Bachelor’s degree or higher in computer science or another technical/quantitative discipline
- A minimum of 2 years of professional programming experience within a quantitative trading team
- Advanced proficiency in Python and its ecosystem is essential
- Experience with C++ for systems plug-ins.
- Experience in software architecture and engineering
- Experience with distributed computing
- It would be beneficial to have strong quantitative skills and knowledge in statistics and linear algebra.