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Explore Location
Tribus
Hong Kong, Hong Kong
(on-site)
Job Function
Financial Services
Quant Developer - Tick Data
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Quant Developer - Tick Data
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
About the CompanyWe are a global quantitative and systematic investment firm, active across all major liquid asset classes worldwide. Driven by data and technology, we take a scientific approach to investing. Our culture blends rigorous research, innovative engineering, and trading expertise to tackle complex challenges. With a strong emphasis on collaboration and innovation, we are committed to delivering consistent, high-quality returns for our investors.
Your Role
As a key member of the development team, you will play a critical role in designing and improving data solutions that support researchers and quantitative analysts. You'll be responsible for:
- Designing and implementing robust software and infrastructure in a cloud-based environment (AWS)
- Building and maintaining data pipelines using Python, along with cloud SDKs and data libraries
- Ensuring accuracy and completeness of data across essential pipelines
- Delivering tailored data solutions to support quantitative researchers and trading teams
Your Skills and Experience
- Strong proficiency in Python; experience with C++ is a significant advantage
- Hands-on experience with tick data systems and/or cloud computing tools
- Familiarity with L3 market data (order-by-order tick data) is highly desirable
- At least 3 years of experience in a quantitative trading environment preferred
- Solid understanding of Equities and Futures markets is a plus
- Comfortable with Linux development tools and environments
- Experience in continuous integration/deployment environments is highly beneficial
- Collaborative mindset and a strong team player
Job ID: 80059370
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