Description
Who We Are
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Develop and maintain a completed low-latency strategy framework including but not limited to strategy modules, feature engine, research framework etc.
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Continuously optimize system performance and conduct bottleneck analysis to ensure peak performance in live trading environments
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Collaborate with Quantative Researchers to implement and optimise trading strategies.
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Design and implement an automated trading stack, enabling efficient strategy deployment, real-time system health monitoring, and robust execution of trading strategies.
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Bachelor or Master's degree in Computer Science, Math, Physics or related majors
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Experienced in C++ with at least 3 years of experience in trading systems' or related functions' design and buildup
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Strong problem-solving skills, with the ability to independently design and implement complex modules.
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High sense of responsibility, excellent teamwork skills, and adaptability to a fast-paced work environment.
Why Join Us
- Competitive remuneration package and a meritocratic culture where accomplishments are rewarded
- Fast paced and result-oriented with a flat structure
- Teams collaborate in a casual working environment
- Excellent exposure to the digital asset ecosystem and the latest market insight
- Great career development opportunities
Disclaimer
We do not accept unsolicited resumes from any professional staffing or search firms. All resumes, or any other information identifying potential candidates, shared with any employee of Rock Bund Capital or its affiliates by any method without a standing signed supplier agreement will be deemed free to contact without restrictions, and no placement fee of any kind will be paid in the event the candidate is hired by Rock Bund Capital or any of its affiliates.
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