Quantitative Strategies Developer
1 week ago
Job Overview
We are seeking a highly skilled Quant Engineer to join our team at JH Partners Asia Company Limited.
Key Responsibilities:
- Develop and implement high-frequency trading strategies using deep reinforcement learning techniques.
- Design and optimize low-latency data pipelines to process multi-modal inputs.
- Collaborate with FPGA engineers to deploy AI models in ultra-low-latency trading systems.
- Develop a real-time adaptive risk control module using Bayesian deep learning.
Requirements:
- Top-tier university PhD or Master's in Computer Science/Mathematics/Physics, with research focused on reinforcement learning, multi-agent systems, and time-series forecasting.
- Over 2 years of hands-on experience in quantitative funds or high-frequency trading institutions, having led AI strategy development from research to live trading.
- Proficient in core HFT concepts: tick-to-trade latency optimization, order book alpha extraction, and iceberg order detection.
- Familiar with cryptocurrency exchange APIs and WebSocket data stream processing.
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