Quant Developer - Crypto Desk

We are seeking a Hong Kong based Quantitative Developer to join a global buy-side. This role sits at the intersection of sophisticated software engineering and quantitative finance, working closely with traders and researchers to build, refine, and scale the infrastructure behind high-performance market-making strategies. This is a unique chance to influence the evolving crypto landscapes through technical innovation.

Responsibilities:

1. Design, implement, and optimize low-latency trading algorithms and quantitative models specifically tailored for global crypto markets.
2. Act as the vital bridge between quantitative research and production by converting complex mathematical strategies into high-efficiency Java code.
3. Enhance existing trading frameworks to ensure maximum speed, stability, and scalability during periods of high volatility.
4. Integrate diverse data streams—both on-chain and off-chain—while maintaining the rigorous data integrity required for accurate modeling.
5. Proactively oversee live trading systems to troubleshoot performance bottlenecks and minimize downtime.
6. Champion the use of Generative AI and automated data copilots to streamline internal workflows and improve the quality of team decision-making.
7. Contribute to the continuous improvement of development processes and stay current with advancements in quantitative finance.

Requirements

1. Professional mastery of Java with a proven track record in algorithmic trading or high-frequency/low-latency environments.
2. Direct experience working on a Crypto or HFT desk with a deep understanding of market microstructures.
3. Solid background in processing real-time market data and performing deep-dive tick data analytics.
4. Familiarity with hybrid or cloud-based market access and modern deployment pipelines.
5. Strong communication skills with the ability to articulate complex technical concepts to stakeholders clearly.
6. Prior experience in Warrants, Market Making, options, algo or systematic trading is preferred.
7. Knowledge of cloud infrastructure (AWS/GCP)