Hong Kong onlyAbout BTSE:
BTSE Group is a global leader in fintech and blockchain technology, anchored by three core business pillars: Exchange, Payments, and Infrastructure Development. Serving over 100 corporate clients worldwide, we provide white-label exchange and payment solutions. Our offerings encompass everything from exchange infrastructure hosting and development to custody, wallets, payments, blockchain integration, trading, and
more. We are looking for talented professionals in marketing, operations, customer support,
and other departments. The roles offered may be on-site, remote, or hybrid, in collaboration with our local partner.
About the opportunity:
We are seeking a highly skilled Quant Developer to join our trading system development team. You will play a critical role in building, optimising, and maintaining a high-performance, low-latency trading system. This is an exciting opportunity to work in a fast-paced, collaborative environment and make a direct impact on trading strategies and operations.
Responsibilities
- Maintain low-latency, high-performance trading systems and applications using Java.
- Implement real-time data processing, trade execution, and order routing modules.
- Collaborate with traders and other developers to integrate trading strategies into the platform.
- Optimise application performance and conduct thorough testing, debugging and troubleshooting.
- Monitor and maintain production systems, ensuring uptime and performance.
Requirements
- An interest in crypto markets and systematic trading.
- 5+ years of hands-on experience with Java development.
- Experience in real-time systems or financial/trading environments.
- Understanding of multi-threading, concurrency, and low-latency system design.
- Knowledge of data structures, algorithms, and design patterns.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork skills.
Nice to have
- Experience working on crypto trading systems.
- Knowledge of crypto market instruments, such as perpetual futures.
- Familiarity with cloud platforms.
- Exposure to market data feeds and trading APIs.
- Knowledge of databases, including SQL and NoSQL.
- Experience in other scripting languages, like Python, for backtesting or tooling.
- Understanding of risk management in trading systems.
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