Senior Developer - Java, Python, Data and Quantitative Analytics
Hong Kong, Hong Kong SAR / Singapore, Singapore
Trading – Quant Front Office /
Full-time /
Hybrid
The Quant Trading team is responsible for trading and managing risks associated with different crypto products, including spots and derivatives. The team develops and implements trading strategies in fast-paced and complex trading environments.
Responsibilities
- Develop and enhance applications utilizing Java and Python, with a focus on performance and scalability.
- Implement and maintain event processing and messaging queues, with expertise in Kafka, Flink, and Complex Event Processing (CEP) technologies.
- Design, deploy, and manage cloud-based solutions on AWS, ensuring high availability and scalability.
- Administer and optimize Kubernetes (k8s) clusters for container orchestration and management.
- Conduct quantitative data analysis, leveraging a robust quantitative analytic framework to inform decision-making and improve system performance.
- Develop, maintain, and utilize tools like Prometheus and Grafana for effective time-series data visualization and monitoring.
- Create and manage statistical reports and reporting systems, ensuring they provide actionable insights.
- Collaborate closely with various teams to automate and streamline trading, reconciliation, and analytics workflows.
- Provide advanced technical support and troubleshooting for developed systems and applications.
Requirements
- Minimum of 5 years of professional experience in both Java and Python development.
- Profound knowledge in event processing and messaging queues, including experience with Kafka, Flink, and CEP technologies.
- Strong experience with AWS cloud services and proficient in managing Kubernetes environments.
- Demonstrated ability in quantitative data analysis and familiarity with quantitative analytic frameworks.
- Skilled in the use of Prometheus and Grafana for time-series data visualization and monitoring.
- Experience in developing and maintaining reporting systems with a strong grasp of statistical report generation.
- Prior experience in a trading or financial environment is beneficial but not mandatory.
- Solid understanding of system design, data structures, and algorithms.
- Good problem-solving skills and the ability to work under pressure in a fast-paced environment.
- Excellent communication and teamwork skills.
- Familiarity with Aeron messaging and Simple Binary Encoding (SBE) protocol.
- Knowledge of C++ and experience with FPGA programming.
- Understanding of cryptocurrency markets and related technologies.
- Experience with network programming (TCP, WebSocket).
- Experience with Linux system administration and optimization.
- Previous experience with technologies such as Boost, ZeroMQ, MongoDB, Protobuffer.
Nice to Have:
