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Quantitative Trading Engineer

2 weeks ago

Singapore beBeequantitative Full time $90,000 - $120,000
Job Title:

Quantitative Trading Engineer

About the Role:

The Quantitative Trading team is responsible for developing and implementing trading strategies in fast-paced and complex trading environments. This role involves designing, deploying, and managing cloud-based solutions on AWS to ensure high availability and scalability.

Key Responsibilities:

  1. Develop and enhance applications utilizing Java and Python with a focus on performance and scalability.

  2. Implement and maintain event processing and messaging queues with expertise in Kafka, Flink, and CEP technologies.

  3. Administer and optimize Kubernetes clusters for container orchestration and management.

  4. Conduct quantitative data analysis leveraging a robust quantitative analytic framework to inform decision-making and improve system performance.

  5. Develop, maintain, and utilize tools like Prometheus and Grafana for effective time-series data visualization and monitoring.

  6. Create and manage statistical reports and reporting systems ensuring they provide actionable insights.

  7. Collaborate closely with various teams to automate and streamline trading, reconciliation, and analytics workflows.

  8. 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.

Nice to Have:

  • 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.