Senior Developer - Java, Python, Data and Quantitative Analytics
Singapore, Singapore
Applications have closed
Crypto.com
Over 100 million users buy, sell, and trade Bitcoin, Ethereum, NFTs and more on Crypto.com. Join the World's leading crypto trading platform.
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. 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
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Tags: AWS Crypto Data analysis Data visualization Flink FPGA Grafana Java Kafka Kubernetes Linux MongoDB Privacy Python Security Statistics Trading Strategies
Perks/benefits: Career development Competitive pay Health care Medical leave
Region:
Asia/Pacific
Country:
Singapore
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