Senior Analytics Developer - Data Platform, Quant Analytics, Java, Python

P2P; Singapore; On-site; USD 80,000 - 150,000; Full time

Job summary

Join an innovative firm that thrives in the fast-paced world of crypto trading! As part of the Quant Trading team, you will develop and enhance applications using Java and Python, focusing on performance and scalability. Your expertise in event processing, AWS cloud solutions, and Kubernetes will be essential in optimizing trading strategies and managing risks. Collaborate with various teams to automate workflows and provide advanced technical support. This role offers a unique opportunity to make a significant impact in the evolving cryptocurrency landscape, where your contributions will drive success and innovation.

Qualifications

• 5+ years of experience in Java and Python development.
• Strong knowledge of AWS and Kubernetes for cloud solutions.

Responsibilities

• Develop and enhance applications using Java and Python for performance.
• Administer and optimize Kubernetes clusters for container management.

Skills

Java Development

Python Development

Event Processing

Messaging Queues (Kafka, Flink)

Quantitative Data Analysis

Problem-Solving

Communication Skills

Tools

AWS

Kubernetes

Prometheus

Grafana

Job description

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.