Reference Data Engineer, Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

• Develop, test, and maintain software applications using .NET Full Stack technologies.

• Write clean, scalable, and efficient code in Python for various applications.

• Collaborate with cross-functional teams to define, design, and ship new features.

• Implement and manage CI/CD pipelines and other DevOps practices to ensure smooth deployment and operation of software solutions.

• Participate in code reviews and contribute to a culture of continuous improvement.

• Troubleshoot and resolve software defects and issues in a timely manner.

• Stay up to date with emerging technologies and industry trends to enhance skills and knowledge.

We are looking for a motivated and skilled Software Engineer with experience in .NET Full Stack development, Python, and DevOps. You should also have:

• Bachelor’s or master’s degree in computer science, engineering, statistics or a related field.

• 3+ years of experience in .NET Full Stack development and Python programming.

• Basic understanding and practical experience with DevOps tools and methodologies.

• Strong problem-solving skills and attention to detail.