Cubist Data Scientist

Overview

Data Scientist to support Cubist Data Services by onboarding datasets, building and deploying data pipelines, and enabling research and production trading data for portfolio management.

What you'll do

• Onboard novel datasets from varied sources into the platform.
• Develop, test, and deploy data pipelines, applications, and services.
• Reshape, aggregate, enhance, and create features from datasets.
• Define and automate qualitative data alerts and reports.
• Collaborate with vendors and internal stakeholders to understand dataset characteristics.
• Partner with investment teams to meet their data requirements.
• Conduct preliminary analysis and research to share with investment teams.

What you'll need

• Have a Master’s degree in Financial Engineering, Statistics, Computer Science, or a related quantitative discipline.
• Strong programming skills in Python and SQL.
• Experience with AWS, Linux, and Airflow is preferred.
• Financial industry experience is preferred.
• Strong organization, communication, and interpersonal skills.
• Attention to detail and a love of processes.
• Ability to exercise sound judgment and prioritize assignments.

Details

• Role involves day-to-day implementation of a large research infrastructure and live production trading across global capital markets, including equities, futures, options, and other instruments.