Tech Stack

Description

You will collaborate with Cubist's Data Services group to ensure timely delivery of comprehensive and error-free data for systematic Portfolio Managers. Your work will support predictive modeling in finance, involving everything from onboarding novel datasets to building in-house derived data products and researching new technologies.

Requirements

• PhD or Masters in quantitative discipline
• Strong programming in Python and SQL
• 5+ years Data Scientist experience
• Experience with large datasets and predictive modeling
• Strong communication and organizational skills

Responsibilities

• Onboarding novel datasets from various sources
• Building processes to ingest, clean, and deliver datasets
• Analyzing data for usability, cleanliness, and feature extraction
• Creating in-house derived data products for investment teams
• Engaging with vendors and internal stakeholders