Cubist Senior Data Scientist

The role

This individual will ensure the smooth day-to-day implementation of a large research infrastructure and live production trading. They will onboard novel datasets and build processes to ingest, clean, and deliver data for investment teams.

What you will do

• Onboarding novel datasets from a huge variety of sources into our platform
• Building processes, tools and frameworks to ingest, clean and deliver datasets
• Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams
• Creation of in-house, value added, derived data products for consumption by investment teams
• Engaging with vendors and internal stakeholders to understand characteristics of datasets
• Partnering closely with investment teams to ensure their data requirements are met
• Research on new technologies to continuously improve data management and value-add for investment teams

Required qualifications

• PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis
• Strong programming skills in Python and SQL
• 5+ years of experience as a Data Scientist or similar role
• Experience working with large data sets including predictive modeling
• Strong organization, communication and interpersonal skills
• Intellectual curiosity and enthusiasm for learning
• Attention to detail and a love of processes
• Strong oral and written communication skills
• Ability to multitask and prioritize assignments
• Commitment to the highest ethical standards

Nice to have

• Experience working with AWS, Linux and Airflow
• Financial industry experience

About the company

Cubist’s Data Services (CDS) group is responsible for the timely delivery of comprehensive and error-free data to systematic Portfolio Managers.