Point72 Senior Data Scientist at Cubist Data Services responsible for data onboarding, cleaning, and delivery to investment teams. Support research infrastructure and live production trading across global markets.
Responsibilities
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 (including AI solutions) to continuously improve data management and value-add for investment teams
Qualification
PhD or Masters in Financial EngineeringExperience working with AWSStrong organizationFinancial industry experience
Required
PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis
Strong programming skills in Python and SQL
Experience working with AWS, Linux and Airflow preferred but not required
5+ years of experience as a Data Scientist or similar role
Experience working with large data sets including predictive modeling
Financial industry experience preferred but not required
Strong organization, communication and interpersonal skills
Intellectual curiosity and enthusiasm for learning