Cubist Data Scientist
Core
Building scalable data infrastructure and pipelines to empower predictive modeling for systematic portfolio managers in finance.
Role type
Data Scientist (Financial Data Infrastructure)
Builds
Data pipelines, applications, and services for live production trading
Domain
Finance / Quantitative Data Infrastructure
Deliverable
production ML models | product features
Required skills
Python, SQL, data pipeline development, data aggregation, feature engineering, AWS, Linux, Airflow
Responsibilities
Onboarding novel datasets from diverse sources, developing and deploying data pipelines, re-shaping and creating features from datasets, defining and automating qualitative data alerts, partnering with investment teams to meet data requirements, performing preliminary analysis for investment teams
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