What is a Data Scientist at Schonfeld?
At Schonfeld, a Data Scientist plays a pivotal role in bridging the gap between raw, complex financial data and actionable trading intelligence. As a premier multi-manager platform, Schonfeld relies on quantitative, systematic, and fundamental strategies to navigate global markets. Data is the fundamental fuel for these strategies, and the data science team is responsible for transforming massive, noisy, and unstructured datasets into clean, predictive signals that portfolio managers and quantitative researchers can deploy.
Your work in this role directly impacts the firm’s bottom line. Whether you are working with alternative datasets—such as transactional data, web-scraped sentiment, or satellite imagery—or processing high-frequency market tick data, your primary objective is to extract alpha. This requires not only exceptional programming and data engineering capabilities but also a deep understanding of market microstructure, statistical modeling, and machine learning.
The environment at Schonfeld is highly collaborative yet entrepreneurial. You will work alongside elite quantitative researchers, software engineers, and portfolio managers. Successful candidates are those who possess the technical rigor to write production-grade code, the mathematical sophistication to derive complex statistical models, and the financial intuition to understand why a particular data pattern translates into a viable trading strategy.


