2027 Data Science Intern

Schonfeld is a global multi-manager hedge fund that uses proprietary technology, infrastructure, and risk analytics across multiple investment strategies. The Data Science Intern will support data ingestion, analytics, quantitative research, feature and signal generation, curated dataset development, and backtesting in collaboration with engineering and portfolio management teams.

What you'll do:

• As a data scientist, you will work closely with the engineering teams to optimize data ingestion pipelines, ensuring high-quality data input
• You will also collaborate with portfolio manager teams to extract insights from data and systematically generate features or signals that feed into the alpha generation process
• Additionally, you will develop domain expertise across various financial asset classes and datasets, produce curated datasets to standardize research, conduct quantitative analysis to generate ideas and validate hypothesis through backtesting

What they're looking for:

• Knowledge of Python, SQL, or other programming languages
• Proficiency with statistical and machine learning packages for quantitative analysis
• Experience researching and analyzing financial datasets
• Attention to detail and strong communication skills
• Degree in quantitative field such as computer science, data science or financial engineering
• Strong passion for financial markets and related datasets
• Knowledge of deep learning models
• Familiarity with AI tools to accelerate work, with a focus on adding analysis and insight
• Experience with any of the following technologies: Spark, Kafka, Docker, Airflow
• Knowledge of financial asset classes such as equity, futures, and fixed Income

Benefits:

• A dedicated manager and a mentor who’ll guide your development over the course of the internship and beyond.
• Opportunities to connect with senior leaders through a series of learning sessions.
• Hands-on skills workshops.
• Networking at social events.
• Learning and educational offerings.
• Opportunities to make an impact.
• Internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.