2027 Data Science Intern
About The Position
Schonfeld is offering a 10-week summer internship for a student to join its data science team. The team creates proprietary curated and feature datasets, conducts data analytics and research, and supports investment strategies. The intern will work with engineering teams to optimize data ingestion pipelines and ensure high-quality inputs, and collaborate with portfolio manager teams to derive insights and systematically generate features or signals for alpha generation. The role also involves building domain expertise across financial asset classes and datasets, producing curated datasets to standardize research, and conducting quantitative analysis to generate ideas and validate hypotheses through backtesting. Interns receive support from a dedicated manager and mentor, take part in learning sessions and hands-on skills workshops, network at social events, and learn how various functions contribute to the firm.
Requirements
- 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 a quantitative field such as computer science, data science, or financial engineering.
Nice To Haves
- 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 Spark, Kafka, Docker, or Airflow.
- Knowledge of financial asset classes such as equity, futures, and fixed income.
Responsibilities
- Work with engineering teams to optimize data ingestion pipelines and ensure high-quality data input.
- Collaborate with portfolio manager teams to extract insights from data.
- Systematically generate features or signals that feed into the alpha generation process.
- Develop domain expertise across financial asset classes and datasets.
- Produce curated datasets to standardize research.
- Conduct quantitative analysis to generate ideas and validate hypotheses through backtesting.
Benefits
- Dedicated manager and mentor to guide development.
- Learning sessions with senior leaders.
- Hands-on skills workshops.
- Social events and networking opportunities.
- Learning and educational offerings.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
