Finance Data Science Intern: Build Signals & Datasets

Schonfeld; New York, Northern (NY, KY); Hybrid; USD 100,000 - 110,000; Full time

Job summary

Schonfeld Summer Internship in New York offers a hands-on data science experience within a global hedge fund. Over 10 weeks you'll build solutions for real-world challenges, paired with a dedicated manager and mentor to guide your development.

You'll collaborate with engineering and portfolio teams to optimize data pipelines, generate features, and gain domain expertise across asset classes while contributing to alpha generation and research.

Qualifications

• Proficiency with Python and SQL and other programming languages.
• Experience with statistical and ML packages for quantitative analysis.
• Experience researching and analyzing financial datasets.
• Attention to detail and strong communication skills.
• Degree in a quantitative field such as CS, data science or financial engineering.
• Strong interest in financial markets.
• Knowledge of deep learning models.
• Familiarity with AI tools to accelerate work.
• Experience with Spark, Kafka, Docker, Airflow.
• Knowledge of financial asset classes such as equity, futures, and fixed income.

Responsibilities

• Work closely with engineering teams to optimize data ingestion pipelines.
• Collaborate with portfolio manager teams to extract insights and generate features.
• Develop domain expertise across financial asset classes and datasets.
• Produce curated datasets to standardize research.
• Conduct quantitative analysis to generate ideas and validate hypotheses via backtesting.

Skills

Python/SQL

ML/Statistics

Finance data

Attention to detail

Deep learning

AI tools

Education

Quant degree (CS/Data Science/Financial Engineering)

Tools

Spark

Kafka

Docker

Airflow

Job description

Schonfeld Summer Internship in New York offers a hands-on data science experience within a global hedge fund. Over 10 weeks you'll build solutions for real-world challenges, paired with a dedicated manager and mentor to guide your development.

You'll collaborate with engineering and portfolio teams to optimize data pipelines, generate features, and gain domain expertise across asset classes while contributing to alpha generation and research.