Quant jobs / Schonfeld

2027 Data Science Intern

A 10-week summer internship on Schonfeld's data science team, which builds curated and feature datasets for the firm's investment strategies. Interns work with engineers and portfolio manager teams.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Improve data ingestion pipelines to keep inputs clean
Build curated datasets that standardise research
Generate features and signals for portfolio manager teams
Test ideas with quantitative analysis and backtests

What they ask for

Required

Python, SQL or similar
Statistical and machine-learning packages
Financial dataset analysis
Attention to detail
Communication
Quantitative degree

Preferred

Deep learning
AI tools
Spark, Kafka, Docker or Airflow
Asset class knowledge (equity, futures, fixed income)

Education: Degree in a quantitative field such as computer science, data science or financial engineering.
Experience: Current students
Languages and tools: Python
SQL
Markets: equities, futures, fixed-income

How to prepare

Build a cleaned feature dataset from public market data and document it
Learn pandas and SQL for large time-series joins
Run a simple backtest of a feature to see whether it carries information
Try an Airflow or Docker workflow to schedule a data job

What to study

The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Schonfeld’s site before applying: requirements, location and pay can change after we check them.

View the posting on Schonfeld’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Schonfeld and doesn’t handle applications.