Quantitative Research Intern: ML Signals & Trading

Schonfeld; Austin (TX); On-site; USD 175,000 - 220,000; Part time

Job summary

Over the 10-week internship, you will pair with a dedicated manager and a mentor, collaborate with senior team members, and network through learning sessions and hands-on workshops, gaining real-world experience in a global hedge fund environment.

Qualifications

• Pursuing a quantitative or technical degree in statistics, mathematics, physics, electrical engineering, or computer science.
• Proficient in Python, C, C++, Java, SQL, or R.
• Knowledge of probability, statistics, and machine learning; deep learning or NLP is a plus.

Responsibilities

• Contribute to research on predictive trading signals.
• Develop predictive features and machine learning models.
• Test research hypotheses and evaluate predictive performance on out-of-sample data.
• Collaborate with senior researchers and mentors during the 10-week internship.

Skills

Python

C

C++

Java

SQL

R

Education

Quant/Technical degree (undergrad/grad/PhD)

Job description

Over the 10-week internship, you will pair with a dedicated manager and a mentor, collaborate with senior team members, and network through learning sessions and hands-on workshops, gaining real-world experience in a global hedge fund environment.