Quantitative Developer Intern: Build AI-Driven Trading Tools

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

Job summary

Schonfeld offers a Quantitative Developer Intern role in the Austin area, working with researchers and developers on predictive signals and trading algorithms. You will help build scalable software, train ML models, and process large datasets while gaining exposure to finance and risk management.

You are currently pursuing a bachelor’s, master’s, or doctoral degree in a quantitative field and proficient in Python, C/C++, Java, SQL or R.

Qualifications

• Pursuing a quantitative or technical degree (Quant, CS, Math, Physics, EE).
• Strong programming skills in one or more listed languages.
• Familiarity with machine learning algorithms and software frameworks.
• Able to communicate research ideas clearly and succinctly.
• Creative problem-solving; production software experience is a plus.
• Attention to detail; finance experience is beneficial.

Responsibilities

• Develop and improve software used in quantitative research.
• Train machine learning models on large datasets using parallel computing.
• Collaborate with senior engineers and researchers during the 10-week internship.
• Network and engage with colleagues through sessions and events.

Skills

Python

C/C++

Java

SQL

R

ML algorithms

Communication

Problem solving

Attention to detail

Finance experience

Education

Bachelor's degree

Master's degree

Doctoral degree

Job description

Schonfeld offers a Quantitative Developer Intern role in the Austin area, working with researchers and developers on predictive signals and trading algorithms. You will help build scalable software, train ML models, and process large datasets while gaining exposure to finance and risk management.

You are currently pursuing a bachelor’s, master’s, or doctoral degree in a quantitative field and proficient in Python, C/C++, Java, SQL or R.