Overview
As a Quantitative Systematic Trading Intern at SIG, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance.
When exploring quant internship opportunities, students are typically looking for:
• Applications of probability, statistics, and other mathematical tools to real -world problems in the financial markets
• Warm, friendly, and supportive colleagues
• A place where they feel comfortable asking many, many questions
• An open environment that allows them to collaborate with multiple teams
• A culture that values transparency and integrity
• A place where they can envision long-term growth
SIG combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.
What we're looking for
• Master's students graduating in 2026 and studying in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
• Solid, analytical problem-solving skills
• Excellent logical reasoning
• Strong communication skills in a fast-paced and/or highly collaborative environment are essential
• Experience writing code to process and analyze large sets of data, especially in Python
• Experience in C++ or other low level programming languages is a plus
• Demonstrated interest in strategic games and/or competitive activities
• Ability to thrive in a fast-paced environment
By applying to this role, you will be automatically considered for the Quantitative Research Internship program. There is no need to apply to both positions to be considered for both.
SIG does not accept unsolicited resumes from recruiters or search firms. Any resume or referral submitted in the absence of a signed agreement will become the property of SIG and no fee will be paid.
