Are you interested in our summer 2025 Quantitative Research internship? Apply today and we will reach back out to you this summer when recruiting begins.   As a Quantitative Research 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.  

SIG’s Quantitative Researchers find solutions to complex problems that occur in the world of trading. They use research as a tool to better understand global markets, varying products, and the network of exchanges on which we trade. Quants move SIG's business forward by improving, identifying, and implementing trading strategies for the firm.   In this role, you will examine global markets, utilize terabytes of trading data, and leverage your statistical analytic skills to build models and strategies for a variety of financial instruments. By using your quantitative and computational experience, you will help us increase profitability for the firm while decreasing our risk in the capital markets. Our collaborative environment enables you to work closely with traders and developers as you continuously advance the sophistication and results of your research. The impact of your work becomes quickly apparent as it affects our trading environment on a daily basis. 

We’re looking for accomplished researchers who are interested in growing their career in the field of quantitative finance. While the problems we solve at SIG are often different from academia, our problems demand the attention of brilliant minds that have an extraordinary attention to detail and a relentless pursuit of understanding.   The general lifecycle of a quant project begins with an idea: - This idea can come from anyone: you, the mentor who sits beside you, or someone you meet in the cafeteria. - As a Quantitative Researcher, you will investigate that idea by immersing yourself in market data, leveraging tools in mathematics, statistics, and programming. - Through your research, you may discover a new pattern that can transform into a trading signal. - You will work side-by-side with technologists in order to backtest your results and put that trading signal into production. - Once that signal is embedded in our electronic trading strategies, you will continue to do research on that strategy in order to optimize its performance. - As your trading strategy evolves, you will discuss with other researchers, strategists, and traders to collect feedback and brainstorm new ideas. - Some of those ideas will turn into new quant projects, and the life cycle starts all over again. We have a comprehensive orientation program designed to bridge the gap between academia and industry. Education topics include an introduction to options pricing, exposure to our proprietary data sets, and opportunities to practice data analysis techniques. Beyond orientation, our trading floor serves as an unlimited source of discussion for learning and development.  

We’re looking for accomplished researchers who are interested in growing their career in the field of quantitative finance. While the problems we solve at SIG are often different from academia, our problems demand the attention of brilliant minds that have an extraordinary attention to detail and a relentless pursuit of understanding.   The general lifecycle of a quant project begins with an idea: - This idea can come from anyone: you, the mentor who sits beside you, or someone you meet in the cafeteria. - As a Quantitative Researcher, you will investigate that idea by immersing yourself in market data, leveraging tools in mathematics, statistics, and programming. - Through your research, you may discover a new pattern that can transform into a trading signal. - You will work side-by-side with technologists in order to backtest your results and put that trading signal into production. - Once that signal is embedded in our electronic trading strategies, you will continue to do research on that strategy in order to optimize its performance. - As your trading strategy evolves, you will discuss with other researchers, strategists, and traders to collect feedback and brainstorm new ideas. - Some of those ideas will turn into new quant projects, and the life cycle starts all over again. We have a comprehensive orientation program designed to bridge the gap between academia and industry. Education topics include an introduction to options pricing, exposure to our proprietary data sets, and opportunities to practice data analysis techniques. Beyond orientation, our trading floor serves as an unlimited source of discussion for learning and development.  

We’re looking for accomplished researchers who are interested in growing their career in the field of quantitative finance. While the problems we solve at SIG are often different from academia, our problems demand the attention of brilliant minds that have an extraordinary attention to detail and a relentless pursuit of understanding.   The general lifecycle of a quant project begins with an idea: - This idea can come from anyone: you, the mentor who sits beside you, or someone you meet in the cafeteria. - As a Quantitative Researcher, you will investigate that idea by immersing yourself in market data, leveraging tools in mathematics, statistics, and programming. - Through your research, you may discover a new pattern that can transform into a trading signal. - You will work side-by-side with technologists in order to backtest your results and put that trading signal into production. - Once that signal is embedded in our electronic trading strategies, you will continue to do research on that strategy in order to optimize its performance. - As your trading strategy evolves, you will discuss with other researchers, strategists, and traders to collect feedback and brainstorm new ideas. - Some of those ideas will turn into new quant projects, and the life cycle starts all over again. We have a comprehensive orientation program designed to bridge the gap between academia and industry. Education topics include an introduction to options pricing, exposure to our proprietary data sets, and opportunities to practice data analysis techniques. Beyond orientation, our trading floor serves as an unlimited source of discussion for learning and development.  

We’re looking for accomplished researchers who are interested in growing their career in the field of quantitative finance. While the problems we solve at SIG are often different from academia, our problems demand the attention of brilliant minds that have an extraordinary attention to detail and a relentless pursuit of understanding.   The general lifecycle of a quant project begins with an idea: - This idea can come from anyone: you, the mentor who sits beside you, or someone you meet in the cafeteria. - As a Quantitative Researcher, you will investigate that idea by immersing yourself in market data, leveraging tools in mathematics, statistics, and programming. - Through your research, you may discover a new pattern that can transform into a trading signal. - You will work side-by-side with technologists in order to backtest your results and put that trading signal into production. - Once that signal is embedded in our electronic trading strategies, you will continue to do research on that strategy in order to optimize its performance. - As your trading strategy evolves, you will discuss with other researchers, strategists, and traders to collect feedback and brainstorm new ideas. - Some of those ideas will turn into new quant projects, and the life cycle starts all over again. We have a comprehensive orientation program designed to bridge the gap between academia and industry. Education topics include an introduction to options pricing, exposure to our proprietary data sets, and opportunities to practice data analysis techniques. Beyond orientation, our trading floor serves as an unlimited source of discussion for learning and development.