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.   What you’ll do - Over the 10-week program, you’ll apply probability, statistics and mathematical creativity to several impactful trading projects. - Collaborate with researchers, traders, and technologists to help transform our quantitative modeling into trading opportunities and strategies. - Join an industry leading training program and be mentored by industry experts on topics including option theory and option modeling in the classroom to help build a foundation for a long-term career - Read about Robert’s ‘Day in the life’ as a Quantitative Researcher

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.   What you’ll do - Over the 10-week program, you’ll apply probability, statistics and mathematical creativity to several impactful trading projects. - Collaborate with researchers, traders, and technologists to help transform our quantitative modeling into trading opportunities and strategies. - Join an industry leading training program and be mentored by industry experts on topics including option theory and option modeling in the classroom to help build a foundation for a long-term career - Read about Robert’s ‘Day in the life’ as a Quantitative Researcher

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.  

About SIG SIG is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking. We have incorporated this approach into our culture, where you will find relentless problem solvers within each of our core disciplines: Trading, Technology, and Quantitative Research. From offices around the world, our employees collaborate to make optimal decisions and are driven by the desire to achieve winning results together.    What we do We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each asset class.  

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. Our Quantitative Researchers apply mathematics, statistics, and programming to solve complex problems found in our trading environment. 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.   What you’ll do   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.   Read about Robert’s ‘Day in the life’ as a Quantitative Researcher.

We’re looking for accomplished researchers who are interested in growing their career in the field of quantitative finance. Our Quantitative Researchers apply mathematics, statistics, and programming to solve complex problems found in our trading environment. 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.   What you’ll do   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.   Read about Robert’s ‘Day in the life’ as a Quantitative Researcher.

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.  

Our Quantitative Researchers apply mathematics, statistics, and programming to find solutions to complex problems that occur in financial markets. They use research as a tool to better understand global markets, varying products, and the network of exchanges that we trade on. Quants move SIG's business forward by improving, identifying, and implementing trading strategies for the firm.   We don’t expect you to have prior industry experience in proprietary trading or financial services to succeed at Susquehanna International Group. We’re looking for people who are naturally curious, relentless problem solvers, and have the desire to continuously innovate, learn, and grow.

SIG is looking for someone with an understanding and interest in sports analytics to join our Quantitative Research team. Quantitative Researchers at SIG use research to better understand markets and to identify, develop and improve strategies for the firm.   This is a research, development and modeling role in which you will use your background in mathematics and statistics to seek out reliable, timely sports data to clean, analyze, and transform into algorithms and strategies. This position will likely require intermittent international travel.

At SIG, the Sports Analytics team builds statistical forecasting models that help provide liquidity for the sports betting industry. These models are vital to creating new trading strategies and informing decision-makers about the distribution of game events. By joining our Sports Analytics team, you will be part of a group that is passionate about mathematics, gaming, and technology.   In this role, you will - Immerse yourself in sports analytics research - Empirically test ideas using real industry data - Write programs to implement models and simulate outcomes - Discuss and collaborate with fellow researchers, traders, and technologists

We’re looking for quant-minded strategists who value the power of interdisciplinary knowledge and cooperative thinking. Our Quantitative Systematic Traders combine the skills of quantitative research with the knowledge of trading to develop new electronic strategies and monitor real-time performance. As a true hybrid of our core disciplines, Quantitative Systematic Traders are constantly communicating and connecting ideas between trading, technology, and quantitative research.   The general life cycle 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 Systematic Trader, 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. - To assess the strength of that trading signal, you will run it through our backtesting environment and carefully analyze its performance. - If that signal produces profitable results, you will work side-by-side with technologists and put it into production. - Once that signal is embedded in our electronic trading strategies, you will actively monitor its real-time performance in the financial markets. - 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 quant-minded strategists who value the power of interdisciplinary knowledge and cooperative thinking. Our Quantitative Systematic Traders combine the skills of quantitative research with the knowledge of trading to develop new electronic strategies and monitor real-time performance. As a true hybrid of our core disciplines, Quantitative Systematic Traders are constantly communicating and connecting ideas between trading, technology, and quantitative research.   The general life cycle 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 Systematic Trader, 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. - To assess the strength of that trading signal, you will run it through our backtesting environment and carefully analyze its performance. - If that signal produces profitable results, you will work side-by-side with technologists and put it into production. - Once that signal is embedded in our electronic trading strategies, you will actively monitor its real-time performance in the financial markets. - 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 quant-minded strategists who value the power of interdisciplinary knowledge and cooperative thinking. Our Quantitative Systematic Traders combine the skills of quantitative research with the knowledge of trading to develop new electronic strategies and monitor real-time performance. As a true hybrid of our core disciplines, Quantitative Systematic Traders are constantly communicating and connecting ideas between trading, technology, and quantitative research.   What you’ll do   The general life cycle 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 Systematic Trader, 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. - To assess the strength of that trading signal, you will run it through our backtesting environment and carefully analyze its performance. - If that signal produces profitable results, you will work side-by-side with technologists and put it into production. - Once that signal is embedded in our electronic trading strategies, you will actively monitor its real-time performance in the financial markets. - 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.   Read about Robert’s ‘Day in the life’ as a Quantitative Researcher.

We’re looking for quant-minded strategists who value the power of interdisciplinary knowledge and cooperative thinking. Our Quantitative Systematic Traders combine the skills of quantitative research with the knowledge of trading to develop new electronic strategies and monitor real-time performance. As a true hybrid of our core disciplines, Quantitative Systematic Traders are constantly communicating and connecting ideas between trading, technology, and quantitative research.   The general life cycle 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 Systematic Trader, 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. - To assess the strength of that trading signal, you will run it through our backtesting environment and carefully analyze its performance. - If that signal produces profitable results, you will work side-by-side with technologists and put it into production. - Once that signal is embedded in our electronic trading strategies, you will actively monitor its real-time performance in the financial markets. - 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 quant-minded strategists who value the power of interdisciplinary knowledge and cooperative thinking. Our Quantitative Systematic Traders combine the skills of quantitative research with the knowledge of trading to develop new electronic strategies and monitor real-time performance. As a true hybrid of our core disciplines, Quantitative Systematic Traders are constantly communicating and connecting ideas between trading, technology, and quantitative research.   The general life cycle 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 Systematic Trader, 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. - To assess the strength of that trading signal, you will run it through our backtesting environment and carefully analyze its performance. - If that signal produces profitable results, you will work side-by-side with technologists and put it into production. - Once that signal is embedded in our electronic trading strategies, you will actively monitor its real-time performance in the financial markets. - 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 quant-minded strategists who value the power of interdisciplinary knowledge and cooperative thinking. Our Quantitative Systematic Traders combine the skills of quantitative research with the knowledge of trading to develop new electronic strategies and monitor real-time performance. As a true hybrid of our core disciplines, Quantitative Systematic Traders are constantly communicating and connecting ideas between trading, technology, and quantitative research.   What you’ll do   The general life cycle 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 Systematic Trader, 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. - To assess the strength of that trading signal, you will run it through our back testing environment and carefully analyse its performance. - If that signal produces profitable results, you will work side-by-side with technologists and put it into production. - Once that signal is embedded in our electronic trading strategies, you will actively monitor its real-time performance in the financial markets. - 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. Read about Robert’s ‘Day in the life’ as a Quantitative Researcher.