Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.   At Susquehanna, quantitative researchers drive...

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 Susquehanna 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...

  As a Quantitative Researcher at Susquehanna, you’ll blend strong research capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, Quantitative Researchers typically focus more on model development, robustness, and long-term reliability.   What you can expect - Modelling. Apply probability theory, statistical analysis, and...

As a Quantitative Researcher at Susquehanna, you’ll blend strong research capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, Quantitative Researchers typically focus more on model development, robustness, and long-term reliability.   What you can expect - Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build...

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 Susquehanna 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...

As a Quantitative Researcher at Susquehanna, you’ll blend strong research capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, Quantitative Researchers typically focus more on model development, robustness, and long-term reliability.   What you can expect - Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build...

As a Quantitative Researcher at Susquehanna, you’ll blend strong research capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, Quantitative Researchers typically focus more on model development, robustness, and long-term reliability.   What you can expect - Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build...

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 Susquehanna'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...

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.  

At Susquehanna , 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.  

As a quantitative strategy developer, you'll work in a computationally intensive role that will allow you to use your strong technical skills to solve problems at the intersection of trading, quant and technology. You will have the chance to work on challenging projects for our trading strategy development teams in spaces such as signal creation and detection, quantitative strategy analysis, and low latency C++ strategy development. Additionally, you’ll have the opportunity to work on the desk side by side with senior developers who understand the nuances of building complex trading strategies. Through splitting your time between working on a trading desk and participating in education in a...

Susquehanna is looking for highly motivated full-time students for our 10-week quantitative strategy development summer internship program. This is a computationally intensive role that will allow you to use your strong technical skills to solve problems at the intersection of trading, quant and technology.   Throughout the summer, you will receive education about how markets work by going through a deep dive into financial markets and Susquehanna’s approach to trading. You will also work on challenging projects for our trading strategy development teams in spaces such as signal creation and detection, quantitative strategy analysis, and low latency C++ strategy development. Additionally,...

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.   At Susquehanna, our quantitative systematic traders...

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.  

As a Quantitative Systematic Trader at Susquehanna, you’ll combine quantitative research expertise with deep trading intuition to build and refine data-driven, fully automated trading strategies. You’ll actively monitor real-time strategy performance and use market behavior and feedback to improve and optimize profitability. Serving as a hybrid between traders and researchers, Quantitative Systematic Traders focus more on alpha monetization, execution efficiency, and live trading performance.   What you can expect - Modelling. Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market...

As a Quantitative Systematic Trader at Susquehanna, you’ll combine quantitative research expertise with deep trading intuition to build and refine data-driven, fully automated trading strategies. You’ll actively monitor real-time strategy performance and use market behavior and feedback to improve and optimize profitability. Serving as a hybrid between traders and researchers, Quantitative Systematic Traders focus more on alpha monetization, execution efficiency, and live trading performance.   What you can expect - Modelling. Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market...

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.  

As a Quantitative Systematic Trader at Susquehanna, you’ll combine quantitative research expertise with deep trading intuition to build and refine data-driven, fully automated trading strategies. You’ll actively monitor real-time strategy performance and use market behavior and feedback to improve and optimize profitability. Serving as a hybrid between traders and researchers, Quantitative Systematic Traders focus more on alpha monetization, execution efficiency, and live trading performance.   What you can expect - Modelling. Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market...

As a Quantitative Systematic Trader at Susquehanna, you’ll combine quantitative research expertise with deep trading intuition to build and refine data-driven, fully automated trading strategies. You’ll actively monitor real-time strategy performance and use market behavior and feedback to improve and optimize profitability. Serving as a hybrid between traders and researchers, Quantitative Systematic Traders focus more on alpha monetization, execution efficiency, and live trading performance.   What you can expect - Modelling. Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market...

Our Quantitative Systematic Traders connect ideas between trading, quantitative research, and technology to improve how trading decisions are made. As a true hybrid of our core disciplines, you will investigate ideas by immersing yourself in market data, leveraging mathematics, statistics, and programming. Through your research, you will discover new patterns that transform into trading signals, back test your results and carefully analyze its performance. As your trading strategy evolves, you will discuss with other quant researchers, strategists, and traders to collect feedback and brainstorm new ideas.