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Quantitative Sports Researcher – Graduate Hire

at Susquehanna

Back to all Data Science / AI / ML jobs
Susquehanna logo
Proprietary Trading

Quantitative Sports Researcher – Graduate Hire

at Susquehanna

GraduateNo visa sponsorshipData Science/AI/ML

Posted 19 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Join Susquehanna's Sports Analytics team to build statistical forecasting models that support sports betting and trading strategies. You will conduct sports analytics research, empirically test ideas using real industry data, and write programs to implement models and simulate outcomes. The role emphasizes strong quantitative problem solving, practical programming skills, and collaboration with researchers, traders, and technologists. Ideal candidates are graduating Master's or PhD students with sports analytics experience and knowledge of US and international sports.

JOB DESCRIPTION
Overview

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.

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

What we're looking for
  • Graduating Master's or PhD students in a quantitatively-driven field
  • Solid, analytical problem-solving skills and excellent logical reasoning
  • Exceptional communication skills, both in the ability to understand others and to make yourself clearly understood
  • Strong, practical computer programing skills
  • Demonstrated experience working on sports analytics projects
  • Understanding of US Sports (NFL, NBA, MLB, NHL) and world sports (soccer, tennis, golf, cricket)
  • Intermittent international travel may be required

About Susquehanna

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.

If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

#LI-Onsite

Quantitative Sports Researcher – Graduate Hire

at Susquehanna

Back to all Data Science / AI / ML jobs
Susquehanna logo
Proprietary Trading

Quantitative Sports Researcher – Graduate Hire

at Susquehanna

GraduateNo visa sponsorshipData Science/AI/ML

Posted 19 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Join Susquehanna's Sports Analytics team to build statistical forecasting models that support sports betting and trading strategies. You will conduct sports analytics research, empirically test ideas using real industry data, and write programs to implement models and simulate outcomes. The role emphasizes strong quantitative problem solving, practical programming skills, and collaboration with researchers, traders, and technologists. Ideal candidates are graduating Master's or PhD students with sports analytics experience and knowledge of US and international sports.

JOB DESCRIPTION
Overview

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.

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

What we're looking for
  • Graduating Master's or PhD students in a quantitatively-driven field
  • Solid, analytical problem-solving skills and excellent logical reasoning
  • Exceptional communication skills, both in the ability to understand others and to make yourself clearly understood
  • Strong, practical computer programing skills
  • Demonstrated experience working on sports analytics projects
  • Understanding of US Sports (NFL, NBA, MLB, NHL) and world sports (soccer, tennis, golf, cricket)
  • Intermittent international travel may be required

About Susquehanna

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.

If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

#LI-Onsite