Sports Trader: Quantitative Markets (Flexible Hours)

Trading Interview; Pennsylvania; Hybrid; USD 90.000 - 140.000; Vollzeit

Zusammenfassung

Susquehanna is a global quantitative trading firm known for scientific rigor and teamwork. This full-time trading role involves making rapid decisions to trade a wide range of sports and political products using in-house models and technology.

You will trade primarily American sports such as NFL, NBA, MLB, and more, run and refine pregame and in-game strategies, and recap past decisions to improve future outcomes.

Qualifikationen

• Bachelor's degree in a technical field (math/stats/CS/physics/economics) required.
• Interest in NFL/NBA/NCAAF/NCAAB/soccer/tennis/baseball.
• Strong quantitative, logical reasoning, and analytical skills.
• Ability to perform under pressure in a fast-paced environment.
• Willingness to accommodate flexible hours; visa sponsorship not available.

Aufgaben

• Trade a wide range of sports and political products using in-house models and technology.
• Run and maintain strategies to trade pregame and in-game to maximize expectancy and other business objectives.
• Analyze and recap past decision making to improve future trading decisions.
• Note interesting trading and market dynamics to suggest areas of research for the quant team.
• Brainstorming useful strategies and features to improve future trading.

Kenntnisse

Quantitative reasoning

Analytical skills

Logical reasoning

Python

Pandas/NumPy

Ausbildung

Bachelor's degree in a technical discipline

Tools

Pandas

NumPy

Jobbeschreibung

Job Type Full-time

Posted April 2025

The role

Job description

Overview

This is a trading role in which you will be making quick decisions to trade a wide swath of sports and political products using in house models and technology.

What you'll do:

• Trading mainly American sports – NFL, NBA, MLB, Tennis, NCAAF, NCAAB, football (soccer)
• Running and maintaining strategies to trade pregame and in-game to maximize expectancy (and other business objectives)
• Analyzing and recapping past decision making to improve future trading decisions
• Noting interesting trading and market dynamics to suggest areas of research for the quant team
• Brainstorming useful strategies and features to improve future trading

What we're looking for

• Minimum of a Bachelor’s degree, preferably in a technical discipline such as mathematics, statistics, computer science, physics, economics, etc.
• Interest in some subset of – NFL, NBA, NCAAF, NCAAM, soccer, tennis, or baseball
• Exceptional quantitative, logical reasoning, and analytical skills
• Ability to work under pressure in a fast-paced environment
• Willingness to be flexible with hours and schedule
• Knowledge of data manipulation libraries such as Pandas/NumPy is a plus
• Ability to recap and analyze thought processes, trading situations, and market dynamics for future analysis
• Strong interpersonal and communication skills
• Visa sponsorship for work authorization is not available for this position now or in the future

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 [e-mail]. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

#LI-MG1

#LI-Onsite

• Minimum of a Bachelor’s degree, preferably in a technical discipline such as mathematics, statistics, computer science, physics, economics, etc.
• Interest in some subset of – NFL, NBA, NCAAF, NCAAM, soccer, tennis, or baseball
• Exceptional quantitative, logical reasoning, and analytical skills
• Ability to work under pressure in a fast-paced environment
• Willingness to be flexible with hours and schedule
• Knowledge of data manipulation libraries such as Pandas/NumPy is a plus
• Ability to recap and analyze thought processes, trading situations, and market dynamics for future analysis
• Strong interpersonal and communication skills
• Visa sponsorship for work authorization is not available for this position now or in the future

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 [e-mail]. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

#LI-MG1

#LI-Onsite

This description was published by Susquehanna International Group (SIG). Applications are handled on their careers site: we are not the employer and cannot process them.

Next step

Apply at Susquehanna International Group (SIG)

Apply now Opens the firm's own careers site.

SIG is a global quantitative trading firm founded with an entrepreneurial mindset and a rigorous analytical approach to decision making. As one of the largest proprietary trading firms in the…

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