Sports Trader

SIG Susquehanna; Pennsylvania; On-site; USD 120,000 - 210,000; Full time

Job summary

SIG Susquehanna is seeking a quantitative trader to rapidly execute and manage trading strategies across a broad set of sports using proprietary models and technology.

You will run and refine pregame and in-game strategies, analyze past decisions, and surface market dynamics to guide research and feature development for the quant team. A strong math/CS background and comfort under pressure are essential.

Qualifications

• Bachelor's degree in a technical discipline preferred (math, stats, CS, physics, econ).
• Strong quantitative and analytical skills with ability to reason under pressure.

Responsibilities

• Trading primarily American sports using in-house models and technology.
• Run and maintain strategies for pregame and in-game trading to maximize expectancy and business objectives.
• Analyze and recap past decisions to improve future trading decisions.
• Note market dynamics to identify research opportunities for the quant team.
• Brainstorm strategies and features to improve future trading.

Skills

Quantitative skills

Statistical modeling

Python (Pandas/NumPy)

Decision making under pressure

Core analytical thinking

Education

Bachelor's degree

Tools

Git

SQL

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 analysisStrong 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.