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.

In this role you will:

• 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

• Minimum of a Bachelor’s degree, preferably in a technical discipline such as Math, Stats, 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.

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.