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.
In this role you will:
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Trading mainly American sports – NFL, NBA, MLB, Tennis, NCAAF, NCAAB, Football (Soccer)
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Running and maintaining strategies to trade pregame and in-game to maximize expectancy (and other business objectives)
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Analyzing and recapping past decision making to improve future trading decisions
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Noting interesting trading and market dynamics to suggest areas of research for the quant team
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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 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.