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.
Tasks will include:
* 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)
* Analysing 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 Maths, 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 analyse thought processes, trading situations, and market dynamics for future analysis
* Strong interpersonal and communication skills
* Quick learner
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.
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