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:
1. Trading mainly American sports – NFL, NBA, MLB, Tennis, NCAAF, NCAAB, Football (Soccer)
2. Running and maintaining strategies to trade pregame and in-game to maximize expectancy (and other business objectives)
3. Analysing and recapping past decision making to improve future trading decisions
4. Noting interesting trading and market dynamics to suggest areas of research for the quant team
5. Brainstorming useful strategies and features to improve future trading
What we're looking for
6. Minimum of a Bachelor’s degree, preferably in a technical discipline such as Maths, Stats, Computer Science, Physics, Economics etc.
7. Interest in some subset of -- NFL, NBA, NCAAF, NCAAM, Soccer, Tennis, or Baseball
8. Exceptional quantitative, logical reasoning, and analytical skills
9. Ability to work under pressure in a fast-paced environment
10. Willingness to be flexible with hours and schedule
11. Knowledge of data manipulation libraries such as Pandas/Numpy is a plus
12. Ability to recap and analyse thought processes, trading situations, and market dynamics for future analysis
13. Strong interpersonal and communication skills
14. Quick learner