Sports Trading Analyst
3 weeks ago
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description - This position is 100% Remote
As a Trading Analyst, you will work in a geographically dispersed team setting based out of Malta or Spain with associated teams in the United States. The person in this role will work with a team of Trading Analysts to provide 24/7 customer support to Swish clients. This is a fast-paced environment with experts in sports analytics, data science, data engineering, professional/college sports, and software engineering. This role will be responsible for day-to-day client support during off-peak hours in the USA. The person in this role will routinely be expected to work nights, weekends, and holidays.
Duties:
- Manage client risk, ensuring the highest margins on Swish products through +EV decisions
- Manage and oversee depth chart accuracy, making time-sensitive adjustments in both prematch & in-play settings
- Strategically research & track verified news sources, being the first to uncover important news and understand the overall impact on betting markets
- Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions
- Bachelor's Degree; preference for STEM degree
- Deep understanding of sports betting and odds origination
- Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football
- Strong mathematical, statistical, and/or analytical skills – ability to understand and calculate + convert odds on the fly
- Results driven work ethic – focused on improving process, results and profitability
- Availability to work flexible schedules, including nights, weekends and/or holidays
- Passion and intimate knowledge of college football
- An understanding of relational database systems (MySQL)
- Experience working with cross functional teams (Data Science teams a plus)
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