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Trading Analyst
Swish AnalyticsTrading Analyst managing client risk and analyzing sports betting trends for a sports analytics startup. Overseeing trading operations and making data-driven decisions in a fast-paced environment.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
sports bettingodds originationmathematical skillsstatistical skillsanalytical skillsdata analysisMySQLquantitative tradingrisk managementdepth chart accuracy
Soft Skills
results driven work ethicflexibilityindependencestrategic researchteam collaboration
Industry Keywords
NBANFLMLBNHLNCAA BasketballNCAA Footballin-game play experiencebetting marketstime-sensitive adjustmentsverified news sources
Tech Stack
Tools & technologiesMySQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- Minimum of 3 years of in-game play experience at an online sportsbook
- 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
- Bachelor’s Degree in a STEM discipline (preferred)
- An understanding of relational database systems (MySQL) (preferred)
- Experience working with cross functional teams (Data Science teams a plus) (preferred)
Benefits
Comp & perks- Competitive salary
- Flexible working hours