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Swish Analytics

Trading Analyst

Swish Analytics

Trading 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.

Posted 6/19/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSeniorWebsite

ATS Keywords

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Applicant Tracking System Keywords

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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 & technologies
MySQL

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