NHL Trading Analyst

Swish Analytics

WorldwideFully remoteFull TimeMid LevelFinance & Banking
USD 75,000+ a yearPosted 4h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 4 hours ago · apply link checked 4 hours ago

About the role

Responsibilities

  • Manage client risk and ensure high margins through +EV decisions
  • Oversee depth chart accuracy and make time-sensitive adjustments in prematch and in-play settings
  • Trade live, in-play markets in real time, adjusting prices based on line movement and in-game events
  • Research and track verified news sources to uncover news and understand market impact
  • Independently analyze betting trends using a scientific process to turn data into trading actions

Requirements

  • Minimum of 3 years demonstrated sports trading or betting experience
  • Deep understanding of sports betting, odds origination, and live in-play pricing dynamics
  • High expertise in NHL trading with broad knowledge of NFL, NBA, MLB, NCAA, soccer, and tennis
  • Strong mathematical, statistical, and/or analytical skills
  • Results-driven work ethic focused on improving profitability
  • Availability to work flexible schedules, including nights, weekends, and holidays

Preferred Qualifications

  • Bachelor's degree in a STEM, business analytics, or quantitative field
  • Working SQL proficiency and understanding of relational database systems
  • Experience working with cross-functional teams, such as Data Science teams

About the Company

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.

What we look for

  • 3+ years sports trading or betting experience
  • Deep understanding of sports betting and odds origination
  • High expertise in NHL trading
  • Strong mathematical and analytical skills
  • Availability for flexible schedules including nights and weekends
Data Analysis
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