NHL Trading Analyst

Swish Analytics • San Francisco, CA

18h • Remote

About The Position

Swish Analytics is a sports analytics, betting, and fantasy startup building predictive sports analytics data products. The NHL Trading Analyst will contribute to a sports trading operation by managing client risk and supporting accurate, profitable pricing and execution. This position is 100% remote and involves trading live markets, monitoring news and betting trends, and making time-sensitive decisions across prematch and in-play settings. The role also contributes to the team’s processes, tooling, and decision-making across multiple sports verticals.

Requirements

• At least 3 years of demonstrated sports trading or betting experience, which may come from an exchange, prediction market, independent or proprietary trading, or a documented record of +EV, model-driven betting.
• Deep understanding of sports betting, odds origination, and live in-play pricing dynamics.
• Expertise in NHL trading and broad sports-market knowledge covering NFL, NBA, MLB, NHL, NCAA football and basketball, soccer, and tennis.
• Strong mathematical, statistical, and/or analytical skills, including the ability to build and test betting models and calculate and convert odds and EV on the fly.
• Results-driven work ethic focused on improving process, results, and profitability.
• Availability to work flexible schedules, including nights, weekends, and holidays.

Nice To Haves

• Bachelor’s degree in a STEM, business analytics, sport management, or quantitative business field.
• Understanding of relational database systems such as MySQL and working SQL proficiency.
• Experience working with cross-functional teams; Data Science team experience is a plus.

Responsibilities

• Manage client risk and seek to maintain margins on Swish products through +EV decisions.
• Manage and oversee depth chart accuracy, making time-sensitive adjustments in prematch and in-play settings.
• Trade live, in-play markets in real time, adjusting prices as line movement, sharp action, and in-game events unfold, and manage exposure during high-liquidity, fast-moving windows.
• Research and track verified news sources to identify important news quickly and understand its impact on betting markets.
• Independently analyze betting trends through a scientific process and turn data into quantifiable trading actions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed