NHL Trading Analyst

About the role

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. This position is 100% Remote.

Responsibilities

• 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
• Trade live, in-play markets in real time — adjusting prices on the fly as line movement, sharp action, and in-game events unfold, and managing exposure through high-liquidity, fast-moving windows
• 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

• Minimum of 3 years demonstrated sports trading or betting experience - this can come from time at an exchange, prediction market, independent/proprietary trading, or a documented track record of +EV, model-driven betting
• Deep understanding of sports betting, odds origination, and live in-play pricing dynamics
• High degree of expertise in NHL trading plus a broad sports market knowledge of NFL, NBA, MLB, NHL, NCAA Football/Basketball, soccer, and tennis
• Strong mathematical, statistical, and/or analytical skills - ability to build and test betting models, calculate and convert odds/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

Qualifications

• Bachelor's degree in a STEM, business analytics, or sport management/quantitative business field
• Understanding of relational database systems (MySQL) / working SQL proficiency
• Experience working with cross-functional teams (Data Science teams a plus)

Pay

Salary: $75,000 - DOE

Benefits

This is an opportunity to play a meaningful role in a growing and well-resourced sports trading operation. The successful candidate will help shape process, tooling, and decision-making within a team focused on high-quality pricing, efficient execution, and long-term product excellence across multiple sports verticals.