NHL Trading Analyst

Company Overview

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.

Job Description - This position is 100% Remote

Duties:

• 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

Preferred:

• 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)

Salary: $75,000 - DOE

Why Join:

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.

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.