NHL Trading Analyst

🔥 14 hours ago

🏄 California – Remote

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💵 $75k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Analyst

🦅 H1B Visa Sponsor

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Logo of Swish Analytics

Swish Analytics

11 - 50 employees

Founded 2014

💼 Consulting

📣 Marketing

🎲 Gambling

💰 $6.9M Series B - Swish Analytics on 2019-05

Consulting • Marketing • Gambling

Swish Analytics is a machine-learning driven sports-odds and predictive-data company that builds a real-time odds origination engine for sportsbooks and fantasy platforms. It provides hyper-accurate player prop pricing, match and team markets, in-play and pre-game projections, and automated bet-lifecycle management to power bookmaking, bet builders, parlays, and micro-markets. Swish positions itself as a B2B provider focused on automation, accuracy, and scalable odds infrastructure for the sports betting industry.

📋 Description

• Manage client risk and ensure the highest 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 by adjusting prices as line movement, sharp action, and in-game events unfold • Manage exposure through high-liquidity, fast-moving windows • Research and track verified news sources to uncover important news and understand its impact on betting markets • Analyze betting trends using a scientific process and turn data into quantifiable trading actions • Help shape process, tooling, and decision-making within the sports trading operation

🎯 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 degree of expertise in NHL trading plus 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 • Ability to 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 • Bachelor's degree in a STEM, business analytics, or sport management/quantitative business field preferred • Understanding of relational database systems (MySQL) / working SQL proficiency preferred • Experience working with cross-functional teams preferred • Data Science team experience is a plus • Successful completion of background and reference checks may be required

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