Trading Analyst

🕒 July 8

🏄 California – Remote

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💵 $65k / 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

🎲 Gambling

🤖 Artificial Intelligence

🤝 B2B

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

Gambling • Artificial Intelligence • B2B

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, 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 • 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 of in-game play experience at an online sportsbook • Deep understanding of sports betting and odds origination • Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football • Strong mathematical, statistical, and/or analytical skills – ability to understand and calculate + convert odds on the fly • Results driven work ethic – focused on improving process, results and profitability • Availability to work flexible schedules, including nights, weekends and/or holidays • Preferred: Bachelor’s Degree in a STEM discipline • An understanding of relational database systems (MySQL) • Experience working with cross functional teams (Data Science teams a plus)

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