Trading Analyst

🔥 0 minutes ago

🌐 United Kingdom, Spain, +1 more countries – Remote

🇬🇧 United Kingdom – Remote 🇪🇸 Spain – Remote 🇲🇹 Malta – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Analyst

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Swish Analytics

WebsiteLinkedInAll Job Openings

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 • Research and track verified news sources to uncover important news and understand impacts on betting markets • Independently analyze betting trends scientifically and convert 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, NCAA Basketball, and NCAA Football • Strong mathematical, statistical, and/or analytical skills • Ability to understand, calculate, and 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 • Bachelor’s Degree in a STEM discipline preferred • Understanding of relational database systems, such as MySQL, 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