Trading Analyst

🕒 August 17

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

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

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Analyst

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Swish Analytics

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎲 Gambling

🎮 Gaming

⚽ Sports

💰 $6.9M Series B on 2019-05

Gambling • Gaming • Sports

Swish Analytics is a company that specializes in machine learning for US sports betting and fantasy sports. They deliver accurate, algorithm-driven predictions and tools to help improve betting strategies across major sports leagues such as the NBA, NFL, MLB, and NHL. Swish Analytics offers tools like lineup optimizers for daily fantasy sports and is an Authorized MLB Data Distributor to U. S. sports betting operators. Their team consists of data scientists, machine-learning engineers, and developers dedicated to providing powerful analytics and innovative solutions for the sports betting and gaming 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

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