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Sports trading analyst

Girona
Swish Analytics
Publicada el 29 julio
Descripción

Join to apply for the Sports Trading Analyst role at Swish Analytics

Join to apply for the Sports Trading Analyst role at Swish Analytics

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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.

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

As a Trading Analyst, you will work in a geographically dispersed team setting based out of Malta or Spain with associated teams in the United States. The person in this role will work with a team Trading Analysts to provide 24 / 7 customer support to Swish clients. This is a fast-paced environment with experts in sports analytics, data science, data engineering, professional / college sports, and software engineering. This role will be responsible for day to day client support during off-peak hours in the USA. The person in this role will routinely be expected to work nights, weekends, and holidays. 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
* 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 :

* Bachelor's Degree; preference for STEM degree
* 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 :

* Passion and intimate knowledge of college football
* An understanding of relational database systems (MySQL)
* Experience working with cross functional teams (Data Science teams a plus)

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. Seniority level

* Seniority level Entry level

Employment type

* Employment type Full-time

Job function

* Job function Finance and Sales

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