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Swish Analytics
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  • Trading Analyst  

    - London
    Swish Analytics is a sports analytics, betting and fantasy startup bui... Read More
    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 deliver odds origination, risk management & trading software for the core four U.S. sports.

    Company OverviewSwish 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 from Malta, Spain, or UKDuties:Manage client risk, ensuring the highest margins on Swish products through +EV decisionsManage and oversee depth chart accuracy, making time-sensitive adjustments in both prematch & in-play settingsStrategically research & track verified news sources, being the first to uncover important news and understand the overall impact on betting marketsIndependently analyze betting trends in a scientific process, turning data into quantifiable trading actionsRequirements:Minimum of 3 years of in-game play experience at an online sportsbookDeep understanding of sports betting and odds originationPassion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + FootballStrong mathematical, statistical, and/or analytical skills – ability to understand and calculate + convert odds on the flyResults driven work ethic – focused on improving process, results and profitabilityAvailability to work flexible schedules, including nights, weekends and/or holidaysPreferred: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)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. Read Less
  • Soccer Data Scientist - Europe  

    - London
    Swish Analytics is a sports analytics, betting and fantasy startup bui... Read More
    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 deliver odds origination, risk management & trading software for the core four U.S. sports.

    Company Description 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 DescriptionSwish Analytics is hiring Soccer Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products.  We're hiring a Data Scientist to support our Sports Data Models.Duties:Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products.Develop contextualized feature sets using specific domain knowledge in soccer.Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.Strive to constantly improve model performance using insights from rigorous offline and online experimentation.Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.Adhere to software engineering best practices and contribute to shared code repositories.Document modeling work and present to stakeholders and other technical and non-technical partners.Requirements:Masters degree in Data Analytics, Data Science, Computer Science or related technical subject areaDemonstrated experience developing models at production scale for soccer or sports bettingExpertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methodsMinimum of 3+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports bettingExperience with relational SQL & PythonExperience with source control tools such as GitHub and related CI/CD processesExperience working in AWS environments etcProven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutionsExcellent communication skills to both technical and non-technical audiencesSwish 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. Read Less

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Astrid-Lindgren-Weg 12 38229 Salzgitter Germany