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Swish Analytics

Data analytics for sports betting predictions

Trading Analyst

Risk ManagementConfirmed live in the last 24 hours
Full-timeRemote in PhilippinesNo salary listed

About the Job

Requirements

  • At least 3 years of in-game play experience at an online sportsbook.
  • Deep understanding of sports betting and odds origination.
  • Passion for and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA basketball and football.
  • Strong mathematical, statistical, and/or analytical skills, including the ability to understand and calculate and convert odds quickly.
  • Availability to work flexible schedules, including nights, weekends, and/or holidays.

Responsibilities

  • Manage client risk to ensure the highest margins on Swish products through positive expected value decisions.
  • Manage and oversee depth chart accuracy, making time-sensitive adjustments in prematch and in-play settings.
  • Strategically research and track verified news sources, uncovering important news early and understanding its overall impact on betting markets.
  • Independently analyze betting trends using a scientific process and turn data into quantifiable trading actions.

Desired Qualifications

  • A Bachelor's degree in a STEM discipline.
  • Experience working with cross-functional teams; experience with Data Science teams is a plus.

About the Company

Swish Analytics

Data analytics for sports betting predictions

Swish Analytics provides data analytics for sports betting and daily fantasy sports, offering algorithm-driven predictions and ROI-focused insights for operators and bettors, anchored by its status as an Authorized MLB Data Distributor. Its product ingests sports data, runs predictive algorithms, and delivers insights through configurable dashboards and tools, with subscriptions that let customers integrate analytics into their betting or fantasy workflows. The company differentiates itself through MLB data partnerships, a strong focus on value bets and ROI, and customizable analytics for both operators and fans across NBA, NFL, MLB, and NHL. Its goal is to help users make smarter, data-driven bets and decisions by providing accurate predictive insights and reliable analytics in the sports betting and fantasy spaces.

Company size
51-200
Company stage
Early VC
Total funding
$6.7M
Headquarters
San Francisco, CA
Founded
2014

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