Teams at Swish Analytics

Manage NHL and multi-sport betting risk, pricing, exposure, and live in-play markets. Monitor depth charts, news, betting trends, line movement, and game events to make data-driven trading decisions. Build and test betting models, calculate odds and expected value, and improve profitability. Requires flexible scheduling, including nights, weekends, and holidays, with collaboration across trading and data science teams.

Support and grow B2B customer relationships in the sports betting and fantasy sector. Manage client inquiries, troubleshoot technical issues involving APIs and data feeds, guide onboarding and product adoption, identify retention opportunities, and relay feedback to Trading, Product, Engineering, and Data Science teams. Maintain documentation and improve Customer Success processes while developing expertise in sports betting markets and Swish Analytics products.

Build and operate low-latency, real-time data and ETL pipelines for sports analytics products. Support production systems during live events, develop predictive analytics and APIs, and integrate complex real-time datasets into consumer and enterprise offerings.