Teams at Swish Analytics

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.

Analyze factor usage and market data to detect simulation impacts, design tests, build and improve machine learning and statistical models for sports betting, develop sports-specific features, run offline/online experiments, and collaborate with engineering and product teams to deploy models.

Manage client risk and betting margins, maintain depth charts, monitor news and betting markets, and convert betting data into quantitative trading actions for prematch and in-play markets.