Jobs at Swish Analytics

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.

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.

Develop, validate, and deploy machine learning and statistical models for soccer betting products. Create soccer-specific features, run offline and online experiments, collaborate with data engineering and product teams, follow software engineering best practices, document work, and present findings to technical and non-technical stakeholders.