Swish Analytics

170 Total Employees
Year Founded: 2014

Teams at Swish Analytics

2 Days AgoSaved
In-Office or Remote
4 Locations
Artificial Intelligence • Machine Learning • Sports • Analytics
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.
18 Days AgoSaved
In-Office or Remote
4 Locations
Artificial Intelligence • Machine Learning • Sports • Analytics
Monitor live sports markets and support real-time price discovery, risk management, and trading operations. Calibrate prices using market signals and statistical models, identify trading signals and inefficiencies, manage exposure and liabilities, and collaborate with engineers and data teams to improve pricing infrastructure, automation, and model feedback loops.