Swish Analytics

Analytics Engineer

• Investigate individual incidents and requests end-to-end using raw production data and systems to determine root cause and recommend resolution
• Build and maintain metrics measuring system health and performance over time using statistical methods
• Produce clear descriptive reporting for stakeholders
• Contribute to the team's core framework and tooling to make investigation and measurement more repeatable
• Operate independently on ambiguous, partially-scoped problems
• Identify and collaborate with data science, engineering, and trading partners when problems cross team boundaries
• Work with real-time, event-driven data to reconstruct and explain system behavior during live events

Analyst

• Manage client risk and ensure the highest margins on Swish products through +EV decisions
• Manage and oversee depth chart accuracy
• Make time-sensitive adjustments in prematch and in-play settings
• Strategically research and track verified news sources
• Identify important news and understand its impact on betting markets
• Independently analyze betting trends scientifically
• Turn data into quantifiable trading actions

Trading Analyst

• Manage client risk and ensure the highest margins on Swish products through +EV decisions
• Manage and oversee depth chart accuracy, making time-sensitive adjustments in prematch and in-play settings
• Trade live, in-play markets in real time by adjusting prices as line movement, sharp action, and in-game events unfold
• Manage exposure through high-liquidity, fast-moving windows
• Research and track verified news sources to uncover important news and understand its impact on betting markets
• Analyze betting trends using a scientific process and turn data into quantifiable trading actions
• Help shape process, tooling, and decision-making within the sports trading operation

Analytics Engineer

Trading Analyst

NHL Trading Analyst