Data Scientist
Develop infrastructure for trader automation and high-performance systems to optimize simulation outputs. Analyze live-streaming data to build, test, and deploy production-grade machine learning models.
Develop infrastructure for trader automation and high-performance systems to optimize simulation outputs. Analyze live-streaming data to build, test, and deploy production-grade machine learning models.
Manage client risk and ensure high margins through +EV decisions while overseeing depth chart accuracy. Independently analyze betting trends and research verified news sources to inform quantifiable trading actions.
The Data Engineer will architect low-latency, real-time analytics systems and build new sports betting data products. They will also support production systems, triage issues during live sporting events, and integrate complex datasets into enterprise-grade APIs.
Architect and build low-latency, real-time analytics systems and sports betting data products. Support production systems and develop enterprise-grade APIs for predictive analytics delivery.
Manage client risk and ensure high margins through positive expected value decisions and depth chart accuracy. Research news sources and analyze betting trends to execute quantifiable trading actions.
Monitor live sports markets and refine pricing models using statistical analysis and market signals. Manage real-time trading risk and collaborate with engineering teams to improve pricing infrastructure and execution tools.