Head of Engineering (Co-founder) - Prediction Markets
Sports Trading Firm, New York, NY, United States
Description
Building an institutional trading firm and liquidity provider for prediction markets. You will work alongside our CEO and Head of Quantitative Research. Only apply if you're
based in New York, NY .
Responsibilities
The Software Engineer will lead the build out of production grade trading infrastructure, including;
Build trading infrastructure from real-time data ingestion through execution and risk management.
Build exchange integrations for ingesting order books, trades, and market data across multiple venues.
Build real-time data pipelines to integrate sports and other event data from major U.S. sports leagues.
Productionize quantitative models for event-driven markets with continuously changing game states.
Qualifications
Experience building real-time data pipelines, exchange APIs, and financial infrastructure
Strong proficiency in Python; experience with C++, Rust, Java, or similar languages is ideal
Experience with sports data and analytics is preferred, but not required
Bachelor’s, Master’s, or PhD degree in computer science or related fields
Building an institutional trading firm and liquidity provider for prediction markets. You will work alongside our CEO and Head of Quantitative Research. Only apply if you're
based in New York, NY .
Responsibilities
The Software Engineer will lead the build out of production grade trading infrastructure, including;
Build trading infrastructure from real-time data ingestion through execution and risk management.
Build exchange integrations for ingesting order books, trades, and market data across multiple venues.
Build real-time data pipelines to integrate sports and other event data from major U.S. sports leagues.
Productionize quantitative models for event-driven markets with continuously changing game states.
Qualifications
Experience building real-time data pipelines, exchange APIs, and financial infrastructure
Strong proficiency in Python; experience with C++, Rust, Java, or similar languages is ideal
Experience with sports data and analytics is preferred, but not required
Bachelor’s, Master’s, or PhD degree in computer science or related fields