Quantitative Software Engineer

What you'll do

• Implement price modeling and quantitative solutions for major US sports platforms.
• Design, build, and maintain stable, performant, and scalable software services.
• Own the full software delivery lifecycle including testing, deployment, and monitoring.
• Translate complex requirements into technical designs and extendable code.
• Identify and innovate new opportunities within the quantitative space through technology.
• Resolve root causes of complex problems to improve system maintainability.
• Participate in code reviews, design discussions, and team planning sessions.
• Track security risks and mitigate them in a timely manner.

What we're looking for

• Degree in Computer Science, Data Science, Engineering, Mathematics, Physics, or related discipline (preferred).
• 3 or more years of industry experience in Engineering, Machine Learning, Data Science, Finance Engineering, or Statistics (preferred).
• Proficient in building services with a modern OOP language (C# experience is beneficial).
• Understanding of performance, hardware, and lower-level memory management (C, C++, or Rust experience is beneficial).
• Fundamental understanding of data structures and algorithms.
• Experience working with cloud-based infrastructure, CI/CD pipeline tooling, and containers like Docker and Kubernetes.
• Experience interacting and designing relational databases.
• Experience with unit testing, testing tools, and integrating best-quality practices into an SDLC.