FanDuel is seeking a Software Engineer to join their Trading Solutions team to improve major US sports platforms and contribute to the development of high-quality software solutions for their risk and trading landscape.
Requirements
- 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 CI/CD pipeline tooling (BuildKite and GitHub Actions knowledge is beneficial).
- Experience working with cloud-based infrastructure and technologies.
- Knowledge of infrastructure as code, notably Terraform and Helm.
- Experience interacting and designing relational databases.
Responsibilities
- Work directly with quantitative analysts to improve major US sports platforms.
- Act as a domain expert on price modeling implementation and its integration into the Risk and Trading landscape.
- Identify opportunities in the quantitative space to innovate through technology.
- Write simple and extendable code following standards and best practices, and test code thoroughly.
- Track security risks and mitigate and/or escalate them in a timely manner.
- Focus on operational excellence by identifying problems and proposing solutions.
- Take on projects and make software enhancements that improve team software and processes.
Other
- Degree in Computer Science, Data Science, Engineering, Mathematics, Physics, or related discipline.
- 3 or more years of industry experience in an Engineering field, Machine Learning, Data Science, Finance Engineering, or Statistics.
- Ability to document code, research, and designs clearly.
- Proficiency in translating requirements into design and developing applications.
- Experience working in an Agile environment.
