Quantitative Software Engineer
FanDuel · Jersey City, New Jersey, United States
About this role
**Quantitative Software Engineer — FanDuel (Trading Solutions)** ## The Position Join FanDuel’s Trading Solutions team as a Software Engineer on a cross-functional agile team. You’ll help scope effort and timelines, balance stakeholder priorities with engineering needs, and own software delivery end-to-end—testing, deploying, monitoring, and maintaining. You’ll work closely with quantitative analysts to improve major US sports platforms. You’ll be a domain expert in **price modeling implementation** and how it fits into the broader **Risk and Trading** landscape—going beyond pure software development to identify and drive quantitative innovation through technology. ## The Game Plan - Significant, autonomous contribution with consistently high-quality work - Solve difficult problems using appropriate technologies and best practices - Build stable, performant software; limit short-term workarounds - Create flexible solutions without over-engineering; make sound trade-offs - Reuse where possible and be judicious with dependencies - Be efficient with resources (hardware, DB, memory/CPU) - Engage in technical discussions, design/implement solutions, and drive continuous improvements - Actively participate in learning and professional development ### What you’ll do - Collaborate with stakeholders and peers on project ideas - Own parts of product/technology and become a subject matter expert - Write simple, extendable code; test thoroughly - Balance customer requirements with team requirements - Participate in code reviews, design discussions, planning, and ticket/metric/COE reviews - Classify, store, and handle data in accordance with FanDuel policies - Track security risks and mitigate/escalate in a timely manner - Focus on operational excellence by identifying problems and proposing solutions - Take on projects and deliver software/process improvements - Resolve root causes of complex issues, leaving software better and easier to maintain - Participate in on-call rotation where required and provide excellent customer support - Stay current with market standards and open-source frameworks ## The Stats (Qualifications) - Degree in Computer Science, Data Science, Engineering, Mathematics, Physics, or related discipline (preferred) - 3+ years of industry experience in Engineering, Machine Learning, Data Science, Finance Engineering, or Statistics (preferred) - Proficiency building services with a modern OOP language (C# experience beneficial) - Understanding of performance, hardware, and lower-level memory management (C/C++/Rust beneficial) - Fundamental understanding of data structures and algorithms - Experience with CI/CD tooling (Buildkite and GitHub Actions knowledge beneficial) - Experience with cloud-based infrastructure and technologies - Infrastructure as code knowledge (Terraform, Helm) is a plus - Experience interacting with and designing relational databases - Streaming tech experience (e.g., Kafka) is a plus - Ability to document code, research, and designs clearly - Ability to translate requirements into design and develop applications - Understanding of containers (Docker) and orchestration (Kubernetes) - Experience with unit testing and integrating testing best practices into the SDLC - Experience working in an Agile environment ## About FanDuel FanDuel Group is a leading mobile gaming company across the US and Canada, including FanDuel Sportsbook, FanDuel Casino, FanDuel Racing, and daily fantasy sports—plus FanDuel TV an
Listing freshness
CronJobs last confirmed this listing 1h ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.