Quantitative Software Engineer

FanDuel•Jersey City, NJ

13h•$125,000 - $156,000•Hybrid

About The Position

As a Software Engineer on FanDuel’s Trading Solutions team, you will contribute to a cross-functional agile team building high-quality software that directly impacts the business. You will collaborate with teammates and stakeholders to develop solutions, scope effort and timelines, and balance customer priorities with engineering needs. Engineers own the full software delivery lifecycle, including testing, deployment, monitoring, and maintenance. You will work directly with quantitative analysts to improve FanDuel’s major U.S. sports platforms. You will develop expertise in price-modeling implementation and its place in the broader Risk and Trading landscape, and identify opportunities to apply technology to innovate in the quantitative domain. The role calls for an autonomous contributor who solves complex problems and builds stable, performant, maintainable software using appropriate technologies and best practices. Engineers participate in technical discussions, design and implement solutions, continuously improve systems and processes, and take ownership of the code they inherit and produce. On-call participation may be required.

Requirements

At least 3 years of industry experience in an engineering field, machine learning, data science, financial engineering, or statistics (stated as preferred).
Proficiency building services with a modern object-oriented programming language.
Fundamental understanding of data structures and algorithms.
Experience with cloud-based infrastructure and technologies.
Experience interacting with and designing relational databases.
Ability to document code, research, and designs clearly.
Ability to translate requirements into designs and develop applications.
Understanding of containers such as Docker and orchestration such as Kubernetes.
Experience with unit testing, testing tools, integration testing, and quality practices within a software development lifecycle.
Experience working in an Agile environment.
Creative problem-solving ability and interest in continuous learning and professional development.

Nice To Haves

Degree in Computer Science, Data Science, Engineering, Mathematics, Physics, or a related discipline (preferred).
C# experience.
C, C++, or Rust experience, including knowledge of performance, hardware, and lower-level memory management.
BuildKite or GitHub Actions knowledge.
Knowledge of infrastructure as code, particularly Terraform and Helm.
Experience with streaming technologies such as Kafka.

Responsibilities

Collaborate with stakeholders and peers on project ideas, requirements, and solutions.
Own parts of the product and technology and become a subject matter expert.
Design, build, test, deploy, monitor, and maintain high-quality software across the software delivery lifecycle.
Write simple, extensible code that follows standards and best practices, and test it thoroughly.
Balance customer requirements with team and engineering needs.
Participate in code reviews, design discussions, team planning, and ticket, metric, and COE reviews.
Classify, store, and handle data in accordance with FanDuel policies.
Track security risks and mitigate or escalate them in a timely manner.
Identify operational problems and propose solutions to improve operational excellence.
Deliver projects and software enhancements that improve team software and processes.
Resolve root causes of complex problems and leave software more maintainable.
Participate in an on-call rotation where required and provide customer support.
Keep up to date with market standards and open-source frameworks.
Identify opportunities to innovate in the quantitative space through technology.