We are looking for experienced Quantitative Developers to join a "mixed frequency" research group (horizons range from many minutes to many days). It's a flat, fast moving, collaborative environment where each member has agency, and of whom much is expected. The team is global, as is the research and development. What You'll Do: - You'll contribute to one or more of the following projects: - Production Trading Systems and Live Operations: Own the reliability, observability, and operational performance of the firm's live trading environment during market hours. Monitor live systems in real time, act as a primary responder to production issues, and work closely with quantitative researchers and engineers to investigate, mitigate, and resolve incidents affecting trading, risk, or system stability. - Production Tooling, Deployment, and Operational Safety: Build and improve internal tools, dashboards, alerts, and automation to support live trading operations and reduce manual intervention. Design and maintain robust testing, deployment, rollout, and rollback processes for production changes, and strengthen production safety through health checks, failover mechanisms, and operational controls. - Microstructure research: Develop tools to enhance research on market microstructure, collaborating with researchers to generate and analyze key features. - Data Pipeline and System Management: Engage in full-cycle development, including research, coding, testing, and deploying systems into production. Provide direct support to end users, troubleshoot issues, and manage system upgrades. Skills You'll Need: - 2+ year track record of solving challenging problems through coding with real metrics & impact in industry. - Strong software development skills in Python and/or C++, with the ability to build efficient, modular, and reliable systems. - Strong production engineering skills in Linux environments, including troubleshooting, scripting, monitoring, and operating real-time systems under pressure. - Experience with modern infrastructure and deployment practices such as CI/CD, Infrastructure as Code, containerization, and observability tooling is advantageous (e.g. GitLab, Jenkins, Terraform, Ansible, Docker, Kubernetes, Prometheus, Grafana). - Strong learning ability, intellectual curiosity, versatility, and originality combined with a pragmatic outlook. - Ability to reason through quantitative problems and communicate effectively with quantitative researchers and engineers. - Reliable and predictable availability to ensure smooth operations of production systems, including responsiveness during trading hours when needed. - Over two years of experience working with industrial-grade codebases using compiled languages such as C++ is advantageous. - Familiarity with high-performance computing (HPC) and distributed large-scale systems is a plus. Benefits - Discretionary bonus eligibility - Medical, dental, and vision insurance - HSA, FSA, and Dependent Care options - Employer Paid Group Term Life and AD&D Insurance - Voluntary Life & AD&D insurance - Paid vacation plus paid holidays - Retirement plan with employer match - Paid parental leave - Wellness Programs Annual Base Salary Range $200,000-$250,000 USD