Requirements

• 3–10 years of experience developing production-quality backend software in C#, with a strong focus on distributed systems and APIs (REST/gRPC).
• Proven experience designing, deploying, and supporting backend services or platforms in cloud or hybrid environments.
• Strong understanding of distributed system design, including data modeling, consistency, and time-series or event-driven architectures.
• Hands-on experience with streaming and messaging systems, such as Kafka, and building scalable data pipelines with derived data generation and persistence.
• Familiarity with containerized environments, such as Kubernetes, and modern data and storage technologies.
• Solid grasp of SDLC best practices, including testing, code coverage, monitoring, and operational support in production systems.
• Experience with Python and exposure to C++, particularly in performance- or analytics-oriented contexts.
• Awareness of financial markets and instruments, including rates, FX, and derivatives, and how pricing and risk analytics are applied.
• Strong communication and collaboration skills, with the ability to work closely with investment professionals.
• Commitment to the highest ethical standards.

What you'll be doing

• Design, build, and extend core C# analytics services, APIs, and libraries used across the Macro business.
• Develop and operate high-performance distributed systems with strong guarantees around correctness, latency, and scalability.
• Build real-time and historical analytics services supporting pricing, risk, and global market data workflows.
• Design and maintain time-aware (historical and real-time) data models and services, ensuring consistency across analytics use cases.
• Develop and integrate derived data pipelines and datasets used in research, backtesting, and production analytics.
• Contribute to API design, data modeling, and system architecture for shared analytics platforms.
• Integrate analytics services with batch and streaming data pipelines across research and trading workflows.
• Partner closely with quants and portfolio managers to translate investment requirements into robust platform capabilities.
• Contribute to system reliability through testing, monitoring, and operational best practices.
• Participate in code reviews and technical discussions to improve design, performance, and maintainability.

Perks and Benefits

• Fully paid health care benefits
• Generous parental and family leave policies
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Mental and physical wellness programs
• Tuition assistance
• A 401(k) savings program with an employer match and more