C# Macro Quant Analytics Engineer - Distributed Systems

Point72; New York (NY); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Fully-paid health care benefits

Generous parental leave

Mental wellness programs

Volunteer opportunities

401(k) with employer match

Tuition assistance

Affinity groups

Non-profit matching gifts

Job summary

Point72 is modernizing its technology stack and analytics capabilities in New York. The Technology team develops core C# analytics services, APIs, and data pipelines powering pricing, risk and market data workflows.

You will join a team that builds high-performance distributed systems in cloud/hybrid environments, collaborating with quants and portfolio managers to deliver scalable platform capabilities. This role offers strong growth in a fast-paced financial technology setting.

Qualifications

• 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.

Responsibilities

• 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 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.

Skills

C#

Distributed systems

REST/GRPC APIs

Kafka

Kubernetes

Python

C++

Data modeling

Communication

Ethics

Tools

Docker

Job description

Point72 is modernizing its technology stack and analytics capabilities in New York. The Technology team develops core C# analytics services, APIs, and data pipelines powering pricing, risk and market data workflows.

You will join a team that builds high-performance distributed systems in cloud/hybrid environments, collaborating with quants and portfolio managers to deliver scalable platform capabilities. This role offers strong growth in a fast-paced financial technology setting.