Macro Analytics Backend Engineer (C#, Real-Time Data)

Aplaro Ltd; New York (NY); On-site; USD 245,000 - 300,000; Full time

Benefits offered by this job

Fully paid health care benefits

Generous parental leave

Volunteer opportunities

Wellness programs

Tuition assistance

401(k) with employer match

Job summary

Point72 seeks a Quant Library Developer within Macro Technology in the United States. You will design and extend core C# analytics services and APIs used across the Macro business, building high-performance distributed systems for real-time and historical analytics.

You will work with Python and have exposure to C++, focusing on data pipelines, time-series data models, and scalable engineering for pricing and risk workflows.

Qualifications

• 3–10 years of production-quality backend software development in C#, focusing on distributed systems and APIs (REST/gRPC).
• Experience deploying and supporting backend services or platforms in cloud/hybrid environments.
• Strong understanding of distributed system design, data modeling, consistency, and time-series/event-driven architectures.
• Hands-on with streaming/messaging systems like Kafka and building scalable data pipelines.
• Familiarity with containers (Kubernetes) and modern data/storage tech.
• SDLC practices including testing, monitoring, and production support.
• Experience with Python and exposure to C++, esp. in performance/analytics contexts.
• Awareness of financial markets/instruments and pricing/risk analytics.
• Strong communication and collaboration with investment professionals.
• Commitment to high ethical standards.

Responsibilities

• Design, build, and extend core C# analytics services, APIs, and libraries used across the Macro business.
• Operate high-performance distributed systems with focus on correctness, latency, and scalability.
• Build real-time and historical analytics services for pricing, risk, and market data workflows.
• Design time-aware data models and services ensuring consistency across analytics use cases.
• Develop and integrate derived data pipelines for 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.
• Collaborate with quants and portfolio managers to translate investment requirements into platform capabilities.
• Contribute to system reliability via testing, monitoring, and operational best practices.
• Participate in code reviews and technical discussions to improve design and performance.

Skills

C# backend

Distributed systems

APIs REST/gRPC

Python

C/C++ familiarity

Kafka

Kubernetes

Data modeling

Time-series analytics

SDLC & production support

Tools

Kafka

Kubernetes

Job description

Point72 seeks a Quant Library Developer within Macro Technology in the United States. You will design and extend core C# analytics services and APIs used across the Macro business, building high-performance distributed systems for real-time and historical analytics.

You will work with Python and have exposure to C++, focusing on data pipelines, time-series data models, and scalable engineering for pricing and risk workflows.