GrepJob
Point72

Software Engineer, Macro Quant Analytics Technology

Point72
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3 days ago
New York, NY, USAMid Level / Senior

Base Salary

$245k - $300k/yr

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.

Requirements

  • 3–10 years of experience developing production-quality backend software in C#, focusing on distributed systems and APIs.
  • Proven experience designing, deploying, and supporting backend services or platforms in cloud or hybrid environments.
  • Strong understanding of distributed system design, including data modeling and event-driven architectures.
  • Hands-on experience with streaming and messaging systems, such as Kafka, and building scalable data pipelines.
  • Familiarity with containerized environments, such as Kubernetes, and modern data and storage technologies.
  • Solid grasp of SDLC best practices, including testing, code coverage, 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.
  • Strong communication and collaboration skills, with the ability to work closely with investment professionals.
  • Commitment to the highest ethical standards.

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.

Tech Stack

Apache KafkaC#C++gRPCKubernetesPython

Categories

AI & MLBackendData EngineeringTesting