Software Engineer, Macro Quant Analytics Technology

Point72 Asset Management, L.P; New York (NY); On-site; USD 245,000 - 300,000; Full time

Benefits offered by this job

Fully-paid health care benefits

Generous parental and family leave

Mental and physical wellness programs

Volunteer opportunities

Non-profit matching gifts

Employee affinity groups support

Tuition assistance

401(k) with employer match

Job summary

Point72 Asset Management, L.P is seeking a backend engineer to design, build, and operate highly scalable analytics services in C# across the Macro business. You will work on real-time and historical data pipelines, APIs, and distributed systems, collaborating with quants and portfolio managers to translate investment requirements into robust platform capabilities.

Join a team advancing AI-enabled analytics, cloud architectures, and enterprise agile methodologies while maintaining a strong focus

Qualifications

• 3–10 years of experience developing production-quality backend software in C#, with a focus on distributed systems and APIs (REST/gRPC).
• Proven experience designing, deploying, and supporting backend services in cloud or hybrid environments.
• Strong understanding of distributed system design, data modeling, and time-series/event-driven architectures.
• Hands-on experience with streaming and messaging systems (e.g., Kafka) and scalable data pipelines.
• Familiarity with containerized environments (Kubernetes) and modern data/storage technologies.
• Proficiency with SDLC, testing, monitoring, and production-support practices.

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 correctness, low latency, and scalability.
• Build real-time and historical analytics services supporting pricing, risk, and market data workflows.
• Maintain time-aware data models and services for analytics use cases.
• Develop and integrate derived data pipelines and datasets 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 through testing, monitoring, and operational best practices.
• Participate in code reviews and technical discussions to improve design and performance.

Skills

Backend C#

Distributed systems

APIs REST/gRPC

Cloud environments

Kafka streaming

Kubernetes

SDLC practices

Testing & monitoring

Python

C++ exposure

Tools

Kafka

Kubernetes

Job description

A Career with Point72's Technology Team

As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm's IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We're a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point72's Technology team, we encourage and support your professional development from day one, helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity; all while delivering real business impact for our multi-billion-dollar global business.

What you'll do

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.

What's required

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.

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

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

About Point72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry's premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We're inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here

The annual base salary range for this role is $245,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.