Software Engineer, Macro Quant Analytics Technology

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

Quant Library Developer, Macro Technology.

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
• 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

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/ . 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.