Software Engineer, Macro Quant Analytics Technology

Quant Library Developer Macro Technology.

A Career with Point72s TECHNOLOGY TEAM

As Point72 reimagines the future of investing our Technology team is constantly evolving our firms IT infrastructure and engineering capabilities positioning us at the forefront of a rapidly evolving technology landscape. Were 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 Point72s 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 youll 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.

Whats REQUIRED

• 310 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 industrys brightest talent by cultivating an investor-led culture and committing to our peoples long-term growth. For more information visithttps:// annual base salary range for this role is $245000-$300000 (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.