Software Engineer, Macro Quant Analytics Technology
Point72 Asset Management - New York; London
Posted Jul 10, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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Schedule
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- Weekend work
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Where they hire
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About this role
Software Engineer, Macro Quant Analytics Technology New York; London 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
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