Quant Library Developer, Macro Technology

Skills this role screens for

About the role

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.

The work

What you’ll do

• Help design, develop, and evolve a Python-based analytics platform used across our macro business.
• Shape Python APIs and user-facing interfaces that provide access to pricing, calibration, curve construction, scenario, valuation, and risk analytics across macro products and related derivatives.
• Design and deliver robust service interfaces and APIs that connect users, applications, and downstream systems to production analytics capabilities.
• Build and maintain analytics workflows, ensuring traders, quantitative researchers, and risk users can access analytics through practical, reliable, and well-designed spreadsheet interfaces.
• Work closely with quantitative researchers, traders, risk users, and technology partners to understand workflows, translate requirements into clean platform capabilities, and improve how users interact with analytics.
• Partner with C++ analytics engineers and quantitative developers to expose production analytics through stable Python APIs, services, and front-end integration points.
• Offer technical expertise on API design, service architecture, interface design, performance, reliability, and long-term maintainability.
• Contribute to releases, production support, performance improvements, and the investigation of analytics, integration, pricing, or risk discrepancies.
• Provide technical guidance and mentorship to developers when appropriate.

Also

What’s REQUIRED

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:

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 $200,000-$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.

• 7+ years of experience developing and supporting production Python platforms, APIs, services, or analytics applications in macro, trading, risk, pricing, or related financial markets environments
• Experience building or integrating with service-oriented platforms, including practical exposure to gRPC, Protocol Buffers, service contracts, versioning, backward compatibility, and production service support.
• Strong Excel skills, including experience supporting business-critical spreadsheet workflows for trading, risk, analytics, pricing, or related financial markets use cases.
• Experience integrating Python applications with lower-level analytics libraries, services, data platforms, or other production systems.
• High-level understanding of quantitative analytics concepts such as pricing, valuation, calibration, curve construction, scenarios, sensitivities, and risk, with the ability to work closely with quantitative researchers on model-driven requirements.
• Experience improving the performance and reliability of data-intensive or analytics-driven Python systems, including profiling, caching, asynchronous execution, scalable computation, and production troubleshooting.
• Strong communication skills and the ability to collaborate effectively with quantitative researchers, traders, risk users, and technology partners.
• Commitment to the highest ethical standards.
• 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