Quant Library Developer, Macro Technology

Overview

Help design, develop and evolve a Python-based analytics platform used across Point72's macro business, including the APIs and user-facing interfaces that expose pricing, calibration, curve construction, scenario, valuation and risk analytics.

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.

What you'll need

• 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.

Details

• Location: United States.
• Annual base salary range: $200,000-$300,000 (USD), excluding discretionary bonus and benefits; actual offer may vary based on location, experience, education and/or skill level.