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Point72

Manages alternative investments across global markets

Quant Library Developer - Macro Technology

Quantitative DevelopmentConfirmed live in the last 24 hours
Full-timeUnited StatesRemote

About the Job

Requirements

  • At least 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.

Responsibilities

  • Help design, develop, and evolve a Python-based analytics platform used across the 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.

About the Company

Point72

Manages alternative investments across global markets

Point72 manages alternative investment funds for investors seeking actively managed exposure to public and private markets. Its investment teams research companies, analyze market data and trade across equities, currencies, fixed income and other assets through fundamental, systematic and macro strategies. Cubist is its systematic investing business, while separate teams pursue venture capital and private credit opportunities. The firm provides portfolio managers with research, technology, risk management and operational support, and earns advisory fees and performance-based compensation under each fund's terms. Point72 was founded in 2014 and is headquartered in Stamford, Connecticut.

Company size
1,001-5,000
Company stage
Private
Total funding
$10.3B
Headquarters
Stamford, CT
Founded
2014

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