Lead C++ Quant Analytics Library Architect

Socket.dev; New York (NY); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Fully-paid health care benefits

Generous parental and family leave 정책

Volunteer opportunities

Employee affinity groups support

Mental and physical wellness programs

Tuition assistance

401(k) savings with employer match

Job summary

Point72 is seeking a senior software engineer to lead the design, development, and expansion of a production C++ analytics library used across the firm's macro business.

You will work with quantitative researchers, traders, and technology partners to translate complex models into robust, high-performance library components, mentor engineers, and drive performance improvements across production analytics.

Qualifications

• 7+ years of experience building production quantitative analytics libraries in macro, trading, risk, pricing, or related financial markets environments.
• Deep expertise in modern C++, including C++20, templates, and generic programming.

Responsibilities

• Lead design and evolution of a production C++ analytics library used across macro business.
• Build pricing, calibration, curve construction, scenario, valuation, and risk analytics.
• Extend the library with major new components to improve architecture and long-term extensibility.
• Translate quantitative models into robust, high-performance library components.
• Partner with researchers, traders, risk users, and technology partners to deliver library capabilities.
• Provide technical judgement on library design, architecture, and maintainability.
• Contribute to releases, production support, and performance improvements.
• Investigate pricing and risk discrepancies and resolve issues with senior technical judgment.
• Mentor developers by sharing technical guidance.

Skills

C++20

Templates

Concurrency

Performance tuning

API design

Quant analytics

Communication

Job description

Point72 is seeking a senior software engineer to lead the design, development, and expansion of a production C++ analytics library used across the firm's macro business.

You will work with quantitative researchers, traders, and technology partners to translate complex models into robust, high-performance library components, mentor engineers, and drive performance improvements across production analytics.