обновлено 1 день назад
Electronic Market Making Software Engineer (C++)
150 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Electronic Market Making Software Engineer (C++): Architecting and building foundational high-performance trading infrastructure for a new ETF market-making business with an accent on low-level system design, concurrency, and memory management. Focus on developing bespoke trading systems and research infrastructure, optimizing low-latency components, and evolving the architecture for international ETF expansion.
Location: New York, NY, United States
Salary: USD 150,000–300,000 base salary per year, plus potential discretionary bonus.
Company
Global Banking & Markets division developing electronic market-making and quantitative engineering systems.
What you will do
- Architect and build foundational trading infrastructure for a multi-phase ETF initiative.
- Develop high-performance trading systems and data infrastructure from scratch using bespoke solutions.
- Design low-level systems covering memory management, concurrency, and performance optimization.
- Optimize high-volume, low-latency trading components and maintain research infrastructure for very large data inputs.
- Improve operational robustness and evolve the architecture for future phases, including international ETF expansion.
- Contribute to strategy decisions alongside software development in a collaborative engineering environment.
Requirements
- Bachelor’s or Master’s degree in a STEM discipline, preferably Computer Science, Physics, Mathematics, or Engineering.
- 5–10 years of experience developing software architecture in C/C++.
- Expert-level C++ proficiency is mandatory.
- Proven experience architecting and building high-performance trading systems and data infrastructure from scratch.
- Strong low-level system design skills, including memory management, concurrency, and performance optimization.
- Ability to maintain operational quality while delivering quickly in a fast-paced environment.
Nice to have
- Experience in telecom, physics research, or mathematics research environments.
- Experience building high-performance research infrastructure for very large datasets.
- Familiarity with statistics and data-science methodologies.
- Familiarity with Python and data-science packages such as NumPy and scikit-learn.
Culture & Benefits
- Small team with strong individual ownership and accountability.
- Open collaboration and transparent discussion of ideas.
- Direct involvement in both software and strategy development.
- Competitive benefits and wellness offerings for eligible US employees.
- Potential discretionary bonus for active employees at fiscal year-end.
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