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Electronic Market Making Software Engineer (C++)

150 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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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