обновлено 1 час назад
Software Engineer, Trading Systems (C++)
120 000 - 285 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Trading Systems (C++) (C++/quantitative trading): Building and evolving high-performance trading infrastructure for market data collection, signal processing, order routing, research, simulation, and production trading with an accent on low-latency systems, execution platforms, and scalable data access. Focus on designing systems-level software, translating quantitative models into production systems, and solving complex performance, monitoring, and risk-management challenges.
Location: New York, United States; hybrid working opportunities available
Annual base salary: $120,000–$285,000, plus eligibility for a discretionary bonus
Company
Quantitative trading firm building high-performance electronic trading infrastructure and supporting independent systematic trading teams.
What you will do
- Architect and evolve trading platforms for quantitative research, simulation, and production trading.
- Design high-performance systems for collecting market data, processing trading signals, and routing orders to global exchanges.
- Build research, backtesting, simulation, analytics, risk-management, monitoring, and performance-attribution tools.
- Collaborate with quantitative researchers, traders, and engineers to translate models into robust production systems.
- Optimize systems through low-latency software design, network programming, performance analysis, and systems-level engineering.
- Investigate trading, execution, and market-data issues and contribute to shared platforms across research, development, and trading.
Requirements
- Degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field.
- Strong foundation in algorithms, data structures, distributed systems, and software design.
- Excellent C++ programming skills; experience with Python is strongly preferred.
- Experience building high-performance systems, data-intensive applications, or low-latency software.
- Interest in financial markets, systematic trading, and quantitative research workflows.
- Strong analytical, problem-solving, communication, and collaboration skills.
Nice to have
- Experience with market data systems, exchange connectivity, or electronic trading platforms.
- Experience with research platforms, backtesting systems, simulation frameworks, or quantitative analytics tools.
- Familiarity with statistical analysis, machine learning, or quantitative modeling.
- Experience with Linux, distributed systems, Python, or Rust.
Culture & Benefits
- Hybrid working opportunities and a collaborative, low-hierarchy workplace.
- Generous paid time off and regional savings and financial wellness plans.
- Daily breakfast, lunch, and snacks.
- Wellness reimbursement, in-office wellness experiences, company-sponsored sports teams, and fitness events.
- Volunteer opportunities, charitable giving, social events, and continuous learning workshops.
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