обновлено 7 дней назад
Quantitative Developer (C++/Python)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Developer (C++/Python): Building and maintaining high-performance market data, order management, and trading systems with an accent on performance, scalability, and reliability. Focus on optimizing trading applications, designing robust system monitoring and testing, and integrating quantitative trading infrastructure with databases and market data sources.
Location: Hong Kong, Hong Kong
Company
is a global multi-strategy, multi-manager investment platform focused on quantitative trading, fundamental equity, tactical trading, and discretionary macro and fixed income.
What you will do
- Design, develop, and maintain high-performance market data, order management, and trading systems.
- Optimize existing software for improved performance and scalability.
- Test and monitor trading systems to ensure reliability and robustness.
- Participate in code reviews and contribute to software development best practices.
- Evaluate technologies and industry trends that can improve trading infrastructure.
Requirements
- Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of software development experience in the financial industry, such as proprietary trading, hedge funds, or investment banking.
- Proficiency in C++ and Python, with experience using SQL and KDB.
- Strong understanding of algorithms, data structures, and software design principles.
- Strong problem-solving, communication, teamwork, and attention-to-detail skills.
Nice to have
- Experience developing systematic trading systems.
- DevOps and continuous integration experience.
- Experience with risk reporting systems and pre-trade or post-trade troubleshooting.
- Experience accessing market data through Reuters, Bloomberg, and exchange-native protocols.
- Knowledge of AWS, Azure, machine learning, or data analysis techniques.
Culture & Benefits
- Collaborative, teamwork-oriented environment where ideas are encouraged at every level.
- Learning and educational opportunities for professional development.
- Opportunities to make an impact across proprietary technology, infrastructure, and risk analytics.
- Commitment to diversity, equity, inclusion, and a fair and supportive hiring process.
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