We are seeking a highly skilled and motivated Quantitative Researcher & Developer to join our dynamic team. You will play a crucial role in developing and maintaining high-performance trading systems, with a focus on low-latency strategies. The ideal candidate will have a strong background in quantitative finance, extensive experience as a researcher & developer in financial institutions, and proficiency in C++ programming.
Algorithmic Trading Development:
- Design, implement, and optimize algorithmic trading strategies with a specific emphasis on low-latency execution.
- Collaborate with quantitative researchers and traders to understand and implement trading strategies effectively.
- Develop and maintain high-performance trading systems using C++.
- Optimize code for low-latency and high-throughput requirements.
- Ensure code quality, reliability, and maintainability.
- Contribute to the design and architecture of low-latency systems to support high-frequency trading.
- Work closely with infrastructure teams to enhance the overall performance and reliability of the trading platform.
- Utilize quantitative skills to analyze market data, assess model performance, and enhance trading strategies.
- Implement risk management tools and protocols to ensure robustness in various market conditions.
Collaboration and Communication:
- Work collaboratively with cross-functional teams, including quantitative researchers, traders, and IT professionals.
- Communicate effectively to convey complex technical concepts to non-technical stakeholders.
Research and Development:
- Stay abreast of industry trends, technological advancements, and quantitative finance research.
- Contribute to the research and development of new trading strategies and technologies.
- Master's in a quantitative field such as Computer Science, Mathematics, Physics, or Finance.
- Proven experience as a Quantitative Developer in a financial institution or hedge fund.
- Expertise in C++ programming language, particularly in low-latency and high-throughput systems.
- Strong understanding of algorithmic trading strategies and financial markets.
- Familiarity with trading infrastructure, exchange connectivity, and market data feeds.
- Excellent problem-solving skills and attention to detail.
- Ability to work in a fast-paced, dynamic environment.