Job Description
As a core member of the trading technology team, you will be responsible for the development, optimization, and maintenance of high-performance trading systems. This role requires a deep understanding of financial markets and quantitative trading principles, with a focus on enhancing system efficiency, ensuring operational stability, and supporting scalable architecture. You will work closely with cross-functional teams to deliver robust solutions that meet evolving business needs while maintaining compliance with industry standards.
Key Responsibilities
- Design, develop, and continuously improve trading systems to achieve optimal speed, stability, and scalability, including performance tuning, code refactoring, and architecture optimization
- Implement quantitative trading systems from concept to deployment, ensuring seamless integration with existing infrastructure and adherence to risk management protocols
- Research and develop advanced quantitative trading strategies, utilizing statistical analysis and machine learning techniques to identify market opportunities
- Build and maintain real-time and backtesting engines for strategy validation, including data processing pipelines and execution frameworks
- Collaborate with data scientists and traders to translate market insights into executable trading algorithms
- Monitor system performance metrics and implement improvements to ensure reliable, high-throughput trading operations
- Document technical specifications, design decisions, and system workflows for internal knowledge sharing and onboarding
- Participate in system stress testing and capacity planning to ensure robustness under extreme market conditions
- Stay updated on emerging technologies and industry trends to identify opportunities for system modernization
- Provide technical support and troubleshooting for trading system issues during market hours and after-hours maintenance windows
Job Requirements
- Master's degree in Computer Science, Mathematics, or related field with 5+ years of experience in trading systems development
- Proficiency in C++/Python for high-performance computing tasks and algorithm development
- Experience with distributed systems architecture and microservices design patterns
- Strong understanding of financial market data structures and order book mechanics
- Knowledge of low-latency networking protocols and message queue systems (e.g., Kafka, RabbitMQ)
- Experience with SQL/NoSQL databases for storing and retrieving market data and trade records
- Ability to design and implement real-time data processing pipelines using technologies like Apache Flink or Spark Streaming
- Working knowledge of quantitative finance concepts including stochastic calculus, risk modeling, and portfolio optimization
- Excellent problem-solving skills with proven ability to debug complex system issues under pressure
- Strong communication skills to effectively collaborate with traders, data scientists, and product managers
- Experience with version control systems (e.g., Git) and agile development methodologies
- Preferred: Certification in quantitative trading (e.g., CFA, FRM) or experience with blockchain-based trading platforms
- Preferred: Familiarity with cloud computing platforms (e.g., AWS, Azure) for scalable infrastructure deployment
- Preferred: Experience with quantitative trading backtesting frameworks (e.g., Backtrader, QuantConnect)
Qualifications
Successful candidates should demonstrate a proven track record in delivering mission-critical trading systems with high availability and low latency requirements. Experience in both front-end and back-end system development is essential, with a particular emphasis on performance-critical components. Strong analytical skills are required to evaluate system bottlenecks and implement targeted optimizations. Candidates must possess excellent attention to detail to ensure accurate execution of trading algorithms and data integrity in high-stakes environments. A collaborative mindset is crucial for working within cross-functional teams to achieve common objectives. Demonstrated ability to work independently on complex projects while maintaining clear communication with stakeholders is also required.
