We are seeking a highly skilled Quantitative Developer  to take ownership of day-to-day operations for our high-frequency trading strategy.
This role combines deep mathematical analysis with hands-on C++ development and strategic problem-solving.
The ideal candidate will independently manage strategy execution while continuously improving performance through rigorous quantitative analysis.
Key Responsibilities   
Strategy Operations & Execution  
- Manage daily operation and monitoring of high-frequency trading strategies 
- Ensure smooth execution across trading sessions, handling system starts, stops, and intraday adjustments 
- Monitor real-time performance metrics and respond to anomalies 
- Maintain and optimize existing C++ codebase for strategy implementation 
Performance Analysis & Optimization  
- Conduct deep-dive analysis into P&L drivers and strategy performance metrics 
- Identify patterns in losing trades and develop systematic approaches to mitigate losses 
- Perform correlation analysis across multiple factors including market microstructure, timing, and execution quality 
- Design and implement A/B tests for strategy improvements 
- Build comprehensive reporting dashboards for performance attribution 
Quantitative Research  
- Analyze tick-by-tick data to identify execution inefficiencies 
- Develop statistical models to predict and prevent adverse selection 
- Research market microstructure effects impacting strategy performance 
- Implement risk controls and position limits based on quantitative analysis 
Technical Development  
- Write production-quality C++ code for strategy enhancements 
- Optimize latency-critical code paths and data structures 
- Develop tools for backtesting and simulation 
- Implement real-time monitoring and alerting systems 
- Maintain integration with exchange APIs and market data feeds 
Required Qualifications   
Educational Background  
- Bachelor's degree in Mathematics, Computer Science, Statistics, or related quantitative field 
- Advanced degree (MS/PhD) in quantitative discipline preferred 
Technical Skills  
- Expert-level C++ programming with focus on low-latency systems 
- Strong understanding of data structures, algorithms, and computational complexity 
- Experience with Linux systems, multithreading, and network programming 
- Proficiency in statistical analysis tools (Python/R, pandas, numpy) 
Quantitative Skills  
- Deep understanding of probability theory, stochastic processes, and time series analysis 
- Experience with statistical inference and hypothesis testing 
- Knowledge of market microstructure and order book dynamics 
- Familiarity with signal processing and filtering techniques 
Professional Experience  
- 2+ years in quantitative trading, preferably in high-frequency strategies 
- Demonstrated experience in troubleshooting and optimizing trading strategies 
- Track record of identifying and fixing sources of trading losses 
- Experience with tick data analysis and microsecond-level execution 
Key Competencies  
- Strong analytical and problem-solving abilities with attention to detail 
- Self-directed with ability to manage operations independently 
- Excellent debugging skills and systematic approach to problem identification 
- Ability to work under pressure during market hours 
- Clear communication skills for explaining complex technical concepts 
- Intellectual curiosity and drive for continuous improvement 
What We Offer  
- Opportunity to directly impact strategy performance and P&L 
- Significant autonomy in managing and improving trading operations 
- Exposure to cutting-edge technology in financial markets 
- Performance-based compensation structure 
- Collaborative environment with direct access to strategy stakeholders