Quantitative Developer

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