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The Quantitative Research Developer will design, develop, and support simulation frameworks for backtesting execution approaches and collaborate with quantitative researchers on new trading ideas. The role requires proficiency in programming, particularly in C++ and Python, as well as experience with tick data and trading systems.

The Implementation Developer will develop and support multi-threaded applications, optimize trading strategies, and create tools for financial data processing and analysis, collaborating closely with quantitative research analysts and engineers.

The role involves developing and implementing automated statistical trading models, engaging in research and analysis of large data sets, and synthesizing academic literature in finance and statistics.

Develop and support multi-threaded applications for a high-performance global trade execution platform. Optimize execution processes, create tools for processing and analyzing trade data, and collaborate with research analysts to provide software solutions.

Develop and implement infrastructure for market data and trading, maintain market data feeds, and design large scale applications to reduce latency and improve performance.