Algo Capital Group
Market Structure Optimization Engineer
Algo Capital Group, Chicago, Illinois, United States, 60290
Market Structure Optimization Engineer
A globally renowned systematic hedge fund is seeking a Market Structure Optimization Engineer to join its high-impact trading infrastructure and strategy team. In this role, you’ll focus on dissecting and engineering around the intricacies of modern electronic markets, optimizing order placement, minimizing latency, and improving trading outcomes through deep analysis of market mechanics and exchange behaviour.
Key Responsibilities: Analyze exchange market structure, order book dynamics, and latency profiles to optimize execution strategies and trading system behaviour. Build and refine low-latency trading infrastructure, including order placement logic and connectivity with various venues. Develop and deploy tools for venue analysis, order routing decisions, and smart order placement strategies. Engineer robust data pipelines and analytics frameworks to extract insights from full-depth order book data and tick-level market data. Partner with quant researchers to incorporate microstructure findings into signal generation and execution models.
Ideal Candidate: Strong engineering background with C++ in performance-critical environments. Deep knowledge of market microstructure, exchange protocols, and electronic execution mechanics. Experience building and optimizing low-latency trading or execution systems in equities, futures, or FX. Proficiency in statistical analysis and data modelling using Python or similar tools. Prior exposure to machine learning and its application to trading signals or execution optimization is a plus. Degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline.
If you're passionate about market structure, systems optimization, and pushing the boundaries of what's possible in electronic trading, apply now for a confidential conversation.
Key Responsibilities: Analyze exchange market structure, order book dynamics, and latency profiles to optimize execution strategies and trading system behaviour. Build and refine low-latency trading infrastructure, including order placement logic and connectivity with various venues. Develop and deploy tools for venue analysis, order routing decisions, and smart order placement strategies. Engineer robust data pipelines and analytics frameworks to extract insights from full-depth order book data and tick-level market data. Partner with quant researchers to incorporate microstructure findings into signal generation and execution models.
Ideal Candidate: Strong engineering background with C++ in performance-critical environments. Deep knowledge of market microstructure, exchange protocols, and electronic execution mechanics. Experience building and optimizing low-latency trading or execution systems in equities, futures, or FX. Proficiency in statistical analysis and data modelling using Python or similar tools. Prior exposure to machine learning and its application to trading signals or execution optimization is a plus. Degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline.
If you're passionate about market structure, systems optimization, and pushing the boundaries of what's possible in electronic trading, apply now for a confidential conversation.