Blockhouse
Blockhouse is a financial data analytics company that specializes in optimizing trade execution for buy-side and sell-side institutions. Utilizing AI-powered analytics, Blockhouse provides predictive insights to enhance trading strategies, reduce transaction costs by 20%, and automate compliance with regulatory frameworks like FINRA 5310 and MiFID II. The platform tackles challenges like fragmented data, inefficient integrations, and high transaction costs, offering solutions that streamline data analysis and improve operational efficiency. Blockhouse guarantees optimized execution with a measurable return on investment through its end-to-end analytics platform.
Quantitative Developer
2 days ago
Blockhouse
Blockhouse is a financial data analytics company that specializes in optimizing trade execution for buy-side and sell-side institutions. Utilizing AI-powered analytics, Blockhouse provides predictive insights to enhance trading strategies, reduce transaction costs by 20%, and automate compliance with regulatory frameworks like FINRA 5310 and MiFID II. The platform tackles challenges like fragmented data, inefficient integrations, and high transaction costs, offering solutions that streamline data analysis and improve operational efficiency. Blockhouse guarantees optimized execution with a measurable return on investment through its end-to-end analytics platform.
📋 Description
• Deploy and optimize execution algorithms for real-time, high-performance trade execution. • Develop low-latency infrastructure to support smart order routing, execution optimization, and live trading. • Translate research models into production-ready code, ensuring efficiency and scalability. • Build and maintain FIX connectivity for broker and exchange integration. • Optimize order placement logic and routing decisions for execution quality. • Enhance simulation environments to test execution algorithms under realistic market conditions. • Ensure robust monitoring and logging of live execution strategies.
🎯 Requirements
• 1+ year of experience in execution trading, quantitative development, or low-latency trading systems. • Strong background in C++, Rust, or highly optimized Python for high-performance applications. • Experience working with FIX protocol, broker/exchange APIs, and market data feeds. • Knowledge of market microstructure, order book dynamics, and execution cost models. • Strong debugging and performance optimization skills, particularly in latency-sensitive environments. • Prior experience in hedge funds, prop trading firms, market-making, or execution desks at major banks is highly preferred.
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