We are seeking a Software Engineer to join our dynamic Technology team in New York. This individual will play a critical role in enhancing the firm’s trading systems, with a strong focus on execution trading and close collaboration with traders and brokers.<br><br>Key Responsibilities<br><br>Partner directly with traders and brokers to improve execution workflows and trading efficiency.<br>Enhance and maintain core components of the firm’s trading infrastructure, including:<br><br>Data acquisition and validation from multiple sources.<br>Integration of quantitative models into live trading systems.<br>Execution logic and order routing across global markets.<br>Post-trade workflows, including reconciliation and audit trails.<br>Risk reporting and analytics to support real-time and end-of-day decision-making.<br><br><br>Develop and optimize systems for low-latency, high-throughput trading environments.<br>Collaborate with quantitative researchers to translate model outputs into executable strategies.<br>Work with internal stakeholders to ensure systems align with business objectives and compliance requirements.<br>Contribute to architectural decisions and evaluate new technologies to evolve the tech stack.<br>Participate in code reviews, testing, and deployment processes using industry best practices.<br><br><br>Qualifications<br><br>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field.<br>3–5 years of detail oriented software development experience.<br>Proficiency in C++, Rust, and familiarity with Python.<br>Experience with messaging protocols (RabbitMQ, Kafka), WebSockets, and AWS.<br>Strong knowledge of SQL and relational database design.<br>Familiarity with financial data APIs and databases (e.g., Onetick, Kdb).<br>Comfortable working in Unix/Linux environments.<br>Strong analytical and problem-solving skills.<br>Excellent communication skills, both written and verbal.

C++, Rust, SQL, RabbitMQ, Equity Trading

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