Senior FICC Automation & Electronic Trading Systems Engineer - GBM Public - NYC

We are seeking a highly skilled and experienced Senior FICC Automation & Electronic Trading Systems Engineer to join our dynamic team. This pivotal role involves designing, developing, and optimizing a strategic, high-performance platform for real-time pricing, quoting, and lifecycle automation across various FICC derivatives products, while also ensuring robust, low-latency, and scalable electronic trading solutions. The ideal candidate will have a strong background in building large-scale distributed systems, expertise in electronic trading concepts, hands-on experience with FIX protocols, and a keen interest in leveraging AI tooling to enhance development workflows.

Responsibilities:

• Design, develop, and optimize a strategic, high-performance platform for real-time pricing, quoting, and lifecycle automation in various FICC derivatives products, driving real-time decision making and facilitating trade-booking.
• Develop and maintain high-performance, low-latency electronic trading systems and infrastructure, ensuring robust and scalable solutions.
• Work extensively with Financial Information eXchange (FIX) protocol for order routing, market data, and post-trade communication with exchanges, brokers, and other counterparties.
• Collaborate closely with quantitative researchers, traders, and sales to translate complex trading strategies and business requirements into robust, production-ready code.
• Perform system analysis, performance tuning, and troubleshooting to ensure optimal system reliability, accuracy, and efficiency.
• Develop and maintain tools for monitoring, alerting, and reporting on trading system performance and market activity.
• Participate in code reviews, architectural discussions, and contribute to the overall technical direction of the trading platform.
• Proactively engage with stakeholders throughout the software development lifecycle (SDLC) and contribute to automated testing, DevOps, and Continuous Deployment practices.
• Explore, evaluate, and incorporate AI tooling and machine learning techniques into development workflows to improve efficiency, automation, and system capabilities.
• Ensure compliance with regulatory requirements and internal risk management policies.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Quantitative Finance, or a related technical discipline.
• 5+ years of professional experience in software development, with a significant focus on electronic trading systems, large-scale distributed platforms, and automation solutions.
• Proven expertise in electronic trading concepts, including market microstructure, order types (e.g., limit, market, iceberg), execution algorithms (e.g., VWAP, TWAP, POV), and low-latency system design.
• In-depth knowledge and hands-on experience with FIX protocol versions (e.g., FIX 4.2, 4.4, 5.0 SP2), including message parsing, session management, and custom tag implementation.
• Strong programming skills in Java (commercial experience required), with additional proficiency in C++ or Python for performance-critical applications.
• Excellent object-oriented analysis and design skills.
• Strong knowledge of data structures and algorithms.
• Experience with real-time data processing, distributed systems, and multi-threaded programming.
• Solid understanding of FICC derivatives products, financial markets, and trading workflows, particularly in pricing, quoting, and lifecycle automation.
• Familiarity with automated testing, DevOps, and Continuous Deployment practices.
• Excellent problem-solving, analytical, and communication skills, including experience speaking to technical and business audiences and working globally.
• Comfortable multi-tasking, managing multiple stakeholders, and working as part of a global team.
• Demonstrated interest in using and incorporating AI tooling and machine learning into development workflows.

Preferred Qualifications:

• Experience in NoSQL data stores, e.g., Cassandra, MongoDB, or Elastic.
• Experience in modern message-oriented middleware, e.g., Kafka or RabbitMQ.
• Experience in debugging complex distributed systems.
• Experience with cloud platforms (AWS, Azure, GCP) for trading infrastructure.
• Knowledge of network protocols and low-latency networking techniques.
• Familiarity with kdb+/Q or other time-series databases.
• Experience working directly with trading and sales users and converting their requirements into actionable solutions.