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

Senior FICC Automation & Electronic Trading Systems Engineer - GBM Public - NYC  New York, New York, United States

Senior FICC Automation & Electronic Trading Systems Engineer

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.

• 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 counter parties.
• 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, Dev Ops, 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.

• 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, Dev Ops, 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.

• Experience in No
  
  SQL data stores, e.g., Cassandra, Mongo
  
  DB, or Elastic.
• Experience in modern message‑oriented middleware,…