Lead Engineer - Fixed Income, Algo Engineer

• Lead the architectural design and development of high-performance, low-latency Algo platform including pricing, hedging and execution systems for Fixed Income products
• Engage in active, hands-on coding in Java or Rust, contributing to the core codebase and setting the standard for quality, performance, and reliability
• Define and drive the long-term technology vision for the order management platform, ensuring it is scalable, resilient, and aligned with business goals
• Design, implement, and optimize trading workflows for ultra-low latency, ensuring minimal processing time from order receipt to execution
• Partner closely with front-office traders, quantitative analysts, and product managers to understand business requirements and translate them into robust technical solutions
• Mentor and coach junior and mid-level engineers, fostering a culture of technical excellence, innovation, and continuous learning
• Act as a senior escalation point for resolving complex production issues, ensuring the stability and integrity of the trading platform

• Extensive professional software development experience, with a significant portion in a front-office role focused on low-latency Algo trading or order management systems
• Deep understanding of Fixed Income products, electronic trading concepts, market data, and the trade lifecycle
• Expert-level proficiency in Java or Rust, with a strong emphasis on performance-critical, low-latency programming
• Proven experience in the design, development, and maintenance of cross-asset order management systems (OMS)
• Demonstrable expertise in building and optimizing low-latency pricing, hedging and execution systems
• Solid hands-on experience in integrating with and managing vendor connectivity (e.g., Redline, ION)
• Strong knowledge and practical experience in designing and implementing robust pricing, hedging and execution systems for ultra-low-latency environments
• Strong knowledge of high-performance messaging middleware (e.g., Aeron, Solace) and low-latency data handling techniques
• Proven experience designing and building complex, distributed, and fault-tolerant systems
• Experience with modern development tools, including Git, Jenkins, and containerization technologies (e.g., Docker, OpenShift)
• Demonstrable experience leading software projects, mentoring engineers, and making key architectural decisions
• Exceptional analytical and problem-solving skills, with the ability to tackle complex challenges under pressure
• Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field

Hybrid working model (2 days from home)