Senior Lead Software Engineer - Equity Derivatives Systematic Trading
Our client is a leading financial organization committed to building innovative and scalable trading technology solutions. The company's culture emphasizes collaboration, cutting-edge development, and continuous improvement, offering an environment where talented professionals can thrive and contribute to transformative projects.
This role involves developing and maintaining a next-generation KDB platform supporting equity derivatives systematic trading. You will design and deliver scalable data stores and APIs, working closely with electronic trading teams, quantitative research, and trading units. Your work will be crucial in modernizing the data infrastructure that underpins our client's systematic trading strategies.
Role Overview:
The Senior Lead Software Engineer will play a key part in designing, developing, and implementing data solutions for high-volume, real-time trading systems. The role requires a technical leader capable of building resilient and high-performance KDB applications integral to the company's trading operations, contributing to data quality initiatives and operational stability.
Key Skills & Experience:
• Extensive professional experience (5+ years) with KDB/Q
• Deep understanding of KDB+ tick design, data organization, and performance optimization
• Proven ability to develop and maintain large datasets and optimize query performance
• Experience collaborating with quant, algo, or trading teams to deliver data solutions
• Strong system design, application development, testing, and operational stability skills
• Proficiency in automation and continuous delivery methods, including CI/CD
• Knowledge of agile methodologies, application resiliency, and security
• Experience scaling and load-balancing KDB applications
Key Responsibilities:
• Design, develop, and deliver scalable KDB-based systems that capture market data, risk, pricing, and client analytics
• Collaborate with electronic trading and quantitative research teams to gather requirements and implement analytics and data enrichment solutions
• Develop secure, high-quality production code, review and debug applications
• Identify and implement automation opportunities to improve operational stability
• Partner with support teams to maintain and support the trading data platform
• Engage in technical interviews and contribute to building a high-performing team
Requirements:
• Right to work in the specified location
• Formal training or certification in software engineering
• At least 5 years of professional experience with KDB/Q
• Strong understanding of performance optimization and large dataset management
• Ability to work onsite
• Relevant experience in financial services or trading technology preferred
Nice to Have:
• Experience with Python or cloud platforms such as AWS, Azure, or GCP
• Knowledge of CI/CD pipelines, DevOps practices, and automation tools
• Experience with AI tools or modeling
• Familiarity with Terraform, Kubernetes, and market data platforms
Candidates with relevant experience and a keen interest in trading technology are encouraged to apply. Join us to work on a masterfully crafted data platform that drives systematic trading strategies across the globe.
