KDB Engineer - Equities Research Technology

We are seeking a KDB Engineer to join our Equities Research Technology team at Equity IT in London.

The successful candidate will partner with R&D and application development teams to design, prototype, and implement next-generation high-performance real-time analytics solutions that scale with the business. They will collaborate with the team to build a market-leading portfolio P&L and risk platform for latency-critical processes with high visibility across trading and management teams.

Responsibilities:

• Partner with R&D and application development teams to design, prototype, and implement next-generation high-performance real-time analytics solutions that scale with the business
• Collaborate with the team to build a market-leading portfolio P&L and risk platform for latency-critical processes with high visibility across trading and management teams
• Work across a range of technologies to deliver state-of-the-art intraday analytics platforms used in risk and portfolio management systems across the firm
• Contribute to the application development and architecture of highly scalable real-time platforms
• Support the build and ongoing enhancement of real-time and historical data infrastructure, including opportunities to optimize how data is stored, queried, and processed
• Develop and maintain clean, testable code in a Linux-based environment
• Work with interconnected q processes and integrate with components written in C, C++, and Python through IPC, WebSocket, and HTTP interfaces

Requirements:

• 4+ years of experience in KDB+ q application development on Linux, with a strong understanding of the Linux operating system
• Experience building and maintaining feed handlers, real-time databases, and historical databases, with a focus on performance and optimization
• Experience working with multiple q processes interacting with one another and with services written in C, C++, and Python
• Strong coding standards and experience writing clean, testable code
• Basic understanding of computer networking and experience with monitoring tools such as Datadog and the ELK stack
• Basic understanding of equities, linear products, and financial markets, along with a strong interest in working directly with investment professionals
• Collaborative approach, strong team orientation, and willingness to contribute across the group
• Curiosity, learning agility, and interest in experimenting with new ideas; cross-asset risk analytics or large-scale real-time portfolio risk and P&L engine experience is a plus