Our client are at the forefront of innovation in electronic trading and quantitative research. Their teams build high-performance systems that power global trading strategies across multiple asset classes. We are now seeking a highly skilled Senior KDB+ Engineer to join their trading technology group and contribute to the development of cutting-edge trading platforms and algorithmic trading solutions.

Role Overview:
As a Senior KDB+ Engineer, you will be responsible for designing, developing, and maintaining high-performance time-series databases and real-time analytics systems that support trading and quantitative research. You will work closely with traders, quants, and software engineers to deliver scalable and reliable solutions for market data capture, strategy execution, and post-trade analysis.

Key Responsibilities:

• Architect, design, develop and implement KDB+/q solutions for real-time and historical market data processing.
• Collaborate with trading and quant teams to develop and optimize algorithmic trading systems.
• Build and maintain data pipelines for low-latency trading environments.
• Enhance system performance, scalability, and reliability across trading platforms.
• Support production systems and troubleshoot complex issues in live trading environments.
• If you are more senior there will be an oppportunity to mentor junior engineers and contribute to best practices in KDB+ development.

Required Skills & Experience:

• Proven experience as a KDB+ Engineer in a trading or financial services environment.
• Strong proficiency in q programming and time-series data modeling.
• Deep understanding of market data (e.g., equities, FX, futures) and trading system architecture.
• Experience with algorithmic trading platforms and strategy development.
• Familiarity with low-latency systems, networking, and performance tuning.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Strong communication skills and ability to engage with cross-functional teams.

Preferred Qualifications:

• Experience with cloud-based infrastructure (e.g., AWS, GCP).
• Knowledge of other programming languages (e.g., Python, C++) is a plus.
• Background in quantitative finance or data science is advantageous.

Why Apply?

• Work on high-impact projects in a dynamic and intellectually stimulating environment.
• Collaborate with world-class engineers, quants, and traders.
• Competitive compensation and comprehensive benefits.
• Opportunities for career growth and technical leadership.

Get in touch and / or apply to find out more!

Adam Davies

Partner

Technology 'recruitment & search'

Menrva Group

Registered Agent R1326604

Company EA License 19S9808

Company Registration 201900823K