KDB Developer

We are seeking an experienced KDB Developer to join our team at Purview Consultancy Services Ltd in London. The successful candidate will work on high-performance data analysis and time-series applications within a collaborative and dynamic environment.

• Design, develop, and maintain KDB+ applications to support real-time and historical data analysis.
• Optimize performance of existing KDB databases and Q scripts to enhance data processing capabilities.
• Collaborate with quantitative analysts and other team members to understand data requirements and develop effective solutions.
• Integrate KDB solutions with other financial systems and contribute to system architecture design.
• Troubleshoot and resolve technical issues with KDB/Q applications and databases.
• Participate in code reviews, testing, and optimization processes to ensure high-quality deliverables.
• Work closely with business stakeholders and other technical teams to gather requirements and define project scope.
• Document technical specifications, workflows, and system architecture for future reference.

• Proven experience in KDB+ development with strong proficiency in Q language.
• In-depth knowledge of time-series data and financial markets, particularly in areas such as equities, fixed income, or FX.
• Strong skills in database optimization, data modeling, and performance tuning for high-frequency data.
• Solid understanding of Linux/Unix environments and experience with scripting languages such as Python or Shell.
• Experience in working with large-scale data systems and real-time analytics.
• Familiarity with agile development methodologies and tools like JIRA or Confluence.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

• Bachelors degree in Computer Science, Engineering, Mathematics, or a related field.
• Prior experience in a similar role within an investment bank or financial services organization.
• Experience with data visualization tools and libraries.
• Knowledge of cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus.