KDB Specalist

Advanced Resource Managers Ltd; Greater London; Hybrid; GBP 129,000 - 203,000; Full time

Job summary

Advanced Resource Managers Ltd in London seeks an experienced KDB+/q Specialist to join a high-performance engineering team working on Prime Brokerage, Financing, Intraday Risk, Market Data and time-series analytics. The role is a 12-month contract with a hybrid London setup (1–2 days on site per week).

You will design scalable KDB+/q solutions, optimise time-series platforms, and partner with traders, quants and business teams to deliver robust, high-performance applications while influencing

Qualifications

• Extensive commercial experience with KDB+/q.
• Strong understanding of time-series databases and distributed data architectures.
• Experience designing, implementing and optimising RDB/HDB environments.
• Experience working with Market Data, Risk, Financing, Prime Brokerage or Securities Lending platforms.
• Proficient Linux/Unix administration and scripting skills.
• Experience supporting production systems in business-critical environments.

Responsibilities

• Design, develop and optimise high-performance KDB+/q applications and data platforms.
• Build scalable RDB/HDB architectures for large-scale market data and analytics.
• Collaborate with trading, quantitative, risk and business teams to gather requirements and deliver solutions.
• Improve platform performance, resilience and operational stability.
• Troubleshoot production issues and drive platform improvements.
• Contribute to technical design, engineering standards and mentoring within the team.

Skills

KDB+/q expertise

Time-series databases

RDB/HDB architectures

Market Data/Risk/Finance platforms

Linux/Unix scripting

Production support in critical systems

Tools

Kubernetes

Kafka

Terraform

Ansible

Cloud platforms

CI/CD & DevOps

Job description

KDB Specialist
12 Month contract (ideally starting in December)
London (Hybrid) - 1-2 days per week on site
£#removed# per day (Inside IR35)

My client in the banking industry are looking for an experienced KDB+/q Specialist to join a high-performing engineering team building and evolving critical platforms that underpin Prime Brokerage, Financing, Intraday Risk, Market Data and time-series analytics. These are business-critical systems that process high-volume, low-latency financial data and are used directly by front office, quantitative and risk teams.

You’ll play a key role in designing scalable KDB+ solutions, optimising time-series data platforms, and partnering closely with traders, quants and business stakeholders to deliver robust, high-performance applications.

This is an opportunity to work on technically challenging engineering problems within a complex enterprise environment while influencing architecture and best practices across the KDB+ estate.

What You'll Be Doing

• Design, develop and optimise high-performance KDB+/q applications and data platforms.
• Build scalable RDB/HDB architectures capable of supporting large-scale market data and analytics workloads.
• Partner with trading, quantitative, risk and business teams to understand requirements and deliver innovative technical solutions.
• Improve platform performance, resilience and operational stability.
• Troubleshoot production issues and drive continuous platform improvements.
• Contribute to technical design, engineering standards and mentoring within the team.

We’re interested in engineers who have deep expertise in KDB+/q and enjoy solving complex engineering problems in high-performance financial systems.

You’ll ideally bring:

• Strong commercial experience developing applications using KDB+/q.
• Deep understanding of time-series databases and distributed data architectures.
• Experience designing, implementing and optimising RDB/HDB environments.
• Experience working with Market Data, Risk, Financing, Prime Brokerage or Securities Lending platforms.
• Strong Linux/Unix administration and scripting skills.
• Experience supporting production systems within business-critical environments.

Experience with any of the following would be advantageous:

• Kubernetes
• Kafka
• Terraform
• Ansible
• Cloud platforms and cloud-native engineering
• CI/CD pipelines and modern DevOps practices