KDB Developer / Cross-Asset Data Engineering / Banking

Vertus Partners; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading global investment bank is seeking a KDB Developer to join their Cross-Asset Data Engineering team in London. The successful candidate will design and maintain high-performance KDB/q solutions, work with Python to enhance the data platform, and engineer scalable data pipelines. Applicants should have strong experience with KDB/q and Python, along with a background in data engineering or quantitative development. This role offers a unique opportunity to contribute to the bank's data-driven trading strategies.

Qualifications

• Strong experience with KDB/q and Python.
• Proven background in data engineering or quantitative development.
• Exposure to market data, trade capture, or financial analytics platforms.

Responsibilities

• Design, develop, and maintain high-performance KDB/q solutions.
• Work with Python to integrate and extend the data platform.
• Engineer scalable data pipelines across multiple asset classes.
• Partner with trading, quant, and technology teams to deliver analytics and data-driven tools.
• Contribute to the evolution of the bank's cross-asset data strategy and infrastructure.

Skills

KDB/q

Python

Data engineering

Quantitative development

Market data exposure

Job description

KDB Developer - Cross-Asset Data Engineering - Banking

Contact email:

Job ref: KDB/FF/0411_1762250049

Startdate: ASAP

KDB Developer - Cross-Asset Data Engineering | Global Investment Bank | London

We're partnering with a leading global investment bank that's building out a new Cross-Asset Data Engineering and Analytics function. This team sits at the heart of the bank's efforts to consolidate data across asset classes and drive AI-powered trading insights and alpha research.

Responsibilities

• Design, develop, and maintain high-performance KDB/q solutions.
• Work with Python to integrate and extend the data platform.
• Engineer scalable data pipelines across multiple asset classes.
• Partner with trading, quant, and technology teams to deliver analytics and data-driven tools.
• Contribute to the evolution of the bank's cross-asset data strategy and infrastructure.

Qualifications

• Strong experience with KDB/q and Python.
• Proven background in data engineering or quantitative development.
• Exposure to market data, trade capture, or financial analytics platforms.
• Experience from any asset class (FX, Rates, Equities, Credit, etc.).
• Interest in cross-asset technology and data-driven trading innovation.

By submitting your details you agree to our T&Cs