Job Description

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.
The Role
You'll work within a high-performing engineering team developing a cross-asset data and analytics platform covering FX, Rates, Credit, and Equities. The platform underpins the bank's front-office tools, data capture, and market data intelligence capabilities.
You'll collaborate closely with quants, data scientists, and traders to design and deliver solutions that improve data quality, accessibility, and analytical capability across the business.
Key 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.
Key Skills & Experience
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.

Skills Required