KDB Developer - Cross-Asset Data Engineering - Banking

Vertus Partners; City Of 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 new Cross-Asset Data Engineering team. In this role, you will collaborate with quants and traders to enhance data quality and analytics capabilities across various asset classes. The ideal candidate should have strong experience with KDB/q and Python, alongside a background in data engineering. This position offers the opportunity to contribute to innovative trading insights and analytics tools.

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.

Skills

KDB/q

Python

Data Engineering

Quantitative Development

Market Data

Job description

KDB Developer - Cross-Asset Data Engineering - Banking

Contact email: [e-mail]

Job ref: KDB/HH/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.

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 will 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.

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