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We’re seeking an AI Data Engineer to lead on building next‑generation analytics and AI‑ready data platforms on KDB+ that directly power trading, research, and risk use cases across Markets.
Job Responsibility
Build and maintain systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models
Requirements
Seasoned engineer who has delivered impactful AI initiatives with demonstrable positive return on investment
Previous experience working at the forefront of technological evolution, adapting as paradigms have shifted
Clear vision for applying AI within front‑office trading systems, with a strong understanding of the practical challenges and intricacies involved
Hands-on development experience with Python
Deep understanding of front office trading workflows, low-latency architectures, market data dynamics, and the operational challenges of integrating AI into real-time trading environments
Demonstrated track record of evolving with emerging technologies and leading adoption of new paradigms, with the ability to translate cutting-edge AI capabilities into practical, production-ready solutions
Nice to have
Hands-on development experience with Python
Deep understanding of front office trading workflows, low-latency architectures, market data dynamics, and the operational challenges of integrating AI into real-time trading environments
Demonstrated track record of evolving with emerging technologies and leading adoption of new paradigms, with the ability to translate cutting-edge AI capabilities into practical, production-ready solutions