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We’re seeking an AI Data Engineer to support with building next‑generation analytics and AI‑ready data platforms on KDB+ that directly power trading, research, and risk use cases across Markets.
Job Responsibility
To build and maintain the 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 warehoused 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
Be a motivated engineer with foundational experience with data pipelines, and emerging AI techniques
Hold previous experience contributing to AI-related use cases or pilots, and show a clear interest in how technology is evolving across front-office trading environments
Bring a learning mindset and an understanding of the challenges involved in applying AI responsibly within low-latency, high-risk trading systems
Nice to have
Financial Services/Investment banking background
Timeseries, Front office trading tech experience
Experience collaborating with a wide range of stakeholders, including business, technology, and senior leaders