AI data engineer in trading systems

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.

• 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.
• To contribute or set strategy, drive requirements and make recommendations for change.
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

• Be a seasoned engineer who has delivered impactful AI initiatives with demonstrable positive return on investment
• Hold previous experience working at the forefront of technological evolution, adapting as paradigms have shifted
• Bring a clear vision for applying AI within front‑office trading systems, with a strong understanding of the practical challenges and intricacies involve
• 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.
• Будет плюсом: Hands-on development experience with Python

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