• Deep hands-on experience in one or more financial-services domains, such as public or private markets, syndicated lending, securities processing, counterparty or client lifecycle management, or regulatory reporting. • Strong understanding of end-to-end workflows relevant to those domains (e.g. trade lifecycle, processing, reporting, reconciliation), and how data moves through systems. • Experienced in building medium to long term technology roadmaps and strategy. • Experience integrating and operating AI /ML, or agent-enabled components as part of broader systems, with attention to reliability, explainability, operational controls, and failure modes. • Experience designing systems where data quality, lineage, controls, and auditability are required and visible, not implicit. • Able to reason about domain-driven failure modes (late data, breaks, mismatches, reconciliation issues, regulatory deadlines) and design systems that surface and handle them cleanly. • Acts as a domain-aware technical partner to segment leads and delivery teams. • Strong experience designing and building distributed, data-intensive, and event-driven systems in financial services or similarly regulated environments. • Hands-on experience producing detailed designs and reference implementations and working directly with teams to turn designs into running systems. • Strong judgment around system behaviour in production, including performance, failure modes, resilience, recovery, and risk isolation. • Practical experience with cloud platforms (AWS, Azure, GCP), including managed services, multi-tenant designs, and cost/performance trade-offs. • Hands on experience in reviewing, writing, and improving production code, and working closely with senior engineers on complex problems.