Top Tech Jobs & Startup Jobs

Act as an IT-business liaison to gather and document business and functional requirements, define project scope, support functional design, testing, training, and user documentation for small-to-moderate projects. Interface with IT to resolve issues, recommend application/process improvements, and mentor junior colleagues while ensuring regulatory and control compliance.

Lead client operations initiatives to improve service delivery and client satisfaction. Ensure regulatory compliance, resolve complex client issues, collaborate cross-functionally, analyze feedback and operational data, and provide guidance to internal teams to drive efficiency and strategic improvements.

Design, build, and maintain full-stack, data-centric applications for Global Clearing. Collaborate with product and business teams, analyze data with SQL/Snowflake, develop cloud-deployed services (Java/SpringBoot, Angular, Python), and write automated tests. Leverage AI coding assistants and support critical client-facing financial platforms.

Design, build, deploy and maintain full‑stack, cloud‑deployed applications for critical market platforms. Partner with product and business teams to analyze data, craft insights, and inform decisions. Use Java, Angular, Python, JavaScript, SQL and Snowflake, apply SpringBoot, automated testing, and AI coding assistants while supporting high‑performance, client‑facing services in capital markets.

Support investor services client operations by improving processes, delivering accurate client reporting, acting as client point of contact, liaising with product/engineering, and ensuring regulatory and policy compliance.

Lead the RCAR data platform strategy and implement end-to-end data architecture to support self-serve analytics, advanced analytics, regulatory reporting, and responsible AI. Establish canonical/vectorized data forms, semantic layers, metadata governance, data intelligence mesh, access controls, and ML lifecycle tooling. Partner with CDO and Data Engineering to drive platform reliability, observability, FinOps, data quality, and executive reporting tied to risk and regulatory commitments.

Lead and manage the client operations team, act as escalation point, improve client service delivery, liaise between clients and product/engineering teams, streamline processes, ensure accurate reporting and regulatory compliance.

Support and improve client operations by driving process improvements, ensuring accurate and timely client reporting, acting as primary client contact, liaising with product and engineering, and maintaining regulatory compliance and operational risk controls.

Lead and build an enterprise FinOps capability to drive cloud and AI cost accountability. Define strategy, operating model, allocation/taxonomy, cost data pipelines, AI-driven optimization and governance, partner with finance, engineering, procurement, and legal, and recruit and manage a FinOps team to deliver visibility, chargeback/showback, forecasting, and automated remediation workflows.

Senior technical leader responsible for end-to-end architecture and technical direction of a performance measurement and attribution calculation platform. Own cross-cutting design, lead cross-team integration, prototype and adopt AI/ML, mentor senior engineers, and write code for the hardest problems to ensure performance and correctness at scale.