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Lead operations delivery and strategy for Loan Enablement, partnering with EPO and Engineering to improve client experience, controls, efficiency, and metrics. Drive continuous improvement across service delivery groups, recruit and develop operations talent, deploy digital tools and reporting, engage clients on efficiency, and champion operations training and communications.

Lead and execute compliance testing across business areas, manage and develop a testing team, perform risk assessments and test design, identify issues, validate remediation, partner with stakeholders, and use data analytics and AI tools to strengthen regulatory compliance and control effectiveness.

Lead design and development of trading and messaging channels; build core Java components; implement testing and CI/CD; support/operate mission-critical fixed-income trading systems; integrate market data feeds; collaborate with stakeholders and vendors; provide second-level support and deliver enhancements.

Lead and mentor engineering teams to design and build reliable, secure, scalable full‑stack systems. Architect cloud‑native microservices, RESTful and streaming APIs, and reusable patterns; apply strong engineering fundamentals, observability, testing, and AI‑enabled tools to improve productivity and production quality.

Lead end-to-end fund accounting for German Special Funds, managing NAV production, client interactions, tax workflows, and transaction accuracy.

The Director will lead the fund accounting teams, oversee IFRS accounting and reporting, ensure financial and human resource management, and promote improvements in operations for German Retail and Special Funds.

Lead German Fund Tax delivery with a focus on client tax deliverables, vendor management, regulatory compliance, and coordination of tax reporting metrics.

As Vice President of Client Operations, you'll enhance service delivery, streamline processes, and serve as the main contact for key clients.

The role involves designing and developing AI-powered solutions for complex enterprise problems, integrating AI capabilities, and collaborating with various teams. Candidates need strong analytical, algorithmic, and engineering skills in AI and ML.

Lead and mentor engineering teams while hands‑on building scalable, secure full‑stack architectures. Design cloud‑native microservices, streaming and REST APIs, containerized deployments, and resilient production systems. Create reusable patterns, reduce operational toil, apply AI/GenAI responsibly to improve developer productivity, and ensure observability, testing, and disciplined rollout strategies.