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Own CLO compliance and waterfall models, prepare periodic reports, agree test results with clients, resolve basic modeling and data issues, and coordinate between Position Services, Client Service Managers, analytics teams, clients, and auditors. The role requires analytical financial modeling experience and supports reporting accuracy, operational quality, and stakeholder communication.

Leads medium to large client processing teams, overseeing client accounts, transactional processing, inquiries, escalations, quality standards, documentation, and process improvements. Recruits, develops, and manages staff; supports budgeting and business planning; resolves complex client issues; and drives team objectives. Brokerage processing experience and applicable licenses or certifications may be required.

Manages complex investment portfolios and significant assets under investment policy guidelines. Communicates investment strategy, performance, and market conditions to clients and prospects; oversees portfolio adjustments and performance; contributes to investment committees, policies, and business growth; and supervises and develops portfolio management professionals.

Develop AI/ML-driven products, analytical capabilities, data pipelines, modeling techniques, and insight extraction solutions for financial markets. The role requires working with stakeholders to translate business needs into deployable products, handling large datasets, maintaining data quality, creating visualizations, and applying Python, SQL, and AI-assisted development tools in a commercial financial-services environment.

Owns the strategy, lifecycle, development, testing, implementation, and optimization of critical Margin Segregation applications. Acts as a liaison between business, product, operations, sales, and technology stakeholders; prioritizes enhancements and defect remediation; supports client solution discussions; identifies AI and automation opportunities; and evaluates business, operational, and technology risks. Requires financial services operations or client service experience, knowledge of KYC, market settlements, SWIFT, SSIs, and operational risk.

Leads client service delivery for BNY’s Data & Analytics team, serving as the primary client contact and escalation point. Oversees end-to-end service performance, resolves issues, coordinates cross-functional teams, and drives process improvements. Translates technical matters into business terms, ensures service-level alignment, manages complex client needs, and mentors teams while promoting accountability, collaboration, and continuous improvement.

Supports portfolio managers by analyzing domestic and international portfolios, evaluating strategy changes and transaction suitability, preparing trades, monitoring compliance notifications, and producing investment reporting, performance attribution, tracking error analysis, and portfolio analytics. The role also supports marketing and client service teams with data requests and requires collaboration with investment professionals and cross-functional partners.

Administers loan and bond portfolios, reconciles client operating accounts, monitors funds through settlement, executes account transfers, communicates with external financial stakeholders, supports the Client Service Manager, and participates in new deal closings and other projects.

Support portfolio managers by analyzing domestic and international portfolios, calculating strategy impacts, preparing trades, monitoring clearing compliance, generating performance attribution and portfolio analytics, and producing reports and data for investment, marketing, and client service teams.

Leads BNY’s regional Data and Analytics product strategy across the Middle East and Africa. Represents products to clients, supports pre-sales demonstrations and proofs of concept, translates regional requirements into global roadmaps, and drives adoption. The role combines product leadership, technical solution design, data expertise, regulatory awareness, stakeholder management, and collaboration across Product, Engineering, Sales, Risk, Legal, Compliance, and Data Governance teams.