Join a Securities Services Cross-Product Transformation team that partners closely with Operations to define and deliver scalable, resilient platforms. As a Senior Associate Business Analyst, you will translate user requirements from Securities Services Operations into precise functional requirements and help shape technical solution designs with engineering and architecture. You will rigorously maintain the boundary between user requirements, functional requirements, and technical solution design, ensuring end-to-end traceability and auditability. In addition, you will learn and utilize the firm’s latest approved AI capabilities, track external AI trends, and facilitate large-scale, governed AI rollouts across Operations, without directly developing automation code or pilots.
Key Responsibilities:
- Partner with Global Custody, Fund Services, Middle Office, and other product lines to elicit user requirements, target outcomes, and SLAs; run workshops/interviews to capture current-state and pain points.
- Author and maintain a layered requirements stack including user requirements, functional requirements, and technical solution design inputs, and ensure obtain consensus across stakeholders
- Create and maintain as-is/to-be process models (BPMN), define control points and exception handling aligned to cutoffs and client SLAs; specify upstream/downstream integrations
- Establish end-to-end traceability from requirements to epics/stories, tests, and releases; enforce taxonomy, versioning, and change control; define testable acceptance criteria and support UAT/defect triage.
- Learn and utilize the firm’s latest approved AI capabilities; define AI-specific functional requirements (guardrails, evaluation, HITL) and design inputs (inference integration, observability).
Required qualifications, capabilities, and skills:
- 6–9 years’ Business Analysis/Product Analysis experience in Securities Services or related capital markets.
- Demonstrated domain knowledge in at least two product areas
:
- Separate and document user requirements vs. functional requirements vs. technical solution design; maintain bidirectional traceability.
- Specify integrations and data contracts; capture non-functionals (resiliency, performance, security, observability) tied to operational windows.
- Produce testable acceptance criteria and partner effectively with QA/UAT.
- Proficiency with JIRA/Confluence, BPMN/UML, API specifications (e.g., OpenAPI)
- Ability to learn enterprise AI platforms and align to firm-wide governance—focused on scaling adoption, not model-building.
- Exceptional attention to detail, structured communication, and stakeholder facilitation.
Preferred qualifications, capabilities, and skills:
- Exposure to event-driven architectures, microservices, and streaming; experience with exceptions workflows and control/operations dashboards.
- Experience supporting business-wide AI adoption (playbooks, change management); familiarity with data governance, entitlements, operational resilience, and records management.
- Certifications such as CBAP/BCS BA; relevant AI/ML coursework a plus.