Join a dynamic team at the forefront of data, analytics, and AI innovation within Securities Services. Make a direct impact by delivering business-critical solutions that drive risk management, revenue maximization, and operational excellence across our global platform.

As a Senior Product Associate in Securities Services Analytics AI & Data Strategy team, you will help deliver high-impact data and analytics solutions, collaborating with cross-functional partners to support client scorecards, liquidity exposure, deposit management, risk management, and more. Your work will ensure that critical programs are efficiently funded and executed, supporting the business’s strategic priorities.
 Job responsibilitiesPartners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discoveryConsiders and plans for upstream and downstream implications of new product features on the overall product experienceSupports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customersAnalyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycleWrites the requirements, epics, and user stories to support product development Works with the broader Analytics, AI and Data Strategy team to execute Securities Services’ data, analytics and AI deliveries across all major products and stakeholder groupsPartners closely with AI/ML research, Data Platform, Product Management, Product Development, Quantitative Research, Sales, Business Managers, Operations, and Technology teams to scope and refine business requirementsProvides regular status updates, monitor project performance, and manage stakeholder relationships to support the full program delivery lifecycle in Technology sprintsConceptualizesand design effective presentations to highlight the business benefits of analytics, AI, and data initiativesActs as a secondary/supporting escalation point for product-related questions to ensure suitable resolution and management of risks such as data bottlenecksTracks Securities Services’ data modernization and AI initiatives, including chairing bi-weekly governance calls with key stakeholder groupsRequired qualifications, capabilities, and skills3+ years of experience or equivalent expertise in product management or a relevant domain areaProficient knowledge of the product development life cycleExperience in product life cycle activities including discovery and requirements definitionDeveloping knowledge of data analytics and data literacyExperience managing projects and using project management tools (e.g., JIRA, Confluence, Microsoft Teams), including agile methodologyExperience working with technology and/or data scientists to build analytics and AI productsCurious, patient, hardworking, detail-oriented, and motivated to solve complex analytical problemsAbility to work both independently and in highly collaborative team environmentsExcellent written and oral communication and presentation skills, with experience communicating effectively with diverse audiences, including senior leadershipStrong influencing skills, able to articulate complex ideas and analytical deliveries succinctly, including presenting to large audiencesAbility to manage multiple urgent priorities with short deadlinesPreferred qualifications, capabilities, and skillsComprehensive IT knowledge, including Microsoft Office; ideally Alteryx and/or Tableau for data mining and modelingUndergraduate degree with quantitative components (e.g., Computer Science, Data Analytics, Economics, Statistics)Basic knowledge of AI modeling techniques relevant to banking (e.g., supervised and unsupervised Machine Learning models), gained through work experience or university coursework