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Chase · 3 weeks ago

Senior Product Associate, Securities Services - Analytics, AI & Data Strategy

270 Park Ave, New York, NY, 10017, US

Full-time

Onsite

Mid, Senior Level

$100K/yr - $150K/yr

3+ years exp

Chase is seeking a Senior Product Associate in their Securities Services Analytics AI & Data Strategy team. This role involves delivering high-impact data and analytics solutions, collaborating with cross-functional partners to support various business-critical initiatives.

BankingFinancial Services

Responsibilities

Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery

Considers and plans for upstream and downstream implications of new product features on the overall product experience

Supports 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 customers

Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle

Writes 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 groups

Partners 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 requirements

Provides regular status updates, monitor project performance, and manage stakeholder relationships to support the full program delivery lifecycle in Technology sprints

Conceptualizes and design effective presentations to highlight the business benefits of analytics, AI, and data initiatives

Acts as a secondary/supporting escalation point for product-related questions to ensure suitable resolution and management of risks such as data bottlenecks

Tracks Securities Services’ data modernization and AI initiatives, including chairing bi-weekly governance calls with key stakeholder groups

Qualification

Product managementData analyticsProject managementAgile methodologyAI productsData literacyInfluencing skillsCuriosityMicrosoft OfficeAlteryxTableauMachine LearningCommunication skillsCollaborationProblem-solvingPresentation skillsTime managementDetail-orientedMotivationTeamwork

Required

3+ years of experience or equivalent expertise in product management or a relevant domain area

Proficient knowledge of the product development life cycle

Experience in product life cycle activities including discovery and requirements definition

Developing knowledge of data analytics and data literacy

Experience managing projects and using project management tools (e.g., JIRA, Confluence, Microsoft Teams), including agile methodology

Experience working with technology and/or data scientists to build analytics and AI products

Curious, patient, hardworking, detail-oriented, and motivated to solve complex analytical problems

Ability to work both independently and in highly collaborative team environments

Excellent written and oral communication and presentation skills, with experience communicating effectively with diverse audiences, including senior leadership

Strong influencing skills, able to articulate complex ideas and analytical deliveries succinctly, including presenting to large audiences

Ability to manage multiple urgent priorities with short deadlines

Preferred

Comprehensive IT knowledge, including Microsoft Office; ideally Alteryx and/or Tableau for data mining and modeling

Undergraduate 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