Mid-Level
Securities Services - Client Data Exchange Product Development - Associate
Be at the heart of transforming visions into market-ready products. Join a team where your expertise shapes the future of client data exchange, supporting change initiatives and driving innovation across Securities Services.
As an Associate in Client Data Exchange Product within the Securities Services Product Development team, you will play a pivotal role in transforming how client data distribution products are managed and delivered. You will lead the end-to-end product journey for significant institutional clients, collaborating with cross-functional teams, influencing product strategy, and driving the adoption of AI-enabled capabilities. Together, we will deliver innovative solutions and set new standards for client data exchange.
Job responsibilities:
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Lead the joint book of work for a major institutional client, acting as the primary product contact
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Build and maintain trusted relationships with client operational, technology, and middle office teams
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Translate complex client requirements into actionable product deliverables and influence roadmap priorities
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Own and drive the product vision and roadmap for client data distribution products
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Author scope documents and business requirements, ensuring accurate lifecycle event capture and data distribution formats (API, SWIFT, XML, FIX, CSV)
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Identify and implement product improvements to enhance straight-through processing and reduce manual intervention
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Navigate and influence a complex matrix organization, aligning stakeholders towards shared outcomes
Required qualifications, capabilities, and skills:
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Experience in product management or product ownership within financial services
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Deep understanding of post-trade operations, including trade lifecycle, settlements, corporate actions, and asset servicing
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Background in asset management or investment management operations, supporting Securities Services functions
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Proven experience managing large-scale client engagements and program deliveries
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Ability to navigate and influence complex matrix organizations through expertise and relationships
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Strong data analysis skills and working knowledge of AI, machine learning, and data analytics in financial services
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Proficiency in Microsoft Excel, Visio, PowerPoint, and JIRA
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Understanding of software development life cycle in agile and waterfall methodologies
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3+ years’ experience in Securities Services business support across product, operations, or technology
Preferred qualifications, capabilities, and skills:
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Experience in Instruction Capture with familiarity across SWIFT, FIX, XML, and CSV formats
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Hands-on exposure to AI tools, data platforms, or intelligent automation in financial services
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Experience with derivatives lifecycle management or expert systems for instruction capture
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Prior collaboration with a Chief Data & Analytics Office or equivalent data governance function
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Experience working in a diverse and inclusive environment
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Additional professional certifications relevant to product management or data analytics
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