Payments Core Trade Digitization, Data and AI Delivery Associate

Key Responsibilities:

• Drive APAC Corporate and FI client adoption of Core Trade digital platforms and solutions by partnering with Coverage/Sales on client engagements demonstrations onboarding support and feedback loops and by articulating value propositions aligned to different client operating models and trade workflows.
• Run a strong voice of the client loop by capturing synthesizing and communicating client feedback into actionable inputs for discovery and prioritization.
• Translate client market and operational insights into clear problem statements and into scoped backlog items suitable for delivery with traceability to measurable outcomes.
• Support new digital product development and enhancements for Core Trade by coordinating stakeholder inputs and supporting end-to-end execution across discovery through delivery
• Contribute to discovery and market research by synthesizing client feedback competitor scans usage analytics and operational observations and by translating findings into decision-ready inputs for the product roadmap and quarterly planning.
• Contribute to and maintain an inventory of Core Trade digital offerings as an internal enablement artifact including key capabilities intended client segments positioning notes enablement materials and adoption status.
• Assist commercialization by developing go-to-market materials coordinating with Coverage/Sales and Marketing partners and tracking early adoption and commercial outcomes in partnership with product leads.
• Help run enablement by preparing and delivering internal training materials and demos to strengthen product understanding and adoption across partner teams including Coverage/Sales Operations Engineering and implementation partners.
• Support continuous improvement by documenting current-state workflows identifying process gaps and friction points and proposing enhancements including AI-enabled automation opportunities and lightweight prototypes where appropriate and permitted.
• Track success metrics for digital initiatives and leverage analytics and AI-assisted insights to identify trends anomalies and improvement opportunities.
• Maintain ongoing awareness of regulatory security and governance standards relevant to digital products data handling model risk considerations and AI usage escalating concerns and coordinating with appropriate control partners as needed.

Required Qualifications Capabilities and Skills:

• Minimum 3 years of experience in Trade Finance digital initiatives AI product business analysis or a closely related domain.
• Bachelors degree in finance architectural technology or other related disciplines
• Working knowledge of the product development lifecycle (discovery delivery) including requirements definition solution design release readiness activities and post-release monitoring.
• Demonstrated comfort with data and analytics including defining KPIs analyzing usage and performance data and communicating insights clearly to diverse stakeholder groups.
• Comfort and ability to leverage AI-enabled tools and approaches for product design and delivery with sound judgment regarding appropriate use data sensitivity and governance expectations.
• Strong stakeholder management and collaboration skills with the ability to coordinate across Product Engineering Operations Coverage/Sales and functional partners.
• Clear communication skills with the ability to translate complex processes into practical decision-ready materials.
• Strong execution discipline including prioritization attention to detail and follow-through in a multi-stakeholder environment.

Preferred Qualifications

• Experience supporting digital adoption initiatives in a client-facing context for Corporate and FI clients including demos enablement and structured feedback management.
• Familiarity with trade finance workflows and documentation concepts or demonstrated ability to learn quickly.
• Experience contributing to agile delivery practices (for example sprint ceremonies and backlog refinement) including writing user stories and supporting testing and release activities.
• Exposure to process mapping and continuous improvement approaches (for example Lean methods) and familiarity with automation concepts including identification of candidates for digitization and AI-enabled efficiency.
• Experience working across APAC markets and with regionally diverse Corporate and FI client requirements and operating models while operating from a Singapore-based hub.