Payments - Core Trade Digitization, Data and AI Delivery - Associate
Software Engineering, Data Science
Singapore
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.
- 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.
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
This Associate role is based in Singapore and sits within the Core Trade Digital Product team, with a focus on accelerating adoption and effective use of Core Trade digital solutions and platforms across APAC region for Corporate and Financial Institution (FI) clients. The role partners closely with product managers, engineering, operations, and coverage/sales teams to identify client pain points, synthesize market and usage signals into well-scoped product ideas, and support delivery through the full product lifecycle, from discovery through post-release monitoring. You will contribute to commercialization and enablement, and track adoption and performance metrics. The role emphasizes strong execution, cross-functional collaboration, and comfort leveraging data/analytics and AI-enabled tools to improve client experience and operational outcomes in a regulated environment.