Digital Product & AI Automation Engineer – Cash Management

Job Overview

Join the Cash Management Product Development team to support digital solutions across Corporate Internet Banking, Transaction Banking, Omni-Channel Banking, and the Banking Ecosystem. Work with business, risk, operations, data, and IT teams to understand customer needs, develop business requirements, map end-to-end workflows, and explore system architecture and connectivity. Use AI tools, data analysis, and hands-on prototyping to turn ideas into practical solutions. This role offers opportunities to learn by building and testing solutions with guidance from experienced team members.

Key Responsibilities

1. Product & Journey Analysis — Work with Cash Management and related banking product teams to understand product features, customer needs, and internal processes. Map customer and operational journeys, identify improvement opportunities, and help create interactive prototypes using AI-assisted tools and data insights.

2. End-to-End Solution & Workflow Design — Support the design of end-to-end processes, workflow diagrams, and solution concepts across Corporate Internet Banking, Transaction Banking, Omni-Channel, and ecosystem platforms. Help visualize system connections, user journeys, and UX/UI prototypes while considering business controls and regulatory requirements.

3. Business, Risk & Functional Requirements — Gather, analyze, and document business requirements, relevant risk and control requirements, and functional details for IT development. Support requirement reviews, maintain clear links between needs and proposed solutions, and build simple prototypes to align stakeholders.

4. Scenario Design, Feasibility Testing & Quality Validation — Help prepare test scenarios, test cases, and basic feasibility checks to confirm solutions meet business needs. Work with IT and UAT teams to validate user flows, identify potential customer or operational impacts, and use simulated data or AI-assisted testing where appropriate.

5. Data Engineering, Predictive Analytics & Visualization — Collaborate with data teams to define data needs, check data quality, and understand data flows across banking and partner systems. Support data preparation, exploratory analysis, basic predictive-model experiments, and interactive dashboards or prototypes that inform product decisions.

Qualification

• Bachelor’s degree in Computer Engineering, Computer Science, Software Engineering, Data Science, or a related field.

• Fresh graduates and applicants with 0–2 years of experience are welcome.

• Good logical thinking, curiosity, problem-solving skills, and an interest in building practical digital solutions.

• Basic coding or technical project experience, with willingness to learn business requirements, workflow design, and testing.

• Able to communicate and collaborate with business and technical colleagues; banking experience is not required.