Officer, Finance system management (Data, AI)

Job Purpose

• Participate in the operation and continuous improvement of Finance systems, integrations, and approved automation solutions, including AI‑enabled tools and agent‑based workflows, by executing assigned system, data, and reporting tasks to support well‑controlled Finance processes and accurate, timely management information.

Key Accountabilities

1) Finance Applications Development & Support

• Design, configure, enhance, and operate Finance systems and tools (e.g., ERP/EPM, Finance add‑ons, integrations, AI and automation services) within approved architectures and standards.
• Participate in the end‑to‑end delivery of system enhancements, including requirements clarification, solution design, configuration, integration, testing, deployment, and post‑go‑live support under agreed scope.
• Execute assigned configuration and integration tasks independently, escalating design or control impacts beyond approved scope to senior staff.
• Prepare and maintain system documentation, technical notes, operating procedures, and knowledge materials in accordance with established standards.

2) AI & Intelligent Automation Development

• Develop, test, and operate rule‑based and AI‑enabled automation solutions for Finance use cases
• Create and refine prompts, interaction flows, and processing logic for AI‑supported Finance applications in accordance with approved guardrails and usage guidelines.
• Validate automation and AI outputs for accuracy, completeness, and reasonableness; identify errors, limitations, or abnormal behaviors and take corrective actions or escalate as required.
• Support implementation of basic quality checks and operational metrics (e.g., run success, exception rates) for AI‑supported and automated processes.

3) Agentic Agents & Integrations

• Design, build, and operate agentic workflows and task‑based agents to support Finance processes, under defined architecture patterns and control frameworks.
• Implement agent capabilities such as task decomposition, tool usage, data retrieval, and workflow execution for assigned Finance use cases.
• Configure agent connections to Finance systems, reporting processes, and approved tools, ensuring proper access controls and compliance with least‑privilege principles.
• Perform testing, monitoring, and troubleshooting of agent‑based processes; handle exceptions and escalate issues impacting controls, compliance, or system stability.

4) Automation Platforms & Efficiency Improvement

• Build and operate automation and agent‑based solutions on approved platforms to reduce manual effort and improve process efficiency in Finance activities.
• Identify manual, repetitive, or error‑prone Finance tasks and propose practical automation or agent‑assisted solutions for review and prioritization.
• Track basic execution data and operational feedback for developed automations (e.g., run results, exceptions, usage observations) to support benefit assessment.

5) Data, Security & Compliance

• Ensure developed systems, automations, and agents comply with data privacy, access control, and segregation of duties (SoD) requirements defined by Finance and the Bank.
• Follow approved controls and instructions when handling financial data, PII, system credentials, and AI inputs/outputs in accordance with internal policies and regulations (e.g., Vietnam PDPD – Decree 13/2023).
• Maintain required technical logs, configuration records, and operational evidence for audits, inspections, and internal reviews.
• Promptly report control gaps, data issues, or security concerns identified during development or operation of systems and agent‑based solutions.

6) Stakeholder & Vendor Coordination

• Work closely with Finance users, IT, MIS, and Risk teams to understand requirements, implement solutions, and resolve system or automation issues.
• Support coordination with external vendors or technology partners on solution development, defect resolution, or enhancement activities under assigned scope.
• Participate in training, knowledge transfer, and user onboarding activities related to Finance systems, automations, and agent‑based solutions.

Success Profile - Qualification and Experiences

• 0-2 years in Banking or Finance Systems, Transformation, or Data/AI Engineering roles supporting Finance.
• Hands‑on ownership of Banking applications (Finance preferred) (configuration/enhancements) andsecure API integrations.
• Delivered productionrule‑based and applied‑AI automations with guardrails, human‑in‑the‑loop, and observability (quality & cost metrics).
• Built orchestrated/agentic workflows (planner/executor/critic/router patterns), with idempotency, retries/backoff, and timeout/circuit‑breaker strategies.
• Strong on controls & compliance: least‑privilege, SoD, PII/privacy (PDPD/Decree 13, GDPR where applicable), audit trails and evidence.
• Technical stack:SQL + Python (or similar), cloud experience (Azure preferred, GCP/AWS acceptable), CI/CD and version control.
• Proven testing & release discipline: unit/integration/UAT, change management, runbooks, and hyper care.
• Excellent stakeholder communication; English & Vietnamese working proficiency.

Success Profile - Culture Fit (Core Values)

• Strong interest in AI, automation, and modern Finance technologies
• Respect for control, compliance, and responsible AI usage
• Willingness to experiment, learn, and iterate in a controlled Finance environment
• Collaboration mindset across Finance and Technology
• Focus on efficiency through automation, not manual work

Success Profile - Personal Attributes

• High integrity, control‑conscious, and responsible
• Logical, curious, and technically minded
• Comfortable working with ambiguity, evolving tools, and AI behavior
• Persistent problem‑solver with strong ownership mindset
• Clear communicator across technical and non‑technical audiences