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Listing record updated: October 16, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.

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About the position

This role is based in Bangkok at Kiatnakin Phatra Bank Public Company Limited and focuses on analyzing, designing, developing, and enhancing accounting systems and financial processes. Key responsibilities include gathering requirements from Accounting, Risk Management, IT, Operations, and Business teams, translating them into functional specifications and BRDs, and coordinating with IT and vendors throughout the system development lifecycle.

The position provides production support during month-end and period-end financial closing, performs root cause analysis on system incidents, and identifies process improvements for IFRS 9 systems. Candidates need a bachelor's degree in Accounting, Finance, IT, or a related field and 1–2 years of experience in accounting systems, financial systems, or business analysis.

Responsibilities

Analyze business, accounting, and regulatory requirements for IFRS 9-related projects, system enhancements, and changes in accounting processes.

Gather requirements from Accounting, Risk Management, IT, Operations, Business, and other stakeholders.

Translate business and accounting requirements into Functional Specifications, BRDs, data mapping, and test scenarios.

Coordinate with IT and vendors throughout the system development lifecycle.

Provide production support during month-end and period-end financial closing and analyze system incidents.

Requirements

Bachelor's degree or higher in Accounting, Finance, Information Technology, MIS, or a related field.

1–2 years of experience in accounting systems, financial systems, or Business Analysis.

Good understanding of Accounting Processes and Financial Products.

Experience in system implementation or enhancement projects.

Experience coordinating between Business and IT teams.

Nice to have

Knowledge of Data Mapping, ETL, and System Integration; Ability to use SQL for data analysis

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