Senior Treasury Accountant

Hạn nộp hồ sơ: 07/06/2026 (Còn 3 ngày)

Địa điểm làm việc:

Hồ Chí Minh

27B Nguyễn Đình Chiểu, Đa Kao, Quận 1, Hồ Chí Minh

(Trước sáp nhập: Quận 1, Hồ Chí Minh | Sau sáp nhập: Sài Gòn, Hồ Chí Minh)

CV CỦA BẠN CÓ PHÙ HỢP VỚI VIỆC LÀM NÀY?

Chi Tiết Công Việc

Manage daily treasury-related tasks including cash positioning, bank transactions, and funds availability.
Coordinate and liaise directly with multiple banks to ensure timely execution of payments, receipts, FX transactions, and other banking activities.
Maintain and manage bank accounts, including opening/closing accounts, updating authorized signatories, and ensuring compliance with internal and external requirements.
Manage administrative procedures and documentation required for banking transactions.
Review bank documentation, contracts and agreements to safeguard the company’s best interests.
Ensure all treasury activities comply with company policies, internal controls, and banking regulations.
Monitor bank fees and recommend cost optimization opportunities.
Prepare, update, and monitor daily/weekly/monthly cashflow reports.
Support cashflow forecasting and coordinate closely with Finance, Accounting, and other departments to ensure liquidity for operations.
Identify cashflow risks and propose mitigation measures.
Provide treasury-related data for internal and external audits.
Support reconciliation tasks, especially bank-related reconciliations and legacy data cleanup (with support from temporary data analysts if engaged).
Enhance treasury control processes to reduce manual errors and mitigate risks.
Support the rollout of improvements in banking processes, automation, or system integration.

Bachelor’s degree in accounting, Finance, or related field.
Minimum 4 years of progressive experience in treasury accounting.
In-depth knowledge of Vietnamese Accounting Standards.
Excellent analytical, organizational, and leadership skills.
Ability to work under pressure, meet tight deadlines, and manage competing priorities.

Kỹ năng:

Data Warehouse , SQL , Big Data