Singapore Quantity Surveyor | Cost Control & Tender Expert

GRD BUILDERS PTE. LTD.; Singapore; On-site; SGD 48,000 - 72,000; Full time

Job summary

GRD BUILDERS PTE. LTD. is seeking a qualified Quantity Surveyor to manage project cost budgeting, quantity takeoffs, quotations and tender documents in Singapore.

The role requires close collaboration with clients, main contractors and suppliers, and bilingual English/Chinese communication to ensure accurate cost forecasting and timely approvals. You will monitor on-site progress for cost control, assist the project manager with cost optimization, and apply local standards from BCA, MOM, HDB and

Qualifications

• At least 2 years of QS experience in Singapore.
• Familiar with local construction processes, unit prices, materials, and processes.
• Experience in renovation or general contracting is a plus.

Responsibilities

• Responsible for project cost budgeting, quantity calculation, quotation, and tender document preparation.
• Familiar with Singapore's BCA, MOM, HDB, URA, and other relevant standards and procedures.
• Communicate and coordinate with clients, main contractors, and suppliers (bilingual in English and Chinese required).
• Responsible for progress payment applications, change orders (VOs), and final settlement.
• Monitor on-site construction progress to ensure cost control and schedule consistency.
• Assist the project manager in analyzing and optimizing project costs.

Skills

Bilingual English-Chinese

Communication skills

Independent work

Education

QS diploma/degree

Tools

AutoCAD

CostX

Microsoft Office

Job description

GRD BUILDERS PTE. LTD. is seeking a qualified Quantity Surveyor to manage project cost budgeting, quantity takeoffs, quotations and tender documents in Singapore.

The role requires close collaboration with clients, main contractors and suppliers, and bilingual English/Chinese communication to ensure accurate cost forecasting and timely approvals. You will monitor on-site progress for cost control, assist the project manager with cost optimization, and apply local standards from BCA, MOM, HDB and