Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Job Overview:

We are looking for a highly motivated and skilled individual to fill the dual role of Accounts Executive cum Quantity Surveyor. The ideal candidate will have a strong background in accounts management and quantity surveying, effectively handling financial and project-related responsibilities. This role combines financial operations, project monitoring, and tendering, requiring excellent analytical, organizational, and communication skills.

Job Requirements

• Strong Accounts background and Quantity Surveying knowledge.
• Proficient in MS Office and Accounting Systems.
• Able to work independently and under pressure.
• Excellent communication and negotiation skills.
• Diligent, meticulous, precise, and organized.
• At least 1 year of relevant experience.

Key Responsibilities

Accounts Management

Accounts Payable:

• Input data of inventories, invoices, and vendor details into the Accounting System.
• Ensure invoices match delivery orders and payments are issued promptly.
• Generate payment vouchers and issue cheques.
• Record payments into the Accounting System and maintain proper documentation.

Accounts Receivable:

• Generate invoices based on certified payments and follow up with clients for timely collection.
• Maintain proper documentation and records for AR matters.

Financial Reporting:

• Generate weekly Work-in-Progress (WIP) reports detailing revenue, COGS, labor costs, and other expenses.
• Prepare GST quarterly reports, Form C-S/C submissions, and liaise with auditors for statutory compliance.
• Assist in wage distribution and manage petty cash/reimbursements.

Quantity Surveying

Tendering for Projects:

• Analyze costs, prepare tenders, and submit quotations aligned with client specifications.
• Maintain client relationships through follow-ups and provide necessary documents like catalogues and company profiles.
• Proofread tender contracts and advise management on questionable clauses.

Monitoring Projects:

• Obtain feedback and progress reports from project teams.
• Ensure timely submission of progress claims and justifiable certification of payments.
• Apply variation charges for discrepancies between tender and approved drawings.
• Track project expenses and Accounts Receivable.

Finalizing Projects:

• Generate final project reports summarizing man-hours, COGS, and operating expenses.
• Finalize payments, track retention amounts, and record completed projects for future reference

Administrative Duties/Others

• Generate weekly management reports on progress claim status, WIP, and Accounts Receivable.
• Perform ad-hoc duties assigned by management.
• Maintain neat and systematic bookkeeping practices.

Reports to Generate:

• Quotation/Tender Summary and Master List.
• Weekly Work-in-Progress Reports.
• Progress Claim Status and Accounts Receivable.
• Final Settlement Reports for Completed Projects.

Office Location:

• Algas - Blk 5042 Ang Mo Kio Industrial Park 2, #01-515- S(569545)
• Valcan - 6 Ubi Road 1, Wintech Centre, #08-14, S(408726)

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Main Duties:

• Oversee the construction activities and progress, plan, implement and monitor work
• Schedule in accordance to the master and detailed work program
• Liaise with Professional Engineer on the Temporary works
• Liaise with consultants (QPS) for technical issues and coordinate the site activities with subcontractors
• Handle of technical and engineering problems
• Provide guidance to supervisors in relation to construction works, ensure progress according to schedule,
• Maintain quality standards, carry out site inspections and resolve technical issues on time
• Prepare report and method statement whenever necessary
• Manage and control workers and monitor their work closely to keep site safer and neat
• Supervise ongoing site activities closely

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Job Descriptions:

• Assist respondents in completing selected surveys online or through manual collection.
• Ensure timely submission of completed survey data into the company system.
• Perform daily updates of call outcomes using Excel files assigned to you, ensuring data accuracy and consistency.
• Collaborate closely with team members to ensure successful survey completion and achieve team targets.
• Accurately update daily reports in Excel to track productivity and performance metrics.
• Rectify any data errors or ambiguities identified during the survey data collection process.
• Maintain detailed and concise case notes in the company system for each respondent, recording call outcomes and any updates on assigned cases.
• Adhere to Standard Operating Procedures (SOPs) and ensure compliance with quality standards.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R22111375 Chua Jie Lin

Job and Responsibilities :

1. Cost Estimation : prepare accurate and detailed cost estimates for construction projects, considering materials, labor, equipment and other relevant factors.

2. Quantity Takeoff and Measurement : perform detailed quantity takeoff and measurement of materials and resources required for construction projects, using appropriate measurement methods and software tools.

3. Bill of Quantities : prepare comprehensive bills of quantities (BOQ) or schedules of rates based on the quantity takeoff, ensuring all project requirements are captured.

4. Cost Planning : develop cost plans and budgets for construction projects, analyzing project specifications, drawings and other relevant documents.

5. Tendering and Contracts : assist in the tendering process, including preparing and reviewing tender documents, conducting cost analysis, and participating in contract negotiation and award.

6. Procurement Support : collaborate with procurement teams to provide cost-related inputs and advice on the sourcing of materials, equipment, and subcontractors for construction projects.

7. Cost Control : monitor project costs throughout the construction process, reviewing and analyzing expenditures, and implementing cost control measures to ensure adherence to budgets.

8. Variation and Change Management : assess and manage variations and changes to construction projects, including evaluating the impact on costs, preparing cost estimates, and assisting in negotiations.

9. Payment Certifications : review and certify payment applications from contractors and subcontractors, ensuring compliance with contractual terms and conditions.

10. Cost Reporting and Analysis : prepare regular cost reports, including cost forecasts, cash flow projections, and cost analysis, to provide accurate and timely financial information to project stakeholders.

11. Contract Administration : provide support in contract administration, including evaluating and negotiating claims, resolving contractual disputes, and ensuring compliance with contract terms.

Location : Ubi

Work Day : 5 days

Time : 8.00am - 5.30pm

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Roles & Responsibilities

FIRECONTROL TECH is a well establish engineering company dedicated to providing practical and cost-effective design & built solutions for industrial applications to our client from conceptual to detailed design to installation to authorities permitting and project construction.

To support our growth, we require Quantity Surveyor cum Admin Executive to assist to:

· Monitor and manage the overall construction cost, including subcontractors’ progress billing, construction expenses and cost of variation order.

· Clarify the details of scope of work and technical issues with clients / sub-contractors.

· Liaise with technical team to ensure quotations are aligned with specifications and construction method.

· Tender quantity taking off and calling/preparing quotation.

· Manage extension of time and costs claims.

· Review and prepare agreements for award to subcontractors and suppliers.

· Prepare and submit progress claims, weekly and monthly progress cost control, cashflow and claims reports.

· Monitor and follow up with client/ maincon on payment certification status and payment.

· Assist in preparation of documents e.g. purchase order.

· Perform data-entry and maintain company records.

· Assist company to reach out to potential clients e.g. cold-emailing and follow up.

· Conduct research (and compile data as needed), periodic & ad-hoc check for information online or with vendor.

· Perform other administrative duties as assigned.

Requirements:

· Diploma/Degree in Quantity Surveying or Construction Management or Engineering.

· Minimum 3 years relevant experience in building construction environment.

· Proficient in MS Office and Costing management reporting.

· Proactive, resourceful, motivated and attentive to details.

· Strong negotiation, interpersonal skills and a team player.

· Those with lesser experience will be considered for Junior appointment.

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Roles & Responsibilities:

• Lead the quantity surveying team in contract administration to ensure quality and timely delivery of assigned tasks.
• Lead contract negotiations with clients and subcontractors to achieve favorable terms.
• Participate in the project tender process, leading the team in tabulating quantities and pricing.
• Draft, review, and negotiate contracts, subcontracts, and amendments.
• Prepare and monitor project cost budgets; track changes in design and construction work; manage variations; and adjust budget projections accordingly.
• Administer progress claims, back-charges, variation orders, indemnity warranties, final accounts, and collections.
• Provide management reporting.

Requirements:

• Bachelor’s Degree or Diploma in Quantity Surveying / Building Construction / Civil Engineering.
• Minimum of 8 years of experience in quantity surveying or contract administration in a similar role within the construction industry, with at least 4 years working for a main contractor being advantageous.
• Strong understanding of construction contracts and have good knowledge of relevant laws, regulations, and industry standards.
• Ability to manage multiple contracts and projects simultaneously.
• Proficiency in AutoCAD is a plus.
• Meticulous and analytical, with excellent negotiation, communication, and leadership skills.

Job and Responsibilities :

1. Cost Estimation : prepare accurate and detailed cost estimates for construction projects, considering materials, labor, equipment and other relevant factors.

2. Quantity Takeoff and Measurement : perform detailed quantity takeoff and measurement of materials and resources required for construction projects, using appropriate measurement methods and software tools.

3. Bill of Quantities : prepare comprehensive bills of quantities (BOQ) or schedules of rates based on the quantity takeoff, ensuring all project requirements are captured.

4. Cost Planning : develop cost plans and budgets for construction projects, analyzing project specifications, drawings and other relevant documents.

5. Tendering and Contracts : assist in the tendering process, including preparing and reviewing tender documents, conducting cost analysis, and participating in contract negotiation and award.

6. Procurement Support : collaborate with procurement teams to provide cost-related inputs and advice on the sourcing of materials, equipment, and subcontractors for construction projects.

7. Cost Control : monitor project costs throughout the construction process, reviewing and analyzing expenditures, and implementing cost control measures to ensure adherence to budgets.

8. Variation and Change Management : assess and manage variations and changes to construction projects, including evaluating the impact on costs, preparing cost estimates, and assisting in negotiations.

9. Payment Certifications : review and certify payment applications from contractors and subcontractors, ensuring compliance with contractual terms and conditions.

10. Cost Reporting and Analysis : prepare regular cost reports, including cost forecasts, cash flow projections, and cost analysis, to provide accurate and timely financial information to project stakeholders.

11. Contract Administration : provide support in contract administration, including evaluating and negotiating claims, resolving contractual disputes, and ensuring compliance with contract terms.

Location : Ubi

Work Day : 5 days

Time : 8.00am - 5.30pm

Admin Assistant (Construction)

• Working day: 5.5day (Mon-Fri 9am-6pm ; Sat 9am-1pm)
• Working location: Tuas – Transport Provide from Tuas Link MRT
• Salary: $2,400 - $2,600 (Experience can ask higher, up to $3k)

Requirement:

• At least relevant working experience in Construction Industry

Responsibility:

• Answer and direct phone calls
• Organize and schedule appointments
• Plan meetings and take detailed minutes
• Write and distribute email, correspondence memos, letters, faxes and forms
• Assist in the preparation of regularly scheduled reports
• Develop and maintain a filing system
• Update and mainta
• in office policies and procedures
• Order office supplie
• Maintain contact lists
• Book travel arrangements
• Submit and reconcile expense reports
• Provide general support to visitors
• Act as the point of contact for internal and external clients
• Liaise with executive and senior administrative assistants to handle requests and queries from senior managers

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Roles & Responsibilities

• Quantity Surveyor Job Description
• The major duties, tasks, and responsibilities that typically make up the quantity surveyor job description are shown below:
• Examining and reviewing or assessing construction plans and preparing quantity requirements
• Liaising and working collaboratively with site managers, clients, contractors, subcontractors, and stakeholders
• Gathering and preparing reports, analyses, contracts, budgets, risk assessments, and other necessary and relevant documents and forwarding them to the appropriate management or personnel
• Providing advice, recommendations, and suggestions to managers and clients on innovative improvements and new strategies
• Documenting relevant changes in design and updating budgets when required
• Building and maintaining healthy and professional relationships with internal and external stakeholders

Duties & Responsibilities

• Good knowledge of contract and QS procedures and pricing.
• Experienced in procurement, budgeting, estimation, contract administration, measurement of quantities & variation orders
• Compile photos, inspection forms, and all relevant documents required for VOs attachment.
• Well-developed verbal and written communications skill, strong interpersonal & negotiation skills
• Prepare tender documents, contracts, budgets, bills of quantities, and other documentation
• Any other ad-hoc tasks assigned by Superior.

Requirements

• Candidate must possess at least Bachelor's Degree/Professional Degree in Engineering (Civil), Quantity Survey or equivalent.
• 2 ~ 3 years of relevant working experience (QS);
• Demonstrate proficiency and competency in a project QS function and can work independently.
• Traveling from the office to various sites when required