Total 6,074 tech support job vacancies in Singapore

We are seeking an admin executive for our client, ST Engineering.

Job Title: Executive (NSREC)

Job Description:

1. Provide administrative support to NSREC admin and operations.

2. Working knowledge or proficient in MS Word and Excel.

3. Process oriented and able to work well on data details.

4. Good spoken and written English and other languages if any.

5. Experience with customer services if any.

Job Requirements:

EDUCATION

Diploma.

Fresh graduates can be considered.

SKILLS

Good interpersonal and communication skills with passion for customer service.

Good command of English (written and spoken) is preferred.

IT savvy and familiar with common software.

Please click apply, or submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Goh Kwan Way Marc

EA License No : 06C4642

EA Reg No : R24120754

We regret that only shortlisted candidates will be notified.

- Experience in ELV system such as Audio/Video; CCTV and security and surveillance system.

- Door Access system installation & troubling-shooting

- Alarm system installation & troubling-shooting

- Electrical Power installation & trouble-shooting

- Cable Cat6 and Fiber installation & troubling-shooting

- Fiber optic cable splicing and Testing

- ELV device installation, configuration and troubling-shooting

- NVR & CCTV device installation, configuration and troubling-shooting

- Supervise a team of technician

- More than 8-ears experience in related fields

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.

About Innowave Tech

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.

Why Join Us

As our clientele expands within the semiconductor and advanced manufacturing sectors, our team needs to expand accordingly. If you possess quick learning abilities and thrive in a rapidly evolving environment, this is the perfect opportunity to join us !

Key Responsibilities

• Assist in the development and maintenance of C# Windows Forms applications.
• Contribute to the development of console applications using C#.
• Work closely with the development team to understand requirements and implement solutions.
• Participate in code reviews and adhere to coding standards and best practices.
• Help document code and maintain software documentation.

Requirements

• Only Singaporean, Singapore PR, Malaysian, and local graduate bonded for local employment can apply due to MoM regulation.
• Currently pursuing or recently graduated with a degree in Computer Science, Software Engineering, or related field.
• Basic understanding of C# and .NET framework.
• Familiarity with Windows Forms and console applications development is a plus.
• Strong problem-solving skills and a willingness to learn.
• Excellent communication and teamwork skills.

What We Offer

• A collaborative and supportive environment to grow your skills.
• Hands-on experience working on real-world projects.
• Guidance and mentoring from experienced software developers.
• Opportunity to contribute to impactful projects.

Screen Questions to emphasize in resume

1. Are you Singaporean/PR, Malaysian/NAS Work Permit holders, or local graduate bonded for local employment?
2. Do you have strong problem-solving skills and a willingness to learn?
3. Are you able to commence work in one month notice or less?

Responsibilties

• Lead the engineering teams within the verticle
• Evaluating and analyzing existing processes and procedures to identify areas of improvements
• Oversee the projects by planning, prioritizing tasks, resource allocation, giving instructions, reviewing code and implementation
• Collaborate with Product Managers, Designers and other key stakeholders to deliver on key priorities
• Strategic thinking to deliver end-to-end user experience solutions with a focus on user needs and business goals

Requirements

• 6-10 years of software engineering experience
• Degree in computer science, information security, or a related subject
• Familiarity with backend development related technology stacks
• Experience leading design and implementation of a highly scalable web services
• Strong interpersonal and communication abilities work successfully with stakeholders
• Great time management skills while working under tight timeline
• Strong analytical and problem-solving skills
• Ability to communicate in mandarin with our stakeholders would be an added advantage

User Experience Management Consultant

Requirements:

• Degree in IT, Management, Psychology, Data Analysis or equivalent
• Minimum 3-5 years of relevant experience
• Understanding of Experience Management concept (CX / DT background is a plus)
• Basic knowledge on XM tools (preferable Qualtrics)
• Research and need analysis capability
• Customer / Partner Journey mapping, Customer segmentation and personas creation
• Service blueprint design
• Collect and coordinate data (rules, survey standards, metrics selection)
• Analytical approaches, reporting and create dashboard
• Implement, roll out and communicate XM as per XM framework (from Nang)
• Candidates can be not fully IT background. Psychology and Data Analyst background are possible.
• Prefer candidates who are skilled in business case calculation, business analysts.
• Excellent communication and interpersonal skills

Interested applicants please forward your updated profile to [email protected]

• Well Established Company
• Basic $3000 - $3600 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location : Tuas (Transport Provided)
• Working days : Monday to Friday
• Working hours : 8am to 5pm

Job Responsibilities:

• To supervise and support the functions of incoming waste segregation including bulk waste and loose waste as well as weighbridge
• To constantly monitor improve the department performance. To conduct periodic review of existing work flows and procedures, and make recommendations for improvements and executing the improvement plans
• To supervise and ensure the effectiveness and smoothness of waste unloading, segregation and distribution
• Daily and regular inspection of the plant processes and monitor the working area 5S and TPM activities, safety and discipline at works, machineries and equipment conditions
• Ensure incoming waste streams being checked properly for suitable treatment processes and current safe work procedures are suitable for handling by operation staff
• As the core coordinator, lead and monitor the communication flow among internal departments on incoming waste discrepancy and revise related SOPs accordingly
• To evaluate and develop new treatment methods and handling procedures for new and unknown wastes, and review of operation costs and regular update to management
• To implement and supervise correct EHS practices within the department
• To work with resale for arrangement of recovered products to minimize the storage
• To prepare and analyze daily and monthly operation records/reports (e.g., cost, productivity, quality, nonconformance, etc) on plant processing and maintenance. And follow up necessary corrective actions and monitor consistently to relevant department staffs to follow up closely
• Regular briefing / training to be conducted to department staffs for safety handling of high flammable solvent, MSDS, PPE requirement and risk assessment before operations
• To activate emergency response team of operation and maintenance staffs and response to any in house spill and fire incident if in case of emergency situation.
• To liaise with EHS department to ensure fellow dept staff are upkeep with method of handling and emergency equipment usages in terms of spills and fire incident and to conduct regular practice and drill exercises with different scenarios to workers so that they are well familiar in emergency to response in time
• To ensure all fellow staffs are well trained according to OJT program and ensure they can follow up SOPs and work safely

Requirements:

• Degree in Engineering or Chemistry
• At least 2 years relevant experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

THIEN CHING MEI (R2198032)

EA Recruitment Pte Ltd

EA License No: 21C0492

• MNC
• Basic $1800 - $2400 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Changi
• Working days: Monday to Friday

Job Responsibilities:

• Picking and packing customer orders for despatch and / or shipping tasks
• Move stocks around either by provided trolleys and / or hand-pallet jacks
• Receive goods and put away to storage locations
• Carry out inventory cycle count as and when required to
• Ensure any manual lifting and manoeuvring of products is carried out in accordance with manual handling procedures
• Operate in a safe manner complying with all Health, Safety and Environmental requirements to ensure own and safety of others
• Keep the Management informed of any discrepancy, abnormality, and potential safety hazard(s), whether it is work or non-work related
• Keep areas of work clean and tidy to ensure operational efficiency, where daily housekeeping is mandatory
• Any ad-hoc duties

Requirements:

• Min 1-year relevant experience
• Experience in warehouse shipping, able to reply email and work on excel

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

THIEN CHING MEI (R2198032)

EA Recruitment Pte Ltd

EA License No: 21C0492

PRISM+ is the largest Singaporean direct-to-consumer smart home appliances brand. Our mission is to offer cutting-edge products to the masses at affordable prices. We are a rapidly growing, ever-evolving organisation, and we are seeking new teammates to join us on our exciting journey.

Responsibilities:

• Ensure timely, accurate month-end closing and financial reporting to Management
• Responsible for preparation and closing of monthly management account annual financial statements
• Responsible for accounting processes and tasks which includes GL, account reconciliation, schedule maintenance etc.
• Coordinate and liaise with internal department members to support all accounting reporting and operation matters
• Coordinate and liaise with external parties like external auditors, tax agents, corporate secretarial agents, local tax and government authorities as and when required
• Support and ensure compliance with all finance filing requirements, tax filing requirement (GST), audits, procedures and forms both statutory and internal
• Assist in new processes and system implementation when require
• Participate in ad-hoc projects

Requirements:

• Bachelor's degree in Accounting or Finance
• Minimum of 2 years of experience as a Finance executive with full set accounting experience
• Strong knowledge of accounting principles and practices
• Proficiency in using accounting software, such as Xero
• Excellent attention to detail and accuracy
• Strong analytical and problem-solving skills
• Solid understanding of financial statements and financial analysis techniques
• Exceptional organizational and time management skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• Strong ethical standards and commitment to confidentiality
• Proficient in Microsoft Excel and other Microsoft Office applications

Roles & Responsibilities

Job Description:

People supervision

· Provide hands-on coaching and supervision to relevant accounting staff assigned to the entity/entities.

Accounting and reporting

· Ownership of the process to prepare the accounts for the entities assigned in strict adherence to deadlines and instructions given by the region or group.

· Ownership of accounting areas for entity reporting including but not limited to impairment reviews, revenue recognition, leaving indemnities, asset physical counts.

· Key contact with external auditors and internal auditors in planning, executing and completing audits for the assigned entity/entities.

· Perform hands on accounting and month end close activities and reviews; ensuring revenue and costs/overheads completeness and accuracy.

· Institute monthly comprehensive on and off balance sheet risk review and accounts reconciliations; take immediate actions to address risk and ensure balance sheet items are fairly stated at all times.

Compliances and controls

· Ensure filing deadlines for the entities are met and issues addressed promptly.

· Collate and review, monthly and year end reconciliation of local entity statutory results to group reporting ensuring that differences, if any, are approved, adequately documented and appropriate.

· Implement and ensure standard processes and related controls, including but not limited to purchase to pay, order to collection and month end processes, are fully complied.

· Ownership of compliances to Group’s policies, procedures and deadlines.

Cash and Taxation

· Ownership of proper tax compliances and filing for both direct and indirect taxes in the entities assigned.

· Liaise closely with HR/payroll on personal income tax liability and exposures.

· Follow up diligently on cash collections via timely information provision and discussions with local commercial and operations team, highlighting issues and actions promptly.

Other

· Support budgeting process

· Participation in other group and regional initiatives

. Preparation and reporting of budget and forecast and management reports. Analyse financial performance against budget and forecast.

Job Requirements:

Technical

· An ACCA, CPA or CA qualified accountant preferably with some audit experience.

· Proven operational finance experience in a contracting business within a multinational and multicurrency setting.

· Up to date and relevant IFRS knowledge with proven application in commercial and real life business scenarios

· IT savvy and hands-on experience with ERP systems essential

. Preform monthly reporting consolidation report experience in advantage

Personal

· Must possess the drive and credibility.

· A mature and highly responsible self-starter, with effective written and oral communication skills, who is committed to deliver operational excellence.

· Needs to be very systematic, meticulous and hands-on.

· Able to manage own time and prioritise workload to deliver against corporate timetables in a complex, conflicting and often time pressured environment.

· A team player with highest level of integrity.

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.

Sales Administration / Support

• Process Customers’ Purchase Orders by raising Customer Order Processing (COP) forms and performing stock reservations.
• To raise and issue purchaserequisition of equipment, spare parts, and accessories required for projects and ad-hoc orders and submit for approval.
• Correspond with customers, manufacturers, vendors and suppliers via email/phone for shipment status.
• Responsible for expediting the receivables and deliverables of ordered goods and identifying ordered equipment to prepare material take-off schedule for orders.
• Coordinate, liaise, and work with the Warehouse and Logistics Department to ensure that goods are packed and delivered on time to customers.
• Attend to customer inquiries (via phone/email) for prices and stock positions or customer complaints (e.g., invoice disputes) and ensure necessary actions are taken and followed through.
• Assist Sales Manager(s) / Assistant Sales Manager(s) in drafting proposals and quotations to customers.
• Assist Sales Manager(s) / Assistant Sales Manager(s) collating multiple variations for projects for price negotiation with customer(s).
• Ensure that all filings are in order.
• Perform other ad-hoc duties as assigned by the Head of Sales / Sales Manager(s) / Assistant Sales Manager(s).

Marketing Communication

• Assist Sales Manager(s) / Assistant Sales Manager(s) in organising and/or coordinating events e.g. Trade exhibitions, road shows, new product seminars, etc
• Assist Sales Manager(s) / Assistant Sales Manager(s) in organising and/or coordinating internal events, eg. Dealer meetings.
• Prepare and organise marketing collaterals.
• In charge of maintaining and ensuring the Company’s website content is current and up to date.
• Assist Sales Manager(s) / Assistant Sales Manager(s) to liaise with partners of trade magazines and media agencies.

Requirements:

• GCE ‘N’/’O’ Level with at least 6 - 7 years of related working experiences.
• Diploma holder preferably in Business Administration or other relevant with at least 4 - 5 years of related working experiences.
• Degree holder preferably in Business Administration or other relevant with 3-4 years of related working experiences.
• Proficient in Microsoft Office applications (Excel, Word, Outlook and PowerPoint).
• Experienced in ERP, preferably NetSuite, will be advantageous.
• Navigation communication product knowledge preferred.

HOW TO APPLY:

Interested applicants, please click on “Apply Now” and provide the below details in your resume.

We regret only shortlisted candidates will be notified.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Ding Xin Er

EA Personnel Reg No: R22106669

Job Title: Java Application Support Engineer

We are hiring under Recruit Express headcount, and you will be deployed to:

Location: CBD

Pay: $4500- $5000

Duration: 1-year contract

Working Hours: Hybrid

Job Summary: The Application Support Engineer will be responsible for providing high-quality technical support for our software applications. This role requires a strong understanding of Java development, excellent problem-solving skills, and the ability to work collaboratively with cross-functional teams.

Key Responsibilities:

1. Application Support:Provide second and third-level support for Java-based applications.
   Diagnose and resolve technical issues in a timely and efficient manner.
   Monitor application performance and ensure system availability and reliability. Tools usage and scripting would be added advantage.
   
2. Troubleshooting:Analyze, identify, and resolve complex software issues.
   Debug and troubleshoot Java code to fix defects and performance issues.
   Utilize logs, monitoring tools, and other diagnostic methods to identify root causes.
   
3. Collaboration:Work closely with development teams to understand application functionalities and dependencies.
   Collaborate with cross-functional teams, including QA, DevOps, and Product Management, to resolve issues and improve applications.
   Communicate effectively with customers and stakeholders to provide updates and resolutions.
   
4. Development and Maintenance:Participate in the development and deployment of application updates and enhancements.
   Write and maintain documentation for application support processes and procedures.
   Contribute to continuous improvement initiatives to enhance application support and performance.
   
5. Incident and Problem Management:Manage and prioritize incident tickets and service requests.
   Escalate critical issues to appropriate teams and ensure timely resolution.
   Conduct root cause analysis and provide recommendations for preventing future incidents.
   

Qualifications:

• Education: Bachelor’s degree in computer science, Information Technology, or a related field.
• Experience: Minimum of 5 years of experience in Java development and application support.
• Technical Skills:Proficiency in Java and Java EE technologies.
  Understanding of web technologies (HTML, CSS, JavaScript) and frameworks (Spring, Hibernate).
  Experience with databases (SQL, Oracle, MySQL) and writing complex queries.
  Familiarity with version control systems (Git, SVN).
  Knowledge of application servers (Tomcat, JBoss, WebLogic) would be advantage.
  Experience with monitoring tools and logging frameworks.
  
• Soft Skills:Excellent problem-solving and analytical skills.
  Strong communication and interpersonal skills.
  Ability to work independently and as part of a team.
  Strong organizational skills and the ability to manage multiple priorities.
  

Interested applicants, please Email,

Fabian Ling Tuong Liing

Email Address: [email protected]

Outsourcing Team

Recruit Express Pte Ltd

EA Licence No: 99C4599

We regret that only shortlisted candidates will be contacted.

We are a tuition centre located at Ang Mo Kio Avenue 3, looking for an Admin and Student Care support staff to join us as part of our team!

Working Hours :

• 2 Weekdays, 12.15pm to 9.15pm
• Closed on public holidays

Job Description

• Handle walk-ins, telephone and email enquiries .
• Promote centre course sand provide course consultation to prospective parents and students.
• Coordinating and facilitating classes for the centre.
• Handle general administrative tasks pertaining to student and course registration matters.
• Supervision of Chinese homework and spelling for primary school children (primary 1 to 6)
• Responsible for new students enrollment daily.
• Follow up on sales enquiries with parents who enquire and collection of school fees.
• Take attendance and assign classrooms to teachers and students for daily course.
• Communicate with tutors, parents and/or students on starting classes or change of timing, and any other situation that may arise.
• Take photos of classes for marketing collaterals and helping in creating advertising materials.
• Simple cleaning
• Perform any ad hoc basis as assigned by manager.

Job Requirements:

• Minimum GCE O' Level or any related educational level.
• Minimum possess 1 year of relevant working experience in customer service role would be advantageous.
• Training would be provided for candidate that does not have relevant working experience.
• 2 Days of compulsory training is required.
• Must be able to work for the above timing mentioned.
• Able to commit full duration of the contract (1 year).
• Must be responsible and committed
• Able to work as a team
• Possess good working attitude and keen to learn.
• Bilingual in English and Chinese (in order to follow up on sales enquiries with Mandarin speaking parents in regards with the collection of school fees.)
• Proficient in Microsoft Office and adept with technology
• Must love children and comfortable working around them.
• Those can start work within short notice would be advantage.

Able to start work on short notice

Interested candidates are invited to apply online with a comprehensive resume. We are regret that only shortlisted candidates will be notified.

• Position: Aftersales Support Executive
• Working location : Boon Lay ( office)
• Working days : 5 days
• Working hours : 8am - 5pm
• Salary : $2,500-$3,500

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Description:

• Preparation of Quotation for both spare parts and service attendance to customer
• Preparation and issue service kits and spare parts to service engineers
• Maintain good rapport with customers
• Attend to technical enquiries from customers
• Pick & pack of spares when necessary
• Prepare shipping documentation and arrange delivery with courier companies

Job Requirements:

• Able to read and understand schematic and block diagrams(Training will be provided)
• Min. Diploma in Electrical and Electronic

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.

Join the Institute of Microelectronics (IME) to be immersed in cutting-edge semiconductor research. As a research institute within the Agency for Science, Technology and Research (A*STAR), IME bridges the gap between academia and industry. Our mission is to accelerate innovation in advanced packaging, piezoMEMS, SiC, RF/mmWave GaN, and photonics & sensors, and to develop talent and inspire in Singapore.

We are looking for a passionate individual to join our Technology-Business Development department. You will be responsible for sales and marketing, account management and industry development. If you're excited about the future of microelectronics and wish to contribute to the development of Singapore's innovation engine for microelectronics, we want you on our team!

Job Responsibilities

• Perform market intelligence, develop and execute go-to-market plans for commercialization of IME's research capabilities.
• Lead industry and customer engagements, understand their needs and work with Technology Development teams to formulate value propositions.
• Structure, review and negotiate contracts with industry partners and customers.
• Develop industry network, manage accounts and build relationships to win and retain industry partners and customers.

Job Requirements:

• Degree in Science or Engineering.
• Ability to think on the feet
• Result-oriented, analytical, proactive, resourceful and team player
• Good communication, presentation and interpersonal skills
• Resilience and adaptability to work in a fast-paced and fast-changing environment
• Passion to develop Singapore's semiconductor industry

Join the Institute of Microelectronics (IME) to be immersed in cutting-edge semiconductor research. As a research institute within the Agency for Science, Technology and Research (A*STAR), IME bridges the gap between academia and industry. Our mission is to accelerate innovation in advanced packaging, piezoMEMS, SiC, RF/mmWave GaN, and photonics & sensors, and to develop talent and inspire in Singapore.

We are looking for a passionate individual to join our Technology-Business Development department. You will be responsible for sales and marketing, account management and industry development. If you're excited about the future of microelectronics and wish to contribute to the development of Singapore's innovation engine for microelectronics, we want you on our team!

Job Responsibilities

• Perform market intelligence, develop and execute go-to-market plans for commercialization of IME's research capabilities.
• Lead industry and customer engagements, understand their needs and work with Technology Development teams to formulate value propositions.
• Structure, review and negotiate contracts with industry partners and customers.
• Develop industry network, manage accounts and build relationships to win and retain industry partners and customers.

Job Requirements:

• Degree in Science or Engineering.
• Ability to think on the feet
• Result-oriented, analytical, proactive, resourceful and team player
• Good communication, presentation and interpersonal skills
• Resilience and adaptability to work in a fast-paced and fast-changing environment
• Passion to develop Singapore's semiconductor industry

Responsibilities:

• Clerical duties and general administrative support
• Attend to phone calls, queries and emails
• Develop and maintain filing system
• Preparation of legal documents (training will be provided)
• Carry out simple payments, invoicing and receipts functions
• Archival of both digital and hard-copy documents

Requirements:

• Proficient in Microsoft Office and Outlook
• Organized and detail-oriented
• Strong customer service and communication skills

Customer Service:

· Handle incoming calls and emails from customers, addressing their inquiries, concerns, and providing accurate product/service information.

. Manage customer onboarding process

· Assist customers in a courteous and professional manner, ensuring exceptional service and satisfaction.

· Provide after-sales support, troubleshoot issues, and collaborate with relevant departments to ensure prompt resolution.

· Perform daily transaction checking.

· Consolidate customer settlement report.

· Maintain accurate records of customer interactions, transactions, comments, and feedback in the company's database.

· Generate reports and summaries as required by management.

Ad Hoc Duties:

· Support various departments with administrative tasks as needed.

· Assist in organizing company events, meetings, and conferences.

· Participate in process improvement initiatives to enhance customer service efficiency and effectiveness.

Qualifications:

· Minimum Higher NITEC, Diploma in Business, accouting or a related field

· Proven experience in customer service and accounting roles is preferred.

· Excellent verbal and written communication skills in English and Mandarin.

· Strong interpersonal skills and ability to build rapport with customers.

· Detail-oriented and organized with the ability to manage multiple tasks efficiently.

· Proficiency in Microsoft Office Suite (Word, Excel, Outlook, etc.).

· Ability to adapt to changing situations and work effectively in a fast-paced environment.

· Prior experience in customer service is a plus.

MCTPay is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Responsibilities:

• Provide a prompt and appropriate technical advice to Sales and Operation Personnel on their waste management enquiry which includes safe waste handling procedure and costing breakdown.
• Work closely with sales and operation department to establish a cost-effective treatment/recovery method for incoming/customer waste.
• Assist in providing advice and co-ordination work in technical-driven waste management.
• Improve existing and develop new treatment methods.
• Support of segregation of incoming waste and assign the waste to correct department, ensure the waste are being treated properly and safely.
• Assist in alternative treatment identification.
• Ensure good housekeeping in the laboratory and area of work.
• Follow the existing system and documentation as per the procedures.
• Update the relevant records and effectively communicate to relevant departments and people.

Requirements:

• Degree in Chemistry, Chemical Engineer, Environmental engineering or similar trades
• Minimum of 1- 2 years of chemical related industry
• Laboratory experience is an added advantage
• Able to work in outdoor environment due to nature of work in operation plants
• Good analytical abilities and communication skills

Qualified or interested candidates, please submit your updated resume in MS format by using the Apply Now Button or email to shinleng.liew(at)cvistahr.com

Candidates are also encouraged to contact our office where our approachable Consultants will address any inquiries and advice you with relation to this job advertisement. Our dedicated HR Consultants will get in touch with shortlisted candidates for a confidential discussion

R23119309 | EA License 16C7883

Sales Administration / Support

• Process Customers’ Purchase Orders by raising Customer Order Processing (COP) forms and performing stock reservations.
• To raise and issue purchase requisition of equipment, spare parts, and accessories required for projects and ad-hoc orders and submit for approval.
• Correspond with customers, manufacturers, vendors and suppliers via email/phone for shipment status.
• Responsible for expediting the receivables and deliverables of ordered goods and identifying ordered equipment to prepare material take-off schedule for orders.
• Coordinate, liaise, and work with the Warehouse and Logistics Department to ensure that goods are packed and delivered on time to customers.
• Attend to customer inquiries (via phone/email) for prices and stock positions or customer complaints (e.g., invoice disputes) and ensure necessary actions are taken and followed through.
• Assist Sales Manager(s) / Assistant Sales Manager(s) in drafting proposals and quotations to customers.
• Assist Sales Manager(s) / Assistant Sales Manager(s) collating multiple variations for projects for price negotiation with customer(s).
• Ensure that all filings are in order.
• Perform other ad-hoc duties as assigned by the Head of Sales / Sales Manager(s) / Assistant Sales Manager(s).

Marketing Communication

• Assist Sales Manager(s) / Assistant Sales Manager(s) in organising and/or coordinating events e.g. Trade exhibitions, road shows, new product seminars, etc
• Assist Sales Manager(s) / Assistant Sales Manager(s) in organising and/or coordinating internal events, eg. Dealer meetings.
• Prepare and organise marketing collaterals.
• In charge of maintaining and ensuring the Company’s website content is current and up to date.
• Assist Sales Manager(s) / Assistant Sales Manager(s) to liaise with partners of trade magazines and media agencies.

Requirements:

• Proficient in Microsoft Office applications (Excel, Word, Outlook and PowerPoint).
• Experienced in ERP, preferably NetSuite, will be advantageous.
• Navigation communication product knowledge preferred.

Interested applicants, kindly click on “APPLY NOW” or send your resume in MS WORD format to hestia.wong(at)trustrecruit.com.sg

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Wong Ying Huan (Hestia)

EA Personnel Reg No: R24122431

Location: Eunoia Junior College, 2 Sin Ming Place, Singapore 573838
Contract Period:

• Base Period: 1 Jan 2025 – 31 Dec 2025 (12 months)
• Option to Extend: Up to 2 additional years (2026–2027)

Responsibilities:

The Administrative Support Personnel will play a vital role in ensuring the efficient operation of the general office and library at Eunoia Junior College. The key duties include:

1. General Office and Library Operations:

• Collate data for the college.
• Manage daily student loans (e.g., laptops, uniforms).
• Oversee the booking and usage of discussion rooms.
• Update and maintain student and staff information.
• Organise office stores and physical library resources.

1. Resource Management:

• Design and decorate general office and library spaces.
• Maintain a collection of newspaper articles to support teaching and learning.
• Coordinate with suppliers on deliveries of office supplies, teaching resources, and library resources.
• Manage the loan of ICT/AV equipment.
  

1. Administrative Support:

• Print, photocopy, and file materials as required.
• Set up refreshments for meetings.
• Perform any other duties assigned by the Administration Manager (AM).
  

Working Hours:

• Mondays to Fridays: 12:30 PM – 7:00 PM (inclusive of 1-hour meal break).
• Off-days: Saturdays, Sundays, and gazetted public holidays.

Qualifications & Skills:

The ideal candidate will have the following qualifications and skills:

1. Minimum Qualifications

• GCSE O-level certification or equivalent.
  

1. Skills:

• Proficiency in basic IT skills, including Microsoft Office and data entry.
• Meticulous and highly organised.
• Strong communication skills in English.
• Good interpersonal skills for effective collaboration with staff and students.
  

1. Preferred Experience:

• Previous experience in administrative services is highly desirable.

Name of School: Nan Hua Primary School

Location Address: 30 Jalan Lempeng Singapore 128806

Key Responsibilities:

• Attend to walk-in and call-in inquiries, maintaining a professional demeanor.
• Maintain records of sick or injured students and provide necessary assistance.
• Handle incoming and outgoing mail efficiently.
• Manage the receipt and distribution of goods.
• Perform filing duties, record lost-and-found items, and manage other administrative tasks as needed.

Qualifications & Skills:

• Minimum ‘N’ / ‘O’ Level certification.
• Proficient in English and Mandarin with excellent communication skills.
• Pleasant personality and customer service skills for front-desk duties.
• Familiarity with Microsoft Office applications.
• Prior experience in a school environment is advantageous.