Total 13,889 Full-time tech support job vacancies in Singapore

Duration: 1 year contract

Location: Raffles Place

Responsibilities

• Manage pipelines via channels such as sourcing, screening and referrals for multiple, complex searches to find and engage key technical talents of all levels.
• Collaborate closely with the Recruiting team (Recruiters, Coordinators, other Sourcers) & hiring managers throughout the recruitment lifecycle to ensure business's needs and goals are fulfilled.
• Develop a holistic business understanding and manage stakeholder relationships including HR, hiring managers, and external partners.
• Own and drive innovative sourcing strategies, initiate new projects and/or optimise current processes to improve recruiting process and efficiency
• Conduct complex data analysis and share up-to-date, accurate, and value-adding market intelligence to business leaders to support business growth.
• Prequalify potential candidates to determine their qualifications
• Own interview scheduling process and communicate logistics to both candidates and hiring teams
• Manage candidate communication throughout the recruitment process and providing feedback.
• Ensuring a great candidate experience and advocate company as a great place to work for all candidates.

Requirements

• Proven experience with research/sourcing tools (ie. Boolean, LinkedIn and other alternative sourcing techniques) to identify & engage passive candidates within the internet industry talent space.
• Strong analytical and problem solving skills with capability to analyze high amounts of data to support business strategies and decisions.
• Excellent interpersonal skills with the ability to build rapport quickly with stakeholders and communicate effectively across all levels of the organization internally, as well as externally.
• Sourcing experience in a high-volume environment (via search firm or in-house recruiting environment)
• Experience partnering with recruiters, hiring teams and external partners across different offices.
• Ability to contribute in a fast-paced work environment and prioritize multiple functions and tasks.

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.

https://go.persolkelly.com/job/details/10306

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 No: R23117066 (CHEW KIA ZHENG)

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

Responsibilities

• Provide excellent customer service
• Provide IT technical onsite support for end user services problem which includes identification, diagnosis, rectification and escalation.
• Support on desktops, notebooks, printers, scanners hardware components.
• Installation, re-installation, troubleshooting and reconfiguration of Microsoft Windows and Microsoft applications that are found in the Desktop PCs and Notebook PCs. Examples of such software are Windows XP/7 OS or any bank standard desktop OS, MS Office, Internet Explorer, MS Outlook, MS Outlook Express, etc.
• Installation of bank access and in-house applications.
• Provide support for queries, escalation, problem determination, resolution and MAC – move, add and change.
• Printer Maintenance.
• Take on and resolve complex calls or tasks the other engineers could not resolve.
• Responsible for learning and working independently.
• Responsible for providing excellent support and timely service.
• Any other ad-hoc duties as assigned by supervisor

Requirements

• At least 3 years of experience in L1/2 EUC support works
• Experience supporting projects based in a banking / finanancial instition
• Experience in supporting MAC based hardware and technologies
• Experience leading a team is preferred

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Information:

1. Monday – Friday : 8.15am-5.30pm

Responsibilities:

• Prepare Proforma Invoice, Contract of Sales, Sales Orders, Quotation & other sales documents
• Follow-up on product label, ensure label design are approved by customer
• Consolidate and update of Sales Forecast & Sales Summary
• Assists the Business Support team in Procurement coordination
• Liaise with Suppliers on printing of product labels, leaflets & other packaging materials
• Liaise with Regional offices for Sales/Marketing related matters
• Liaise with various department to fulfil customers’ orders
• Coordinate on exhibition held at local/overseas
• Sourcing & coordinating on diaries, calendars, table planners & corporate gifts
• Attending to visitors and setting up of meetings
• Travel arrangement on Hotel & flight booking, Visa application and submission
• Double-Tax Deduction submission to IE Singapore
• Distribution of mails to Directors
• Provide Secretarial duties to Directors
• Handling telephone enquiries & email

Requirements:

• ITE / Diploma in Marketing/Business fields
• Proficient in Microsoft Excel, Microsoft Word and Microsoft Power Point
• At least 1-2years’ experience in sales administration and coordination will be added advantage
• Past working experience in a secretary role is an advantageous

Interested applicants, send in your updated resume by clicking “Apply Now”.

Lin Weikang
EA Personnel No: R21102570
EA License No: 23C1894

Job Opportunity: Join a Team Driving Digital Excellence

Be part of a dynamic team committed to achieving Digital Excellence. Work alongside like-minded individuals to provide Production Support across various Digital Platforms. These platforms include Digital Channels (e.g., consumer-facing websites, mobile apps) and Digital Enablers (e.g., Payments, Notifications, Identity & Access Management).

Job Description:

• Configure products and services for digital offerings.
• Set up promotions for available products and services.
• Manage website content as a webmaster using Adobe Experience Manager (AEM).
• Configure and maintain content, products, and services on digital platforms.
• Support weekly operational tasks to enable business functions.
• Collaborate with internal stakeholders (designers, user experience specialists, marketing, etc.) to meet business requirements.
• Create and manage microsites for campaigns.
• Document key processes and provide training to stakeholders.

Job Requirements:

• Minimum Diploma qualification.
• Entry-level graduates in Digital Media, Multimedia, or IT are welcome to apply.
• Strong communication skills and attention to detail.
• Understanding of effective experience design principles.
• Knowledge of SEO, HTML/CSS, and JavaScript is an advantage.
• Strong communication and project management skills.
• Experience with tools such as Adobe Experience Manager or UI Path is a plus.

Next Step:

Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package. Simply click on 'Apply here' to drop your resume or email at [email protected].

Susmita Sahu

EA License No: 91C2918

Personnel Registration Number: R23114076

Requirements

Experience:

Experience in end-user computing, including significant experience in designing and implementing EUC solutions across a diverse range of devices and leading migration projects.

Operating systems:

Extensive experience with Windows 10/11, iOS

VDI Solutions:

Advanced knowledge of VMware Horizon, Microsoft Azure Virtual Desktop, Thin clients

Device Management:

Proficiency in managing desktops, laptops, thin clients using Microsoft End Point Manager (Intune), MECM, Altiris and Mobile Device Management Solutions.

Security:

Experience with endpoint security solutions, encryption technologies and security best practices

Problem-Solving:

Excellent problem-solving skills with a focus on troubleshooting complex technical issues across multiple devices.

Leadership:

Demonstrated leadership abilities, including experience leading cross-functional teams and mentoring junior staff.

Responsibilities

• Provide excellent customer service
• Provide IT technical onsite support for end user services problem which includes identification, diagnosis, rectification and escalation.
• Support on desktops, notebooks, printers, scanners hardware components.
• Installation, re-installation, troubleshooting and reconfiguration of Microsoft Windows and Microsoft applications that are found in the Desktop PCs and Notebook PCs. Examples of such software are Windows XP/7 OS or any bank standard desktop OS, MS Office, Internet Explorer, MS Outlook, MS Outlook Express, etc.
• Installation of bank access and in-house applications.
• Provide support for queries, escalation, problem determination, resolution and MAC – move, add and change.
• Printer Maintenance.
• Take on and resolve complex calls or tasks the other engineers could not resolve.
• Responsible for learning and working independently.
• Responsible for providing excellent support and timely service.
• Any other ad-hoc duties as assigned by supervisor

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

The Senior GCC Analyst provides front-line support to customers of CME Group for traded cash FX markets and provides relevant investigation and analysis for any major outages to management and other business stakeholders. In this role, the Senior GCC Analyst works regularly in a customer facing capacity to deliver informational assistance via telephone and electronic means. The analyst will need to be able understand the FX cash aspect of support and business to facilitate troubleshooting for any critical trading and connectivity issue on our platform.

For this role the analyst will have a passion for solving problems and delivering excellent customer service. The candidate will deliver advanced market and technical assistance for front-end trading platforms, market data and match engine functionality.

Successful candidates will possess a majority of the below qualification, experiences and be comfortable with the responsibilities.

Responsibilities will include and not be limited to the following:

• Develop ad-hoc queries and perform complex data analysis to create data driven solutions to support or change policy, process procedures and technologies
• Field customer enquiries related to market events, connectivity, business technologies and products
• Decides appropriate course of action when speaking with a customer, such as which actions would accurately solve their technical problem. Decides when problems need to be escalated to a higher-level resource.
• Evaluate and monitor market activity and order flow for efficiency and anomalous behavior
• Perform investigations for both internal and external clients - be able to articulate challenging and complex problems and solutions to a broad range of audiences

Qualifications:

• Bachelor's or Master's in information systems, computer science a related field from a recognized university
• Minimum 3 to 5 years’ experience in single bank or multi-banks eTrading platforms. Previous experience with vendors is welcome
• Experience with leading industry charting/news platforms and front ends, such as Bloomberg, Trading Technologies and Eikon Refinitiv
• Good understanding in foreign exchange modules with emphasis on Spot FX and NDFs (Outright and Swaps is a bonus)
• Good grasp of full trade life cycle from execution to front and back office (STP/Murex/MT300) processing
• Exposure to Kibana/Monitoring dashboards
• Analyst will support Japanese customers. High proficiency in the Japanese language is preferred.

Experience:

• Previous experience within trading, technical support, and market analysis
• FIX protocol/API connectivity expertise and basic Linux commands knowledge alongside experience with trading GUI features to help with troubleshooting
• Ability to read and understand user logs
• Experience with Linux/Unix commands.
• Ability to perform order analysis to identify latency/rejections/slippage/mismatch
• The candidate must be able to demonstrate strong written and verbal communication and problem-solving skills
• Prior customer support experience via telephone and electronic means
• Advanced understanding of electronic trading

Job Responsibilities:

• Plan and assign equipment operators for aircraft pushback/towing, water/toilet servicing and supply of GSE equipment.
• Liaise with IGO/Maintrol/CEG for aircraft towing and other utilities servicing activities.
• Liaise with Equipment Maintenance team on equipment requirements/shortages.
• Maintain regular walkie-talkie communication with the equipment operators to ensure punctual departure of flights and any other changes in assignment for any services.
• Attend to customers’ requests/complaints (where necessary).
• Update the duty supervisor on any delay.
• Carry out any other duties as assigned.

Job Requirements:

• Higher Nitec / Diploma in Aviation or Aircraft Mgt
• Candidates who are proficient in SAP and Microsoft Applications will have an advantage
• Must be able to perform 12 hour rotating shift works
• Work Location: Changi Airport

Job Description:

• Perform functional and aesthetic inspection of aircraft cabin interiors.

• Document any defects, perform troubleshooting and carry out rectification.

• Support cabin modification, retrofitting and component repair tasks.

• Any other duties as assigned by the supervisor

Requirements:

• NITEC / Higher NITEC, preferably in an Engineering discipline

• At least minimum 2 years of relevant aircraft cabin maintenance experience

• Able to work flexible hours, including weekends and public holidays (rotating shift hours)

Today, Lonza is one of the world’s largest healthcare manufacturing organizations operating across five continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of.

Did you know that we are the 1st biologics contract manufacturer in Singapore? We offer you exposure to upcoming biotech and established pharmaceutical companies and to the manufacturing technology needed to produce mammalian treatments and cell therapies of tomorrow. Our global manufacturing network is recognized for its reliable, high-quality services, regulatory track record, global footprint, innovative technology platforms and extensive experience – we, in Singapore are proud to be part of this global network.

This role is responsible to perform the role of a Project Manager for all site Tech Transfer (TT) projects, with the focus on all Engineering activities associated with site readiness and collaborate in a cross-functional environment to drive the TT to completion.

Key responsibilities:

• Provide oversight of all site wide readiness activities for TT, including capital equipment introduction, modification of existing facility or equipment, development of process and cleaning circuits, till handover for routine manufacturing (beyond PPQ campaign if required).
• Work with key collaborators to define packages and activities required at commencement of the TT project, including areas like Manufacturing, Engineering and Supply Chain Warehouse.
• Develop overall site TT project plan and high level schedule to incorporate activities associated with business readiness to meet site’s MPS target dates.
• Ensure adherence to overall TT schedule.
• Ensure that the different collaborators are aligned with the overall project plan and facilitate handshakes between MSAT, Manufacturing, Engineering, Quality and Warehouse teams for site readiness activities.
• Ensure that each package or major activity has clear ownership. Ensure each owner sets up their own project plan, task accountability, monitoring and critical issue workflows. Work with each owner to identify task dependency and deconflict activities.
• Recognize potential gaps in equipment design and collaborate with collaborators, customers, partners, and team members to achieve resolutions.
• Identify resource gaps and acquire appropriate resource from resource managers.
• Identify TT workflow improvements via AAR and secure the support to implement these improvements.
• Evaluate project changes requirements and their associated impact, offer support to collaborators and sponsors for changes that may influence TT delivery.
• For project change requirements extending beyond Engineering campaign, ensure that these are collected under a Hypercare plan with committed budget, resources and timeline. Oversight these changes and activities under Hypercare until completion.
• Provide updates in site weekly TT meetings and TT IPTs.
• Ensure that end user review new equipment/facility usage for long term operational sustainability, e.g. review equipment occupancy at the desired cycle time. Evaluate options if further equipment/facility changes are needed and transfer accountability of these changes to responsible owner.
• Any other duties as assigned by Supervisor/Manager.

Key requirements:

• Bachelor Degree / Diploma with exposure in the Biopharmaceutical industry.
• Experience in Biopharma industry, GMP environment, FDA/EMEA exposure.
• Experience working in matrix environment, establishing relationship with both internal and external customers.
• Strong verbal and written communication skills to collaborate with cross functional collaborators
• Critical thinking and analytical skills to be able to identify weaknesses and strengths of alternative solutions or approaches to problem-solving.
• Good technical knowledge of engineering, manufacturing and project management skills.
• Ability to thrive under pressure and can take care of multiple requirements whilst still meeting all critical deadlines.
• Demonstrate a passion to learn, learn from mistakes and can share ideas throughout the organization.
• Ability to operate independently with minimum supervision.

Every day, Lonza’s products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.

People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

Position Overview
We are seeking an experienced Talent Acquisition Team Lead to manage high-volume tech hiring while overseeing recruitment operations, reporting, and team leadership. The ideal candidate will excel in process optimization, data-driven decision-making, and building strong relationships with stakeholders, all while mentoring and leading a high-performing recruitment team.

Key Responsibilities

1. Talent Acquisition LeadershipLead and execute end-to-end recruitment for large-scale tech hiring, ensuring delivery of top talent within defined timelines.
   Partner with hiring managers to develop workforce plans and align recruitment strategies with business goals.
   
2. Team LeadershipManage, mentor, and develop a team of recruiters, ensuring high performance and professional growth.
   Set team goals, monitor performance metrics, and provide regular feedback to foster a collaborative and high-performing culture.
   Act as the point of escalation and guidance for complex recruitment challenges.
   
3. TA Operations & Process OptimizationOversee recruitment workflows to ensure seamless, compliant, and efficient operations.
   Identify and implement improvements in recruitment processes, leveraging tools and technology to enhance efficiency.
   
4. Management ReportingCreate and deliver data-driven recruitment reports, dashboards, and insights to senior stakeholders.
   Analyze recruitment metrics (e.g., time-to-fill, pipeline health, diversity data) and recommend strategies for improvement.
   
5. Stakeholder EngagementBuild strong partnerships with HR, hiring managers, and leadership teams to align hiring priorities and ensure stakeholder satisfaction.
   Act as a trusted advisor on talent market trends, candidate sourcing strategies, and recruitment best practices.
   
6. Employer Branding & Talent PipelineCollaborate with the HR and marketing teams to enhance the employer brand, particularly in the technology sector.
   Develop proactive sourcing strategies to attract passive candidates and build robust talent pipelines for critical roles.
   

Requirements

• Experience:Minimum 8 years in talent acquisition, with at least 3 years of experience managing high-volume tech hiring.
  Proven track record of leading and developing recruitment teams.
  
• Skills:Strong expertise in TA operations, process optimization, and management reporting.
  Proficiency with ATS platforms and recruitment reporting tools; HRIS experience is a plus.
  
• Leadership:Demonstrated ability to inspire and lead teams in fast-paced environments.
  Strong interpersonal and stakeholder management skills.
  
• Analytical Mindset:Experience analyzing and presenting recruitment metrics to drive strategic decisions.
  
• Tech Industry Knowledge:Familiarity with tech hiring trends, skills, and talent market dynamics.
  

EA License No.: 23S2046

KAH License No.: R1652932

☑ Basic Salary : $2800 - $3200

☑ Transport Allowances : $350 - $1050 (Own Transport, ERP & Parking Reimburse)

☑ Additional Pay : OT Pay, Standby Allowance + ERP & Parking Reimburse+ AWS + High Variable Bonus

☑ Flexible Work Schedule : 5 Days, Flexi Hours - Required to standby once a month, Stanby Required.

☑ Location : Island-wide (Parking & ERP Fully Claimable)

☑ Employer : MNC - Medical Device & Equipment Manufacturer

☑ Perks :Good Benefits & Career Prospects

Job Responsibilities:

• Install, maintain, and troubleshoot medical angiography systems at customer sites.
• Perform routine inspections and CM/PM maintenance to ensure equipment reliability.
• Collaborate with engineering teams to relay customer feedback to contribute improvement.
• Deliver technical training to clients and internal staff.
• Maintain accurate documentation for FSN/FMI/FSCA reporting on assigned products.

Job Requirement:

• Higher NITEC, Diploma / Degree in Biomedical, EEE or Mechatronic Engineering.
• Or min 1year of strong hands-on field servicing skills in medical device are highly advantageous

Interested applicants are welcome to apply or send updated CV to [email protected]

Only shortlisted candidate will be notified

Kam Soo Leng, Yvette

Registration: R22107492

Our company is an innovative, global healthcare leader that is committed to improving health and well-being around the world with a diversified portfolio of prescription medicines, vaccines and animal health products. We continue to focus our research on conditions that affect millions of people around the world - diseases like Alzheimer's, diabetes and cancer - while expanding our strengths in areas like vaccines and biologics.

Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity and teamwork of an individual like you. To this end, we strive to create an environment of mutual respect, encouragement and teamwork. As part of our global team, you’ll have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.

We are seeking an energetic, collaborative and self-driven professional to join the Digital Supply Chain value team to play an active role in transformation journey to become the leading digital supply chain organization that leverages data, technology and processes to deliver end to end solutions enabling enterprise-wide collaboration, customer satisfaction, and seamless orchestration.

WHAT YOU WILL DO

The Value Team Architect works closely with Product Line Leads, Product Managers and all squad members to create a modular, scalable solution that addresses/incorporates future architectural changes and designs.

Responsibilities

In collaboration with the Value Team Lead, Product Line Leads, Product Managers and Lead Engineers you will work on the following:

• Understand
  supply chain domain business use cases, opportunities and challenges
  current industry technology trends and introduce best practices to Value Team
• Create
  architecture deliverables and artifacts relevant for accountable architecture domain(s)
• Drive
  the technology strategy for the Value Team that aligns with the business needs and enterprise architecture strategy
  the notion of reusable architecture assets & standards such as current-state business/technology capability maps as well as future state planning roadmaps for the Value Team.
  Tech Center strategy for Digital Supply Chain organization by boosting collaboration within Singapore and across all locations in Technology Center network
  Our workforce pipeline in Value Team by leveraging company programs to onboard, mentor and upskill the leaders of the future in Technology Centers
• Partner with
  product teams to use agile, value-centric, business outcomes-oriented, and total cost of ownership-based principles to guide decision making
  product line solution architects to develop a documented business, solution, information, and data architecture for supply chain
  architecture community and leaders across the Value and Enabling Teams in the division focusing on data and analytics, manufacturing and quality systems
  Enterprise Architecture team to drive the adoption of company architecture standards and blueprints
• Manage
  Architecture Governance within the Value Team
• Train and mentor
  technical delivery teams to understand, embrace, and successfully implement solutions following the architecture strategy

WHAT YOU MUST HAVE

Education

• B.A./B.S. or M.A./M.S. in a scientific or technical discipline (such as computer science, engineering, biology, chemistry, etc.)

Required Experience and Skills

• 10+ years of relevant work experience in the pharmaceutical/life sciences or similar industry, with demonstrated hands-on experience in solution architecture and information system designs
• 10+ years of experience in leading development squads/ teams in global environment
• Strong understanding of enterprise, solution and information architecture principles
• Domain knowledge of technology for supply chain management including data and analytics platforms, ERP solutions, supply chain planning, warehousing, distribution and logistics
• Experience in working closely with a range of business lines to identify business needs and opportunities
• Experience with Agile ways of working, leading or working as part of scrum teams
• Experience as a change agent of transformation to product model organization/ operating model
• Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders
• Ability to perform under broad direction taking initiative and full responsibility for meeting allocated technical and/or project/supervisory objectives

Preferred Experience and Skills

• Demonstrated ability to solve problems with a sense of ownership, enthusiasm and innovation
• Knowledge of current cloud trends and offerings, and extensive hands-on experience and strong expertise in cloud engineering
• Certifications in AWS and/or modern data technologies

Who we are

We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.

What we look for

Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today.

- 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.

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]

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?

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.

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.

We are currently conducting a search for one of our key clients, a leading service and spare parts provider of marine pumps. The position is for a Sales Support in Singapore (office is located in Benoi) to handle incoming inquiries, orders and translating them into purchase requests and orders. You will be dealing with ship owners, managers, chandlers and ship supply companies.

As they sell technical items, this will require you to investigate which parts the client needs and, from there, set a competitive offer. The job is a great combination between technical and sales. You will be in close contact with the customers by following up on quotes and orders and you will be challenged technically in finding the right solution for them. Key challenge is to locate the right suppliers and finding the best solution for the customer in order for them to receive their parts in time.

Requirements:

• To be able to learn about product technicalities to provide the right solution to clients
• To be commercially oriented, people's person and desire to deal with clients
• Previous experience in maritime or O&G is a must
• Previous experience dealing with mechanical equipment, services or spare parts