Job Description & Requirements

· Ensure that phone call enquiries are promptly answered.

· Answering phone calls in a professional manner and routing the calls, as necessary.

· Taking down phone numbers of the enquiries and allocating them to the sales consultants to follow up.

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc. Prof. Li Cheng on scalable Bayesian Gaussian process modeling for spatiotemporal data under a project on “Enhancing Scalability of Bayesian Gaussian Process Models”.

The main responsibilities of the position include:
- literature review on the statistical methodology of modeling non-Gaussian data;
- developing new Bayesian Gaussian process based models and scalable computational algorithms for non-Gaussian spatial and spatiotemporal data;
- coding and conducting numerical experiments related to the main topic.

Qualifications

• Qualifications / Discipline:
Recognised Bachelor / Master degree in Mathematics, Statistics, Data Science and related fields.

• Skills:
- Familiar with the methodology and computation of Gaussian processes;
- Strong programming skills in R, Rcpp, or Julia.

• Experience:
Nil

Being the bearer of engineering best practices

Do you relish the idea of managing critical mission facilities/building? This role requires someone who can efficiently and effectively oversee our delivery of operational and engineering services for the data centres and key building services in our prime commercial asset.

With such a lot at stake, you must have the ability to carry out and follow through on procedures that are vital in critical environments and general building services engineering (e.g., critical equipment maintenance and upkeep). When you do site reviews, you’ll keep a lookout for opportunities to develop, innovate, and share within the engineering teams programmes that not only reduce costs, but also increase productivity. Spotting developments in international best practices and figuring out how to apply them locally is a constant, yet rewarding, challenge. This role also puts you in a unique position to promote our sustainability service strategies for achieving measurable improvements in energy use.

Bridging gaps in processes and controls

As a Subject Matter Expert, you’ll contribute to the optimisation of processes, tools and documentation. At the front of your mind at all times is completion and compliance of the critical environment management (CEM) audit process. Keeping planned preventive maintenance programmes and service contracts in place and the work practices of contractors in check are also your mandate.

‘Safety first’ is your strapline and you’ll do this by maintaining safety procedures, including crisis management or business continuity and emergency procedures at all times. Getting our site teams and vendors on board our risk management and mitigation initiatives will also fall on your shoulders.

All eyes on the plan

You’ll ensure that all risk mitigation plans are in place. Do such plans comply with our clients’ designated procedures and policies? Are all engineering reports in order? You constantly need to monitor and evaluate all critical environment equipment across the building to make sure everything is running smoothly as possible. Tracking review reports and involving in asset lifecycle planning should also keep you busy, as doing so is instrumental in implementing improvement plans and projects across the building.

Sound like you? To apply you need to be:

Subject Matter Expert

You should have over 5 years of experience working in mission-critical facilities and data centre environment managing the maintenance. Having a Data Centre Foundation Certificate (DCFC) or equivalent to oversee the Data Centre facility maintenance. You will be the Point of Contact (POC) for all servicing, incident and follow-up, and to assist with all client requests pertaining to the Data Centre. Quarterly meetings (or such frequency as determined by the client) with client data centre management shall also be arranged to report and review the quality of the Data Centre and building facility management works.

Roll-up-your sleeves attitude

Do you have the skills, passion and aptitude to take on this role? Are you ready and excited to champion business goals and continuous improvement initiatives that empower both our clients and our people? Do you know how to work in a diverse team and inclusive culture that brings out the best in everyone? If yes, then this job is for you.

What we can do for you:

At JLL, we make sure that you become the best version of yourself by helping you realise your full potential in an entrepreneurial and inclusive work environment. We will empower your ambitions through our dedicated Total Rewards Program, competitive pay and benefits package.

Apply today!

Job Description:

• Develop and implement data standards and guidelines to ensure consistency and integrity across all HR data
• Together with the project team, analyze and optimize HR data to improve data quality and ensure accuracy across various modules in the HR system.
• Work closely with HR functional stakeholders to understand data needs and requirements, address data related challenges and support HR processes
• Work with IT team to troubleshoot and resolve data issues, ensuring seamless integration and operation of HR platforms.

Job Requirements:

• 2-5 years experience in HR Operations, HRIS, HR Analytics or HR data governance and documentation management
• Strong understanding in HR data structures, processes and compliance requirements

Interested candidates do attach your resume to [email protected]

Attn: Angela Celeste Poh Li Ying (R2095367)

Recruit Express Pte Ltd (99C4599)

What do you get to learn

Paired 1 to 1 mentorship according to working style

Client visit with mentor to gain broader experience and to experience client’s workplace

Mapped Progression with the Company

Enjoy:

Quarterly events and bonding workshops

Great Team Spirit

Big and cohesive division

Comprehensive Training

Dynamic Working environment

Central Location (at Orchard)

Exciting Opportunities to develop a rewarding career

Job Description

• Responsible to source, evaluate and experiment various recruitment methods to attract, engage and hire potential candidates via various social media platforms, networking events, offline recruitment, infrastructure advertisements, collaterals etc.
• Liaise with multinational corporate clients to provide the best staffing solution in the healthcare industry.
• Evaluating business processes, anticipating requirements, uncovering areas for improvement, and developing and implementing solutions
• Ensuring solutions meet business needs and requirements
• Proactively establish a set of long-term relationship with clients in the healthcare industry
• Engage in full cycle recruitment process from sourcing, matching, and onboarding of candidates to the best suited job.
• Manage candidates on career progression and employment matters.
• Grow and maintain your own client portfolio.
• Work collaborative in a team to achieve targets

Requirements:

• Minimum Diploma / Degree in ANY discipline
• Possess good communication skills
• Passion in interacting with people from diverse background
• No prior experience required, training will be provided
• Able to start work immediately or on short notice will be advantageous

Interested candidates please send in your resume to:

[email protected]

Subject: HR Recruitment Executive

Kate Leau Wei Xuan (R1552331) #HWX
Recruit Express Pte Ltd
EA Licence No: 99C4599
Company Reg. No. 199601303W

Our client is a Automotive Manufacturing MNC. Due to their current expansion plan, they are looking for a Luxury Sales Advisor (Front Line) to join their team, in hopes of developing the current high performing team. They are located in the Central.

Job Responsibilities

• Identify customer needs by understanding their background, reason for visiting, and purchasing timeline, building a comprehensive customer profile.
• Provide personalized information to educate and inspire guests, offering a customized experience based on their interests.
• Demonstrate expert knowledge of all products and services for owners/customers.
• Support sales efforts by capturing customer contact details and scheduling test drives for individual who interest/potential to buy.
• Consistently update the CRM system to ensure accurate and up-to-date sales and delivery information for management.
• Facilitate vehicle preparation and delivery appointments, offering customized orientations based on the customer’s individual preferences and comfort levels.
• Any other duties as assigned.

Requirements

• Min 2 years’ relevant working experience
• Good Customer Service
• Good Communication Skills

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Description:

• Handling enquiries from interested study participants
• Assist to prepare prior to, during and post-study participant visits
• Data entry/management
• Coordinate/schedule participant visits

Requirements:

• Min. A lvls/Diploma in any science courses
• Must be able to commit min. 3 months or longer
• No experience needed, training provided

A level - $1800

Diploma in science - $2100

Office hours, 5.5days

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

What do you get to learn

Paired 1 to 1 mentorship according to working style

Client visit with mentor to gain broader experience and to experience client’s workplace

Mapped Progression with the Company

Enjoy:

Quarterly events and bonding workshops

Great Team Spirit

Big and cohesive division

Comprehensive Training

Dynamic Working environment

Central Location (at Orchard)

Exciting Opportunities to develop a rewarding career

Job Description

• Responsible to source, evaluate and experiment various recruitment methods to attract, engage and hire potential candidates via various social media platforms, networking events, offline recruitment, infrastructure advertisements, collaterals etc.
• Liaise with multinational corporate clients to provide the best staffing solution in the healthcare industry.
• Evaluating business processes, anticipating requirements, uncovering areas for improvement, and developing and implementing solutions
• Ensuring solutions meet business needs and requirements
• Proactively establish a set of long-term relationship with clients in the healthcare industry
• Engage in full cycle recruitment process from sourcing, matching, and onboarding of candidates to the best suited job.
• Manage candidates on career progression and employment matters.
• Grow and maintain your own client portfolio.
• Work collaborative in a team to achieve targets

Requirements:

• Minimum Diploma / Degree in ANY discipline
• Possess good communication skills
• Passion in interacting with people from diverse background
• No prior experience required, training will be provided
• Able to start work immediately or on short notice will be advantageous

Interested candidates please send your updated resume in MS Word Format to:

[email protected]

Subject: HR Recruitment Executive

or call 6736 3280 and ask for Kate

EA Personnel: Kate Leau Wei Xuan (R1552331)

Company Registration No.: 99C4599

Where you fit in

Shell’s global Trading and Supply business is one of the largest energy trading operations in the world with key hubs in Singapore, Dubai, Houston, London, and Rotterdam, trading in crude oil, natural gas, LNG, electrical power etc. Our business in Asia has set huge growth targets for the coming years with major focus on green and sustainable energy.

To accelerate our ambitious delivery goals and energy transition targets in Asia, our gas and power trading division in the region is looking for highly skilled and motivated Data Scientist with expertise in Generative AI and Machine Learning to join our dynamic team.

What’s the role?

We are looking for people with the ability to translate business problems into AI solutions. This requires that you have next to your knowledge of machine learning and/or statistics as well as a good grasp of software development. Next to the data science capabilities and experiences you should be able to clearly and effectively present findings to our colleagues in other areas of expertise and business stakeholders.

The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning, GenAI) and has applied those skills in solving real world problems across different businesses / functions.

Your accountabilities will also include:

• Developing AI solutions to business challenges with business analysis
• Write clean and maintainable production-level code, knowledge on: Python, Databricks, GIT, SQL, Azure ML
• Enhance machine learning models on ad-hoc basis.
• Work closely with the users or Product Owner day-to-day to understand GenAI/ML/data requirements and propose effective solutions
• Work in a highly-collaborative, Agile and cross-functional environment including taking on data engineering responsibilities based on team needs
• Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience

What we need from you

To be successful in this role, we need someone who is an analytical problem solver, is excited about analytical models and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders.

Furthermore, we hope to see the following:

• 1-2 years of track record in developing and deploying machine learning algorithms with proven business impact
• Experience with Generative AI and Large Language Models
• Expertise in languages and similar software such as Python, SQL, Azure ML and Databricks
• Story telling of Machine Learning models to business users
• Agile Delivery techniques (e.g. SCRUM), user stories, tools such as Azure DevOps
• Can explain software engineering best practice e.g. CI/CD, 12-factor, git branching strategies, test automation
• Experience in time series analysis / predictive modelling with low granularity time series data, preferably in a commodity or financial trading domain is an advantage

If you don’t see yourself reflected in the job requirements on the posting above, we still encourage you to reach out and apply. Shell is committed to creating a more diverse, equitable and inclusive workplace and we encourage individuals of all backgrounds to send in your applications.

Company Description

Shell is an international energy company that uses advanced technologies and takes an innovative approach to help build a sustainable energy future. Here in Singapore, Shell has a long history and is one of the country’s largest foreign investors. It has businesses spanning trading and marketing of liquefied natural gas; refining, trading, marketing and shipping of oil products, lubricants and chemicals; low carbon solutions; and operating a network of service stations through retailers, as well as electric vehicles charging.

An innovative place to work

There’s never been a more exciting time to work at Shell.

Join us and you’ll be adding your talent and imagination to a business with the ambition to shape the future – whether by investing in oil, gas, and renewable energy to meet demand, exploring new ways to store energy, or developing technology that helps the world to use energy more efficiently, everyone at Shell does their part.

An inclusive place to work

To power progress, we need to attract and develop the brightest minds and make sure every voice is heard. Here are just some of the ways we are nurturing an inclusive environment – one where you can express your ideas, extend your skills, and reach your potential.

• We’re creating a space where people with disabilities can excel through transparent recruitment process, workplace adjustments and ongoing support in their roles. Feel free to let us know about your circumstances when you apply, and we’ll take it from there.
• We’re closing the gender gap – whether that’s through action on equal pay or by enabling more women to reach senior roles in engineering and technology.
• We’re striving to be a pioneer of an inclusive and diverse workplace, promoting equality for employees regardless of sexual orientation or gender identity.
• We consider ourselves a flexible employer and want to support you finding the right balance. We encourage you to discuss this with us in your application.

A rewarding place to work

Combine our creative, collaborative environment and global operations with an impressive range of benefits and joining Shell becomes an inspired career choice.

We’re huge advocates for career development. We’ll encourage you to try new roles and experience new settings. By pushing people to reach their potential, we frequently help them find skills they never knew they had, or make career moves they never thought possible.

Job Description:

The role is for the position of VP – Network Data Architecture ASO TIS Job function in Singapore. The successful candidate will be part of a growing dynamic regional team that oversees IT design and development of Network Solutions In the region.

We are seeking a talented Network Architect to join our team. The Network Architect will be responsible for designing, implementing, and maintaining the network infrastructure to ensure the confidentiality, integrity, and availability of our organization's data and systems.

Roles & Responsibilities:

• Network Design and Architecture: Lead the design, planning, and implementation of scalable, high-performance data network architectures, including LAN, WAN, SD-WAN, and cloud-based network solutions.
• Data Flow Management: Ensure efficient, secure, and optimized data flows across the organization's network infrastructure, including data canters, branch offices, and cloud services.
• Technology Strategy and Roadmap: Collaborate with IT leadership to develop network strategies and roadmaps, ensuring alignment with business goals and future technology trends.
• Capacity Planning: Perform ongoing network performance monitoring and capacity planning to handle current and future data demands.
• Security Compliance: Collaborate with peer teams to ensure networks are designed and implemented with security best practices, regulatory compliance (e.g., GDPR, HIPAA), and threat mitigation in mind.
• Vendor Management: Manage vendor relationships and evaluate third-party network technologies, products, and services to support business requirements.
• Documentation and Standards: Develop and maintain documentation for network architecture, including diagrams, configuration guides, and operational procedures.
• Cross-Department Collaboration: Partner with application, cloud, and infrastructure teams to optimize overall system performance and deliver integrated solutions.
• Troubleshooting: Act as the top-level support for diagnosing, troubleshooting, and resolving complex network issues, ensuring business continuity.

Technical Capabilities

Arch, Design and Implement Network Solutions:

• Design and implement Network solutions to protect the organization's network from unauthorized access and attacks.
• Review current designs and re-design to improve quality of services and to ensure modernized, fit for purpose Network infra for employees.

Develop and Maintain Network Security Policies, Standards, and Procedures:

• Develop network data security policies that outline the organization's security objectives and requirements.
• Establish security standards and procedures for configuring and managing network security devices.

Contribute into Risk Assessments for Data / Connectivity Audits:

• Participate in regular risk assessments on core infra to identify potential security vulnerabilities and threats.
• Contribute to security audits to assess the effectiveness of existing controls and identify areas for improvement.
• Recommend security enhancements based on the findings of risk assessments and audits.

Collaborate with IT Teams:

• Work closely with IT teams to integrate requirements into network infrastructure and applications.
• Provide guidance on implementing best practices and standards.
• Collaborate with application developers and system administrators to ensure that business requirements are met.

Enhance Network Traffic Monitoring and Innovate Automations:

• Enhance network traffic monitoring to effectively detect issues
• Take appropriate actions to mitigate the impact of incidents and prevent future occurrences.
• Look for predictive analysis/solutions to improve user experience, quality and capabilities of networks.

Provide Technical Guidance and Support:

• Provide technical guidance and support to team on network best practices.
• Assist in troubleshooting network Problems and coming up with solutions to address them.
• In-depth insight and oversight onNetworking Protocols: Expertise in IP networking protocols (e.g., BGP, OSPF, MPLS, VLANs, IPsec, TCP/IP, QoS) and related technologies.
  Cloud Networking: Hands-on experience with cloud networking in platforms such as AWS, Azure, and Google Cloud, including hybrid cloud designs and integrations.
  Network Automation: Knowledge of network automation tools (e.g., Ansible, Python scripting, Terraform) to automate configuration, deployment, and management processes.
  Virtualization: Experience with network virtualization technologies such as SDN (Software-Defined Networking) and NFV (Network Function Virtualization).
  Security Technologies: Proficient in network security technologies like firewalls, VPNs, IDS/IPS, DDoS protection, and identity access management (IAM).
  Network Monitoring: Familiarity with network monitoring tools (e.g., SolarWinds, Netscout, Wireshark ) for performance and anomaly detection.
  Data Center Architecture: In-depth understanding of data center networking (e.g., spine-leaf, fabric architectures) and cloud connectivity
  

Job Requirements:

• Min 15 years of experience in networking, with at least 7+ years in an architectural or senior engineering role.
• Experience in leading the design, planning, and implementation of scalable, high-performance data network architectures, including LAN, WAN, SD-WAN, and cloud-based network solutions.
• Cisco Certified Internetwork Expert (CCIE), AWS Certified Advanced Networking, or other equivalent certifications.
• Strong understanding of enterprise-level network architectures, data center environments, and cloud integration.
• Demonstrated ability to lead cross-functional teams and communicate complex technical concepts to both technical and non-technical stakeholders.
• Proven track record of innovative problem-solving and ability to troubleshoot complex network systems.
• Experience in managing network infrastructure projects from initiation to completion, including budgeting, planning, and execution.
• Bachelor’s Degree: Degree in Computer Science, Information Technology, Network Engineering, or a related field is required.
• Master’s Degree (Preferred): An advanced degree in a relevant field is a plus, particularly in network architecture, cybersecurity, or cloud technologies.

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

Job ID: 10067214

Scope:

• Handles the enrichment works to the data warehouse.
• Participate inprojects involving data to ensure integration and linkage to existing systems
• Work hand in hand with IT/Business units on related projects to gather system requirements and involve in system testing for implementation
• Gather and document business/ regulatory information needs and prepare Business Requirement Specification Documents to consolidate the required data from various sources
• Investigate and rectify data collected to facilitate quality data for downstream analysis and applications
• Ad hoc duties as assigned

Requirements:

• Minimum Degree in Maths/Statistics/Engineering/Economics
• Team player

If you meet the requirements of this role, please email a detailed resume in Word document to Chloe Tan Hui Lin. Email: [email protected]

Chloe Tan Hui Lin
CEI Registration No.: R1765524
Recruit Express Pte Ltd
EA99C4599

*All information will be treated with strictest confidence. We regret that only short-listed applicants will be notified.

About the team:

The mission of Shopee Marketplace Intelligence and Data Department is to establish advanced large-scale data and intelligent products to promote the development of Shopee's e-commerce business. Our department is responsible for Shopee e-commerce data warehouse construction, merchant and operation data product development, user full-path traffic data analysis, and applying advanced algorithms to improve product management efficiency, including listing upload system, listing management and control, product information standardization, and optimization. Building Standard Product Units and similar item ability for product comparison and enabling price comparison accordingly. Support involving new sellers, product selection, and product recommendation. Display optimized product reviews or high-quality reviews, and provide a review summary function for customers. To support the service ability above, all related researchers are welcomed, such as Natural Language Processing, Knowledge Graph, Computer Vision, Machine Translation, Speech Recognition, Identity Verification, etc.

The Listing Intelligence Team is dedicated to applying cutting-edge AI algorithms to understand large-scale product data and overcome multi-language challenges. Through massive product category prediction, large-scale product attribute mining, Standard Product Unit building, similar item matching, price comparison, and adversarial detection of prohibited products. The aim is to optimize merchants' and operators' working efficiency while improving consumers’ shopping experience.

Job Responsibilities:

• For e-commerce businesses and products, apply natural language processing-related algorithms in multi-language situations, such as but not limited to: generative models, multi-modal models, information extraction, text classification, etc.
• Through the natural language processing algorithm model, it supports product release, product optimization and management, standard product unit (SPU) library construction, identical product recognition, price comparison, and other business applications, thereby improving product conversion efficiency and platform operation efficiency.
• Explore cutting-edge technologies related to natural language processing algorithms and introduce them into existing systems to improve technical indicators.
• Lead the design of solutions and manage projects collaboratively with a team.

Job Requirements:

• Bachelor's degree or above in computer science, artificial intelligence, or related disciplines.
• More than 3 years of experience in NLP or knowledge graph-related projects.
• Excellent programming skills.

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

Our Team:

Our Fixed Income Corporate Actions Data team looks after the lifecycle of corporate securities focusing on transaction level data and their impact on reference data and bond calculations. Corporate Actions can have significant implications for bondholders and often impact across the wider market, making timely and accurate interpretation and capture of corporate actions data key to meet client needs. With the increased adoption of new technologies and industry standards, there is a growing need for automation and standardization of corporate actions, uncovering an opportunity for technical innovation for our team.

What’s the role?

We are looking for a highly motivated individual with a passion for finance, data, and technology to enhance value from our data products. As a Senior Data Analyst on the Fixed Corporate Actions Data team, you will play a key role in expanding Bloomberg's corporate actions databases to further deliver an industry-leading data product offering. You will collaborate closely with global team members, domain experts, and business partners, managing priorities of different initiatives and using industry knowledge to help drive decisions and generate new dataset offerings. You will work to identify innovative workflow efficiencies and implement technical solutions to enhance our systems, products and processes. You will bring a unique combination of subject-matter-expertise in Fixed Income, good interpersonal skills, and a passion for problem solving to address our clients’ needs.

We'll Trust You To:

• Understand our customers’ needs and markets to ensure data is fit for purpose, ready for use, and meets service level agreements (SLAs)
• Collaborate with a wide variety of partners from Engineering to Sales on product development and implementation
• Research new data sets to expand the coverage of our products
• Implement quality control strategies including development of quality control rules
• Contribute to the creation of best practices and guidelines for data governance
• Balance the best of technical and product knowledge to implement solutions for customers
• Proactively support customers by helping them interpret data and predicting their follow-up questions/needs
• Apply problem-solving and data analysis skills to identify innovative workflow efficiencies and implement technology solutions to enhance our processes/overall product strategy

You’ll Need to Have:

• Bachelor’s degree in Finance, Accounting, Statistics, Business, STEM, or related field/equivalent experience
• Demonstrated continuous career growth within an organization
• Strong presentation and communication skills in English
• 4+ years of relevant work experience in the financial services industry, including exchanges, market data providers or financial institutions
• Experience working with data management paradigms and associated tools and technologies, such as the management, governance or quality assurance of data
• Experience working with ETL processes and broader data workflow engineering concepts
• Ability to take a logical approach and apply critical thinking skills in order to tackle problems
• Comfortable with a high degree of autonomy, with the ability to handle priorities from multiple internal and external partners
• Ability to adapt within a fast-paced and dynamic environment
• Proven customer service skills

We’d Love to See:

• Master’s degree in relevant field and/or CFA designation (or working towards it)
• Knowledge of statistical analysis and demonstrated applied data analysis skills, with proficiency using Excel as well as experience with SQL or Python
• Experience using data visualization tools such as Tableau, QlikSense or Splunk
• Experience transforming workflows into more timely and efficient processes

Does this sound like you?

Apply if you think we're a good match.

Why Bloomberg?
We’re individuals with diverse backgrounds, talents, and experiences who take on big challenges and create even bigger impact through our work. We’re interested in what makes you you, and how we can create opportunities for you to channel your unique, personal energy and grow to your fullest potential.

Learn more about our office and benefits:
Singapore | [2] www.bloomberg.com/singapore

• Together with the project team, analyze and optimize HR data to improve data quality and ensure accuracy across various modules in the HR system.
• Develop and implement data standards and guidelines to ensure consistency and integrity across all HR data
• Work closely with HR functional stakeholders to understand data needs and requirements, address data related challenges and support HR processes
• Work with IT team to troubleshoot and resolve data issues, ensuring seamless integration and operation of HR platforms.
• Identify opportunities to improve data related processes and workflows, ensuring that data management practices evolve with business needs

Interested applicants may email resume to [email protected]

Cheryl Lee Shi Le (CEI Registration No: R1434624)
Recruit Express Pte Ltd (EA: 99C4599)

Job Description

• Industry/ Organization Type: Telecommunication Services
• Position Title: Facilities Technician (Data Center)
• Working Location: New Tech Park & Techlink
• Working Hours: Rotating 8-hour shifts
• Salary Package: Basic Salary + Shift Allowance ($300) + Variable Bonus + Medical & Flexi Benefits
• Duration: Permanent

Key Responsibilities

• Maintain and service building facilities, including electrical and mechanical systems.
• Perform minor repairs and improvements to buildings and equipment.
• Conduct routine preventive maintenance on building systems and infrastructure.
• Manage and oversee contractors and vendors to ensure cost-effective, quality repairs and maintenance.
• Provide engineering support during weekends, public holidays, or extended hours when necessary.
• To standby 24 hours on duty roster (will provide additional standby allowance).

APPLY NOW!!!

• Minimum ITE Certificate/Diploma in Mechanical/ Electrical Engineering, Facilities Management or related fields.
• With hands-on skill set in mechanical (ACMV) and electrical systems, with proficiency in maintenance, troubleshooting, and repair.
• Prior work in critical environments like Data Centres, Cleanrooms, or Semiconductor plants is an added advantage.
• Effective communication skills and ability to work as part of a team.
• Competent in using Microsoft Excel and Word.
• Good understanding of facility M&E (Mechanical & Electrical) systems.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #64875 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Just Graduated/ORD-ED/ Looking for a Change?
Look no further!

As the leading industry expert, Euphoria Organisation is the go-to outsourced sales and marketing firm that renowned businesses rely on to increase their market share and brand awareness.

We are now expanding and looking to groom the next leaders of the industry and bring their careers to greater heights.

Responsibilities:

• Conduct sales and marketing strategies via face-to-face marketing channels to potential clients
• Support and enhance the team's business growth

You can look forward to:

• A Competitive Salary & Performance Bonuses
• 1-on-1 Mentorship
• Career Advancement and Progression
• Personal Development
• Overseas Exposure
• Dynamic Working Culture

Requirements:
* Adaptable & Determined
* No Experience Required as Training is Provided

Apply now if you are the next big thing out there :)

Job Scope:

This role involves creating mathematical formulas and models to address business challenges and drive operational efficiency. The Data Scientist will apply advanced mathematical techniques to develop solutions that enhance decision-making and optimize various business functions.

Responsibilities Include:

• Design and develop advanced mathematical, simulation, and optimization models and apply them to define strategic and tactical needs and drive appropriate business and technical solutions in the areas of price, fuel, network flow, supply chain optimization, and demand planning.
• Apply mathematical optimization techniques (linear, quadratic, SOCP, robust, stochastic, dynamic, mixed-integer programming, network flows, nonlinear, nonconvex programming) and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software
• Research, prototype and experiment with these models by using modeling languages such as Python; participate in the production level deployment

The candidate should have the expertise/experience of:

• Experience in building optimization models and implementing them
• Expertise in validating and simulating math optimization model
• Experience designing and supporting large-scale optimization systems in a production environment
• Analytical Skills: Strong ability to analyze complex problems, develop mathematical models, and interpret results.
• Mathematical Proficiency: Solid understanding of optimization techniques, linear programming, integer programming, and other mathematical methods.
• Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Problem-Solving: Strong problem-solving skills with a focus on finding effective and efficient solutions to business challenges.
• Attention to Detail: High attention to detail and accuracy in developing and validating models and solutions.
• Experience: Capable of building optimization models and implementing them with the ability of validating and simulating math optimization model

Job Requirements:

• Master or Bachelor Degree in Operations Research, Mathematical Optimization, Statistic, Computer Science or a related field with 2+ years of similar job experience
• Expertise in at least one of the areas of convex optimization, robust optimization and supply chain management Strong coding skills (one or more of Python or R) and experience using one or more commercial optimization solvers

Experience:

• 2+ years of experience in data science, with a focus on solving optimization problems. Experience in industries such as logistics, manufacturing, finance, or tech is preferred.
• Demonstrated experience in leading optimization projects from conception to deployment, including model development, validation, and implementation.

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

We are looking for a skilled and proactive Data Transformation Consultant to join a in-house team. The ideal candidate will play a crucial role in leading and executing data transformation initiatives across the organization, helping to drive business innovation and operational efficiency. This role requires a confident consultant who can engage with senior stakeholders, understand their needs, and deliver impactful data-driven solutions.

Key Responsibilities:

• Partner with senior stakeholders to understand business challenges and define data transformation strategies that align with organizational objectives.
• Lead end-to-end data transformation projects, from data discovery to implementation, ensuring seamless integration and optimization of data systems.
• Collaborate with business units and IT teams to identify data gaps, propose solutions, and ensure data integrity throughout the transformation process.
• Manage data migration and integration projects, ensuring the successful transition of data between legacy systems and new platforms.
• Translate complex technical concepts into clear, actionable insights for senior stakeholders, enabling data-driven decision-making.
• Develop and maintain clear documentation for all data transformation processes, ensuring transparency and alignment with business goals.
• Continuously monitor and improve data quality, ensuring that data systems are scalable, efficient, and aligned with best practices.
• Stay informed on industry trends and emerging technologies in data transformation to advise on innovative solutions.

Qualifications & Skills:

• 4-6 years of experience in data transformation, data management, or related roles, with demonstrated success in leading data projects.
• Strong experience in collaborating with senior business leaders and understanding business needs.
• Have considerable experience in the industrial/engineering/manufacturing industry.
• Expertise in data integration, data modeling, and ETL (Extract, Transform, Load) processes.
• Proficiency with data transformation tools such as SQL, Python, or ETL platforms (e.g., Informatica, Talend).
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong interpersonal and communication skills, with the ability to present complex data concepts to senior executives.
• Familiarity with database systems (e.g., SQL Server, Oracle, MySQL) and business intelligence tools (e.g., Power BI, Tableau).
• Proven ability to manage multiple projects and work cross-functionally in a fast-paced environment.

Education:

• Bachelor’s degree in Data Science, Computer Science, Information Technology, or a related field.

Preferred:

• Experience working in-house with cross-functional teams.
• Exposure to business intelligence, analytics, and digital transformation initiatives.

EA License No.: 23S2046

KAH License No.: R1652932

Job Scope:

• Ensure the store & shelves are clean and tidy
• Ensure that items/goods are counted and delivered to wards and other departments Ensure that items/goods are counted and delivered
• Assist in supervising vendors in placing goods in respective shelving
• Ensure that goods are stacked neatly, and labelled
• Send and collect mail
• Print forms requested by departments and wards
• Any other job as assigned by Executive or Purchasing Assistant
• Responsible for the smooth running of Central Store processes, in charge of daily monitoring of stock movement.

Requirements:

• Minimum N/O Levels
• No experience needed, Training provided!!
• Able to start work immediately

Interested candidates please send your updated resume in MS Word Format to:

[email protected]

Subject: Storekeeper

or call 6736 3280 and ask for Kate

EA Personnel: Kate Leau Wei Xuan (R1552331)

Company Registration No.: 99C4599

1. Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.

2. Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.

3. Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.

4. Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.

Elsa Fontanne (CEI No. R24124496)

Recruitment Consultant

Contact Number: 67860100

Email Address: [email protected]

Recruit Express Pte Ltd / EA Licence No: 99C4599

We regret only shortlisted candidates will be contacted

Highlight:

• Fortune 500 MNC
• Permanent job opportunity
• Great remuneration & benefits
• Great career progression
• Location: East

Responsibilities:

• Oversee/ carry out regular Data centre (DC) facility work including vendor management.
• In troubleshooting, responsible for taking immediate action and promptly performing recovery process against any system failure, service failure or building structure problem in timely manner
• Overseeing the performance of various equipment, ensuring efficiency and continuous improvement of services to enable contribution to the success of the entire business
• Make mid-long term facility replancement plan for improvement (stable and effective) for DC facility, carry out along the plan.
• Make site tour of DC facility and support proposal for sales, also arrange/ response to customer related to DC service on behalf of sales (when requested).
• Establishment of necessary operation procedure, maintenance procedure and emergency procedure to preserve good condition to the premises and all equipment or environment in data center.
• Train NOC member for enabling 1st level troubleshooting of DC facility.
• Any other duties reasonably associated with this position.

Requirements:

• At least 5 year's experience in data center maintenance or operation management.
• Basic understanding of building facility management, electrical/or mechanical equipment such as generator, High/Medium Voltage equipment, generator, transformer, UPS , CRAC , CCTV , Access permission system and fire extinguisher are required.
• Risk Management: Understanding risk assessment and mitigation strategies related to data center operations, including disaster recovery planning, business continuity, physical security protocols, and compliance with relevant industry standards and regulations.
• At least 3 years' experience of member (people) management.
• SLA’s and KPI delivery experience, Setup operational KPI and planning periodic preventive maintenance plan for each targeted Electrical and Mechanical equipment.

HOW TO APPLY:

Interested applicants, please send your latest resume to [email protected] or click on “Apply Now” and provide the below details in your resume.

• Last drawn salary
• Expected salary
• Notice period
• Reason of leaving

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: Lim Dick Sern (Dick Sern)

EA Personnel Reg No: R2210683

Working Location: Alexandra

Working Hours: 10am to 6pm (Mon to Fri)

JOB DESCRIPTION

· Identify target audiences and determine the most effective marketing approaches to reach them

· Develop campaign themes, messaging, and content that resonate with target audiences

· Create compelling and engaging content for various platforms, including websites, blogs, social media, and email marketing

· Manage and optimize digital marketing efforts, including SEO, SEM, PPC, and social media advertising

· Analyze website traffic and online behavior using analytics tools to identify trends and insights

· Develop and maintain an effective social media presence to engage with audiences and build brand loyalty

· Conduct market research to understand industry trends, customer preferences, and competitive landscape

· Analyze data to inform marketing strategies and identify opportunities for growth

· Prepare reports and presentations on market trends and campaign performance

JOB REQUIREMENTS

· Minimum Diploma and above

· Able to work independently

· Prior experience in the marketing field will be an advantage

· Results-oriented, ambitious and positive working attitude

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

Working location: Alexandra

Working hours: 10am to 6pm (Mon to Fri)

JOB DESCRIPTION

· Develop and implement effective recruitment strategies to attract qualified candidates

· Utilize various sourcing methods, including job boards, social media, networking, and employee referrals

· Review resumes and applications to identify suitable candidates

· Conduct initial phone screenings to assess candidate qualifications and fit

· Evaluate candidate skills, experience, and cultural fit through interviews and assessments

· Build and maintain strong relationships with candidates, hiring managers, and external recruitment partners

· Maintain accurate and up-to-date records of recruitment activities and candidate information

· Prepare recruitment reports and analyze data to improve recruitment strategies

· Assist with any other HR administrative tasks

JOB REQUIREMENTS

· Minimum Diploma and above

· Strong organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

Working Location: Alexandra

Working Hours: 10am to 6pm (Mon to Fri)

JOB DESCRIPTION

· Gather and compile data from various sources, including databases, reports, and external sources

· Analyze data to identify trends, patterns, and insights that inform business decisions

· Use statistical and analytical tools to perform data analysis

· Prepare detailed reports and presentations based on data analysis

· Create visualizations, charts, and graphs to effectively communicate findings to stakeholders.

· Ensure accuracy and clarity in all reports and presentations

· Provide actionable insights and recommendations to improve business performance

· Conduct market research to understand industry trends, customer behavior, and competitive landscape

· Develop and maintain documentation for data processes and methodologies

JOB REQUIREMENTS

· Minimum Diploma and above

· Strong analytical and problem-solving skills, with the ability to think critically and draw meaningful insights from data

· Excellent communication and presentation skills, with the ability to convey complex information to non-technical stakeholders

· Attention to detail and accuracy in data analysis and reporting

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

Working Location: Alexandra

Working Hours: 10am to 6pm (Mon to Fri)

JOB DESCRIPTION

· Participates in all project-related activities, tracks progress towards milestones

· Collaborates with the organization's compliance team to address any issues or concerns

· Research information to support other teams and departments as needed

· Creates schedules, coordinates and arranges meetings, info sessions, and other events, ensures that all participants are invited and well-informed

· Keeps up to date organization's relevant databases

· Perform administrative tasks such as preparing invoices, estimates, scheduling meetings, etc.

· Keep track of and report on project progress

· Complete any tasks assigned by the Manager in an efficient and timely manner

· Track project expenses, budgets, and resource allocations, and report any discrepancies or variances to project managers

JOB REQUIREMENTS

· Minimum Diploma and above

· Excellent organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously

· Strong communication and interpersonal abilities, with a customer service-oriented approach.

· Proficiency in MS Office applications

· Attention to detail and accuracy in handling documentation, data, and information

· Ability to work effectively in a team environment and collaborate with colleagues from diverse backgrounds

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278