Deposits – Maker Role

• Maker role that involves pre-processing checks, data input and transactional processing of customer instructions for Time Deposits, Maxiyield, Structured Products, Remittances, Cashiers' Orders and Demand Drafts

• Performs reconciliation of instructions at end day and ensure filing is complete and up todate.

• Adhere to SOPs and ensure compliant with applicable Regulations and Bank Policies. Be audit ready and achieve satisfactory rating for both internal and external audit reviews.

• Handle queries from Business Units within agreed time frames and proper follow ups on issues

• Carry out any adhoc assignments/ projects as given by Team Lead and/or Department Head.

• Identify process improvements and automation opportunities to improve productivity and mitigate risks.

Skills/Technical Ability required

Good verbal and written communication skills

Independent worker.

Data input

Systematic and knowledge of Fixed Deposits, Structured Products and Remittances

Attributes/Personality traits required

Team player and ability to work under pressure

Meticulous (Data Input Nature of the Role)

Disciplined and able to work independently

Able to work Overtime

Experience

More than 1 year banking operations experience desired

Candidates with data input processing experience from non-banking industries are welcomed to apply

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

HR Operations for Logistic Sector @ West (Learning Development & Training, Up to $3.2k, No Exp Ok)

• ❕Near MRT, Accessible Location!
• ❕Simple & easy job
• ❕7am-3pm/3pm-11pm rotating
• ❕No Experience Needed
• ❕Dress Down

Job Scope:

Job description:

• Monitor incidents/requests though emails and Service Now ticketing system
• Daily checks of data center hardware and facility systems
• Mount and dismount of systems
• Rebooting/power-cycling and refreshing servers/equipment
• Ensuring the moving and securing of network cables and connectors
• Assist in managing asset/inventory
• Receiving requests and handling shipping
• Able to conduct audits/validation
• Escort vendors and visitors to the DC cage
• Prepare daily and other ad hoc reports for management

Requirement:

Minimum 1 year experience in Data Center operations

Experience in eyeball checking of system faults and failures

Good MS Excel and communication skills.

Good technical knowledge in Service Now or ticketing tool

Good knowledge of structured cabling

Able to work in following shifts:

0700-1600 hrs.

1400-2200 hrs.

Data Scientist

Work Location: Near Paya Lebar MRT

Working Hours: 9.00AM - 6.00PM

What you will be working on

The Data Scientist in the Data Strategy and Analytics Division reports to the Principal Manager and plays a pivotal role in deriving business insights from large and real-time datasets for fraud and risk management, strategic planning as well as operational efficiency.

This position will develop, deploy and maintain data analytic models as well as have opportunities to also collaborate with other public agencies to introduce and enhance data science capabilities (such as Jobs and Skills) for the organisation. As the domain expert in data analytics the Data Scientist is also expected to coordinate, strategize and guide the officers performing data analytics work to achieve efficiency and accuracy.

• Data Analysis & Model Development
• Research and develop statistical and machine learning models for comprehensive data analysis
• Utilize algorithms and models to mine big data, perform data and error analysis, and ensure data uniformity and accuracy generate insights at scale
• Apply data mining techniques and perform statistical analysis to Collaboration & Solution Development
• Work closely with both internal and external stakeholders to understand analytic needs and develop effective solutions
• Create machine learning-based tools or processes, such as recommendation engines, and monitor their performance through A/B testing and predictive capabilities
• Communicate analytic solutions to stakeholders and implement necessary improvements to operational systems
• Innovation & Capability Building
• Identify relevant structured and unstructured data sources for mining meaningful insights
• Build prototype analysis pipelines iteratively to provide scalable insights
• Contribute to building data analytics capabilities across the organization, emphasizing the strategic value of data in achieving business objectives

What we are looking for

• Tertiary qualification in a quantitative discipline such as Computer Science, Economics, Statistics, or Applied Mathematics.
• 3-8 years of experience in computer science, applied mathematics, or other quantitative/computational disciplines.
• Proven experience in data visualization tools (e.g., Tableau) and data analysis/processing tools (e.g., R, Python).
• Experience with Cloud Technology (e.g., AWS data and analytics Tech Stack) and distributed computing tools (e.g., Hadoop/Spark).
• Demonstrated ability in building machine learning models at scale, using real-time data pipelines on platforms.
• Strong analytical skills with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
• Proficiency in data engineering, including SQL and manipulating structured and unstructured data sources for analysis.
• Advanced skills in pattern recognition and predictive modeling.
• Experience or specialization in fraud prevention/detection, compliance, forensics, or Jobs and Skills related analysis will be considered advantageous.
• Excellent communication and presentation skills, with a strong emphasis on collaboration and innovation.

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/apply/9766

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. R1223746 Tan Eng Kah (Chen Yunjia)

Data Analysts collect data, such as sales numbers or market research, to help companies make the right decisions. Key role of this position is to generate actionable insights, trends, problem statements, and business value. This person may be required to work with key partners in business and technology teams to create meaningful visualizations and stories to describe data in forms usable by the business.

Responsibilities

• Collaborate with cross functional team members and stakeholders to identify, collect and analyze data; to solve data related business challenges
• Analyze datasets to identify trends and uncover insights for potential business improvement and business opportunities
• Set up and maintain tracker on key leading business indicators
• Use graphs, infographics and other methods to help visualize data and present recommendations and findings to stakeholders
• Create useful reports and dashboards to help team members and stakeholders track performance and achieve business goals
• Establish KPIs to measure the effectiveness of data driven business decisions
• Ensure data is clean and Verified for accuracy and consistency
• Supporting the data warehouse in identifying and revising reporting requirements
• Providing expertise in data storage structures, data mining, and data cleansing
• Create and apply statistical model if necessary to create and evolve insight

Qualifications:

• Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Business or any other related discipline or commensurate work experience or demonstrated competence. Proven experience in data analysis, preferably in a similar role.
• Typically has 2-3 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with little or no work experience.
• Strong analytical, curious, business-oriented and written/oral communication skills
• Strong data visualization skills using tools such as Tableau, Power BI, or others.
• Excellent problem-solving and critical-thinking abilities.
• Effective communication skills with ability to story tell through data
• Keen learner, open to feedback and self-improvement
• (Preferred) Familiarity with data governance principles and data privacy regulations
• (Preferred) Programming knowledge such as Python and R
• (Preferred) Knowledge in Data Warehousing, ETL/ ELT processes

At Acquiplus Private Limited, we are one of the fastest-growing companies specializing in face-to-face marketing.​ We believe in bringing out the best in our people and the potential to succeed is infinite. We constantly seek improvements, exploring the unknown to expose ourselves to various projects and stay relevant and versatile in today's market. We strive to outshine the best at everything we do with utmost enthusiasm.

Given future expansion, we aim to provide a unique and innovative approach to increase profits and growth for our clients. We promise to excel in everything we do and provide the best for our people.

Main Responsibilities:

• Develop and propose targeted marketing strategies and solutions that align with clients' goals and objectives.
• Hold regular team meetings to evaluate and understand marketing needs.
• Support the planning of sales and marketing events, including seasonal campaigns.
• Build relationships with industry professionals to enhance brand visibility.

Job Requirements:

• Strong communication and interpersonal skills with a creative and conceptual mindset.
• Capable of managing and prioritizing multiple projects effectively.
• Friendly, resourceful, innovative, and energetic team player.

The Opportunities:

• One to one mentorship provided
• Career advancement to lead the team and manage projects
• Development workshops to upskill yourself
• Travelling Opportunities

Click APPLY NOW to find out more in details, we regret to inform that only shortlisted candidates will be notified.

Account Assistant

5 days work

8.30am – 6pm

$1800 to $2200 + Allowance =gross $2.2 - $2.5k

Location: Paya Lebar

Requirements:

• Diploma or degree holder
• Training provided
• Basic accounting knowledge

Responsibilities:

• Manage AP and AR accounting functions
• Liaison with banks, financial institutions, auditors and other departments when necessary
• Assist in month end closing
• Any other ad-hoc duties assigned

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

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Our client is an FMCG goods wholesaler in Singapore.
Company transport is provided in Tuas MRT.

• Supervise the loading, off-loading of goods from shipping containers and stacking of the goods in the receiving and dispatching area.
• Tally all goods and match them with shipping invoices and packing orders to ensure the accuracy of incoming and outgoing shipments.

Requirments:

• At least 1 year of working experience
• Detail oriented and with special attention to accuracy and timely reporting.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

Position

Data Security Expert is a technical expert role within the Data Security Services team and will be responsible for managing, administration and supporting the Data Security and Endpoint Security technologies for the bank.

Person will be the technical point of contact for the Run team and the related activities to data security and will be the last level of escalation for the Security specialists in the team. He/She is also responsible for the technical transition and validation of Security services from other regions to Singapore. He/She will be involved in projects and POC’s that may involve security services. He/She works with continuous improvement principles. He/She is equivalent to the Subject Matter Expert on the technologies within data security.

Data Security Services team in Singapore is responsible for day-to-day operational services on the infrastructure of Europe (mainly France and UK) and Asia remotely from Singapore. France infrastructure represents approximately 80% of the worldwide production activities of the company in Singapore.

Team works in Europe time zones and this role will be aligned primarily to Paris working hours. Flexible rotations are followed based on the nature of duties.

The operational support of the team covers the following technical scope:

• Endpoint Security technologies – Anti-virus management, Host Intrusion Prevention System etc.
• Data Leak Prevention systems. - Email Prevent, Web Prevent, Endpoint Protect,
• Encryption Solutions: Disk Encryption, File and Folder encryption,
• Database Audit Monitoring solutions
• Email and Web Phishing Prevention solutions.
• Vulnerability Management

Responsibilities

The Expert has a wide spectrum of responsibilities and actions. Person will be responsible for following (but not limited to) responsibilities in day-to-day work:

As the Expert of the team, he/she:

• act as the last level of escalation for the team members
• own Incident, Problem and change management process for the team
• assigns technical tasks and manages delegation
• animates the team to encourage collaboration and sharing of practices
• participates to recruitment process for the team

As the Expert of his/her scope of activity, he/she:

• is actively involved in incident management (fault investigation, resolution escalations of all monitoring alerts and user initiated problem calls/tickets) and request management
• Is the final technical approver for any changes into Data Security systems and is accountable for any technical changes in the environment from a RUN/BAU perspective
• Is involved in projects like End of Life, New Builds, migrations and technical upgrades of the solution managed by the team
• Participates in global Infra events (like Power down and DR Tests)
• ensures activity is performed in compliance with norms, standards, processes and procedures
• gathering required evidence using multiple forensic tools to investigate any data leak incident, conducting interrogation if required, case closure and reporting
• ensures documentation is up to date and relevant for use
• lead the continuous improvement initiatives
• responsible to drive and deliver root cause for any high severity issues
• Focus on automation and optimum use of the team to improve efficiency
• Maintain appropriate knowledge to ensure to be fully qualified to undertake the role.
• Complete all mandatory training as required to attain and maintain competence
• Comply with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to, the Singapore Compliance manual and Compliance policies and procedures as issued from time to time; Financial Security requirements, including, but not limited to, the prevention of Financial Crime and Fraud including reporting obligations to the Money Laundering Reporting Officer.

Qualifications and Profile

Functional

• 5 - 7 years of IT Security experience in administration and management of IT Security technologies primarily Endpoint Protection, Email Security and DLP, Data Classification and other endpoint & data security solutions;
• Knowledge of different domains of IT Security;
• Working & hands-on experience in administering the IT Security Solutions;
• Must have experience in working in similar Production setup in Run (Operations) mode;
• Ability to apply risk based approach while working on assigned responsibilities;
• Experience in defining, implementing, and enforcing enterprise-level IT security policies for endpoint and data security solutions;
• Must have working experience in managing endpoint security solution for a Large enterprise level environment, working experience in financial organization is preferred;
• Excellent in analytical, communication and documentation skills;
• Ability to organize work and be able to priories work as per the needs of Production Operation’s needs;
• Must have strong understanding of ITIL processes and comfortable working in process oriented environment;
• Ability to work independently and as well as a part of team and is able to work under minimal supervision;
• Should have time management skills and able to manage work in fast moving environment;
• Excellent written and oral English language skills;
• Knowledge of French language is preferred.

Technical

• Hands-on experience on Symantec Data Loss Prevention (DLP);
• Highly proficient overall security solutions like, Endpoint Protection, Email Security and Vulnerability Management;
• Deployment, integration and administration experience of various components of Symantec DLP:

- Symantec Endpoint Protect

- Symantec Web Prevent

- Symantec Email Prevent

- Symantec Enforce

• Good to have experience in defining, designing and configuring DLP Policies as per the business requirements;
• Deploy, upgrade and troubleshooting knowledge on Symantec DLP solution;
• Deploy, Upgrade and troubleshoot on DAM Solutions like IMPERVA or Guardium
• Expertise knowledge in Email Security Solutions
• Hands-on to Expertise knowledge in MS Defender for endpoint and or Cloud.
• Scripting knowledge (Phyton, Regular Expression, Powershell) is desirable;
• Professional Certifications:
• CISSP certified is highly preferred
• Symantec Certified Expert: Administration of Data Loss Prevention (any version) is highly preferred.
• Must be experienced to cover the scope as mentioned in the SKILLS MATRIX section of this document.

Technical skills

• Symantec Data Loss Prevention Administration (DLP Policy/Rules creation expertise): Good to have
• Database Access Monitoring: Good to have
• Symantec Endpoint Protection (Anti-Virus): Good to have
• Microsoft Defender Suite: Good to have
• Email Security: Knowledge
• Python, Regular Expression, Powershell: Knowledge

General skills

• Ability to prioritize effectively: Must to have
• Ability to work autonomously: Must to have
• Ability to work successfully in a team: Must to have
• Adaptability to changing environments: Must to have
• Inter-personal skills: Must to have

Management skills

• Ability to deal with issues, time management: Critical
• Manage escalated incidents: Critical
• Capacity to cooperate / work across discipline: Critical
• Capacity to develop others: Desired

Language skills

• English: Critical
• French: Good to have

Work Schedule

• Required to work on Paris and/or New York and/or Asia time zone*, i.e. 2pm to 11pm/4pm to 1am (summer season) or 3pm to 12am/ 5pm to 2am (winter season), or in accordance to the planned time schedule as required. If necessary, you may also be required to start work earlier or to extend working hours.
• May be required to be available for on-call support during non-business hours and/or on weekends. Allowance is claimable for such hours.

Education Requirements

At least a Bachelor’s degree in any of these faculties:

• Computer Science
• Information Technology
• Programming & Systems Analysis
• Science (Computer Studies)

Next Step

Prepare your updated resume and expected package.

Simply click on 'Apply here' or email to [email protected] to drop your resume

All shortlisted candidates will be contacted.

Prasant Sirohi

EA License Number: 91C2918

Registration Number: R22106307

· Perform remote hands services including tasks such as securing cabling, checking port numbers, observing, or reporting indicators on equipment, rudimentary observation of the environment, and server reboots.

· Perform remote Hand support (Media Management, Visual Inspection, Reboot devices, staging room, Physical connect/disconnect of HDD, network cable connectivity test, insertion of fibre SFP, circuit migration, dismantling unused fibre, fibre regrooming etc).

· Assist to oversee the IT equipment hardware inventory on individual racks inside the Data Center.

· To handle input and output media with due care for integrity of data and utility of media for subsequent use, including off-site storage.

· Perform event monitoring for IT Systems and Network infrastructure.

· Perform incident escalation, ensure incidents are responded and attended to. To redirect for 2nd or 3rd level resolution based on critically, impact and customer Service Level Agreement (SLA).

· Manage and mitigate escalations of high impact system failures and assist in tracking the incidents till closure.

· Perform troubleshooting using test gear/tools; Virtual fault locator, Optical fiber identifier, Optical power meter, Optical time domain reflectometer.

Responsibility

- Create frameworks, technical features which helps in faster operationalisation of Data models, Analytical models(including AI/ML) and user generated contents (dashboards, reports etc)

- Effectively partner with data scientists in enabling faster adoption of AL/ML model based systems

- Independently install, customise and integrate software packages and programs

- Design and develop application frameworks for data integration

- Create technical documents such as solution design, program specifications for target solutions

- Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation

- Maintain and recommend software improvements to ensure a platform centric management of software applications

- Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing

Requirement

- 8+ years of experience with application development in Big Data Ecosystem (such as Cloudera, ElasticSearch, Spark, Presto, Hive, Impala, Kibana, Logstash, Hbase, Kafka),

- Expertise in building applications using Java, Scala, Python, Shell scripting

- Experience in large scale implementations and performance optimizations in the Big Data Ecosystem using Spark, Hive, Impala, Apache Kudu, Ozone, Presto, Tez, Iceberg etc

- Knowledge of frameworks such as Spring, Struts, Hibernate etc.

- Knowledge of Object Oriented Programming, Multi-threading, Containerization, etc

- Knowledge of related technologies such as HTML, Javascript, CSS, React, Jquery, node.js, docker

- Knowledge of Elastic, Kibana, Logstash, Hive, Sqoop, MongoDB, Oozie, Flume, Kafka

- Expertise in integrating applications with Devops tools

We are partnered with an established oragnisation in search of a Data Center Engineer.

12 Hours Rotating Shift

The Data Center Engineer will focus on the installation, maintenance, and management of data center hardware and infrastructure. This role is responsible for monitoring hardware performance, maintaining an accurate inventory of data center equipment, and coordinating with vendors for procurement, repairs, and warranty services. The technician will ensure that all hardware operations support uptime requirements and efficiency across the data center.

• Hardware Installation & Maintenance: Install, configure, and decommission servers, storage devices, network equipment, and other hardware as required. Conduct regular maintenance, diagnostics, and troubleshooting of hardware systems to ensure optimal performance and reliability. Coordinate and perform hardware upgrades or replacements to maintain up-to-date infrastructure.
• Vendor Coordination & Management:Engage with vendors to source, order, and manage hardware procurement, ensuring timely delivery and installation. Handle vendor communications for equipment maintenance, repairs, and warranty claims. Review and evaluate vendor performance, track service agreements, and escalate issues as needed.
• Data Center Operations Support:Perform regular walk-throughs and visual inspections to ensure hardware and environment meet operational standards. Monitor power and cooling systems, coordinate with facility teams for any required adjustments to environmental conditions. Ensure data center hardware setups align with SLAs and availability targets, reducing downtime risks.
• Documentation & Reporting:Keep thorough records of installations, repairs, configurations, and hardware movements within the data center. Develop and maintain SOPs for hardware management, vendor coordination, and inventory procedures. Generate and present regular reports on inventory levels, vendor issues, and hardware performance metrics.
• Security & Compliance:Ensure compliance with security protocols and data center access policies, managing hardware-related security aspects. Support periodic audits for physical security and inventory management to align with company standards and regulations.

Qualifications:

• Education: Associate’s or Bachelor’s degree in Information Technology, Computer Science, or related field (preferred but not required).
• CAT 1 Security Clearance
• Experience: 1-3 years of experience in data center hardware management, IT infrastructure, or a similar role.
• Certifications: CompTIA A+, Server+, or other relevant certifications (preferred).

Skills:

• Hardware Expertise: Strong understanding of servers, storage devices, networking hardware, and related data center infrastructure.
• Inventory Management: Experience in tracking and managing inventory levels, procurement processes, and forecasting needs.
• Vendor Relations: Ability to effectively manage vendor relationships and coordinate hardware delivery, maintenance, and warranty services.

Job Description

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with UOB BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Job Description

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with UOB BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position: Temporary Data Assistant

• Location: Alexandra Technopark, Singapore (Fully in-office)
• Duration: 6-month contract
• Working Hours: Monday to Friday, 9:00 AM - 6:00 PM
• Salary: Up to $2,650

Job Summary:

The Temporary Data Assistant will support customer/business name data clean-up efforts, requiring accuracy and proficiency with large data files and Excel.

Key Responsibilities:

• Data Cleaning: Complete data clean-up tasks by assigned deadlines.
• Excel Proficiency: Use Excel to process and tabulate large datasets.
• Attention to Detail: Maintain accuracy and thoroughness in data handling.

How to Apply: Send your resume to:

Job Description

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with UOB BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Responsibilities:

• Data Collection and Analysis: Collect, analyze, and interpret data from various sources and complex transactions to identify trends, and insights that inform data solutioning processes
• Data Quality Assurance: Assist in data validation efforts to ensure datasets meet end users’ requirements to deliver high quality product releases, and continuous support in monitoring data quality and resolving data discrepancies
• Collaboration: Work closely with cross-functional teams, including data engineers, business analysts and stakeholders, to gather data requirements and ensure data integrity
• Enhancements: Identify opportunities for process improvement and operational efficiency
• Research and Learning: Deeply understand business activities, commercial interests, and continuously expand knowledge and skills in data analytics techniques and tools

Requirements:

• At least 3 years of financial/business/data analysis experience
• BS/MBA in Finance, Accounting, Economics, Business Analytics or equivalent
• Excellent problem-framing, problem solving and project management skills, with the ability to change direction quickly
• Excellent verbal and written communication skills with ability to articulate results of analysis in business terms
• Ability to conduct complex, data driven analysis
• Ability to work independently and collaboratively in a fast-paced environment
• Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis

• Work with data like images, videos, audio, and text etc.
• Design, train, optimize, and deploy deep learning models with GPU.
• Develop comprehensive unit tests and documentation, and rigorously evaluate and benchmark model performance and quality.
• Communicate effectively between the business team and the engineering team to gather and implement project requirements.
• Own the end-to-end process, from defining the technical problem to deploying the solution in collaboration with engineers.
• Stay current with the latest advancements in deep learning and AI technologies.

Which entity will this job posting be for?

Velox Pay Singapore PTE LTD

What is the job title for this job?

Senior Data Scientist

Occupation for the job (refer to this link)

Data Scientist

Job Function (Max 5)

Data Scientist, AI Engineer, Machine Learning

Position Level

Senior (L3)

Minimum years of experience

3 Years of experience

Employment type

Permanent

Minimum Qualification level

Bachelor Degree

Field of Study

Computer Science

Min Monthly Salary Range (SGD)

Max Monthly Salary Range (SGD) – Max Salary cannot exceed two times of the min salary

Job Description

• Work with data like images, videos, audio, and text etc.
• Design, train, optimize, and deploy deep learning models with GPU.
• Develop comprehensive unit tests and documentation, and rigorously evaluate and benchmark model performance and quality.
• Communicate effectively between the business team and the engineering team to gather and implement project requirements.
• Own the end-to-end process, from defining the technical problem to deploying the solution in collaboration with engineers.
• Stay current with the latest advancements in deep learning and AI technologies.

Job Requirements

• 3+ years of experience in deep learning, particularly with (prio 1)computer vision, voice, and text processing.
• Proficient in data preprocessing, model training, evaluation, and optimisation.
• Practical experience in applying deep learning to solve real business problems, with models successfully deployed and used in production environments. (NLP, chat GPT)
• Proficient with deep learning frameworks such as PyTorch, and familiar with Python, C++, and inference engines like NCNN.
• Experience with cloud platforms like GCP or AWS, and working knowledge of Android/iOS is a plus.
• Strong communication skills to understand business needs and effectively convey analytical solutions.
• Ability to write clear and concise technical documentation.
• A Master’s or PhD in Computer Science, Data Science, AI, or a related field.

Job Description

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with UOB BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

• Empowered to make impactful decisions
• Engage with complex challenges to enhance business optimization
• Experience with cloud platform like GCP

about the company
My client is a leading Southeast Asian technology company founded in 2010. They are seeking a Senior Data Scientist to drive impactful decision-making at scale and to influence multiple business lines.

about the job

• Collaborate with multiple product teams to understand their unique challenges and objectives in building ranking and recommendation systems.
• Translate business goals and customer needs into actionable technical requirements and machine learning services.
• Design, develop, and maintain data-driven models and systems to support our business objectives.
• Lead and oversee data science projects from start to finish, ensuring alignment with objectives and timely delivery.

skills and experience required
7+ years of experience in data science or a related field. Knowledge of recommendation algorithms and familiar with ranking algorithms and performance metrics.

Hands-on experience with Python and machine learning/statistics libraries like scikit-learn, LightGBM, and XGBoost.

Experience with cloud platforms (GCP preferred) and containerization technologies.

whats on offer
The permanent role for Senior Data Scientist will pay a salary range of $ 150k / year plus perks from the company. This is an opportunity for join a market leader that has grown year on year.

To apply online please use the 'apply' function, alternatively you can contact Olivia Toh at 84046595. (EA: 94C3609 / R22109942)

https://www.linkedin.com/in/Oliviatoh-032330132/.

Job Duties

• Able to plan and make necessary arrangements for specific jobs given
• To conduct quality checks on work done by workers
• To oversee daily operations at site
• Ensuring that all workers comply with all safety measures required
• Liaise with main contractor and coordinator with regards to all matter pertaining to the project
• Responsible for the upkeep of documentation on project matters
• Submission of daily reports to coordinator and as built drawings upon completion

Job Requirements

• With at least 5 years of relevant site supervision experience especially with RC works, Dwall, canal and road diversions
• Possess required BCSS/Work at Height Assessor / Supervisor certifications
• Lifting Supervisor certificate an advantage
• Registered Earthwork Supervisor certificate an advantage
• Supervise Confined Space Work certificate an advantage
• Have initiative and responsible at work
• Conversant with key plans/technical drawings

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

About the role:

As a Data Engineering Intern at Rapsodo, you’ll play an essential role in building and optimizing the data infrastructure that powers decision-making and innovation throughout our organization. This role is ideal for students passionate about data engineering, with a foundational knowledge of data analytics to support meaningful insights. You’ll gain hands-on experience with cutting-edge technologies, applying your skills to bridge data engineering and analytics, and making an impact on projects in sports technology and business strategy.

Key Responsibilities:

·       Participate in the design, development, and maintenance of Rapsodo’s data systems, using tools like Google BigQuery, Kafka, and GCP Pub/Sub.

·       Support data ingestion, processing, and ETL (Extract, Transform, Load) processes to deliver reliable data for analytics teams.

·       Collaborate with data analysts and scientists to ensure clean, structured data is available for analysis, reporting, and visualization.

·       Assist in the setup and monitoring of real-time data pipelines, learning to identify ways to streamline data ingestion and reduce latency.

·       Work on data collection, cleaning, and preprocessing, preparing data for analytics and helping generate insights for diverse projects.

·       Collaborate with the team to troubleshoot and improve data pipeline and infrastructure efficiency.

·       Create basic reports, dashboards, and visualizations with tools like Tableau or Power BI, conveying valuable insights to business stakeholders.

·       Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field.

·       Knowledge of SQL and familiarity with Google BigQuery or other data warehousing solutions.

·       Exposure to programming languages such as Python or R and experience with data manipulation, cleaning, and preprocessing techniques.

·       Interest in or exposure to data streaming technologies (e.g., Kafka, GCP Pub/Sub) and ETL development.

·       Basic understanding of statistical analysis and hypothesis testing to support data-driven insights.

·       Experience with data visualization tools (e.g., Apache Superset, Tableau, Power BI, or Matplotlib) is a plus.

·       Excellent written and verbal communication skills.

·       Strong analytical skills, attention to detail, and problem-solving abilities.

·       Strong interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.

·       An inquisitive mindset, coupled with a desire for continuous learning and growth.

The Job:

• Gather and input data into databases
• Verify and review data for errors or redundancies, make corrections and check output
• Work with different stakeholders to deliver process improvement and efficiency
• Self-starter to response/ liaison with business units/Vendors on systems enhancement and projects

The Requirements:

• Min GCE A Level/ Diploma Holder with 2-3 years of relevant working experience in the banking industry
• Proficient in MS Office

Interested applicants can send their detailed resumes to [email protected] or call JANE @ 6735 1955.

JANE LUI JIE'EN

CEI: R1104482

Company Reg. No. 199601303W || EA Licence No. 99C4599

Job Descriptions

• Providing strategic HR consulting and advisory services to business leaders and managers
• Partnering with stakeholders to identify and address HR-related challenges and opportunities
• Developing and implementing HR policies, programmes and initiatives that align with the company's goals
• Driving employee engagement and retention efforts through performance management, learning and development
• Overseeing HR operations such as recruitment, onboarding, compensation and benefits
• Collaborating with the HR team to ensure compliance with employment legislation and best practices
• Contributing to the continuous improvement of HR processes and systems
  

Requirements

• 3-5 years of experience as an HR business partner, consultant or generalist
• Strong business acumen and the ability to understand and support strategic business priorities
• Excellent communication and interpersonal skills to effectively liaise with stakeholders at all levels
• Proficient in HR data analysis and using insights to drive HR initiatives
• Knowledge of HR best practices, employment laws and regulations
• Ability to work independently and as part of a team
• Tertiary qualification in Human Resources, Business or a related field

HOW TO APPLY:

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

We regret only shortlisted candidates will be notified.

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EA License No: 19C9950

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