• Permanent position with various allowances
• 12 hours shift work
• MNC Chemical Manufacturing Company at Jurong Island with transport pickup
• Salary: $3,300 + $1,100 Allowance + AWS + VB + Flexi Benefits, etc.

Job Responsibilities

• Lead a group of Production Technicians in the safe and smooth running of the production.
• Assist the Process Engineer to conduct activities and projects to optimize operation during Shift to achieve operational and cost efficiency.
• Troubleshoot plant/equipment/quality issues and recommend countermeasures.
• Monitor and ensure plant equipment integrity and reliability.
• Assist the Process Engineer to support Shift operation by providing suitable operating conditions for stable plant operation and product quality control.

Requirements

• Possess Degree in Chemical Engineering or its equivalent, experience in petroleum, chemical or polymer industries added advantage.
• Have knowledge of process control and troubleshooting, hands on knowledge of plant equipment and instrumentation.
• Essential prerequisites include good analytical and technical report writing skills, ability to be a team player with leadership, initiative, drive & commitment, able to take pressure and able to communicate well with others.

Interested candidates please apply online or send your latest CV to [email protected]

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

About Us:

We are a dynamic fintech company leveraging AI to predict market trends and deliver advanced trading technology. Our mission is to democratize access to top-tier trading tools, empowering retail investors to compete with professional traders.

Job Overview:

We are looking for a Data Engineer to join our team in Singapore. This individual will play a pivotal role in ensuring the integrity and quality of data that powers our machine-learning models. Responsibilities include data cleaning, processing, and organization, as well as implementing data governance practices to maintain data accuracy and compliance.

Key Responsibilities:

• Collect, clean, and process raw data from diverse sources for use in our predictive models.
• Develop and maintain databases, data systems, and data pipelines to ensure seamless data flow.
• Implement data validation processes to guarantee data accuracy and reliability.
• Collaborate with data scientists and machine learning engineers to understand data requirements and deliver high-quality datasets.
• Identify and execute data process improvements, such as automating manual tasks and optimizing data delivery.
• Establish and enforce data governance practices to ensure data quality, integrity, and compliance with regulatory standards.
• Implement and maintain robust security measures to protect data confidentiality.

Required Skills/Experience:

• Bachelor's degree in Computer Science, a related quantitative field (e.g., Mathematics, Statistics, Engineering), or equivalent practical experience.
• Extensive experience in data cleaning, preprocessing, and wrangling.
• Proficiency in SQL, Python, and Shell scripting.
• Familiarity with additional programming languages is an advantage.
• Experience managing large datasets and developing data pipelines.
• Strong analytical and problem-solving skills.
• Meticulous attention to detail.
• Excellent communication skills.

Preferred Skills/Experience:

• Experience in financial data analysis or working in a fintech environment.
• Understanding of machine learning concepts and processes.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
• Experience with relational databases and data lakes.
• Proficiency with Apache Airflow for workflow automation.
• Knowledge of data governance frameworks and best practices.

Perks and Benefits:

• Competitive salary.
• Opportunity to work with a team of experts in AI and finance.
• The chance to contribute to a rapidly growing fintech company.

If you are passionate about data and eager to join an innovative team at the forefront of fintech, we would love to hear from you.

We are seeking a highly organised, detail-oriented individual to join our team as a Financial Data Analyst. You will be responsible for reporting the Service financial data in our customer service solutions group. You will also be working closely with other relevant teams/stakeholders to support the forecasting/budgeting activities.

What you will be doing

• · Pull, consolidate and organise monthly financial reports (related to service costs) by extracting and defining relevant information
• · Support and co-ordinate with various stakeholders to prepare data/report for service repair cost forecasting/budgeting activities for analysis on a timely basis
• · Participate/support projects under strict timelines
• · Perform other duties as assigned.

What you should have

• Diploma in Business/Statistics/Mathematics/Accounting/Finance/Computing or any related field
• Minimum 1 year’s work experience with statistical reporting and data analytical skill
• Strong proficiency in Microsoft Excel, including experience with pivot tables lookup
• Microsoft PowerPoint

What will help you succeed

• Knowledge/experience in Microsoft Excel macros, Forecasting/ Planning tool.
• Attention to detail and ability to maintain data accuracy
• Possess a demonstrated sense of urgency with the ability to perform well under pressure
• Possess good communication with different stakeholders
• Pro-active team player who is able to perform tasks that requires meticulous attention to detail

At Sony, we strive to create a place for you to realise your potential and inspire you to make positive impact through innovation, smart collaboration and boundless curiosity. We are looking for people who believe that they can enrich lives and help us achieve our purpose – fill the world with emotion, through the power of creativity and technology.

Responsibilities:

• Coordinates with Information Manager to submit data related to Technical Queries (TQ), as well as to manage and maintain Master Tag List for various engineering disciplines in a project to comply with tagging requirements
• Ensures that all tagging requirements and association for engineering and supplier documentation/ drawing, checking requirements for data properties is appropriate to the ‘type of tag’
• Participates in discussion and meeting to understand client and internal project requirements for data collection, reporting and turnover, as well as to provide update and status on data turnover and final delivery/ handover
• Ensures tags associated to the documents are progressively built in the Client’s information management system master tag database, checking and verifying the quality of the imported tags and data attributes
• Coordinates with section lead to resolve inconsistent, missing, or incorrect tag and data information, and responsible for the maintenance of log for data issues and project resolution
• Creates data completion (progress) and quality reports in Client’s information management system as per project requirement, providing weekly report on progress, issues and other arising matter
• Participates in seminars and other educational opportunities to keep abreast of latest technologies and development in project management information system, recommending process improvement
• Monitors and analyses occurring and reccurring problems, developing trends to identify critical and common problems, justifying areas for further improvements
• Consolidates feedbacks from stakeholders, providing professional response to improve project information management system delivery processes, tools and service capabilities

Requirements:

• Diploma or Bachelor’s degree in Engineering or its equivalent
• 3 years of working experience in Engineering project (Piping or Instrument discipline
• Experience in data and document control management for FPSO/ FPU Project in onshore/offshore and Oil & Gas
• Familiar with project information management system related software (i.e. Aveva Engineering, Hexagon SDX or EDWS (SQL), and PIM (non SQL)
• Experience with data or document related software (i.e. PIM, iDocs, Project Tools, and able to assist in creating progress and quality reports in Clients' Information Management system
• Knowledge and experience in Data and Documentation for Operation (DFO)/ Vital Document & Data (VDD) activities for the project

Our Address and Working Hours:

(Tuas Boulevard Yard)

80 Tuas South Boulevard, Singapore 637051

(Islandwide transport provided)

Working hours

(All Yards)

Monday – Thursday: 8:00am – 5.15pm

Friday: 8:00am – 4.30pm

Interested candidates are invited to send us an updated resume with your current and expected salary and earliest availability.

We regret that only shortlisted candidates will be notified.

Please note that your personal data disclosed to Seatrium (SG) Pte. Ltd. and our group of companies, shall be used for the purposes of evaluation, and processing in accordance with our recruitment processes and policies. By providing your personal data, you have consented to the aforesaid purpose under the provisions of the Personal Data Protection Act 2012.

We are looking to appoint a full-time Project Officer at the School of Humanities in Nanyang Technological University (NTU).

The incumbent will join the Linguistics and Multilingual Studies (LMS) Department working on a project titled ‘Performance-interpretability Tradeoff in Discourse Research’ led by Professor Dennis Tay. The position is a fixed term post for 17 months.

About the Project

The performance-interpretability tradeoff (PIT) in data science and AI refers to the balance between how well a statistical/machine learning model performs, and how readily humans can comprehend it. This project investigates the nature and characteristics of PIT in discourse research, focusing on the following:

i) the (strategically) indeterminate nature of PIT

ii) PIT in time-based algorithms and discourses

iii) conceptual relationship(s) between PIT and ‘mixed-methods’ discourse research, with subsequent developments based on emergent findings.

Discourse datasets to be investigated include psychological counseling, social media, academic lectures, and other relevant time-based contexts, while time-based algorithms include LSTM, ARIMA time series, and survival regression models. The project also aims to design and develop relevant pedagogical resources aimed at students and the general public.

Key Responsibilities:

• Assist in sourcing and collecting language and discourse datasets across different domains
• Assist in pre-processing discourse data for analysis
• Assist in preparation of research output, pedagogical resources, and/or other project-related deliverables

Job Requirements:

• Good Bachelor’s degree in linguistics, language studies, data science, or related fields
• Strong verbal and written communication skills
• Working knowledge of Natural Language Processing and Python / R is an advantage

Interested applicants may apply with submission of the Curriculum Vitae.

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

Job Info:

• Salary : Basic up to $3000 + Transport Allowance $100 + AWS + VB
• Working Hours: Monday - Thursday: 8:30am to 6pm; Friday: 8:30am - 5:30pm
• Location: Geylang Bahru

Job Scope:

• Serve as the primary point of contact for customers, carriers, suppliers, and other stakeholders in day-to-day business operations
• Manage customer orders, including related documentation, and coordinate transport bookings with carriers based on specified routing and service levels
• Monitor the execution of transport activities
• Handle customer requests and address incidents or disruptions in the supply chain
• Assist in the on-boarding process for new suppliers
• Act as a backup for supervisors in case of their absence
• Facilitate the on-boarding, training, and guidance of new staff during their initial period
• Assist supervisors in updating and revising work instructions and provide feedback on best practices
• Continuously on-board and train suppliers on SOPs and system usage

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

*We regret to inform you that only shortlisted candidates would be notified*

We wish you all the best in your career search.

You are welcome to visit our website at http://www.rkgroup.sg/

RK Recruitment Pte Ltd | EA License No.: 20C0280

Chou Jia Hooi | EA Personnel No.: R23115147

Reporting to the Head, Business Planning & Integration, the candidate will be responsible for extracting, cleaning, and analysing data to provide valuable business insights. This role involves close collaboration with internal stakeholders to understand data needs, visualize data effectively, and where applicable, build interactive dashboards for ongoing analysis. The Data Analyst will play a crucial role in driving data-driven decision-making processes within English/Malay/Tamil Media Newsrooms.

Key responsibilities:

• Work with internal stakeholders to identify data needs and extract relevant data from various sources.

• Clean and preprocess data to ensure accuracy, completeness, and consistency for analysis.

• Analyse data using statistical methods to identify trends, patterns, and insights that are relevant to business objectives.

• Collaborate with team members to understand business challenges and provide data-driven solutions.

• Develop and implement data visualisation strategies to clearly communicate findings to stakeholders.

• Utilise data visualisation tools to create intuitive graphs, charts, and other visual representations of data.

• Design and build dashboards that provide real-time insights and support strategic decision-making.

• Ensure dashboards are user-friendly and meet the needs of various stakeholders.

Requirements:

• Bachelor’s Degree in Data Science, Statistics, Computer Science, or a related field.

• Proven experience as a Data Analyst or in a similar role, with a strong portfolio of projects demonstrating the ability to extract, clean, and analyse data.

• Experience in working with internal stakeholders to understand and fulfil data analysis needs.

• Hands-on experience in visualising data and building dashboards.

• Proficiency in SQL for data extraction and manipulation.

• Knowledge of statistical programming languages such as R or Python.

• Experience with data visualisation tools (e.g., Tableau, Power BI).

• Familiarity with dashboard development tools and techniques.

• Excellent verbal and written communication skills, with the ability to present complex data in a clear and concise manner to non-technical stakeholders.

• Strong collaboration skills, with an ability to work effectively in a team and with stakeholders from different functional areas.

• Creative problem-solving abilities, with an aptitude for identifying and addressing business challenges through data analysis.

Reporting to the Head, Business Planning & Integration, the candidate will be responsible for extracting, cleaning, and analysing data to provide valuable business insights. This role involves close collaboration with internal stakeholders to understand data needs, visualize data effectively, and where applicable, build interactive dashboards for ongoing analysis. The Data Analyst will play a crucial role in driving data-driven decision-making processes within English/Malay/Tamil Media Newsrooms.

Key responsibilities:

• Work with internal stakeholders to identify data needs and extract relevant data from various sources.

• Clean and preprocess data to ensure accuracy, completeness, and consistency for analysis.

• Analyse data using statistical methods to identify trends, patterns, and insights that are relevant to business objectives.

• Collaborate with team members to understand business challenges and provide data-driven solutions.

• Develop and implement data visualisation strategies to clearly communicate findings to stakeholders.

• Utilise data visualisation tools to create intuitive graphs, charts, and other visual representations of data.

• Design and build dashboards that provide real-time insights and support strategic decision-making.

• Ensure dashboards are user-friendly and meet the needs of various stakeholders.

Requirements:

• Bachelor’s Degree in Data Science, Statistics, Computer Science, or a related field.

• Proven experience as a Data Analyst or in a similar role, with a strong portfolio of projects demonstrating the ability to extract, clean, and analyse data.

• Experience in working with internal stakeholders to understand and fulfil data analysis needs.

• Hands-on experience in visualising data and building dashboards.

• Proficiency in SQL for data extraction and manipulation.

• Knowledge of statistical programming languages such as R or Python.

• Experience with data visualisation tools (e.g., Tableau, Power BI).

• Familiarity with dashboard development tools and techniques.

• Excellent verbal and written communication skills, with the ability to present complex data in a clear and concise manner to non-technical stakeholders.

• Strong collaboration skills, with an ability to work effectively in a team and with stakeholders from different functional areas.

• Creative problem-solving abilities, with an aptitude for identifying and addressing business challenges through data analysis.

• Entry Level
• Degree holder majoring in Electrical Power Engineering
• Salary $3,300 + $280 Fixed Allowance + AWS + VB
• Location: Jurong Island (company transport provided)

The Role: As a Maintenance Engineer (Electrical), you will play a critical role in maintaining our state-of-the-art manufacturing plants. Working closely with the Maintenance Manager, you will ensure the continuous, safe, and efficient operation of plant facilities.

Key Responsibilities:

• Oversee maintenance and instrumentation activities for manufacturing plant facilities, ensuring operations run safely and smoothly.
• Coordinate and execute major field maintenance tasks, prioritizing worker safety and facility integrity.
• Collaborate with internal and external stakeholders to ensure maintenance activities are completed on schedule, minimizing disruption to plant operations.
• Conduct instrumentation application studies and modify plant facilities in line with technical specifications and business requirements.
• Organize and conduct training sessions for staff and contractors to enhance skills and competency levels.
• Implement and manage systems in compliance with ISO 9001, ISO 14001, and SS506 standards.

Qualifications:

• Bachelor’s Degree majoring in Electrical Power Engineering with good grades
• Capable in power calculation
• Basic knowledge of programmable logic controllers (PLC) and human-machine interfaces (HMI) is an advantage.

Interested candidates please apply online or send your latest CV to [email protected]

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

• Produce monthly related Key Performance Indicator (KPI) reports to monitor and manage Procurement’s performance.
• Generate required reporting for as and when required.
• Perform checks on casino related purchase orders for wrong classification or errors.
• Work with internal users to ensure timely and accurate reporting, adhering to the Gambling Regulatory Authority regulations.
• Provide guidance to users on Gambling Regulatory Authority regulations and related processes.
• Prepare monthly reporting submission to Gambling Regulatory Authority.
• Manage and work with internal and external users on other master data set-up and accuracy.
• Conduct internal audit checks on Procurement systems and processes to ensure company’s policies and procedures are adhered to accordingly.
• Undertake any other tasks assigned from time to time as maybe required in his/her role

Requirements

• Diploma holder and above.
• Proactive and able to work under tight schedule.
• Meticulous and able to work independently.
• Good interpersonal and communication skill.
• Logical thinking, curiosity and strong analysis abilities.
• Strong awareness of quality, reliability and responsibility.
• Familiar in data analytics and digital tools such as Excel (VBA), Tableau, RPA(Uipath) will be added advantage.

• Assist in answering phone calls and emails
• Attend to customer enquiry, provide quotation and follow up with customer on PO.
• Issuing of Delivery Orders.
• Issuing Job Orders to production department.
• Arrange goods to be delivered to customers and ensure documents are signed and update in system.
• Data entry, general administrative duties.
• No experience needed, training will be provided.

We are seeking a highly skilled and motivated Azure Cloud Data Engineer to join our team. The ideal candidate will have extensive experience in designing, building, and maintaining cloud-based data solutions utilising Azure cloud technologies. The Data Engineer will be responsible for designing and implementing data pipelines, ensuring data accuracy and quality, performing data modelling, and collaborating with cross-functional teams to deliver scalable and reliable solutions.

Job Descriptions:

• Design and implement data pipelines to extract, transform, and load data from various sources into Azure cloud-based data warehouses and data lakes.
• Develop and maintain data integration workflows using Azure Data Factory, Azure Databricks, Azure Stream Analytics, and other Azure services.
• Implement data quality checks and monitor data pipelines for accuracy and completeness.
• Perform data modelling to support business requirements and ensure scalability and performance of data solutions.
• Collaborate with cross-functional teams to understand business requirements and develop data solutions that meet their needs.
• Optimise data storage and processing for performance and cost-effectiveness.
• Maintain documentation of data pipelines, data sources, and data models.
• Stay up to date with industry trends and new Azure cloud-based data technologies to continuously improve data engineering processes and solutions.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• At least 1-2 years of experience in designing and building cloud-based data solutions using Azure cloud technologies.
• Experience with Azure Data Factory, Azure Databricks, Azure Data Warehouses, and Azure Synapse.
• Strong knowledge of SQL and NoSQL databases.
• Experience in data modelling and data architecture.
• Strong analytical, problem-solving, and communication skills.
• Experience with agile software development methodologies.

Experience with other cloud platforms such as AWS or Google Cloud Platform is a plus.

If you meet the above requirements and are passionate about working with cutting-edge technologies to solve complex data challenges, please submit your resume for consideration. We offer a competitive salary, a comprehensive benefits package, and a dynamic work environment.

• Support Master Data setup in TIS SAP implementation for Production related matters and support the Master data lead in GSAP project
• Assist all Master Data Management related activities for production in the GSAP project organization and towards the affiliates in scope of the GSAP implementation
• On a project basis, render support to a stream and will report into the Module Coordinator for the Stream, with a line to the MDM Global Lead
• Assist in execution and implementation of SAP master data set-up between TIS and it affiliates
• Coordinate with internal stakeholders such as operations and supply chain team to align the SAP master data
• Responsible in master data issues for immediate investigation and resolution

Requirements:

• 2 years of relevant working experience in Master Data Management
• Strong knowledge and understand the Company business requirements
• Understand the Company GLOBAL ERP processes and link to MD objects and fields
• Strong analytical and interpersonal skills
• Prior experience in ERP / SAP skills will be added value
• A team player with good interpersonal skills

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Core Technology Infrastructure:

• Believes diversity makes us stronger so we can reflect, connect, and meet the diverse needs of our clients and employees around the world.
• Is committed to building a workplace where every employee is welcomed and given the support and resources to perform their jobs successfully.
• Wants to be a great place for people to work and strives to create an environment where all employees have the opportunity to achieve their goals.
• Provides continuous training and development opportunities to help employees achieve their career goals, whatever their background or experience.
• Is committed to advancing our tools, technology, and ways of working to better serve our clients and their evolving business needs.
• Believes in responsible growth and is dedicated to supporting our communities by connecting them to the lending, investing, and giving them what they need to remain vibrant and vital.

Job Description:

APAC Network Services “Internal Networks” team is responsible for end-to-end engineering and deployment of network infrastructure services within Bank of America.

The candidate will lead data networks engineering & deployment projects focused on modernizing networks, Line of Business requirements, Sustained Engineering Efforts, Life Cycle Management, and Vulnerability management.

Subject matter expert in Data Networking technologies and provide leadership & strategic/tactical direction related to the successful deployment network projects.

Responsibilities:

• Subject matter experts in Network Services technologies and provide strategic/tactical direction related to the successful deployment network projects.
• Responsible for hands-on implementation, engineering, and deployment of new services into production.
• Work with support teams, lines of business and 3rd parties that BofA connect to in order to build end-to-end solutions that balance business, security, availability and resiliency requirements.
• Eliciting, analyzing, and documenting technical application and service requirements.
• Maintain designs patterns and provide feedback into architectural standards.
• Active participation in the change management process.
• Manage stakeholder requirements across projects and ad-hoc consulting.
• 3rd level escalation for troubleshooting issues on the production network.
• Identifying and managing the mitigation of risks within the environment.
• Ensuring documentation is updated to reflect new additions to or modifications in the environment and handed into Operations successfully.
• Collaborate with global engineering domain leads and operations teams from service design through operations transition process for new services.
• Support activities related to Audit, Compliance Reviews & Regulatory Exams.
• Review of all capacity metrics to ensure availability of all services.
• Facilitate meetings among all stakeholders/ vendors regularly and produce status update reports periodically.

Required Skills:

• Minimum of 10+ years with hands-on experience in Data Engineering & Deployment team preferably in the banking and finance industry.
• Strong knowledge and experience in engineering and deployment of network solutions including Routing and Switching (Cisco/Arista), Wireless (Cisco, Aruba), Micro segmentation (ISE/Clearpass).
• Strong Knowledge in software defined networks, SD-WAN, SD-Access, Cisco-ACI/Arista VXLAN, CVP, Orchestration and Automation (Ansible, Python, YAML).
• Strong knowledge of networking communication principles, network standards, and network security practices.
• Strong Working Knowledge of Market Data delivery networks using both TCP and UDP multicast with an ability to comprehensively troubleshoot through these networks.
• Experience in network analytics through packet capture (Sniffer) analysis and end system diagnostics (Netscout).
• Strong knowledge in VPN technologies, Tunneling protocols – SSL/TLS, IPSec, GRE, MACSEC etc.
• Strong understanding of QoS policies, principles, and best practices.
• In-depth knowledge on common routing protocols and WAN technologies including but not limited to BGP, EIGRP, OSPF, ISIS, Multicast, and MPLS/VPLS.
• Expertise in creating Application and network diagrams including all pertinent flows and decisions.
• Capability to summarize complex issues into executive summaries.
• Communicate with business partners at an enterprise level, interfacing with internal business representatives and information security partners.
• Understanding in Automation (Python, Ansible, YAML, REST API, XML and JSON).
• Strong analytical skills with ability to identify gaps, challenge others with positive intent, and drive debate towards identification and remediation of underlying risks.
• ITIL processes knowledge: Change Management, Incident Management, Request Management, and Problem Management

Desired Skills:

• Proven leadership experience, ability to motivate and drive execution, with performance driven with the necessary intensity and optimism to succeed and deliver.
• Possesses strong analytical skills and root cause investigation techniques with a desire to expand horizon to next-gen products, applications, and technology.
• Familiar with product deployments within a global banking environment.
• Knowledge of regulatory risk management in Technology and Information Security domains.
• Willing to work some irregular hours based on the needs of global operating model and the location of clients.
• At least one professional level certification in Network Security or Networks such as CCIE or CCNP (R&S, DC, and SP), CISSP, Arista ACE etc is desirable.
• Educated to degree level in IT/Engineering field.

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Core Technology Infrastructure:

• Believes diversity makes us stronger so we can reflect, connect, and meet the diverse needs of our clients and employees around the world.
• Is committed to building a workplace where every employee is welcomed and given the support and resources to perform their jobs successfully.
• Wants to be a great place for people to work and strives to create an environment where all employees have the opportunity to achieve their goals.
• Provides continuous training and development opportunities to help employees achieve their career goals, whatever their background or experience.
• Is committed to advancing our tools, technology, and ways of working to better serve our clients and their evolving business needs.
• Believes in responsible growth and is dedicated to supporting our communities by connecting them to the lending, investing, and giving them what they need to remain vibrant and vital.

Job Description:

APAC Network Services “Internal Networks” team is responsible for end-to-end engineering and deployment of network infrastructure services within Bank of America.

The candidate will lead data networks engineering & deployment projects focused on modernizing networks, Line of Business requirements, Sustained Engineering Efforts, Life Cycle Management, and Vulnerability management.

Subject matter expert in Data Networking technologies and provide leadership & strategic/tactical direction related to the successful deployment network projects.

Responsibilities:

• Subject matter experts in Network Services technologies and provide strategic/tactical direction related to the successful deployment network projects.
• Responsible for hands-on implementation, engineering, and deployment of new services into production.
• Work with support teams, lines of business and 3rd parties that BofA connect to in order to build end-to-end solutions that balance business, security, availability and resiliency requirements.
• Eliciting, analyzing, and documenting technical application and service requirements.
• Maintain designs patterns and provide feedback into architectural standards.
• Active participation in the change management process.
• Manage stakeholder requirements across projects and ad-hoc consulting.
• 3rd level escalation for troubleshooting issues on the production network.
• Identifying and managing the mitigation of risks within the environment.
• Ensuring documentation is updated to reflect new additions to or modifications in the environment and handed into Operations successfully.
• Collaborate with global engineering domain leads and operations teams from service design through operations transition process for new services.
• Support activities related to Audit, Compliance Reviews & Regulatory Exams.
• Review of all capacity metrics to ensure availability of all services.
• Facilitate meetings among all stakeholders/ vendors regularly and produce status update reports periodically.

Required Skills:

• Minimum of 10+ years with hands-on experience in Data Engineering & Deployment team preferably in the banking and finance industry.
• Strong knowledge and experience in engineering and deployment of network solutions including Routing and Switching (Cisco/Arista), Wireless (Cisco, Aruba), Micro segmentation (ISE/Clearpass).
• Strong Knowledge in software defined networks, SD-WAN, SD-Access, Cisco-ACI/Arista VXLAN, CVP, Orchestration and Automation (Ansible, Python, YAML).
• Strong knowledge of networking communication principles, network standards, and network security practices.
• Strong Working Knowledge of Market Data delivery networks using both TCP and UDP multicast with an ability to comprehensively troubleshoot through these networks.
• Experience in network analytics through packet capture (Sniffer) analysis and end system diagnostics (Netscout).
• Strong knowledge in VPN technologies, Tunneling protocols – SSL/TLS, IPSec, GRE, MACSEC etc.
• Strong understanding of QoS policies, principles, and best practices.
• In-depth knowledge on common routing protocols and WAN technologies including but not limited to BGP, EIGRP, OSPF, ISIS, Multicast, and MPLS/VPLS.
• Expertise in creating Application and network diagrams including all pertinent flows and decisions.
• Capability to summarize complex issues into executive summaries.
• Communicate with business partners at an enterprise level, interfacing with internal business representatives and information security partners.
• Understanding in Automation (Python, Ansible, YAML, REST API, XML and JSON).
• Strong analytical skills with ability to identify gaps, challenge others with positive intent, and drive debate towards identification and remediation of underlying risks.
• ITIL processes knowledge: Change Management, Incident Management, Request Management, and Problem Management

Desired Skills:

• Proven leadership experience, ability to motivate and drive execution, with performance driven with the necessary intensity and optimism to succeed and deliver.
• Possesses strong analytical skills and root cause investigation techniques with a desire to expand horizon to next-gen products, applications, and technology.
• Familiar with product deployments within a global banking environment.
• Knowledge of regulatory risk management in Technology and Information Security domains.
• Willing to work some irregular hours based on the needs of global operating model and the location of clients.
• At least one professional level certification in Network Security or Networks such as CCIE or CCNP (R&S, DC, and SP), CISSP, Arista ACE etc is desirable.
• Educated to degree level in IT/Engineering field.

Mackay Marine is a global marine electronics service and satellite communications company with more than 460 employees spread across 45 service locations (depots) in seventeen (17) countries, including the Americas, Europe, and Asia. For over fifty (50) years Mackay has sold, installed, and serviced navigation and communication equipment onboard commercial and naval ships. Mackay offers competitive salaries, benefits, and opportunities for growth based on merit.

Mackay is currently seeking an experienced and local Inventory Control Clerk, to join our Singapore location.

INVENTORY CONTROL CLERK JOB SUMMARY:

The Inventory Control Clerk is responsible for responding to inventory requests, ordering materials for multiple offices, performing depot-to-depot transfers, applying freight costs for billing, and providing pricing for service quotes. As well as maintaining established stock levels, requesting RMAs from vendors for returns, handling warranty claims and/or exchanges, and assisting with cycle counts. The Inventory Control Clerk will stage spare parts for service jobs, check parts out to technicians, and confirm that all parts are either returned or posted to a work order.

Responsibilities:

• Always follows Mackay’s policies and procedures.
• Audits shipments and receipts daily. Updates internal logs, and files related paperwork.
• Maintains an adequate supply of shipping materials.
• Processes orders of materials for the service department as well as for sales.
• Respond to RFQ’s from the service department, and via email, fax, telephone, and website as requested.
• Keeps an accurate control of materials used, track freight costs, and applies to customer invoices.
• Requests RMAs from vendors for returns, warranty claims, and/or exchange parts.
• Ensures the accuracy of orders received; validates quantity, verifies part numbers, and serial numbers against shipping documents and company purchase order.
• Label and maintain inventory in accordance with established procedures.
• Daily control of ‘Kits’ checked out to and back in from MSE’s. Record parts used from service kits, restock parts returned, and maintain inventory levels in accordance with department policy.
• Responding to and monitoring email.
• Other tasks as assigned by supervisor.

The ideal candidate will be punctual, reliable, self-motivated, and have the proven ability to work independently in a faced-paced environment.

QUALIFICATIONS:

• Valid Singapore Driver’s License
• 3+ years of inventory and/or stockroom experience.
• Strong proficiency with MS Office applications, especially Excel.
• Excellent verbal and written communication and interpersonal skills.
• The ability to interpret and solve problems and issues, using instructions, diagrams, or schedule forms.
• Lift up to 20-25 kilos.

Mackay Marine, is a Fair and Equal Employment Employer who recruits employees based on merit criteria (skills and experience), regardless of age, race, gender, religion, marital status or disability; by providing to all employees fair growth opportunities, as well as training based on their needs and rewards based on their performance and contribution.

Key Responsibilities:

• Oversee the implementation of data analytics strategy for a client organisation, and provide team leadership as well as guidance and coaching to a Data & AI delivery squad.
• Client-facing interaction including providing analyses, recommendations, presentations and advice to clients.
• Lead interdisciplinary teams that combine technical, business and data science competencies to deliver work in both waterfall or agile software development lifecycle methodologies.
• Oversee team management including budgets, forecasting, work allocations and staffing.
• Demonstrate an acute ability in project risks and issue management, and provide guidance on key project and design decisions in project steering committee meetings.
• Build a team of high performing, motivated and committed data analytics professionals as part of practice-building and centre management leadership role.

Requirement:

• Minimum of Bachelor's Degree required in related field; strong preference for fields of study in the engineering, computer science, statistics or analytics
• More than 10 years of experience leading an Analytics consulting team OR experience with leading one or more MNCs through the journey to becoming a data-driven organization. OR
• More than 10 years of experience implementing a broad range of Analytics/Business Intelligence projects such as: Data Governance and Management, visualizing KPIs on business dashboards, applying advanced analytics/data science techniques to realize business values
• The right candidate will need to have hands-on experience with one or more of the following Analytics technology stacks as well as familiarity with a broad range of solutions for visualization, advanced analytics, data ingestion/transformation, storage and hosting and willingness to learn new ones on the job.
• Data Management & Storage: Talend, Denodo, Alation, Oracle Data Warehousing, IBM InfoSphere, Microsoft SQL Server, Hortonworks Data Platform, Cloudera, MinIO
• Data Visualisation: Qlik, Neo4j, Tableau, Microsoft PowerBI, Oracle Business Intelligence Enterprise, IBM Cognos, MicroStrategy, SAS etc
• Statistical/Data Science Tools: H2O.ai, Dataiku, SPSS, R, Python, Jupyter
• Project management certifications such as PMP, Agile, ITIL.
• Proven track record in program management around integration, scope, cost, time, resource, quality, risk, procurement, communication and stakeholder management.

Key Responsibilities:

• Oversee the implementation of data analytics strategy for a client organisation, and provide team leadership as well as guidance and coaching to a Data & AI delivery squad.
• Client-facing interaction including providing analyses, recommendations, presentations and advice to clients.
• Lead interdisciplinary teams that combine technical, business and data science competencies to deliver work in both waterfall or agile software development lifecycle methodologies.
• Oversee team management including budgets, forecasting, work allocations and staffing.
• Demonstrate an acute ability in project risks and issue management, and provide guidance on key project and design decisions in project steering committee meetings.
• Build a team of high performing, motivated and committed data analytics professionals as part of practice-building and centre management leadership role.

Requirement:

• Minimum of Bachelor's Degree required in related field; strong preference for fields of study in the engineering, computer science, statistics or analytics
• More than 10 years of experience leading an Analytics consulting team OR experience with leading one or more MNCs through the journey to becoming a data-driven organization. OR
• More than 10 years of experience implementing a broad range of Analytics/Business Intelligence projects such as: Data Governance and Management, visualizing KPIs on business dashboards, applying advanced analytics/data science techniques to realize business values
• The right candidate will need to have hands-on experience with one or more of the following Analytics technology stacks as well as familiarity with a broad range of solutions for visualization, advanced analytics, data ingestion/transformation, storage and hosting and willingness to learn new ones on the job.
• Data Management & Storage: Talend, Denodo, Alation, Oracle Data Warehousing, IBM InfoSphere, Microsoft SQL Server, Hortonworks Data Platform, Cloudera, MinIO
• Data Visualisation: Qlik, Neo4j, Tableau, Microsoft PowerBI, Oracle Business Intelligence Enterprise, IBM Cognos, MicroStrategy, SAS etc
• Statistical/Data Science Tools: H2O.ai, Dataiku, SPSS, R, Python, Jupyter
• Project management certifications such as PMP, Agile, ITIL.
• Proven track record in program management around integration, scope, cost, time, resource, quality, risk, procurement, communication and stakeholder management.

The company is a high-tech manufacturer of contact lens solutions, sterile pharmaceutical solutions, first-aid eye and wound irrigations as well as eye comfort drops.

Responsibilities:

• Inspects incoming raw materials for compliance with current standards.
• Conducts periodic test analysis on products undergoing stability studies.
• Inspects incoming packaging materials for compliance with current standards.
• Performs microbiological testing and environmental monitoring according to SOPs.
• Prepares test solutions, compounds, or reagents for laboratory use.
• Assists Chemist, Lab Supervisor, and Micro Supervisor in maintaining company quality manuals related to operating procedures.
• Assists in GMP audits, validation, qualification, and change control.
• Assist in maintaining QC-related files.

Requirements:

• Min Diploma in Chemistry, Chemical Process Technology, Pharm, Biotechnology, Quality Assurance or any other science-related
• Entry level are welcome, training provided
• Open to shift work

How to Apply:

Interested candidates, please submit your updated resume by using Apply Now button

**We regret to inform that only shortlisted candidates will be informed.**

Tan Zhi Ning

Registration Number: R23116771

EA License No: 18C9027

Responsibilities:

• Prepare and compile registration documents according to country-specific guidelines.
• Consolidate raw data, reference information, and technical specifications.
• Assist in preparing GMP-related requirements.
• Coordinate with various departments and customers to gather registration requirements.
• Liaise with relevant authorities (NEA, SCDF, SPF, HSA and MOM) on licensing, compliance and other legislative matters.
• Evaluate new products if license is required according to local regulations.
• Prepare Safety Data Sheet (SDS) and GHS labels in accordance to Globally Harmonized System (GHS) standards.
• Manage registration sample requests, receipts and dispatch by proper recording and monitoring and storage.

Requirements:

• Min NITEC / Diploma in Applied Chemistry, Biomedical Science, Biotechnology or any other science-related course
• Experience in lab testing is an advantage, but entry-level are welcome too (training provided)
• Posses good analytical skills, meticulous & organised

How to Apply:

Interested candidates, please submit your updated resume by using Apply Now button

**We regret to inform that only shortlisted candidates will be informed.**

Tan Zhi Ning

Registration Number: R23116771

EA License No: 18C9027

Location: Maxwell

Duration: up to 1 year contract

Salary: up to $18 per hour

Responsibilities:

• Automation with UiPath: Create scripts for tasks like system logins and report extraction.
• Data Operations: Perform automated checks on Excel files to resolve data inconsistencies.
• Stakeholder Engagement: Understand requirements and develop tailored solutions using Python, UiPath, and workflow systems.
• Data Cleansing: Develop Python scripts to cleanse data and integrate with Tableau for visualization.
• Support and Troubleshooting: Ensure smooth execution and debugging of automation scripts.

Requirements:

• Bachelor's Degree in Data Analytics or relevant disciplines.
• Proficiency in UiPath for Creating Automation Scripts.
• Proficient in Python Scripting for Data Cleansing and Automation Task.
• Familiarity with Tableau or PowerBI is an added advantage.
• Singaporeans only

Interested candidates may apply via email to [email protected] (indicating Job ID J46623for faster processing). All job applications will be processed with strict confidence and only shortlisted candidates will be contacted.

Joanne Chong Hui Qi – Outsourcing Team
ScienTec Consulting Pte Ltd – 11C5781

JOB SCOPE :

Business Engagement & Collaboration

• Data & KPI logic owner for customer and marketing related data and KPIs within data lake and refinement layer based on Salesforce & other CRM, Salesforce Marketing Cloud, Google Analytics, Website traffic, Media performance Tools
• demand process management and data onboarding of customer and marketing related data into Overseas datalake (eXtollo/SHIELD)
• Collaboration and logic alignment across stakeholders (HQ, Region, Markets), synchronization of regional and market level data processes in connection to data onboarding and KPI adaptations
• Understanding and continuous improvements on marketing & customer data landscape
• Work on the Lead Standardization across the region to update to the latest setups from the markets and according to the guidelines from HQ.
• Sparring partner for region, markets, HQ and other key stakeholders to train them on KPI logic, data understanding and steering business with these KPIs
• Connecting teams and initiatives between data activation/reporting team, data stewards, IT, process managers and product owners
• Align all stakeholders from regional marketing, markets, process owners, system owners, reporting team and IT to ensure that business requirements are adequately
• gathered, defined, documented and communicated
• Collaborating with architect, engineers, and organizational leaders to identify opportunities for data improvements, recommend process and system enhancements
• Ensure fulfilment of market- as well as regional business requirements (quality, timeline and budget) by translating the user stories into deliverable tasks

Data availability & KPI development

• Ensure with technical owners of SHIELD and refinement layer (UDM) a consistent data flow and data availability (e,g, in time, accurate, consistent)
• Standardized KPI logic development for customer and marketing related KPIs in close collaboration with process managers & business owners
• Ensuring KPI availability for the Region Overseas Reporting Suite (HeliOS) and local data products
• Ensuring that new or changed data points are known to relevant user group and reflected in KPIs and reporting
• Evaluation and improvement on existing products (e.g. UDM, marketing KPIs, customer KPIs, HeliOS)
• Ensure that all requirements and deliverables are scalable and reusable across all markets in region Overseas

JOB REQUIREMENTS:

• Business or IT education qualification
• 3+ years’ relevant experience in working with customer & marketing related data e.g. from Salesforce or similar CRM systems, Google, etc
• Minimum 3 years of work experience with data touchpoints in agile environments
• Basic understanding of marketing KPIs and terminology
• Strong analysis and troubleshooting skills (i.e. bug fixing and L3 support)
• Experience in SQL, Python and R for data analytics (expert), working within agile development process & systems like Jira, Confluence, Asana and others
• Working experience with Microsoft Azure and Databricks or similar
• Understanding of data modelling concepts like entity-relationship models
• Strong communication skills written and verbal
• Capability to translate and abstract IT solutions into business terminology to connect both worlds and stakeholder groups

This is a 3 years' contact position based in Singapore. We regret to inform you that only shortlisted candidates will be notified.

Mandatory Skills

• Possess a degree in Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 3 years of relevant experience in data management, data analytics, data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiarity with data virtualization tool such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution, and perform code review.
• Excellent written and verbal communication skills.
• Strong interpersonal skill and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem solving.
• Experience with the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.

Skillsets (Good to have)

Brief Job Description

• Support Central Data Service Layer (CDSL) project

Responsibilities:

• Work closely with business (research analysts, quantitative strategist, end-users, etc.), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle e.g. data onboarding, data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Mandatory Skills

• Possess a degree in Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 3 years of relevant experience in data management, data analytics, data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiarity with data virtualization tool such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution, and perform code review.
• Excellent written and verbal communication skills.
• Strong interpersonal skill and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem solving.
• Experience with the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.

Skillsets (Good to have)

Brief Job Description

• Support Central Data Service Layer (CDSL) project

Responsibilities:

• Work closely with business (research analysts, quantitative strategist, end-users, etc.), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle e.g. data onboarding, data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Senior Data Engineer In this role, you can expect to: ● Support the business’s goal of democratisation of data and data products. ● Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting. ● Collaborate in partnership with diverse teams across organization such as product engineering, data science and business stakeholder teams to successfully deliverbusiness outcomes. ● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads. ● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and organization publications to deliver innovative and game changing data products and use cases. ● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases. ● Implement cloud-based scalable and reliable data pipelines at significant scale. ● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes. You should be able to: ● Build and maintain streaming and batch data pipelines. ● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts. ● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs. ● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products. ● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg. ● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports. ● Adhere and have practised Agile Methodology such as Scrum. ● Implement adhering to Master Data Management Best Practices and Principles. ● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling. It would be great if you had: ● At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles. ● Experience in data-related infrastructure deployments using Terraform Cloud. ● Experience in using Git for version and release management with knowledge in branching strategies. ● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight. ● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight. ● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts. ● Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders.