The Opportunity:

• Permanent Role
• Working Location: East
• Work hours: Mon to Fri 8:30am - 5:30pm (minimal OT)
• $4500 - $5500 Basic + Moblie Claim + Transport Claim + Bonus

Adecco is partnering with a APAC Leader in Data Center more than 60 years presence in the regions.
Candidate can expect the working culture with open communication and team work dynamics.

The Job:

• Daily Service Operations: Manage cross-connects, remote hand support, and service reporting while ensuring efficient issue tracking and resolution.
• Customer Project Support: Oversee co-location delivery, vendor installations, cabinet placement, and customer site visits for seamless project execution.
• Fault Resolution: Provide effective second-line support and escalate issues as needed to ensure timely resolution of data center faults.
• Leadership & Process Improvement: Lead outsourced operations teams, optimize workflows, and enhance service delivery to improve turnaround times and customer satisfaction.
• Performance Reporting: Deliver timely and accurate management reports on data center performance and operations.

The Talent:

• Diploma/Degree in engineering/facility/operation or technical discipline
• 3-5 years professional working experience in Data Center Service Operation & Facility Management
• Only Singaporeans.

Next Step:

• Interested applicants, please send your resume to [email protected] with your current and expected salary.
• All shortlisted candidates will be contacted.

About the company

CGS International Securities Pte. Ltd. (CGS International) is an award-winning and market leading integrated financial services provider, ranked among the top securities houses in Asia.

CGS International taps on our wealth of global and ASEAN insights to offer equities trading, leveraged products, wealth management, investment banking, equities research, Shariah-compliant financing, fixed income, currency and commodities, structured products and prime brokerage services in over 15 countries and regions.

Along with its parent organisation China Galaxy Securities, a leading securities house in China, CGS International is trusted by more than 15 million customers globally.

Job Description

1) Process Support:

- Keep up to date with latest procedures, forms and templates

- Assist to raise requests, complete forms, obtain approvals, etc. as required by process

- Track timeline and actions according to plan

- Coordinate and follow up to meet timelines

- Organize and file documents

2) Department Asset Inventory Management:

- Document purchases

- Regularly report expiries in advance and expenses against budget

3) Department Budget Record:

- Populate budget items

- Document submitted and approved budget

- Document allocation method and allocation

4) Department Initiative/Program/Project Tracking:

- Document all initiatives, programs, projects

- Record status in regular department meetings

5) Department Visitor Management:

- Manage access and refreshment if required

- Receive and bring visitors to meeting area

6) Department Communication Management:

- Regularly check department mailboxes, emails, tickets to ensure timely response

- Coordinate and schedule department meetings

- Manage and distribute Work From Home/Office schedule

7) Department Reporting:

- Assist in compiling committee and board reports

- Note and remind presenters of reporting schedules

8) Process Improvement:

Constantly look to enhance current process with better tools or methods

Job Requirement

• Proficiency in MS Office (Word, Excel, PowerPoint) and other office software
• Strong written and verbal communication skills
• Good time management and prioritization skills
• Preferably has experience working with cross-geographical teams
• Proven experience as an administrative assistant or similar role
• Diploma or equivalent
• Proactive
• Keen to learn
• Has an eye for detail
• Willing to share and collaborate

[Order Number: 830450]

Mon-Fri, 9:00 - 18:00

Hybrid Working Arrangement

Familiar with Data security/Data protection

Responsibilities

• To conduct compliance check for functions involving Post-IA, Job Placement, Job Retention and offload checks to ensure that all procedures are complied
• To conduct historical data and referral report compliance check
• To maintain and submit Quality Assurance Reports
• Creating and updating Standard Operating Procedures.
• Involved in Committee Meetings with external partners, comfortable in taking minutes.
• To review established work procedures (workflow) with the aim to improve overall processes.
• Assist in system updating of client’s records.
• Involved in ad-hoc projects/task assigned by superior

Requirements

• Candidate must possess at least a Diploma
• Candidate must have at least 2 years of experience in data auditing & data compliance

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities

Please kindly refer to the Privacy Policy of Good Job Creations for your reference:

https://goodjobcreations.com.sg/en/privacy-policy/

EA Personnel Name: Lim Lai Xin

EA Personnel Reg. no.: R2197913

EA License no.: 07C5771

Your new company

This is a multinational IT services firm.

Your new role

• Develop strategies and actionable insights while working with regional and multinational customers with businesses spanning across Asia Pacific (APAC) markets.
• Help create forward-thinking and data-driven points of views, narratives, and business pitches to support client/partner business. Help clients/partners understand and reach their consumers using industry, marketing, and/or third-party research.
• Ability to influence an audience by crafting points of views (POVs) using data that elicits empathy or creates buy-in, and partner with, orchestrate, lead, and influence clients, partners, and/or service providers as a trusted advisor.
  

What you'll need to succeed

• Bachelor's degree or equivalent practical experience.
• Ability to manage large and complex data sets with analytical mindset and knowledge across all value chains of data (e.g., pull strategic insights, extract and clean data).
• 5 years of experience in retail, Consumer Packaged Goods, banking, technology/startups, or consulting.

What you'll get in return

• Ability to manage large and complex data sets with analytical mindset and knowledge across all value chains of data (e.g., pull strategic insights, extract and clean data).
• 4-5 years of experience using SQL
• Excellent communication and stakeholder management skills.

What you need to do now

If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call Shabnam at Hays on +65 60271964 or email [email protected] for a confidential discussion.

Referrals are welcome.

Registration ID No. R1873584 | EA License number: 07C3924 | Company Registration No. 200609504D

Data Governance Analyst
Regional Financial Crime Division – APAC Data Governance
MUFG Bank, Ltd

MUFG is seeking a Data Governance Analyst to support the Global Financial Crimes Data Governance program. This role will be instrumental in operationalizing Data Quality Monitoring (DQM) initiatives, improving existing processes, and supporting the strategy and objectives set by the Global Financial Crime Division in Tokyo. The successful candidate will work within the Regional Data Governance team in Singapore to ensure data quality and governance standards are met across the Asia region.

Job Responsibilities:

Governance

• Perform Data Governance BAU activities applicable for the APAC region.
• Review and maintenance of DG Policies & Procedures and Manual.
• Organize Regional and branch working groups, prepare material, and socialize.
• Coordinate and guide FCC teams to right project artifact and teams.
• Document and track action items arising out of from regional and global forums.
• Implement & execute tasks related to Data Governance controls such as Change Management, Periodic Assessments, Data Quality Monitoring, prepare, review KDE, DD, DS etc.
• Assess and escalate any data quality incident identified through Data Quality Monitoring or other DG controls.
• Understand in detail key components of a Data Quality Monitoring system (Data Dictionary, Key Data Elements, Data Lineage, Data Quality business rules.)
• Provide support in creation of monthly and weekly reports/ status updates for regional and global forums on Data governance.

Data Quality Monitoring

• Assist in the Operationalisation of Global DQM program in region. Data Profiling review and analysis
• Execute DQM daily BAU tasks. Analyse weekly/monthly Data Quality (DQ) error reports and categorise DQ errors across different branches within Asia region.
• Prepare monthly DQ error trend report for each of the branches within the region and regional stakeholders.
• Coordinate with branches in a timely manner to seek responses on DQ errors.
• Assist in the ad-hoc data analysis requests and report generation.

Job Requirements:

• Minimum Bachelor’s degree
• Minimum 1 year of working experience with exposure to banking application in terms of core banking data like Customer, Accounts and Transactions
• Proficiency in Microsoft Excel, PowerPoint and Word. Excel, PowerPoint, and Word skills are crucial for data analysis, reporting, and documentation.
• Experience on Data analytics tools like Alteryx and / or hands-on Python/R is a plus.
• Strong technical, analytical, and problem-solving skills
• Experience in data review and remediation in FI/Bank environment is highly desirable.
• Ability to work independently with minimum supervision.
• Ability to work flexible hours from time to time due to time zone differences.
• Effective Stakeholder management and good communication skills.
• Strong ability to meet project milestones and manage time effectively.
• Well organised and disciplined in maintaining operations documentation.
• Willingness to take on ad-hoc tasks as assigned from time to time.

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

Job ID: 10068361

This role offers the opportunity to work on cutting-edge ML technologies and contribute to transformative business solutions in a dynamic and collaborative environment.

Job Responsibilities:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• Min. Bachelor degree in Computer Science, Data Science, Machine Learning, or a related field.
• At least 4 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.
• Excellent communication skills to articulate technical concepts to diverse stakeholders.

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312

Job Responsibilities:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• Min. Bachelor degree in Computer Science, Data Science, Machine Learning, or a related field.
• At least 4 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.
• Excellent communication skills to articulate technical concepts to diverse stakeholders.

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.

Highlights:

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

Responsibilities:

• Design and build data pipelines: Create the infrastructure to collect, process, and store data from various sources.
• Develop data assets platform: This platform provides a centralized repository for managing and accessing data assets.
• Implement automated SQL generation: Create tools and processes to automatically generate SQL queries based on user-defined criteria or business requirements. This can involve using techniques like query templates, metadata-driven generation, or machine learning algorithms.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.
• Overseas process development support for short term assignments.

Requirements:

• Masters (w/ min. 2 yrs of relevant working exp./ PhD (w/ min. 1 yr of relevant working exp. (Computer Science / Data Science / Statistics Applied Science etc)
• Programming skills: Proficiency in programming like Python, SQL, Java, or Scala is essential for data manipulation and automation.
• Data Warehousing and ETL: Understanding of data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools like Informatica, Talend, or Airflow.
• Database Management: Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra) is crucial.
• Cloud Platforms: Experience with deploying and managing data infrastructure.
• Data Modelling: Ability to design and implement data models that effectively represent business requirements.
• Data Quality: Understanding of data quality concepts, validation techniques, and tools.
• Automation Tools: Familiarity with tools like Apache Airflow, Kubernetes, or Ansible for automating data pipelines and infrastructure.
• Machine Learning: Basic understanding of machine learning algorithms can be beneficial for certain automation tasks, such as query optimization or anomaly detection.

HOW TO APPLY:

Interested applicants, please click on “Apply Now”or email to [email protected] with provided your latest resume in MS WORD format with below information.

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

We regret only shortlisted candidates will be notified.

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

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

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Lim Dick Sern (Dick Sern)

EA Personnel Reg No: R22106832

Our client a global financial markets software provider who focus on data related software services and products are looking for a Data Software Specialist to represent them on their client sites. The Specialist will work on new implementations and enhancements of existing software. The products are data solutions for front, middle and back-office environments within banks, asset managers and hedge funds.

Key Responsibilities:

· Working with the Sales and Pre-Sales teams on customer demonstrations of the data solutions products.

· Conduct business analysis of the requirements from clients, translating these into technical solutions.

· Take care of the design and implementation of the products for the client making sure they configured correctly as per requirements.

· You will leverage your MDM or EDM ( Master Data or Enterprise Data) data software experience with the new implementations and the enhancements.

· You will leverage your software development background and hands-on scripting skills in SQL and/or Python.

· Project Manage the implementations and/or enhancements with the help of the Pre-Sales/Post Sales team and Program Managers.

· Provide training and post implementation support as needed.

Key Experience Needed:

5+ Years of IT experience

· You will be coming from a software development and/or data solutions background with hands on experience with SQL or Python Scripting and ideally some data modelling, ETL tools experience.

· Your understanding of Master Data Management (MDM) and/or Enterprise Data Management (EDM) will be excellent.

· Any software development experience with JAVA, C#.NET, C++, or any other languages will be a big plus as you will need to be able to understand the code to write some rules via scripts.

· Be able to conduct business analysis activities, taking requirements, building documentation.

· Have experience with configuration and customizing of data software products.

· Financial markets industry experience and some understanding of asset classes is essential.

· Any experience with financial markets data feeds for example, Bloomberg and Refinitiv is preferred.

· You will enjoy working in customer facing role and so will have excellent communication and stakeholder management skills.

This is a great opportunity to join a global MNC, with a fantastic team, work on exciting market leading data software solutions products with a business that is growing across APAC.

Apply NOW if you want to find out more !

Speak to you soon.

Adam Davies

Partner

Technology 'recruitment & search'

Menrva Group, Singapore

Registered Agent R1326604

Company EA License 19S9808

Company Registration 201900823K

MENRVA PTE. LTD.

Responsibilities: 

• Data Governance Policies and Standards: Establishing clear policies, standards, and procedures to ensure consistent and high-quality data across the organization. 
• Data Quality Management: Monitoring and assessing data quality through processes such as profiling, validation, and cleansing. Collaborating with data owners and stewards to define and enforce data quality standards promptly. 
• Data Classification and Security: Classifying and labelling sensitive data elements and collaborating with security and compliance teams to enforce data protection policies. Implementing and monitoring access controls to ensure data security and confidentiality.
• Stakeholder Collaboration: Working closely with internal stakeholders from cross-functional teams to understand data requirements and business processes. Acting as a liaison between business and technical teams to promote a collaborative approach to data governance.
• Data Compliance and Auditing: Ensuring compliance with relevant data protection regulations, industry standards, and internal policies. Conducting regular audits to assess adherence to data governance policies and recommending improvements as needed. 
• Data Visualisation: Build and implement data visualisation of reports and dashboards for management and business users. Create summaries and reports highlighting key findings with a focus on market dynamics and industry trends.

Job Requirements

• Bachelor's degree in a relevant field (e.g., Information Management, Computer Science, Business Analytics).
• Proven experience in data management, or a related role.
• Strong understanding of data quality and data classification concepts.
• Familiarity with data protection regulations and industry best practices.
• Excellent communication and interpersonal skills, with the ability to work collaboratively across departments.
• Familiar with data visualisation tools.
• Analytical mindset with attention to detail and problem-solving skills

Applicants who are keen to apply, pls send your resume to : [email protected]

This role offers the opportunity to work on cutting-edge ML technologies and contribute to transformative business solutions in a dynamic and collaborative environment.

Job Responsibilities:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• Min. Bachelor degree in Computer Science, Data Science, Machine Learning, or a related field.
• At least 4 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.
• Excellent communication skills to articulate technical concepts to diverse stakeholders.

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312

Working Location: Labrador Park

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

JOB DESCRIPTION

• Rotate through various departments to gain hands-on experience in operations, marketing, finance, and more
• Participate in leadership training programs to enhance your management skills and prepare for future leadership roles
• Assist in managing key projects and initiatives, ensuring their successful execution from start to finish
• Analyze business performance, identify opportunities for improvement, and present recommendations to senior leadership
• Work with diverse teams across the organization to drive strategic initiatives and enhance operational efficiency
• Engage with clients, partners, and stakeholders to understand business needs and deliver value-added solutions
• Conduct research to identify market trends, customer preferences, and industry best practices to guide decision-making
• Receive mentoring and guidance to fast-track your career and transition into a full-time management role upon completion of the program

JOB REQUIREMENTS

• Minimum Diploma and above
• Demonstrated leadership skills through academic, extracurricular, or professional experiences
• Strong analytical and problem-solving skills with the ability to think critically and creatively
• Good verbal and written communication skills, with the ability to engage with senior management

EA Reg. Number: R21100629

EA License Number: 22C1278

Working Location: Labrador Park

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

JOB DESCRIPTION

• Manage calendars, schedule meetings, and handle correspondence for executives
• Maintain and organize business documents, reports, and records efficiently
• Assist in coordinating and tracking the progress of projects to ensure timely delivery
• Conduct research on industry trends and competitors, providing insights to support business decisions
• Act as a liaison between clients and the business, ensuring smooth communication and relationship management
• Help organize business meetings, conferences, and events
• Support expense tracking, invoicing, and budget preparation
• Address and resolve minor business issues or escalate them when necessary

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong multitasking abilities with excellent attention to detail
• Familiarity with Microsoft Office Suite and other business tools
• Excellent written and verbal communication to interact with clients and team members effectively

EA Reg. Number: R21100629

EA License Number: 22C1278

• Salary up to $8,000
• 5 days work week (Hybrid)
• Central

Our client is committed to delivering innovative technology solutions. Our team of experts thrives on solving complex challenges and building cutting-edge solutions. You will play a crucial role in defining the architecture of data warehouses, databases, and cloud-based data solutions. We are seeking a talented and experienced Data Architect to join our growing team.

Job Scope:

• Accountable for the system architecture of the enterprise-wide Data Analytics Platform.
• Work with internal and external system architects and technicians to keep the architecture of the Data Analytics Platform healthy and elastic.
• Manage the lifecycle of the Data Analytics Platform and maintain plans for the next 5 years.
• Proactively understand the demand from business users and factor them into the architecture enhancement plans.
• Monitor the system performance of the Data Analytics Platform to always meet the service levels.
• Keep the Data Analytics Platform stable and maximize the availability.
• Manage the Processes and Guidelines on Data Governance.

Position Requirements:

• Experience to design and implement a modern Data Analytics Platform in Google Cloud and similar BI experiences.

Technical Skills:

• Architect level technical knowledge of relational databases, DataLake and Google Cloud BigQuery
• Architect level technical knowledge of Looker and other BI Tools
• Administrator level knowledge of Collibra or other Data Governance Tool
• Proficiency in Python / Javascript.

For consideration, kindly submit your CV by clicking “APPLY Now”

**Only shortlisted candidate would be notified**

EA Reg. No: R22107887 | Gladys Chang Si Min

Job Responsibilities:

• Promote and sell surgical devices and hospital supplies represented by the company

• Identify and increase opportunities in target markets

• Consistently keep updated on product, market and competitor knowledge

Job Requirements:

• Degree, with a minimum of 1-year marketing/sales experience

• Experience in medical device/pharmaceutical sales will be an advantage

• Possess a Class 3 driving license and preferably owns a car

• Willing to travel for work purposes

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

*Entry Level* Quality Assurance Engineer | Java | Whitebox

Working Hours: Monday - Friday (Hybrid)

Working Location: Central

Remuneration Package: Up to $4,000 + AWS + Performance Bonus

Join our team as a Quality Assurance Engineer (Whitebox) where you'll play a critical role in ensuring the quality and reliability of our software products. Collaborate closely with development and project management teams, create comprehensive test plans, execute automated scripts, and track bugs to drive continuous improvement.

Responsibilities:

• Review requirements, specifications, and technical design documents to provide timely and meaningful feedback.
• Develop detailed, comprehensive, and well-structured test plans and test cases.
• Estimate, prioritize, plan, and coordinate testing activities.
• Design, develop, and execute automation scripts using automated testing tools.
• Identify, document, and track bugs thoroughly, ensuring proper resolution and regression testing.
• Monitor debugging process results and track quality assurance metrics such as defect densities and open defect counts.
• Stay updated with new testing tools and test strategies.
• Coordinate with the development and project management teams for smooth System Integration Testing (SIT) and User Acceptance Testing (UAT) processes.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field.
• Good to have experience software quality assurance with strong knowledge of QA methodologies, tools, and processes.
• Good to have experience in writing clear, concise, and comprehensive test plans and test cases.
• Familiarity with Agile/Scrum development processes.
• Good to have hands-on experience with both white box and black box testing is a plus.

"By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

Contact you about potential opportunities.

Delete personal data not required at this application stage.

To withdraw consent, email [email protected].

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Aloysius Tan Sheng Rong - R22110441

ScienTec Consulting Pte Ltd - 11C5781

Working Location: Labrador Park

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

JOB DESCRIPTION

• Participate in hands-on job rotational training under the guidance of skilled professionals
• Understand each department’s (e.g., HR, Operations, Marketing, Sales) daily processes and goals
• Provide administrative support to managers and teams
• Participate in company’s strategic planning
• Help managers in evaluating performance (e.g., writing reports, analyzing data)
• Keep track of business revenue
• Research ways to increase profitability and lower risk
• Take ownership of assigned tasks and contribute ideas for process improvement and innovation
• Maintain accurate records and documentation related to training activities, projects, and other responsibilities

JOB REQUIREMENTS

• Minimum Diploma and above
• Ability to work effectively in a team environment and collaborate with colleagues from diverse backgrounds
• Analytical mindset with the ability to solve problems and make informed decisions
• Eagerness to learn and develop new skills, with a proactive and positive attitude

EA Reg. Number: R21100629

EA License Number: 22C1278

Working Location: Labrador Park

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

JOB DESCRIPTION

• Assist in planning and tracking project schedules, tasks, and deliverables
• Maintain project documents, reports, and records for easy access and updates
• Provide administrative and logistical support to project teams
• Organize and schedule project meetings, preparing agendas and taking minutes
• Track the status of project milestones and update stakeholders
• Assist in managing project resources, including materials and budgets
• Coordinate communications between team members, clients, and stakeholders
• Address minor project issues and escalate concerns when necessary

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong ability to multitask and prioritize tasks effectively
• Excellent verbal and written communication for collaboration and reporting

EA Reg. Number: R21100629

EA License Number: 22C1278

PURPOSE

• Being a vital member of the GO Data monetization team to support and contribute to the overall Smart Insurance and Data Monetization Strategy
• Champion and drive customer acquisition, retention, cross-sell and upsell campaign across markets.
• Drive customer engagement initiatives to achieve the collective Data Monetization target set for all markets.

KEY ACCOUNTABILITIES

• Champion and drive data-driven marketing initiatives and efforts across markets. Key initiatives include Leads Acquisition, Retention and Up-sell & Cross-sell campaigns and initiatives.
• Plan, creates and implement customer-centric and data driven GO Signature engagement programme and roll out across markets
• Coach, initiate, define and support CVM activities using data and AI; drive effective demand generation programme at scale.
• Handle data and analytics comfortably and relate them to qualitative aspects of work.
• Generate insights into customer segments for data monetization campaign planning.
• Review campaigns tracking results and propose next step.
• Benchmark market standards, share best practices and provides feedback and suggestions to countries to improve local campaigns and support implementation.
• Liaise with key and senior stakeholders to maintain an evolution of information needs.
• Ensure adherence to all data governance standards as determined by regulators

QUALIFICATIONS / EXPERIENCE

• Bachelor/Master degree in a relevant field (digital marketing, CRM, loyalty or data analyses.)
• Min 5+ years’ experience in a similar field.
• Analytical, strong database management and resourceful.
• Good communication and interpersonal skills.
• Proactive and able to work in a fast-pace environment.
• Understanding of Customer Experience Management.
• Positive attitude.
• Able to travel

KNOWLEDGE & TECHNICAL SKILLS

• Familiar with customer centric marketing, customer insights, marketing campaign best practises and other enterprise marketing strategies.
• Know the business to appreciate and understand the value of the data to monetize it
• Familiar with Salesforce Marketing Cloud or other marketing automation platform preferred but not a must.
• Ability to create great presentations with strong narratives.

Responsibilities

• Design and develop smart manufacturing and AI solutions in advanced factory scheduling, optimization and simulation that enable the achievement of industry leading manufacturing capability.
• Develop high-quality data analytics and applications that provides actionable insights for management and manufacturing teams.
• Explore and apply new frontier ideas, concepts and technology to enable breakthrough solutions at Micron.
• Work with management, different departments, and global manufacturing sites to identify optimization opportunities and deliver solutions to continuously improve production metrics.
• Drive global collaboration, alignment, and benchmarking of scheduling and simulation solutions.

Requirements

• Possess a drive to make a difference and a passion for exploring new frontiers.
• Highly motivated, proactive, with a strong work ethic, able to work independently and collaborate effectively with diverse teams.
• Strong problem-solving skills with logical approach.
• Masters/Bachelor’s degree in Industrial Engineering, Operations Research, Computer Science, Computer Engineering, Data Science, other technical disciplines, or equivalent professional work experience.
• Proficient in C#, Python and SQL.
• Knowledge and experience in optimization and CPLEX/Gurobi strongly preferred.
• Knowledge and experience in reinforcement learning, machine learning and deep learning preferred.
• Direct experience with factory scheduling, simulation, and application development preferred.
• Knowledge and experience with GCP, Snowflake, Visual studio, GIT, Azure DevOps preferred.
• Able and willing to travel overseas

Mandatory Skills

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Fluency in written and spoken English, with strong communication and interpersonal skills.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:

· Python development.

· Hadoop platform (Hive, HDFS, Spark).

• 3–5 years of experience in:

· Unix shell scripting.

· SQL development.

• 2–3 years of experience in Spark programming.

Mandatory Skills

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Fluency in written and spoken English, with strong communication and interpersonal skills.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:

· Python development.

· Hadoop platform (Hive, HDFS, Spark).

• 3–5 years of experience in:

· Unix shell scripting.

· SQL development.

• 2–3 years of experience in Spark programming.

Location: Upper Changi

Salary up to $4000

1 Year Contract

Job summary:

The client is in Semi-conductor industry, currently they are looking for an Supply Chain Planner to plan, schedule and monitor of materials related to the production cycle. This role will involve material management, movement, import and export. Additionally, this role will need analytic skills to forecast the demand and supply to meet business needs.

Job Duties:

• Plans, schedules and monitors the movement of material through the production cycle.
• Utilizing SAP for inventory management in warehouse
• Determines material requirements from engineering and production schedules.
• Coordinates the efficient movement of materials with purchasing, production and engineering
• Plans and schedules and monitors determine required materials purchases.
• Liaise with production team to ensure sufficient inventory and required materials for business
• Ensures material standards are met and non-conformances or variances are approved and/or minimized.

Requirements:

• Experience in SAP/ERP System
• 3 Years of experience in supply/demand planning
• Great interpersonal skills
• Forecasting, budgeting and data visualizations
• Bachelor OR Diploma holder in logistics or supply chain management with 3 years' experience in supply chain functions

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E EA License No. 01C4394 • EA Registration No. R21103542 (Ling Kai Jin)

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tacand the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries.

Working Location: Labrador Park

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

JOB DESCRIPTION

• Collect, clean, and analyze data to support business decision-making
• Create and maintain reports, dashboards, and presentations to visualize insights
• Conduct research to identify trends, opportunities, and risks within the industry
• Analyze workflows and recommend improvements for efficiency
• Work with teams to support key initiatives and achieve business goals
• Track market and industry developments to provide actionable insights
• Use software tools like Excel, SQL, or data visualization platforms to manage data
• Handle special projects or tasks as assigned by the team lead

JOB REQUIREMENTS

• Minimum Diploma and above
• Proficiency in Excel and basic understanding of data analysis tools
• Strong analytical skills with the ability to interpret data and identify trends
• Clear and effective communication for presenting findings and collaborating with teams

EA Reg. Number: R21100629

EA License Number: 22C1278

Job Description:

• Handling of HR-related duties
• Actively source and screen candidates through various channels
• Conducting face to face/ online interviews with prospective applicants
• Coordination of interview arrangements
• Provide support to the HR executives to meet recruitment goals
• Handle any admin duties assigned by supervisor

Job Requirements:

• Minimum Diploma / Degree in any related course of study
• Candidates with no exp are welcome to apply

All qualified applicants, please send in your resume to

[email protected]

Alvin Lee Peck Keong (R1104781)

Recruit Express Pte Ltd (99C4599)