You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are on the lookout for a Manager in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP) and Generative AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.

Role Overview:

As a Manager, NLP and Generative AI, you will play a crucial role in the development and implementation of cutting-edge NLP solutions that address significant business challenges. Working closely with cross-functional teams, you will leverage your expertise in NLP to enhance our product offerings and streamline operational processes. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Key Responsibilities:

• Lead the design and development of NLP and Generative AI projects, ensuring alignment with business objectives and scalability across the organization.
• Conduct applied research in NLP to identify and deploy advanced techniques that enhance our data science capabilities, focusing on delivering practical business solutions.
• Foster a culture of innovation by staying abreast of the latest trends in AI and NLP, and actively sharing knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Manage project timelines, resources, and deliverables using agile methodologies, ensuring efficient progress from conception to deployment.
• Collaborate with the Technology team to integrate NLP solutions into our existing systems and platforms, enhancing functionality and user engagement.

Qualifications:

• Ph.D. degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Extensive experience in machine learning, NLP, and Generative AI, with a demonstrated ability to manage projects from inception to completion.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects that have delivered tangible business outcomes.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Solid understanding of agile project management principles, with experience leading teams and managing projects in a fast-paced environment.
• Excellent communication and leadership skills, with the ability to collaborate effectively with both technical and non-technical teams.
• Strong problem-solving abilities, with a creative and analytical approach to tackling challenges and driving results.

Job Description:

As a Senior Architect specializing in Data Centers, you will play a pivotal role in the design and engineering of critical infrastructure systems. You will lead a team of engineers and collaborate with various stakeholders to ensure the successful delivery of data center projects.

Key Responsibilities:

• Design Leadership: Lead the design of data center infrastructure, including electrical, mechanical, and structural systems.
• Project Management: Oversee project timelines, budgets, and resources to ensure projects are completed on time and within budget.
• Collaboration: Work closely with internal teams, external consultants, and regulatory agencies to address design issues and meet project milestones.
• Quality Assurance: Ensure the accuracy and quality of design documents and specifications.
• Process Improvement: Drive continuous improvement in design processes and methodologies.
• Client Engagement: Partner with clients to understand their requirements and deliver solutions that meet their needs.

Requirements:

• Education: Bachelor's or Master's degree in Architecture or a related field.
• Experience: Minimum of 5 years of experience in data center design and engineering.
• Skills: Proficiency in design software such as AutoCAD, Revit, and other relevant tools. Strong project management and leadership skills.
• Certifications: Relevant professional certifications are a plus.
• Communication: Excellent verbal and written communication skills.

Preferred Qualifications:

• Experience with large-scale data center projects.
• Knowledge of industry standards and best practices.
• Ability to work in a fast-paced, dynamic environment.

If you are interested in this opportunity, please submit an application to this job with an updated CV detailing your relevant experience to this job ad or directly

Only shortlisted applicants will be contacted.

Reporting to the Head of Engineering, Chubb Life, the primary responsibility of the Principle Engineer - Data for Chubb Life is to cultivate data engineering skills and adopt new age data tools into Chubb Life to support the fast-growing business and customer needs. Concurrently, success will also be viewed in aligning Chubb Life approaches to Chubb Group’s overall target operating models. As Chubb Life operates an extensive matrix reporting structure, strong influencing skills are critical in ensuring all technology related services and deliverables are executed within business expectations.

You will form strong working partnerships with business and technology leaders, plan and implement data engineering programs, formulate data and analytics strategies for solving business problems.

You will have superb engineering, technical, business and communication skills to be able to work with functional leaders to define and prioritize key data needs and build data products & platforms.

Responsibilities

• Develop the vision for Chubb Life’s data engineering approach and drive the data engineering strategy in tandem with the data transformation program
• Accountable for the data pipelines and data platforms that support the business needs across Chubb Life businesses
• Build a data engineering organization and governance model that is business focused, proactive, and resilient
• Attract, hire, and retain top talent, creating an engineering culture that fosters innovation and collaboration
• Promote data governance and master/reference data management as a strategic discipline
• Implement strategies to monitor the effectiveness of data management
• Be an inspiring engineering leader, mentor, and coach, be an active member of the data leadership team
• Evaluate emerging data technologies and provide thought leadership to determine their business benefit and impact on the future-state data platform
• Manage and drive the relationships between Chubb Life Global and the Global Life teams across geographic locations, establishing the ongoing operating model
• Proactively engage with teams in market and global offices to design and execute on a roadmap for internal, partner, and client data solutions for the business
• Evolve the way the business thinks about the importance of data and show how a robust data strategy can drive substantial value to our customers and clients.
• Work with the Data Delivery functions to form a model that supports delivery at a strategic and tactical level to support speed to market and insights
• Work with Life Head of Data Transformation and the group Data engineering teams closely to achieve the ambitions of Life data

Core Competencies

• Customer focused, results and action oriented
• Excellent communication and interpersonal skills with the ability to actively engage staff and stakeholders, communicate vision, effectively communicate Data and Analytics concepts / solutions, and influence appropriately
• Strong time management and prioritization skills
• Well-developed delivery skills
• Change agent and appreciation of Agile principles and methodologies
• Demonstrated ability to drive business improvement and effectiveness via well designed data solutions
• Ability to proactively identify data-driven issues and opportunities, and use the appropriate level of technical acumen to drive solutions
• Ability to navigate and succeed in a large global enterprise
• Ability to set direction and participate in new initiatives when required, research, recommend and document modern technologies and processes that will provide benefits to the business
• Subject matter expert contributing to Chubb Life’s business and data strategy, ensuring the data architecture, infrastructure, methodologies, and tools employed are best practice and follow established governance processes

Additional Requirements

• At least 15+ years of experience in Software Development and/or Data Engineering Best Practices and development
• University qualification in computer science or equivalent data field qualification
• Proven experience in large multinational financial services industry, and previously held a data engineering leadership role
• In-depth experience in designing and implementing enterprise-wide cloud data and analytics platforms
• Hands-on architecture and delivery experience in large scale, cloud data management solutions
• Hands-on experience architecting and implementing large scale multi discipline master/reference data management, cloud data lake and analytics platforms
• Data technology literate with a detailed understanding of the modem data architectures and data analytics platforms
• Presentation and facilitation and design-thinking skills
• Ability to collaborate and communicate with executive level business leaders
• Insurance business domain, data/content and process understanding
• Knowledge of relational/object modelling, knowledge/graph modelling techniques
• Understanding of metamodels, taxonomies and ontologies
• Ability to assess rapidly changing technologies and apply them to business needs
• Good financial acumen and experience in planning and budgeting

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

Responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Planning and delivering of high performing models, meeting agreed deadlines and ensuring accurate, efficient implementation of models in production systems
• Learning industry developments and best practices, conducting research and development to incorporate best in class modelling methodologies and share with the team
• Performing annual reviews, performance monitoring reviews, retrains and remediation activity on models as required
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
• Lead, engage, and inspire a large team of high performing risk management professionals

Qualifications:

• PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. PhD degree with practical experiences NLP is a significant plus.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Strong people leader and team player with a demonstrated ability to develop team members and create highly effective and results-driven culture
• Strong relationship management and proven track record of positively collaborating and partnering with stakeholders
• Ability to learn quickly and work independently with sophisticated, unstructured initiatives
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

Create unit tests throughout the data and algorithms domain:

 Work with engineering and business teams to implement wide-coverage unit tests

of data and engineered features at different stages throughout the data collection

and processing pipeline;

 Create unit tests of inputs to and outputs from the algorithms that drive the clinical

service;

 The unit tests include validation of the inputs and outputs of black-box machine

learning algorithms;

 Establish a regular process to execute the tests and document their outcomes as

a part of our product development and release lifecycle;

2. Implement and refine mechanisms to continuously archive the state of algorithmic inputs

and outputs:

 Implement a process of taking snapshots of data/features input into algorithms

necessary to recreate their outputs/predictions at any point in the past during the

service;

 Communicate requirements to the software development team

3. Assist in the successful delivery of regular service analytics and reports:

 Support the business and analytics teams in their daily and weekly delivery of

reports on data completion, user engagement, and algorithm actions by

addressing any data quality and validation requirements;

REQUIREMENTS

a) Bachelor's degree in computer science, engineering, business analytics, technology, or a

related field.

b) Minimum of 2 years of experience in data engineering, data analytics, or data product

management roles within the tech industry. Experience in healthcare is a plus.

c) Ability to implement tests in Python.

d) Good understanding of the validation requirements of an algorithmic product. Knowledge of

healthcare regulation and auditing requirements is a plus.

Founded in 2019 in Singapore, the Recoded Studio is stimulated to develop unique games that embrace beauty and simplicity. We are dedicated to creating long-term value for not only our players, but also our fellow team members.

We achieve this by encouraging individuality and teamwork so that each team member can take ownership in their own expertise while collaborating as a group to pursue a shared ideal of constructing the befitting environment that brings out wonderful game experiences to our players.

Our studio is currently looking for a Game Data Engineer to join our multi-talented team. The role will be responsible for designing, building, and maintaining the data pipelines, infrastructure, and tools that enable the analysis and optimization of player experiences, monetization strategies, and game performance. The Game Data Engineer will report to the Marketing Manager and work closely with other stakeholders (e.g. Game Designers, Server team etc.) to transform raw game data into actionable insights that drive business and game development decisions.

RESPONSIBILITIES:

Data Pipeline Development

• Design, develop, and maintain scalable, efficient, and reliable pipelines to process large volumes of game and player data.
• Optimize data processing workflows to ensure high performance and low latency for real-time data needs.

Database and Infrastructure Management

• Develop and manage databases to store and organize game and user data effectively.
• Implement robust data warehousing solutions to facilitate easy access to aggregated data.
• Ensure high availability and reliability of data systems.

Collaboration and Integration

• Work closely with the Marketing Manager, Game Designers and Server team to understand data requirements and deliver tailored solutions.
• Collaborate with respective teams to ensure seamless integration of data pipelines with gaming backends and other systems.

Data Quality and Governance

• Implement data validation and quality assurance processes to ensure the accuracy and consistency of data.
• Develop and enforce data governance policies to maintain compliance with data privacy regulations.

Performance Monitoring and Optimization

• Monitor data systems and pipelines for performance and troubleshoot issues proactively.
• Continuously refine and optimize processes to improve efficiency and scalability.

Exploration and Innovation

• Explore emerging technologies and best practices in data engineering and gaming analytics.
• Develop proof-of-concepts to experiment with new tools and frameworks that enhance the data infrastructure.

QUALIFICATIONS:

• Familiarity with MMP (otherwise willing to take initiative and learn from documentations on MMP sites)
• Bachelor's degree in a quantitative-related field such as Mathematics, Statistics, Economics, Computer Science etc.
• 2+ years of experience in data engineering or analysis roles, preferably in the gaming industry.
• Strong proficiency in SQL, data visualisation tools (such as Tableau or Power BI), and Excel.
• Strong problem-solving and analytical skills, with attention to detail.
• Excellent communication and presentation skills, with the ability to effectively communicate complex data insights to non-technical stakeholders.
• Ability to work collaboratively in a fast-paced and iterative development environment.
• Experience with statistical analysis and machine learning techniques.
• Passion for games and a deep understanding of game mechanics and player behaviour is a plus.

If you are a driven and analytical individual with a passion for games and a desire to make an impact in the gaming industry, we would love to hear from you!

How to apply?

Candidates can apply directly to Recoded on the MyCareersFuture platform. Please include your updated resume.

Applications will be treated in the strictest confidence, where all personal data collected will be kept confidential and only used for recruitment purposes.

Thank you for your interest & time in applying to Recoded! We apologise that only shortlisted candidates will be contacted.

Job Description & Requirements

We are seeking a Senior Data Engineer with 10+ years of experience in software development and expertise in Big Data technologies. The ideal candidate will work on designing, developing, and maintaining scalable data pipelines and analytics platforms to meet diverse business requirements.

Responsibilities:

• Build and optimize large-scale data pipelines using Hadoop, Spark (Core, SQL,Streaming), and PySpark.
• Manage and process structured and semi-structured data using Hive, Sqoop, Impala, and Kudu.
• Develop and implement streaming data solutions with Apache Kafka.
• Collaborate with cross-functional teams to understand technical requirements and implement data-driven solutions.
• Perform data validation, quality checks, and recon reports to ensure high data accuracy.
• Work on AWS services (S3, Glue, Athena) for cloud-based data workflows and analytics.
• Translate legacy systems to open-source frameworks, leveraging technologies like Python and SQL.
• Optimize performance and scalability for data processing and storage systems.
• Utilize Java/J2EE, Hibernate, and Struts frameworks for backend application development.
• Provide mentorship to team members and support in troubleshooting and debugging complex data issues.

Requirements:

• Proficiency in Big Data ecosystems, Spark, Hadoop, and related technologies.
• Strong experience with PySpark, data transformation, and aggregation techniques.
• Hands-on with AWS services and cloud-native data pipelines.
• Solid understanding of SQL, RDBMS, and data integration tools.
• Expertise in Java/J2EE frameworks and application development.
• Strong communication and problem-solving skills.

We are looking to speak to Data Engineers with experience in the Crypto Industry!

You will design and deploy resilient data infrastructure that converts raw data into valuable insights. Your role will involve creating scalable data pipelines and models that support key decision-making across the organization. Your expertise will be essential in establishing data governance practices and ensuring the integrity, accessibility, and dependability of data across our systems.

Responsibilities

• Design & Build: Develop and maintain scalable data pipelines, efficient ETL processes, and robust data warehousing solutions to manage complex data needs.
• Optimize & Scale: Enhance data infrastructure performance, implement data quality protocols, and create automated monitoring systems for proactive issue detection.
• Empower & Enable: Collaborate with product, engineering, and go-to-market teams to deliver data-driven solutions that provide actionable strategic insights.
• Rapid Response: Respond swiftly to time-sensitive data requests and ad-hoc queries, delivering critical analyses and data solutions with urgency while ensuring precision and reliability.

Requirements

• Experience: Over 7 years of hands-on data engineering expertise.
• Data Architecture: Extensive experience in data modeling, data warehouse design, and implementing ETL best practices.
• Technical Mastery: Advanced proficiency with modern data stack technologies, including Snowflake, Airflow, DBT, and AWS.
• Systems Thinking: Strong background in distributed systems, data streaming technologies (Kafka, Kinesis), and optimizing large-scale data workflows.
• Agility: Demonstrated ability to quickly address urgent data requests and deliver timely solutions to critical business needs.

"Sanderson-iKas" is the brand name for iKas International (Asia) Pte Ltd, a company incorporated in Singapore under Company UEN No.: 200914065E with EA license number 16S8086.

Website: www.sanderson-ikas.sg

The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.

At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions.

GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do.

Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today!

Learn more about GovTech at tech.gov.sg.

We are seeking a Data Engineer to join our team.

You will be part of a data team deployed at a government agency identified as a strategic partner for GovTech, building out data products critical to WOG’s ops and service delivery as identified under the Digital Government Blueprint (DGB2.0) programme. You would operate in close alignment to Data and AI Practice's approach and philosophy, and would be closely supported by central GovTech products and platforms teams. This role requires an individual with experience in cloud-based data engineering work, as well as good communication skills, as you will be expected to interact frequently with the partner agency's users to elicit useful business information that enables you to perform your job.

What you will be working on:

• Translate data requirements from business users into technical specifications.
• Collaborate with partner agency’s IT teams on technology stack, infrastructure and security alignment.
• Build out data product as part of a data team:
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
• Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;
• Construct, test, and update useful and reusable data models based on data needs of end users.
• Design and build secure mechanisms for end users and systems to access data in data warehouse.
• Research, propose and develop new technologies and processes to improve agency data infrastructure.
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.
• Maintain data catalogue to document data assets, metadata and lineage.
• Implement data quality checks and validation processes to ensure data accuracy and consistency.
• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

What we are looking for:

• A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.
• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.
• Experience in architecting data and IT systems.
• Experience with orchestration frameworks such as Airflow, Azure Data Factory.
• Experience with distributed data technologies such as Spark, Hadoop.
• Proficiency in programming languages such as Python, Java, or Scala.
• Proficiency in writing SQL for databases\
• Familiarity with building and using CI/CD pipelines.
• Familiarity with DevOps tools such as Docker, Git, Terraform.

Preferred requirements:

• Experience in designing, building, and maintaining batch and real-time data pipelines.
• Experience with Databricks.
• Experience with implementing technical processes to enforce data security, data quality, and data governance.
• Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programmes.

We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.

Learn more about life inside GovTech at go.gov.sg/GovTechCareers.

Stay connected with us on social media at go.gov.sg/ConnectWithGovTech.

Marine Service Engineer

Office location : Boon Lay
Working Location: On board ship

Working days : 5 days (Mon- Friday)

Working hours : 8am - 5pm

Salary : $2,000-$2,800 basic + OT + Allowances (Gross Salary $3,000 - $4,000)

Interested applicants can also send your resume to WA:+65 8839 3566 (Ms Angel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

LIEW ONN KEE REG NO : R22108518

THE SUPREME HR ADVISORY EA NO:14C7279

Job Description

• Conduct periodic inspections, repair, service and maintenance of marine equipment to ensure reliable
  operation.
• Collaborate with clients and superintendents to deliver quality services efficiently.
• Generate reports and present findings to relevant personnel.
• Provide remote troubleshooting support through emails, ensuring customer issues are resolved promptly to maintain high satisfaction levels.
  
  Requirements:
• Diploma in Engineering or equivalent (Electrical/Electronics/Mechanical/Mechatronics).

We are recruiting for a Data Centre platform with regional offices in key cities within Asia Pacific. They are backed by various institutional capital and has been looking to ramp up their DC acquisition and hence will be beefing up the investment management team with an analyst/associate for their Singapore/Japan office.

You will be responsible in developing and implementing business strategies for sourcing acquisition or investment opportunities, including specific strategies designed to achieve short and long-term growth and profit objectives. You will be supporting origination of new investments and business opportunities and involved in analysing economic and market trends, earnings prospects, financial statements, and various other indicators and factors to evaluate suitable investment opportunities and strategies.

This will also include feasibility studies and other research for potential investments, investment underwriting, due diligence, managing documentation, site visits and investment closing, preparing management reports, board materials, Investment Committee memorandums on potential opportunities as well as supporting transaction due diligence and closing processes.

Other responsibilities include developing, implementing and managing asset management strategy to meet business performance objectives as well as asset optimization through the analysis of data centre efficiencies and identifying opportunities for improved performance.

You will drive data centre budget and strategic plan process, valuations, leasing management, insurance procurement, reporting, hold-sell analysis, as well as other asset management cycle of activities including capex and asset enhancement initiatives. You will provide inputs to the projection of cash flow models, life of fund models and work closely with investment team, portfolio reporting team and finance team and managing the post-acquisition integration plan.

Requirements:

• You are degree qualified in Finance, Real Estate, Engineering, Accountancy from a reputable educational institute and have about 2 to 4 years of relevant work experience in data centre, real estate and/or investment industries.
• You are resourceful, possess strong initiative, great independence in working in a fast-paced environment.
• You have excellent business and financial acumen as well as interpersonal skills to manage various stakeholders of different nationalities.
• Fluent in English and Japanese (written and verbal)

All applications will be treated in the strictest confidence. Personal data provided will be used for recruitment purposes only.

Please apply with your CV in word document format. We regret to inform that only shortlisted candidates will be notified. For other positions related to real estate, please go to https://careers.tri-cap.com.sg/.

EA Licence: 24S2282

​EA Personnel: R1109270

about company

I am currently working with a well-known tech product based company focusing on travel and ecommerce. Role based in Singapore. Open to overseas candidate is willing to relocate to Singapore.

Attractive salary package! 3-4 rounds of interview to offer stage. 5 days in office at CBD.

about job

• Lead and manage a team of 5-7 data analysts in Indonesia. 80% hands-on, 20% management
• Need to travel 1 week every 2 months to SEA countries
• Partner with Financing products (Lending product/Credit Scoring) commercial stakeholders
• Develop and implement a unified data strategy for financing activities aligned with company objectives
• Design, build, and maintain data pipelines and dashboards to track key performance indicators (KPIs) for user acquisition, conversion, transaction behavior, credit risk (PayLater), insurance economics, and fraud
• Conduct in-depth data analysis to identify trends, growth opportunities, and improvement areas in user acquisition, conversion, risk management, and product development (for Financing products).
• Leverage data to inform credit risk modeling for PayLater and actuarial modeling for insurance, ensuring responsible lending and product offerings.

skills and requirements

• Min 7 years of experience in a data leadership role, preferably within the financial technology industry.
• Proven experience in managing and mentoring data analysts.
• Strong understanding of data analysis methodologies, including SQL, statistics, and machine learning (a plus).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience working with data pipelines and cloud platforms (e.g., GCP) (a plus).
• Excellent communication and presentation skills, with the ability to translate complex data insights into clear and actionable recommendations for non-technical audiences.

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

Responsibilities:

Support the organisation's data centre services through monitoring and management for system, network and facilities
Perform computer operations including account and tape management
Incident management and act as escalation point to any facilities and system / network
Manage and administer the service desk operations
System alert monitoring and perform necessary escalation
Liaison with landlord / vendor with regards to utilities, building services / facilities and systems issues
Assist in planning and execution of disaster recovery activities
Ensure procedures, processes and service level are being followed for any service delivery and operations
Review of the data centre operations and report any gaps and issues
Maintain proper IT documentation and prepare monthly reporting

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd
• RCB No. 200007268E • EA License No. 01C4394
• Reg. <R21100074> <Cheryl Thng Wei Lin>

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

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

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

Responsibilities:

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

You can look forward to:

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

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

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

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

YOUR ROLE

Are you passionate about leveraging the power of Big Data technologies to solve complex challenges? Join our team as a Data Scientist – Big Data, where you’ll work with cutting-edge tools to design and implement scalable, efficient, and reliable data solutions.

Key Responsibilities

• Big Data Solutions: Design and implement robust application solutions using the Hadoop ecosystem, including tools like Hive, HDFS, YARN, and Spark.

• Data Pipeline Development: Develop efficient data processing pipelines, leveraging HDFS file formats (e.g., Parquet, ORC, Sequence) for various use cases.

• Automation and Monitoring: Create automation scripts using Jenkins, Shell, or Python for builds, testing frameworks, and app configurations. Monitor system resource utilization using tools like Grafana to ensure optimal performance.

• Data Warehousing: Contribute to the development and maintenance of data warehousing systems, including data modeling and optimization.

• DevOps Integration: Implement CI/CD processes using tools such as Bitbucket, Jenkins, and Azure DevOps (ADO) for automated deployment and version control.

• Integration Services: Work with integration tools such as FileIT, MQ, or similar systems to enable seamless data flows.

• Control-M: Develop and manage scheduling workflows using Control-M and ensure efficient resource allocation.

• Collaboration and Problem Solving: Collaborate with cross-functional teams to identify and solve complex data challenges.

Qualifications and Skills

Required Experience

• 3–10 years of experience in:

o Big Data Ecosystem: Hive, HDFS, YARN, Spark (Spark SQL, PySpark), Scala, and Python.

o Scripting: Proficiency in Shell scripting and Python.

o CI/CD Tools: Jenkins, Azure DevOps (ADO), Bitbucket.

o Monitoring Tools: Grafana or equivalent.

o File Formats: In-depth knowledge of HDFS formats (e.g., Parquet, ORC, Sequence).

• Solid understanding of concurrent software systems, ensuring scalability, maintainability, and robustness.

• Experience in automation and building end-to-end scalable applications.

Preferred Skills

• Knowledge of ETL tools like Dataiku.

• Experience with Schedulers like Control-M.

• Familiarity with integration services like FileIT or MQ.

• Understanding of DevOps practices and tools suite.

• Java/REST Services/Maven experience is a plus.

WHAT YOU’LL LOVE ABOUT WORKING HERE

• We promote Diversity & Inclusion as we believe diversity of thought fuels excellence and innovation.

• In Capgemini, you are the architect of your career growth. We equip people in maximizing their full potential by providing wide array of career growth programs that empower them to get the future they want.

• Capgemini fosters impactful experiences for its people that would aid in bringing out the best in them for them, for the company, and for their clients.

Disclaimer:

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities, Qualifications required for this position. Physical, mental, sensory, or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity. Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

ABOUT CAPGEMINI

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get the future you want | www.capgemini.com

Unlock Your Potential with Us!

Are you ready to grow both personally and professionally? We are seeking motivated individuals with a resilient attitude to be part of our clients' marketing campaigns in ASEAN.

Responsibilities:

- Assist in developing and implementing marketing plans to

support our products/services.

- Coordinate marketing activities, including events, promotions, and campaigns.

- Identify target audiences and consumer insights.

Requirements:

- Strong communication and organizational skills.

- Ability to multitask and prioritize tasks in a fast-paced

environment.

- Hardworking and willing to learn.

- Able to work independently or as a team.

Benefits:

- Opportunities for professional growth and development.

- Positive and collaborative work environment.

- Travelling exposure and opportunities

Apply now to find out more! Only shortlisted candidates would be notified

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2600-$2800+OT+allowances>$3K

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

As a Senior Frontend (Full Stack) Engineer, you will be responsible for designing, developing, and maintaining our data product suite. You will work closely with cross-functional teams including data scientists, data engineers, and UX/UI developers to create scalable, robust, and user-friendly applications. Your expertise in both front-end and back-end development will be crucial in implementing innovative features and ensuring seamless integration between different components of our data products. This role requires strong problemsolving skills, a deep understanding of data processing and visualization techniques, and a passion for delivering high-quality software solutions.

Responsibilities

• Collaborate with product owner, data scientists, data engineers and designers to understand product requirements and translate them into technical specifications.
• Design and develop full-stack solutions, including user interfaces, APIs, data processing and storage.
• Implement data visualization components using modern front-end frameworks and libraries.
• Develop scalable and efficient back-end services to handle data from multiple data source with complex business logic.
• Optimize application performance and ensure high availability and reliability.
• Conduct code reviews, ensure seamless deployment and testing of the data products and provide constructive feedback.
• Stay updated with the latest industry trends and best practices in full-stack development, data engineering, and data visualization.
• Troubleshoot and resolve issues reported by users, ensuring a smooth user experience.
• Continuously improve software development processes and contribute to the overall technical excellence of the team

• Bachelor's or master's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of professional experience as a Full Stack Engineer, with a focus on datadriven applications.
• Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (e.g., React is preferred as we use React in our team).
• Expertise in server-side programming languages such as Node.js, Python or Java.
• In-depth knowledge of databases and SQL, with experience in designing and optimizing data models.
• Familiarity with data processing frameworks (e.g., Apache Spark) and big data technologies (e.g., Kafka) is a plus.
• Solid understanding of RESTful APIs and microservices architecture.
• Experience with cloud platforms (e.g., Azure, AWS) and containerization technologies (e.g., Docker, Kubernetes).
• Proficiency in version control systems (e.g., Git)
• Excellent problem-solving skills and the ability to debug complex issues in a distributed system.
• Strong communication skills and the ability to work effectively in a collaborative team environment.
• Prior experience working on data products or analytics platforms is highly desirable.

Just ORD-ed or graduated and looking to kickstart your career? Join us at Euphoria! We are a sales and marketing powerhouse which partners with well known clients to generate revenue for them. If you love tackling challenges with a smile and thrive in a lively environment, we want you to be part of our adventure!

Why Us?

Transformative Culture - We foster an environment where passion and innovation thrive. You'll work alongside vibrant & forward-thinking individuals who are committed to making a difference.

Career Growth - Your success is our utmost priority. With clear-cut stages of advancements and trainings, your progress trajectory will be defined and limitless.

Take To The Skies - We never limit ourselves locally. Gain exposure by going on different trips globally and getting insights on how to further grow oneself.

What You'll Do

Sales - Drive numbers up and achieve monthly & quarterly targets.

Grow - Manage a team of visionaries to develop and execute different marketing strategies.

Lead - Take up new clients and projects, be the face of them to assist with onboarding processes.

Ready To Make Your Mark?

If you're ready to join a team that values your expertise, celebrates your achievements and allows you to maximise your potential, apply now and become a part of Euphoria!

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

As a Senior Frontend (Full Stack) Engineer, you will be responsible for designing, developing, and maintaining our data product suite. You will work closely with cross-functional teams including data scientists, data engineers, and UX/UI developers to create scalable, robust, and user-friendly applications. Your expertise in both front-end and back-end development will be crucial in implementing innovative features and ensuring seamless integration between different components of our data products. This role requires strong problemsolving skills, a deep understanding of data processing and visualization techniques, and a passion for delivering high-quality software solutions.

Responsibilities

• Collaborate with product owner, data scientists, data engineers and designers to understand product requirements and translate them into technical specifications.
• Design and develop full-stack solutions, including user interfaces, APIs, data processing and storage.
• Implement data visualization components using modern front-end frameworks and libraries.
• Develop scalable and efficient back-end services to handle data from multiple data source with complex business logic.
• Optimize application performance and ensure high availability and reliability.
• Conduct code reviews, ensure seamless deployment and testing of the data products and provide constructive feedback.
• Stay updated with the latest industry trends and best practices in full-stack development, data engineering, and data visualization.
• Troubleshoot and resolve issues reported by users, ensuring a smooth user experience.
• Continuously improve software development processes and contribute to the overall technical excellence of the team

• Bachelor's or master's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of professional experience as a Full Stack Engineer, with a focus on datadriven applications.
• Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (e.g., React is preferred as we use React in our team).
• Expertise in server-side programming languages such as Node.js, Python or Java.
• In-depth knowledge of databases and SQL, with experience in designing and optimizing data models.
• Familiarity with data processing frameworks (e.g., Apache Spark) and big data technologies (e.g., Kafka) is a plus.
• Solid understanding of RESTful APIs and microservices architecture.
• Experience with cloud platforms (e.g., Azure, AWS) and containerization technologies (e.g., Docker, Kubernetes).
• Proficiency in version control systems (e.g., Git)
• Excellent problem-solving skills and the ability to debug complex issues in a distributed system.
• Strong communication skills and the ability to work effectively in a collaborative team environment.
• Prior experience working on data products or analytics platforms is highly desirable.

COMPANY DESCRIPTION

As the world's leading owner and operator of LPG carriers with five decades of operating experience, BW LPG promotes competitive, sustainable solutions to secure value for society and our stakeholders.

Our global footprint spans seven countries with 17 nationalities represented across our workforce. Our fleet of 39 Very Large Gas Carriers (VLGC) offer a total carrying capacity of over 3 million CBM. From spot voyages and time charters to Contracts of Affreightments (CoAs), our emphasis on flexible, reliable service has earned the trust of leading oil companies as well as trading and utility companies. More information about BW LPG can be found at www.bwlpg.com.

BW LPG is associated with BW Group, a leading global maritime company involved in shipping, floating infrastructure, deepwater oil & gas production, and new sustainable technologies. Founded in 1955 by Sir YK Pao, BW controls a fleet of over 490 vessels transporting oil, gas and dry commodities, with its 200 LNG and LPG ships constituting the largest gas fleet in the world. In the renewables space, the group has investments in solar, wind, batteries, biofuels and water treatment. BW LPG, as a member of the BW Group, is one of Forbes World's Best Employers 2023.

RESPONSIBILITIES

Summary:

The Senior Data Engineer has a role focusing on building our modern Lakehouse including owning pipeline development, data modeling and governance within a cross-functional team responsible for the end-to-end delivery of data products and analytics solutions.Additionally creating CI/CD pipelines for automated deployments and monitoring, and enforce data quality checks, ensuring data consistency, reliability, and compliance.

Key Responsibilities:

Working with Product Owners, Business Analysts and Data Analysts to ensure business requirements are translated into data solutions, deliver accurate and reliable datasets that enable impactful analytics and dashboards.

They collaborate with System Analysts and the Business to understand the business logic and data lifecycle within our systems and inform our solution design with a goal of balancing scalability and performance.

Skills:

• Collaboration and Communication Skills: Excels at working in a team to align data solutions with business needs, focused on creative problem-solving in a fast-paced environment.
• Analytical Thinking & Communication: Strong skills in analyzing and translating data-driven insights and requirements to both technical and non-technical stakeholders.
• Spark & Azure Databricks: Proficiency in designing and implementing data pipelines to support reliable data ingestion and transformation using Databricks and Spark.
• Data Modeling Expertise: Advanced SQL and Python skills for complex queries and data modeling, enabling efficient data access and transformation.
• CI/CD Pipeline Creation: Experience in creating CI/CD pipelines, enabling automated testing, validation, and deployment of data pipelines models using GitHub and GitHub Actions with Databricks.
• Infrastructure as Code: Experience in automating cloud infrastructure management for consistent deployment and scaling using tools like Terraform.

• 5+ Years in Data Engineering: Proven experience building and maintaining data infrastructure, with a deep understanding of data engineering principles and best practices.
• Agile Mindset and Experience: Thrives in Agile Environments, with a strong resilience, adaptability and responsiveness to change in fast-paced settings.

The position will be based in Singapore.

Only shortlisted candidates will be notified.

Note: Internally, the role is known as a Lead Business Consultant or Principal Business Consultant (Data & Comms).

The position

The APAC Market Unit is looking to identify high calibre, professional consultants across all levels to join a newly formed client team (4 days per week, 1 day from SimCorp office / home). This is not a traditional Simcorp consulting engagement where you just deliver a solution. You will have the ability to work within a highly regarded customer business participating in the delivery of solutions using a wide variety of tools that are part a leading-edge agile tech platform. You should be prepared to be rewarded with a rich development opportunity whilst flexing and growing your existing knowledge of the Simcorp One platform.

This is a unique experience to partner with one of the world's leading Sovereign Wealth Funds. The team of consultants will have an integral part in achieving customer satisfaction and accelerating our client’s projects to success.

We are looking for consultants to join the team in early Q1 2025 and will consider, Principal or Lead Business Consultants to act as Ambassadors for SimCorp, delivering top class client service for the duration of this project.

Previous experience working with SimCorp Dimension is essential.

In the role of Software Development Manager, Data & Comms, you will be expected to take an active role in the Data & communications service line to improve the implementation, expertise, and advisory capability of Data & Communications consultants within our market unit and beyond. Of particular importance will be working with the Data & Communications service line team on the increased adoption of robust communications server and Datawarehouse / Snowflake solutions

Key responsibilities

• Oversee the development of SimCorp Dimension® to the client’s platform
• Monitor the results and quality of SimCorp Dimension® implementation to the client’s platform
• Oversee the development of solutions and provide technical expertise on the development of SimCorp Dimension® and its features, ensuring that appropriate security and risk factors are considered
• Assist the client to achieve full business value in their implementation
• Designing client specific solutions based on SimCorp standard systems and offerings.
• Act as a trouble-shooter when difficult technical issues occur.
• Act in the capacity of an extension of the customers business driving successful outcomes in an efficient manner.
• Potentially responsible for mentoring other employees.
• Consultants will participate in all aspects of implementation, including design, configuration, integration, and training.
• Depending on areas of expertise, consultants will be made responsible for one or more streams in the project
• Advising on process improvements through better use of Dimension.

What we value

Most importantly, you can see yourself contributing and thriving in the position described above. How you gained the skills needed for doing that is less important. We expect you to be good at several of the following and be able to - and interested in - learning the rest.

• Asset Management – Front, Middle or Back Office workflow understanding
• Methodical, hardworking, enthusiastic and an ability to work well under pressure.
• Expertise in the Connectivity and Data domains to work on projects in APAC assisting with the implementation of SimCorp Dimension at asset managers, fund managers and central banks.
• Client implementation experience and knowledge of 3rd party tools, such as SQL, middleware, general integration and data transformation are also required.
• Certification in advanced connectivity and in-depth knowledge of: communication server, filter toolbox, and data extractor are required.
• Additional knowledge of SC BI, CORIC, SC DWH (and or Snowflake) would be an advantage.
• Very good communication and consulting skills
• Strong sense of ownership and accountability
• An attitude to make things happen and an ability to work under pressure to manage successful outcomes for Simcorp and the customer.

Benefits:

In addition to the traditional benefit scheme, we provide a good work & life balance and opportunities for professional development: there is never just only one route - we offer an individual approach to professional development to support the direction you want to take. Visit our career pages to learn more about working at SimCorp: www.simcorp.com/career

Since SimCorp operates in 20+ offices worldwide, the benefits package may vary from country to country.

Next Steps

Please click below to apply and to learn more about the vacancy and what SimCorp offers regarding salary, benefits, and perks.

Please note only applications sent through our system will be processed. Applications are continuously assessed, so please send your CV in English as soon as possible. If you are interested in being a part of SimCorp but are not sure this role is the right fit, submit your CV anyway. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to help you discover the right role for you. The approximate time to consider your CV is three weeks.

We are eager to continually improve our talent acquisition process and make everyone’s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated.

By Joining our team, you will have the chance to:

• Become part of a thriving company comprising collaborative, curious, courageous, and capable employees
• Explore a multitude of exciting learning and development opportunities, supported by our unique learning guild
• Engage with highly skilled and supportive colleagues, each bringing their diverse backgrounds and perspectives
• Join a company that not only values but actively advocates for Diversity, Equity, and Inclusion, fostering a truly inclusive and empowering environment

Our client is a global leader specializing in high-performance cooling systems, gaming peripherals, and PC components.

Overview:
We are looking for a driven and experienced Quality Manager to oversee quality assurance efforts in the field of thermal solutions for cloud data centers. This role is key to maintaining product excellence through effective quality control systems, fostering continuous improvement, and leading a collaborative team. If you have a strong passion for quality management and thrive in dynamic environments, this opportunity is for you.

The incumbent will be based in Hanoi for more than 6 months per year as part of the company's expansion plans and setting up of a manufacturing facility in Vietnam.

Key Responsibilities:

• Quality Assurance & Yield Optimization:Establish advanced monitoring systems to maintain product quality and optimize yield.
  Identify and execute strategies for improving overall product performance.
• Managing Quality Issues:Address and resolve abnormal quality issues within the manufacturing process.
  Work with cross-functional teams to develop and implement preventive measures.
• Process & Quality Improvement:Enhance internal quality control and improve process capabilities.
  Apply best practices to streamline workflows and maximize efficiency.
• Customer-Focused Quality Management:Lead efforts to resolve customer-reported quality issues, providing detailed corrective action plans.
  Share preventive recommendations with stakeholders to prevent recurrence.
• Inspection & Technological Advancements:Optimize quality inspection processes by integrating automation and advanced tools.
  Drive efficiency improvements in inspection planning.
• Collaborative Communication:Foster effective communication and alignment across departments to support quality objectives.
  Act as a bridge between teams to ensure cohesive quality management strategies.
• Team Leadership & Development:Manage team responsibilities, performance, and task assignments.
  Implement training programs to enhance the team's expertise and skills.
• Project Supervision:Oversee timely delivery of tasks and ensure adherence to quality standards and deadlines.

Qualifications:

• Bachelor's degree and above in a relevant field.
• Proven expertise in quality management, particularly in manufacturing processes.
• Strong analytical and leadership skills with effective problem-solving capabilities.
• Proficiency in quality management systems and standards.
• Excellent communication and team collaboration abilities.
• Certifications in quality management (e.g., Six Sigma) are an advantage.
• Willingness to travel and be based overseas at the manufacturing facilities (~6 months a year)

This role offers an exciting opportunity to lead quality assurance efforts in a fast-evolving sector while driving impactful improvements and fostering innovation.

Interested applicants, please click on "apply" with your updated resume attached.

Thrive Organisation is looking for the most outstanding candidate to represent the clients we work partner with, providing fitting solutions to meet specific requirements and drive results.

We are looking for people who will “walk the talk”. There is no such thing as a mundane routine here! Be prepared for an unparalleled environment!

Why choose us?

1. Career Development

* We are determined to provide you with the necessary resources, mentorship, and growth opportunities to fuel your professional advancement

2. Travel Opportunities

* We encourage collaboration among our offices and teams worldwide. As a result, team members may have opportunities to work on projects that involve travel to other cities or countries, fostering a deeper understanding of diverse cultures and business practices

3. Personal Growth

* We offer a wide range of learning and development opportunities, including workshops, training sessions, and mentorship programs. We believe that growth happens when we push our boundaries

Who are we looking for?

* A growth mindset - the belief that abilities and intelligence can be developed through dedication and hard work

* Team members with the attitude that is more likely to share knowledge, seek guidance from others, and contribute to a supportive and knowledge-sharing culture within the organization