Responsibilities:

• Deliver data centre operations support across multiple data centres

• Respond to all alarms/alerts set in Data Center Infrastructure Management (DCIM), Server Automation Operations System (SAOS), CCTV, Access Control Systems (ACS), and other functions (EHS, Security, etc),

• Provide deep understanding and intelligence of the criticality and impact of the incidents to the resolver groups.

• Ensure detailed records of alarm handling activities, including actions taken, resolutions in ticketing tools and file incident reports.

• Be available to coordinate as an incident commander in event of an issue.

• Support program managers and facilitate project deliverables, improve overall operational and engineering initiatives.

• Conduct root cause analysis (RCA) to determine recurring problems to their source.

• Employ in-depth questioning and analysis techniques such as five whys to determine the underlying cause of the incident or problem.

• Handle ticketing system

• Perform duties in compliance with SOP.

Requirements:

• Diploma/Degree in Information Technology.

• 2 years+ experience in command center, service center, or similar 24x7 operations center environment

• Ability to quickly triage multiple incidents and assign the right priority based on risk and confidence levels

• Knowledge of technical elements associated with systems such as IP Networks, DC Environment and Server Health.

• Outstanding verbal and written communication skills required, work with minimal direction, meeting goals, attention to details and an eye for continuous improvements

• Ability to successfully interact at all levels of the organization, including with clients, while functioning as a team player required.

• Basic working knowledge of data protection policies such as GDPR and the need to keep sensitive information secure.

Job Responsibilities

1. System Integration

• Interface with WhatsApp Business API and Help Desk systems to support message reception, distribution, and routing.
• Develop middleware for messaging to optimize cross-platform data synchronization and system communication efficiency.
• Integrate external APIs (e.g., flight, weather, hotel data) to provide clients with dynamic content.
• Ensure efficient data flow across systems, enhancing collaboration between systems and messaging services.

2. Knowledge Base Management and Optimization

• Build and maintain business knowledge bases, including playbooks, FAQs, and product information, ensuring data accuracy and timeliness.
• Optimize the knowledge base using vectorization techniques (e.g., embeddings) and Retrieval-Augmented Generation (RAG) to enhance contextual support for LLMs.
• Develop tools for automated knowledge base updates, supporting multi-language and dynamic content management.
• Collaborate with the NLP team to create efficient knowledge retrieval pipelines, enabling precise business context support for LLMs.

3. Data Stream Processing and Analysis

• Design and implement data pipelines for comprehensive workflows from collection, cleansing, storage, to analysis.
• Build real-time stream processing systems (e.g., Kafka or RabbitMQ) to ensure low-latency and high-throughput message transmission.
• Develop data monitoring tools to provide insights on performance, usage reports, and issue diagnostics.

4. LLM Support and Expansion

• Collaborate with the NLP team to optimize input data processing and context enhancement for LLMs.
• Provide API interfaces seamlessly integrated with the knowledge base, supporting multi-turn dialogues and complex task management via LLMs.
• Support future LLM projects, including multi-language conversations, sentiment analysis, and dynamic recommendation features.

5. Technical Support and System Optimization

• Optimize existing system architecture to enhance data flow and message processing efficiency.
• Diagnose and troubleshoot system issues to ensure high availability and stability.
• Participate in technical evaluations and introduce new technologies to deliver innovative solutions for business needs.

Job Requirements

1. Technical Skills

• System Integration:Proficient in RESTful API and Webhook development, capable of interfacing with WhatsApp Business API and Help Desk systems.
  Skilled in message queue tools (e.g., Kafka, RabbitMQ) to optimize message distribution and routing.
  
• Data Processing and Knowledge Base:Familiar with vector search technologies (e.g., FAISS, Elasticsearch) with experience in building and optimizing knowledge bases.
  Proficient in designing and optimizing SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
  
• Stream Processing and Automation:Experienced with real-time stream processing tools (e.g., Apache Flink, Apache Kafka Streams).
  Familiar with data pipeline tools (e.g., Apache Airflow, Luigi).
  
• LLM Support:Understand the fundamentals of large language models (e.g., GPT-4) and support RAG-based context-enhanced generation.
  NLP project experience is a plus.
  

2. Work Experience

• Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or related fields.
• At least 3 years of experience in data processing, system integration, or backend development.
• Experience with distributed systems or knowledge base management is preferred.

3. Soft Skills

• Learning Ability: Passion for LLM and AI technologies with the ability to quickly grasp new skills.
• Cross-Team Collaboration: Capable of efficient collaboration with NLP, front-end development, and business teams.
• Problem Solving: Strong analytical skills to address complex system issues.
• Responsibility: Ability to independently drive project progress and deliver high-quality results.

Bonus Points

• Experience integrating WhatsApp Business API and Help Desk systems (e.g., Odoo, Zendesk, Freshdesk).
• Familiarity with vector databases (e.g., Pinecone, Weaviate, Milvus) or cloud services (AWS/GCP/Azure).
• Expertise in developing multilingual knowledge bases.
• Experience with large-scale system optimization or distributed system development.

Job Summary :

• Our Data Scientists use their domain expertise to identify where AI can speed up operations, reduce costs, increase productivity, personalise the client experience; and build and deploy AI models. We’re looking for brilliant minds who are intellectually curious, analytical and willing to learn, with a numerate background in AI, mathematics, engineering, sciences or related disciplines.
• Our Data Scientists use their domain expertise to identify where Artificial Intelligence (AI) can speed up operations, reduce costs, increase productivity and personalise client experiences. We’re looking for brilliant minds who are intellectually curious, analytical and love to learn.
• About our Digital Channels & Data Analytics (DCDA) team
• They support our corporate clients, by creating a more equitable, sustainable, and prosperous future for clients and global communities through technology, data and digital. They’re responsible for being an expert in digital products and services and partner with our sales and coverage teams.

About Corporate & Investment Banking (CIB)

• For more than 170 years we’ve support clients with their transaction banking, financial markets, corporate finance and borrowing needs and provide solutions to nearly 20,000 clients in the world’s fastest-growing economies and most active trade corridors.

Key Responsibilities

• Partner with stakeholders including our sales team, relationship managers, traders and leadership to understand where AI can optimise our business.
• Translate business requirements into AI solutions using Quantum Machine Learning techniques and define tangible, measurable and commercial success criteria
• Mine large sets of data to uncover trends, insights, and opportunities from multiple internal and external data sources.
• Enhance data collection methods through augmentation, normalisation, and outlier removal.
• Recommend appropriate AI solutions and train AI models.
• Deliver self-service dashboards to report on business use case and success criteria.
• Use data visualisation for predicted outputs and insights and to translate complete analytics into business language.
• Embed a framework of continuous monitoring to deployed models and solutions, for continuous enhancement.

Our Ideal Candidate

• Experience and education in AI, Mathematics, Engineering, the Sciences, or related discipline
• 3 + Years of experience in Predictive models, Quantum machine learning algorithms and large language models
• Data visualisation tools, including Matplotlib, Plotly, Power BI and Tableau.
• Natural Language Processing (NLP).
• Financial mathematics

Role Specific Technical Competencies

• Python programming.
• Financial mathematics.
• Time series analysis.
• Data governance and management.
• AI regulatory compliance.
• AI techniques utilizing quantum machine learning.

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

This internship offers hands-on experience working on data science projects for our clients. As an intern, you'll gain valuable skills in understanding client business needs, data preparation, data analysis, and using machine learning models to derive insights. You'll work closely with our clients under the guidance of experienced professionals.

Our Data Science Internship program has the potential to lead to a permanent position at our company. The minimum duration of the internship is six months.

We're looking for final year students currently pursuing degrees in Computer Science/Data Science, Statistical Mathematics, Engineering, Actuarial Science, or related fields with a strong background in data science. Proficiency in SQL and Python programming is required, and familiarity with Hadoop, Sparks, and its libraries is preferred.

Experience with Graph Databases like Neo4j or AWS Neptune is a plus.

We're seeking enthusiastic learners with strong analytical and problem-solving skills, good communication skills, and a customer service attitude. You should enjoy working in a team and be able to commit to a six-month internship.

At BioQuest, we value collaboration, teamwork, and knowledge sharing. Our culture is supportive and inclusive, with a strong emphasis on ethics and diversity. You'll have opportunities to learn about emerging technologies, receive mentorship from experienced consultants, and work in a supportive and collaborative environment. For high performers, there is an excellent career growth path.

Responsibilities:

This role will be responsible for a variety of data center functions, including:

• Assist with incident, change, and problem management
• Manage Data Centre inventories – equipment, testers, consumables, etc.
• Fault troubleshooting and rectification
• Support Planned Activities such as network / facilities upgrade, new installation
• Maintain documentation / records, procedures and communication
• Manage & Supervise subcontractors and third-party vendors
• Project Management for special network & facilities implementation
• Compliance with standards of Data Center – PCI-DSS & ISO27001
• Implement physical security access control
• Handle customers’ requirement such as delivery acceptance, remote hand supports, etc.
• Handle customers’ order such as provisioning of cages, racks and cross connects
• Monitor and supervise data centre facilities maintenance
• Review and improve operational processes
• Able to perform day and night shift duty
• Work directly with the Global Service Operations Center, Global Service Desk, Security, and Facilities Management teams to maintain data center hosting integrity, during provisioning and troubles resolution
• Work closely with various departments such as DC Engineering, Sales and Finance
• Work closely with colocation clients to ensure their remote hand requests are carried out & met
• Work closely with security and facility team to deliver good customer experience and to ensure our SLAs are met

Requirement:

• Degree or Diploma in Engineering, Data Centers, Telecommunication, IT discipline
• 2 - 4 years’ experience in Data Centers or similar environment experience.
• Knowledgeable of building facilities Electrical & Mechanical (HVAC, CCTV, security access, BMS Fire protection system).
• Knowledge of PCI-DSS & ISO 27001
• Relevant network certifications (e.g. CCNA, CCNP)
• Establish and maintain effective working relationships with peer groups and key internal stakeholders and maintain agreed external stakeholders relationships relevant to the achievement of business objectives
• Knowledge of test equipment such as circuit tester, Optical Power Meter etc.
• Knowledge in using Data Center Infrastructure Management Systems & Building Management System
• Project & Inventories Management
• Strong process, procedural, analytical and problem-solving skills
• Good customer facing skills
• Able to works shifts and under minimum supervision
• Able to work independently and under stress
• Excellent interpersonal, influencing and negotiation skills.
• Excellent written and verbal skills required
• Able to do shift work (12 hours)

Responsibilities:

• Support the validation and updating of global employee data onto SAP.
• Liaise with global HR Administrator providing coaching and direction as required
• Liaise projects to identify, correct and re-engineer HR processes to ensure quality data
• Liaise mass data change projects and processes
• Maintain currency of documented processes
• Administration, analysis and tracking of system access requests for HRIS (SAP HR), HRMR (HR Measurement & Reporting), Talent Link modules and Workforce Analytics (WFA)
• Daily oversight of the HR Data mailbox (intake/triage), including issues and escalations as required
• Ensure data access authorisations in accordance with privacy controls
• Develop requirements documentation and conduct analysis of HR data access system change requests (SCRs) with impacted areas/owners
• Raise awareness of system access gaps, risks or concerns to management & SAP security team to arrive at a sound business solution
• Empower self-sufficiency with data apps provided to any number of end users
• Create a knowledge base for your team, department, or entire organization. Build and share reusable workflows as best practices or starter kits for beginners

Requirements:

• Minimum bachelor’s degree and Freshers/experience with good Knowledge or experience in Knime.
• Proficient in Knime modules.
• Ability to speak and write in Chinese as the incumbent requires to liaise with the China HQ counterparts/personnel for work or project related matters

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

Job Description:

1. Monitor and maintain critical data centre infrastructure, including power distribution systems (UPS, generators), HVAC systems, fire suppression systems, and access control systems.
2. Perform preventive maintenance on data centre equipment and systems.
3. Respond to alarms, troubleshoot issues, and ensure prompt resolution.
4. Liaise with the building landlord to coordinate maintenance schedules, address building infrastructure issues, and ensure compliance with safety regulations.
5. Support off-office hours activities, including responding to emergency alarms, performing on-call duties, and coordinating with vendors for emergency repairs.
6. Ensure strict adherence to data centre physical security procedures.
7. Follow documented incident response procedures, track incidents to closure, and communicate with stakeholders.
8. Generate reports to management, including monthly performance reports, incident summaries, root cause analyses, and status reports on ongoing projects.

Qualifications:

1. 3+ years of experience in data centre facility management.
2. Experience working in a 24x7 mission-critical environment.
3. Strong knowledge of electrical and mechanical systems in data centres.
4. Experience with fire suppression systems and access control systems.
5. Proficiency in troubleshooting and problem-solving.
6. Excellent communication and interpersonal skills.
7. Must have prior experience working in data centre operations in financial institutions.

Interested candidates may apply through the application system. We regret to inform only Shortlisted candidates will be notified.

EA License No. 01C4394 • RCB No. 200007268E •Derrick Tiew Yong Han EA Registration No. R1877971

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.

Job Responsibilities:

Responsible for designing and maintaining data architecture and pipeline in support of AML uplift analytics needs; support seamless deployment of AML uplift analytical models into UOB’s production environment.

Responsibilities and Activities:

• Create, build, and maintain the data infrastructure required for Extraction, Transformation and Loading of data from a wide variety of sources.
• Ensure high-quality data is delivered to support Compliance / FCC model development.
• Support the implementation of Data Analytics / Automation for Compliance teams and Business stakeholders.
• Liaise with relevant stakeholders (e.g., Data Management Office) to identify and assess suitability of data for Compliance / FCC Data models.
• Liaise with Business stakeholders / analysts and ensure assembled data assets used for model development meet business requirements.
• Build & maintain data dictionaries / data requirements of implemented data models and coordinate with Data Scientist(s) in developing model narratives.
• Monitor the execution & performance of data models and liaise with IT for any technical / system outages.
• Keep track of datasets / tables in the working schema and support purging of unused tables periodically.
• Perform data analysis required to troubleshoot data related issues and support the resolution of raised data issues.

Job Requirements:

• 3-5 years of experience working in a data engineering and / or data operations role, ideally in the financial services industry.
• Proficiency in Python/ Spark and SQL to code complex data engineering use cases.
• Experience with schema design and dimensional data modelling.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Familiarity with Agile methods and tools like JIRA
• Ability to create and maintain production read data pipeline
• Strong people skills and take a big picture approach to planning
• Strong communication skills to interact with data scientists, business end-users, and possibly external vendors to design and develop data solutions.
• Bachelor’s degree in Computer Science Computer Engineering, IT or equivalent.

Process the day-to-day operations to:

• support document management, data maintenance
• meet agreed SLA, and Staff Efficiency & Productivity targets

Responsibilities

BAU

• perform document and data extraction
• prepare letter/email draft for sign off
• maintain registers
• liaise and follow up with business units

Administration

• ensure the smooth and efficient day-to-day operations
• perform general clerical functions (including data maintenance, filing documents)

Requirements

• a diploma in any field
• banking experience in similar capacity preferred
• AML knowledge is advantageous
• independent, able to work with minimum supervision
• detailed and meticulous

The Opportunity:

• Experience in Hyperscale Data Center Project Mangement
• Office location: Central.
• Work hours: Mon to Fri
• $6,000 - $10,000 + Bonus

Adecco is partnering with a Global Data Center Owner to look for professional and confident Project Manager to handle internal stakholders and external parties to complete the Hypserscale Data Center within the regions.

The Job:

• Project Leadership: Plan, lead, and coordinate data center projects across all phases, from design and construction to operational handover, ensuring seamless execution from inception to completion.
• Technical Expertise: Leverage deep knowledge of data center infrastructure and construction processes to drive successful project outcomes.
• Project Management: Oversee project timelines, budgets, and quality to ensure delivery aligns with company objectives and industry standards.
• Stakeholder Engagement: Facilitate effective communication with diverse stakeholders, ensuring alignment and collaboration throughout the project lifecycle.

The Talent:

• Degree in Engineering/Project Management/Information Technology or technical field
• 5 years project management experience in hyperscale data center
• Knowledge in TIA-942, Uptime Institute Tier Standards, and LEED for data center project
• PMP/Prince 2 AND CDCP/DCDP is a bonus

Next Step:

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

Job Descriptions:

1. Arrange and discuss with users to understand the reporting requirement, and document down the requirements into technical specification or mappings for development team to deliver

2. Identify the source data required for creation of the reports and dashboards, interpret the data to understand the relationship of different datasets

3. Facilitate the computerization of analytics and data collection processes

4. Collaborate with source system PICs to establish the data connection and data feeding automation

5. Work closely with existing Data Warehouse team to bring the data into DWH system for reporting and dashboarding

6. Carry out complex analysis of datasets and conduct appropriate data validation

Key skillset:

1. At least 3 to 5 years experience in BA, interfacing with Technical team and Business team

2. Knolwedge / Exeriece in Power BI , Qlik and data analytics is preferable

3. Banking knowledge and able to understand the corporate banking, trade finance

Responsibilities:

• Ensure accurate static data maintenance for clients such as creation of client accounts and upkeep client information
• Process closure of client and counterparty accounts
• Conduct name searches as requested by management
• Process e-banking applications / modifications / cancellations for clients
• Manage Hold Mail services provided to clients

Requirements:

• Degree with 1-2 years of experience in banking
• Previous experience in static data maintenance for client is highly preferred
• Good knowledge of account documentation requirements
• Basic hands on experience in Excel / Access based automation (e.g. Macros) to improve efficiency would be an advantage

Please state your availability, current and expected salary in the resume.

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | Sarah Kuan | Registration No: R1105359

Benefits Summary:

• Up $5600 + Variable Bonus + Benefits
• 5 Days work week
• Working Location: North
• MNC with good working environment

Responsibilities:

• Overseeing the implementation, maintenance, and optimization of marketing technology platforms, such as CRM systems, analytics software, and automation tools
• Analyzing marketing and customer data to generate insights and improve campaign performance
• Using tools like Zapier, AppScript, and RPA to streamline marketing processes
• Staying updated on MarTech trends and testing new solutions to improve marketing performance
• Any ad-hoc duties as required

Interested candidates, 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].

Follow us on Facebook for more info:
https://www.facebook.com/EC-Recruitment-Pte-Ltd-113771667194961/

Our dedicated and approachable E&C consultants will get back to you soon for a confidential discussion.

By submitting your application or resume to us, you will be deemed to have agreed and consented us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.

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

Edward TOH
Registration No: R1658602
EA License No: 20C0278

5days ,permanent, Aljunied

Product

Heating , ventilation, air conditioning (Hvac)solution for data center

Our client

MNC in air conditioning and humidification system solution serving high tech industry

Years in business : > 70 years worldwide

Area of business: Global

Job scope

· To design and draw HVAC solutions, to perform heat load calculations for clients.

· To visit site and attend to meetings with clients

· Submission of project specifications and certifications for client's approval.

· Sourcing of competitively priced equipment for the project

· To see through successful completion of project from inception to commissioning.

Requirements

· Min Diploma in Electrical/Mechanical/Electronic

· 2Years experience in HVAC design, installation ,commissioning works.

· 2 years experience in data center hvac project management

· Proficient in Auto-cad interpretation of job site drawings.

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

Our Team

As the Loans Data team, we are responsible for the aggregation, enhancement, transformation and management of all loans data on the Bloomberg terminal. When firms look to raise money in the capital markets, we connect them to lenders & investors providing monitoring, pricing and risk management information. We capture, model and store all information related to the loan, including reference, pricing and covenant information, as well as any events that happen over the lifecycle of an instrument such as refinancing, repricing, reinstatement & amendments and bankruptcies. Our Data Analysts possess a unique combination of subject-matter-expertise in Fixed Income, good communication skills and ability to build relationships with various partners, as well as interest in technology or data management related tools.

What’s the role?

We are looking for a highly motivated individual with a passion for finance, data, and technology to enhance value from our data products. As a Senior Data Analyst on the Loans Data team, you will play a key role in expanding Bloomberg's loans databases to further deliver an industry-leading data product offering. We will trust you to use your relationship management skills to procure and maintain existing content provider relationships and generate market insights to promote Bloomberg’s brand and loan data, and problem-solving skills to manage the workflow of extracting, transforming and loading of timely, accurate and comprehensive data.

You will be involved in improving the data quality of our loans database to ensure that it meets our customer’s needs and ensure data is fit for purpose. You will collaborate closely with global team members, domain experts, market players and business partners, managing priorities of different initiatives and using industry knowledge to help drive decisions and generate new dataset offerings. You will work to identify innovative workflow efficiencies and implement technical solutions to enhance our systems, products and processes. You will bring a unique combination of subject-matter-expertise in Fixed Income, good interpersonal skills, and a passion for problem solving to address our clients’ needs.

We'll Trust You To:

• Understand our customers’ needs and markets to ensure data is fit for purpose, ready for use, and meets service level agreements (SLAs)
• Collaborate with a wide variety of partners from Engineering to Sales on product development and implementation
• Improve our data quality through implementation of quality control strategies including development of quality control rules
• Combine domain expertise and technical skills to generate insights
• Balance the best of technical and product knowledge to implement solutions for customers
• Promote, market and brand Bloomberg loans datasets and products to both internal and external partners
• Proactively support customers by helping them interpret data and predicting their follow-up questions/needs
• Apply problem-solving and data analysis skills to identify innovative workflow efficiencies and implement technology solutions to enhance our ETL processes/overall product strategy

You’ll Need to Have:

• Bachelor’s degree in Finance, Accounting, Statistics, Business, STEM, or related field/equivalent experience
• Excellent written and verbal communication skills in English
• Demonstrated continuous career growth within an organization
• 4+ years of relevant work experience in the financial services industry, including exchanges, market data providers or financial institutions
• Experience in data management, for example improving data quality, accuracy, efficiency or timeliness
• A proven track record of successful project management skills and prioritizing tasks accordingly
• Experience taking a logical approach and apply critical thinking skills in order to solve problems
• Experience working autonomously, handling priorities from multiple internal and external partners

We’d Love to See:

• Previous work experience with the Bloomberg Terminal or Bloomberg Market Concepts certification
• Knowledge of statistical analysis and demonstrated applied data analysis skills, with proficiency using Excel as well as experience with SQL or Python
• Experience using data visualization tools such as Tableau, QlikSense or Splunk
• Experience transforming workflows into more timely and efficient processes

If this sounds like you:

Apply if you think we're a good match. We’ll get in touch to let you know what the next steps are.

Bloomberg is committed to improving the communities, cities and countries in which we work, and we support various initiatives including hiring and developing local talent. So, we may prioritise candidate with legal authorisation to work full-time in Singapore for this role, who do not require Bloomberg to sponsor their work authorisation.

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

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

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

We regret that only shortlisted candidates will be notified.

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.

As part of our team, you can look forward an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.

https://nusit.nus.edu.sg/

Job Description

We are seeking an experienced Data Engineering Lead to oversee the data engineering team in NUS.

The role will be responsible for leading and guiding teams in the development of high-quality data lakehouse, ensuring they meet business needs and align with NUS strategic goals. The role will also ensure the proper implementation across all stages of the data lifecycle

This role will manage a team of 6 data engineers handling ELT/ETL framework and end-to-end data pipelines from various source systems to data lakehouse with a plan for future growth.

This is a hands-on leadership role and the candidate should have been on active hands-on development at least 5 years prior.

Duties and Responsibilities

Technical Expertise
• Participate in the technical design of data platforms and their technologies, including their framework, architecture, standards, and guidelines.
• Provide technical guidance and expertise to the team, helping to solve complex technical challenges.
• Stay updated about emerging technologies and industry trends to drive innovation within our organization.
• Ensure adherence to best practices in design, development, testing, and maintenance.
Leadership and Team Management
• Lead and mentor the team, fostering a culture of innovation, collaboration, and excellence.
• Provide direction and guidance to the team in managing the full data lifecycle.
• Perform Scrum Master role for the team.
• Develop and implement strategies to enhance team’s performance and productivity.
• Foster collaboration and high-performance culture within the team.
Delivery Management
• Ensure timely and high-quality delivery, aligning with project objectives, scope, and timelines.
• Oversee the design and implementation of data lakehouse to meet the university’s needs.
Quality Assurance
• Implement quality control and testing procedures to guarantee the high-quality delivery.
• Ensure data lakehouse aligns with the university's regulatory and compliance requirements.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 7 years of experience in technical leadership roles, with a strong emphasis on data lakehouse and data engineering solutions.
• Proven ability to lead data engineering teams, promoting collaboration and achieving project objectives.
• Strong problem-solving and critical-thinking skills, with a proven track record of effectively addressing technical challenges and risk mitigation.
• Strong knowledge of quality assurance processes, encompassing testing methodologies, and quality control procedures.
• Relevant experience in designing, developing, and supporting data lakehouse and data engineering solutions.
• Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors.
• Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit.

Technical Expertise
• Strong working experience in end-to-end development of data lakes and data warehouses, preferably with experience in Informatica.
• Strong working experience in Azure Data services, preferably Azure Fabric.
• Strong database working experience for transactional and analytics systems, including querying and tuning large, complex data sets and performance analysis.
• Working experience in big data and DataSecOps is an added advantage.

• Up to $13,000
• World-Class Consultant
• Data Centre experience

• Develops and specifies applications of controls, instruments, and operating systems for all building engineering services purposes
• Surveys, tests, carries out dilapidation reports on existing electrical/mechanical installations
• Specifies activities to ensure that manufacturing, construction, installation, and operational testing confirm to functional specifications and customer requirements
• Day to day decision making on project progress and direct liaison with and provides advice to client
• Represents Company at technical meetings with customers, professional teams and contractors teams
• Ensures engineering calculations and drawings meet required robust industry and legal standards
• Leads on the coordination of engineering services
• Takes a holistic view in the selection and application of engineering concepts and solutions

Job Requirements

• BSc/BEng or degree in appropriate engineering discipline or have sufficient equivalent experience
• MCIBSE/MIEE or HNC/HND plus appropriate experience or equivalent
• Working towards Chartered Eng status
• Significant experience of specification design for several building types
• Sound knowledge of key Health and Safety issues and legislation
• Knowledge of MS Office applications word, excel etc
• Ability to use IT based calculation and spreadsheet software
• Good understanding of BS standards/ UK Regulations/Codes
• Ability to prioritise own workload
• Ability to work to deadlines
• Managerial skills
• Presentation skills

OTHER INFORMATION:

• Salary: Up to $13,000 / Negotiable (Salary will commensurate according to experience & qualifications).

HOW TO APPLY:

Simply submit your application with your updated Resume in MS Word Format to Ashwin Vivek Vinod (EA Personnel Reg. No.: R22111690) (BEP) by clicking the ‘Apply link’ or call your friendly Consultant, Ashwin Vivek Vinod, at 6590 9957 or 9178 0355 for a confidential discussion.

Please click APPLY NOW button to submit your application

Please indicate the below information in your resume:

• Current & Expected salary

• Reason(s) for leaving

• Availability to commence work

We regret only short listed candidate will be notified. All applications will be treated with the strictest confidence.

YOUR SUCCESS IS OUR ACHIEVEMENT!

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Kindly ensure your resumes provided to us does not contain your full NRIC number and full home address during your job application.

Key Responsibilities

Business Understanding

• Conduct thorough business requirement analysis to bridge the gap between business needs and technical solutions.
• Understand business processes and systems to support various functions such as Finance, Commercials, and Operations.
• Serve as a liaison between business and technical users, ensuring effective communication and understanding.

Azure Data Engineering

• Develop and maintain data pipelines using Azure Data Factory.
• Utilize Azure Synapse Analytics/Datawarehouse for data processing and analysis.
• Collaborate on projects leveraging Microsoft Azure Data Engineer Associate certifications (preferred).

Data Ingestion & Modeling

• Perform data ingestion tasks using Data Factory, T-SQL stored procedures, and data harmonization techniques.
• Implement and validate data quality checks to ensure accurate outputs.
• Design data models in Azure Analysis Services using star and snowflake schemas.
• Create dimensions and measures using DAX queries.
• Utilize Python for advanced data transformations and processing (preferred).

Technical Support

• Provide technical support (80%) and enhancements (20%) for existing Azure applications.
• Address system issues by identifying root causes and resolving them in a timely manner.
• Trace processes end-to-end to verify data accuracy and ensure seamless operations.
• Maintain documentation and logs for issue resolution and enhancements.

Others

• Utilize Microsoft Office products effectively to document processes and communicate updates.
• Stay updated on the latest tools and techniques in Azure data engineering.

Qualifications

• 3+ years of experience in Business Requirement Analysis and Process/System Understanding.
• 2+ years of hands-on experience as an Azure Data Engineer using Azure Data Factory and Azure Synapse Analytics/Datawarehouse.
• Strong knowledge of data modeling and data validation techniques.
• Technical proficiency in DAX, Python, and Azure Databricks (preferred).
• Familiarity with providing technical support and resolving issues in Azure-based production systems.
• Relevant Microsoft certifications, such as Azure Data Engineer Associate, are an advantage.

EA License Number: 11C4879

We are seeking a skilled and experienced Risk Data Business Analyst to support the enhancement, implementation, and ongoing support of risk data-related projects.

Responsibilities:
• Translate complex risk data requirements into detailed specifications for the technology teams.
• Design and execute User Acceptance Testing (UAT), including test strategy development and scenario creation.Independently resolve UAT issues and provide support to end-users.
• Investigate and resolve production-related queries and issues.
• Manage project timelines effectively, ensuring adherence to deadlines.
• Collaborate with cross-functional teams, including technology, upstream and downstream system teams, and project stakeholders.

Qualifications:
• Minimum 2 years' experience in a similar role, preferably within the banking and financial services industry.
• Proven experience in large-volume data testing and a strong understanding of data marts/data warehouses.
• Proficiency in SQL is mandatory. Experience with Python and Big Data systems is a significant advantage.
• Familiarity with Agile product development methodologies.
• Experience with Consumer Credit Risk and banking products is highly desirable.

If you are a highly motivated individual with a strong analytical skillets and a passion for data, we encourage you to apply.

You can apply at [email protected]

Company’s Profile
Founded in 2008, Global TechSolutions (GTSS) is a trusted name in semiconductor equipment manufacturing, with over a decade of experience serving front-end semiconductor wafer manufacturers. Our team, backed by strong OEM expertise, excels in repairs, refurbishment, installations, and field service support.

Benefits:

• Guaranteed AWS

• Performance bonus

• Increment after probation (subject to performance)

• 1 year cash completion bonus

Salary Package:
- Basic Salary: $2200
- Shift Allowance

- Fixed monthly attendance allowance

- OT pay eligible

Working Location: Kranji

Working Hours: 12 hours shift work, (4 days work, 3 days off | 3 days work 4 days off)

Key Responsibilities:

• Perform robot PM: parts cleaning & greasing, replacement of sensors, motors, motor drivers etc.

• Installation of vacuum valves, fore line pipes, heater jackets.

• Support tool owner engineer to do technical activities in fab: trouble shoot, modification, installation, de-installation.

• Support 6S & logistic activities (parts cleaning, arrangement, label-ling, housekeeping.

Requirements:

• Min. NITEC in any Engineering field or equivalent certification

• Willing to do hands-on work and comfortable to be in clean room suit

• Able to work on weekends

*Able to start work within short notice will be highly advantageous.*

**Please be notified that only shortlisted candidates will be notified**

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

EA Personnel Name: TOH SHIQI

EA Personnel No: R23119083

EA License No: 21C0845

JOB TASKS AND SPECIFICATIONS

1. Execute strategies and customer engagement opportunities for key accounts in the specific industry sectors across Asia Pacific.
2. Assist in facilitating smooth implementation of contractual agreements.
3. Collaborate with different stakeholders to put together a plan of action for the clients and current supply chain business operations.
4. Monitor progress update of projects, initiate and implement process improvements to ensure project success.
5. Conduct research and market intelligence work to facilitate formulation of business development plans and strategies.
6. Assist in the preparation of proposals, quotations, presentations and solutions in timely manner and with utmost professionalism.
7. Tracking of KPI performance
8. Provide process improvement and optimization support relating to Logistics Data Management
9. Assist in Data and Statistical Analysis.
10. Perform other job related functions as assigned.

REQUIREMENTS

• Candidate must possess at least Diploma and above in any field
• Competent in English and Mandarin language (spoken and written)
• Good exposure in business presentation. Savvy with presentation software
• Proficient in MS. Office, Excel, PowerPoint and computer knowledge
• Excellent interpersonal and communication skills.
• Fresh graduates welcome to apply
• Meticulous and have a can-do attitude

Only with 3PL experience may apply.

Salary shall commensurate with relevant experience.

We regret that only shortlisted candidates will be notified.

Entry level candidates are welcome to apply

Job Responsibilities:

• Prepare and maintain financial records in compliance with regulations.
• Process invoices, payments, and expense reports promptly and accurately.
• Basic data entry.
• Handle scanning & bookkeeping.
• Any other ad-hoc matters assigned.

Job Requirements:

• Diploma / Degree in Accounting or equivalent
• Or at least 2 years relevant experience if without Diploma/Degree
• Proficient in Microsoft Office and must have used accounting software
• Meticulous, performance-oriented, and self-motivated with good interpersonal and communication skills
• Responsible, meticulous & committed to deadlines.
• Team player and ability to work independently.
• Welcome to the candidate with no experience.

Working Location: Raffles Place.

Working Hours: Mon - Fri 9AM - 6PM

[Job ID: 622241]

Responsibilities:

• Execute production as per production schedule and meet targeted output as set by management
• Perform initial level of troubleshooting of equipment-related problems to minimize downtime
• Ensure smooth and optimum level of machine operational efficiency
• To control the quality of outputs using advanced technologies.
• To control the flow of various goods and materials through digital quantity monitoring system
• Mange multiple priorities
• Performing QC activities before the delivery to customers
• Any other ad-hoc tasks assigned

Requirements:

• Less than 4 years of working experience
• Candidate without working experience is welcome to apply.
• Able to do routine work efficiently
• Must be able to stand for a long hours
• Non-job hopper
• Able to communicate with other colleagues well

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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/

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EA License no.: 07C5771
EA Personnel Reg. No.: R22107257
EA Personnel Name: Li Wai Chun