Total 5,463 data entry job vacancies in Singapore

Job Title: AI Data Associate / Evaluator
Working Location: Alexandra Technopark
Project Period: 2 weeks, from 15 Jun 2026 to 26 Jun 2026

Summary

This role involves evaluating digital assets based on predefined acceptance criteria and quality standards. Responsibilities include reviewing assets, making approval or rejection decisions, identifying quality issues, providing feedback, and ensuring consistent and accurate evaluations in accordance with project requirements.

Job Description

• Evaluate and review assets based on project guidelines and acceptance criteria.
• Approve or reject assets while ensuring quality, accuracy, and compliance.
• Identify discrepancies and provide feedback for improvement.
• Conduct research and validation using reliable online sources when required.
• Maintain accurate records of evaluation results and project activities.
• Ensure timely and consistent completion of assigned tasks.

Job Requirement

• Strong attention to detail and ability to follow guidelines accurately
• Good analytical and problem-solving skills
• Able to work independently and meet deadlines
• Proficient in basic computer applications and internet research
• Proficiency in Korean (reading, writing, and comprehension) is required to review and annotate Japanese-language content, ensuring accuracy and relevance in line with business needs
• Prior experience in data annotation, content review, quality assurance, or AI-related projects is an advantage.

About Centific 

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

Your Authentic Self at Centific 

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, gender (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

About the Role

Exceptional Chief Operating Officer to lead data centre operations and drive construction and engineering excellence across Southeast Asia. This strategic leadership position will be instrumental in scaling our data centre network and operational capabilities during an exciting period of regional expansion.

As COO, you will oversee all internal operations, manage complex infrastructure environments, and lead high-performing teams to deliver world-class data centre facilities that meet the growing demand for digital infrastructure in the region.

Responsibilities

• Provide strategic leadership for all operational aspects of multi-site data centre facilities across Southeast Asia.
• Oversee construction and engineering functions, ensuring projects are delivered on time, within budget, and to the highest quality standards.
• Drive operational efficiency and excellence across all facilities, implementing best practices and continuous improvement initiatives.
• Lead and develop cross-functional teams across operations, engineering, construction, and facilities management.
• Manage significant operational budgets and optimize resource allocation.
• Establish and maintain hyperscale operational standards aligned with industry best practices.
• Champion innovation in data centre technologies, including AI-centric environments and advanced cooling solutions.
• Build and maintain strong relationships with key stakeholders, vendors, and partners.
• Ensure compliance with all regulatory, safety, and environmental requirements.
• Develop and execute operational strategies that support the company's growth objectives.

Requirements

• Minimum 12 years of progressive leadership experience in multi-site data centre operations
• Bachelor's or Master's degree in MEP (Mechanical, Electrical, Plumbing) Engineering, Building Services, or related engineering discipline
• Proven track record of successfully delivering data centre construction projects, including both new-build and renovation projects
• Strong technical expertise in data centre infrastructure, including: Electrical power systems and distribution HVAC and cooling systems
• Deep knowledge of MEP systems and hyperscale data centre standards
• Demonstrated experience managing large operational budgets and P&L responsibility
• Direct Liquid Cooling (DLC) technologies, AI-optimized data centre environments, IT infrastructure and network systems

Preferred Qualifications

• Professional certifications in data centre management (e.g., CDCP, CDCS, CDCE)
• Certifications in facilities management or IT infrastructure (e.g., CFM, ITIL)
• Experience with Tier III or Tier IV data centre facilities
• Knowledge of sustainability initiatives and green data centre practices

What We Offer

• Opportunity to lead operations for a growing data centre platform in Southeast Asia
• Strategic C-level role with significant impact on company direction
• Work with cutting-edge data centre technologies and infrastructure
• Singapore (with regional travel across Southeast Asia required)

How to Apply: Click  Apply Now or send your resume directly to Talent@BuildBridgePartners.com

EA Details:

EA Name: BuildBridge Partners Pte Ltd

EA License No: 25C2918

EA Reg No: R1551092 Khoo Yan Jie

https://buildbridge-partners.careers-page.com/jobs/bd26b8d8-7789-4b7c-b3c2-54c6c190f255

Job Title: AI Data Associate / Evaluator
Working Location: Alexandra Technopark
Project Period: 2 weeks, from 15 Jun 2026 to 26 Jun 2026

Summary

This role involves evaluating digital assets based on predefined acceptance criteria and quality standards. Responsibilities include reviewing assets, making approval or rejection decisions, identifying quality issues, providing feedback, and ensuring consistent and accurate evaluations in accordance with project requirements.

Job Description

• Evaluate and review assets based on project guidelines and acceptance criteria.
• Approve or reject assets while ensuring quality, accuracy, and compliance.
• Identify discrepancies and provide feedback for improvement.
• Conduct research and validation using reliable online sources when required.
• Maintain accurate records of evaluation results and project activities.
• Ensure timely and consistent completion of assigned tasks.

Job Requirement

• Strong attention to detail and ability to follow guidelines accurately
• Good analytical and problem-solving skills
• Able to work independently and meet deadlines
• Proficient in basic computer applications and internet research
• Proficiency in Korean (reading, writing, and comprehension) is required to review and annotate Korean-language content, ensuring accuracy and relevance in line with business needs
• Prior experience in data annotation, content review, quality assurance, or AI-related projects is an advantage.

About Centific 

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

Your Authentic Self at Centific 

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, gender (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Who we are looking for

As part of the Professional Services organization within Charles River for Private Markets (CRPM), the primary goal of the Senior Manager will be ensuring successful delivery of Data Management Services (DMS) for key strategic clients.  This role is critical in ensuring that the requirements from these clients across multiple asset classes are carefully solutioned for via SaaS, and to provide guidance on operational excellence around specific data services.

The role requires the candidate to work closely with multiple areas within the company while gaining a deep understanding of all areas of the business.  The Senior Manager will be the key interface to customer success and have consistent exposure to large private markets funds and multi-national companies. The key to this role is consultancy and delivery – the Senior Manager will provide subject matter knowledge so to deliver to client goals while being a trusted advisor to the client. 

Why this role is important to us

The team you will be joining is the Private Markets team (formerly Mercatus), a part of Charles River Development (or CRD) that became a part of State Street in 2018. CRD helps create enterprise investment management software solutions for large institutions in the areas of institutional investment, wealth management and hedge funds. Together we have created first open front-to-back platform - State Street Alpha, that was launched in 2019.

Join us if delivering next generation infrastructure, using emerging technologies like AI and Blockchain sounds like a challenge you are up for.

What you will be responsible for

• Professional Services support and Client leadership for DMS

• Work together with the Professional Services lead for the client to conduct requirements gathering sessions to ensure successful configuration specific to needs. 

• Work across multiple private markets asset classes, including private credit, hedge funds, real estate, private equity.  Key focus on private credit and loans processing.  Example data sets:  loan data attributes, lifecycle changes to investments, capital call notices, PCAP statements, valuation and cash flow data.

• Document process workflow, data capture, data validation requirements, and nuances based on asset class to lay out delivery of each service to meet client needs.

• Support Professional Services lead in defining deployment options for clients and outline key advantages / disadvantages as it pertains to delivery of DMS

• Provide client-facing leadership as the face of CRPM DMS to the client.  Report on operational metrics, issues, and next steps regularly.

• Operational leadership of DMS (key focus on Loan Processing): Solution for the onboarding of outsourced investments (loans) from clients, which involves designing the onboarding and data extraction process that will be managed by CRPM DMS team, then giving oversight as SME to that team during regular operations / delivery of the service.

• Review and provide guidance and training to the internal teams to define and refine loan processing SOPs with strong governance/controls

• Provide guidance and training to the internal teams on understanding and capturing loan terms as data points on the CRPM platform, including assessing complexity and feasibility

• Run training sessions and support hyper care phases for new and complex loan terms

• Provide oversight and subject matter expertise (SME) as required for internal data management teams processing information on behalf of the client

What we value

• Experience in Private Credit / Debt, Infrastructure investments, Private Equity, Fund / Portfolio Management

• Experience with loan processing, including key contractual terms and compliance requirements is a must (e.g. Margin Ratchet, Call Protections, Repayment Terms, Commitment Expiries, Step-ups..)

• Experience in loan amortization schedules highly preferred

• Ability to communicate equally effectively from C-level to entry level employees

• Strong interpersonal skills to manage client relationships

• Analytical with strong problem-solving skills

• Process efficient with heavy attention to detail

• Ability to proactively seek solutions and ways to improve performance

• Experience working with Business Intelligence dashboards / data modeling is a bonus

• Experience creating knowledge transfer materials is a bonus

Education & Preferred Qualifications

• Degree in finance or business preferred

• CAIA or CFA designation highly preferred

Additional requirements

• Ability to travel as required for customer engagements (~ 30%), including internationally

• Adaptability and desire to work in fast-paced, changing environment

Key Responsibilities 

• Collaborate with business stakeholders to gatheranalyze and document ESGrelated requirements
•  Translate business needs into functional and technical specifications fordata and analytics solutions
•  Work closely with data engineering and data science teams to design andimplement ESG reporting and analytics solutions
•  Analyze ESG datasets eg carbon emissions sustainability metricscompliance data to identify trends and insights
•  Support the development of ESG dashboards KPIs and performance trackingframeworks
•  Ensure alignment with global ESG standards and frameworks eg GRI SASBTCFD ISSB
•  Assist in defining data models data governance and data quality standards for ESG reporting
•  Participate in UAT User Acceptance Testing and validate system outputs against requirements
•  Provide domain expertise on ESG products services and regulatory expectations
•  Create comprehensive documentation including BRDs FRDs use cases and process maps
•  Facilitate communication between business product and technical teams

Required Skills  Qualifications 

• Bachelors or Masters degree in Business Finance Data Science Sustainability or related field
•  5 years of experience as a Business Analyst preferably in ESG sustainability or financial services domains
•  Strong understanding of ESG concepts reporting frameworks andsustainability metrics
•  Proven experience working with data analytics data modeling and datavisualization tools eg Power BI Tableau
•  Familiarity with data science concepts statistical analysis and predictive modeling
•  Minimal Hands on experience with SQL and or Python R for data analysis will be good to have
•  Experience working in Agile environments and handling cross functional teams
•  Strong analytical thinking and problem solving skills
•  Excellent stakeholder management and communication skills

Our client is a well-established MNC specializing in industrial piping systems and flow solutions, with a strong global presence across infrastructure, utilities, and high-tech industries. Due to their current expansion plan, they are looking for a Sales Project Manager to support growth within the cooling and data centre segment. They are located in the (East) - easily accessible.

Responsibilities:

• Drive business development activities within the data centre and cooling segment by promoting piping system solutions and related services
• Identify, develop, and convert project opportunities to achieve assigned sales and margin targets
• Build and maintain a strong project pipeline through proactive prospecting and market engagement
• Develop market strategies based on analysis of industry trends, customer requirements, and competitor activities
• Manage full sales cycle including opportunity identification, proposal development, tender submission, and project award
• Coordinate with internal stakeholders on technical proposals, delivery planning, and project execution requirements
• Maintain accurate project tracking and reporting through CRM systems
• Engage consultants, developers, contractors, and end-users to influence project specifications and secure business opportunities
• Conduct market research using industry platforms and networks to identify new business opportunities
• Monitor market movements and adjust sales strategies to strengthen competitive positioning
• Support participation in industry events, technical presentations, and customer engagement activities
• Collaborate with cross-functional teams to align sales initiatives with overall business objectives
• Expand market presence across commercial, industrial, and district cooling projects

Requirements:

• Degree in Mechanical, Chemical Engineering, or related discipline
• Relevant experience in project sales within cooling, HVAC, or data centre environments
• Strong understanding of cooling systems, industrial applications, and building-related standards
• Experience handling end-to-end project sales cycle from opportunity creation to execution
• Familiarity with local regulations, codes, and energy efficiency standards
• Knowledge of CRM systems and structured pipeline management
• Exposure to industrial or building technology segments will be advantageous
  

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/CV.
We regret that only shortlisted candidates will be notified.

Email Address: jobs@recruitpedia.sg
EA License No: 19C9682
EA Personnel No: R22104769
EA Personnel Name: Ong Boon Kiet (Travys)

• Perm with VB
• Experience in data analytics within Sales & Marketing / Customer Service will be advantageous.
• Preferably with prior CRM, customer experience, customer service operations experience.
• Comfortable working with data, CRM systems (e.g., Salesforce), and cross-functional stakeholders.

Key Responsibilities

• Manage and support customer loyalty and ownership benefit programmes, including coordination with partners and customer onboarding.
• Support customer satisfaction initiatives, including NPS and mystery shopping programmes, identify service gaps, and coordinate improvement actions with internal stakeholders.
• Oversee Customer Relationship Management (CRM) and customer feedback processes, ensuring timely acknowledgement, tracking, escalation, and closure of customer cases through CRM systems.
• Act as a key coordination point for customer feedback across multiple internal functions, including Sales, Service, Operations, Management, and external stakeholders.
• Maintain and manage customer databases, ensuring data accuracy, compliance with data privacy requirements, and effective use of CRM tools.
• Analyse customer data and feedback to support CRM and customer experience improvements.
• Provide operational and administrative support for marketing initiatives, customer engagement activities, and events.
• Support ad-hoc projects and responsibilities as assigned.

Requirements

• Diploma or Degree in Business, Marketing, Communications, Data Analytics, or a related discipline.
• Prior experience in CRM, customer experience, customer service operations, or data analytics will be advantageous.
• Comfortable working with data, CRM systems (e.g., Salesforce), and cross-functional stakeholders.
• Strong communication, coordination, and organisational skills.
• Detail-oriented with the ability to manage multiple priorities in a fast-paced environment.

Triton AI Pte Ltd

Registration Number: R1975181

EA: 21C0661

The Data Center Engineer will be responsible for overseeing the daily operations of our data center facilities, ensuring optimal performance, reliability, and security. The ideal candidate will have extensive experience managing data center infrastructure, troubleshooting hardware and network issues, and implementing best practices for environmental and power management.

Key Responsibilities:

• Monitor and maintain data center physical and virtual infrastructure to ensure 99.99% uptime.

• Manage power systems, including UPS, generators, and distribution units.

• Maintain environmental controls such as cooling, humidity, fire suppression, and security systems.

• Troubleshoot and resolve hardware, network, and environmental issues promptly.

• Perform routine inspections, preventive maintenance, and upgrades of data center equipment.

• Coordinate with vendors and internal teams for repairs, upgrades, and capacity planning.

• Develop and update documentation related to data center configurations, procedures, and incident reports.

• Ensure compliance with industry standards, security protocols, and regulatory requirements.

• Assist in disaster recovery planning and implementation.

• Support and mentor junior staff members as needed.

Requirement:

• Minimum 5 years of experience in data center operations, engineering, or related fields.

• Bachelor’s degree/Diploma in Computer Science, Information Technology, Electrical Engineering, or a related field.

• Strong knowledge of data center infrastructure, including power, cooling, and environmental systems.

• Hands-on experience with server hardware, networking equipment, and data center management tools.

• Certifications such as DCCA, CCNA, CompTIA Server+, or equivalent are preferred.

• Excellent troubleshooting, problem-solving, and communication skills.

• Ability to work under pressure and handle emergency situations effectively.

• Knowledge of industry standards and best practices for data center management.

• This is a 24/7 shift-based role located in the North-East region.

• Candidates must be flexible and willing to work on weekends as part of the operational requirements.

Contract Period: 18 Months

Working Location: Central / 2 days WFH

Role Overview 

We are seeking a Full Stack / Data Engineer to design and build a high-performance data ingestion and API platform for automatic weather station data. The role will focus on cloud-based ingestion pipelines, time-series data storage, quality control logic, and APIs for high-frequency data insertion and retrieval. 

The ideal candidate has strong experience building scalable backend systems for real-time or near-real-time data, with the ability to work across ingestion architecture, data modelling, API design, and operational reliability. 

Key Responsibilities 

• Architect and implement high-throughput data ingestion pipelines for telemetry and sensor data. 

• Build backend services and APIs for data insertion, retrieval, configuration, and operational platform functions. 

• Design low-latency RESTful, gRPC, or equivalent APIs for high-frequency time-series workloads. 

• Implement streaming or near-real-time quality control logic, including anomaly detection and configurable validation rules. 

• Design non-proprietary time-series schemas that support efficient storage, retrieval, governance, and future extensibility. 

• Support access control, data governance, auditability, and secure integration patterns. 

• Collaborate with IoT/network engineers to define ingestion contracts, payload formats, protocol boundaries, and error handling. 

• Work with stakeholders to validate performance, stability, and reliability against agreed platform requirements. 

• Contribute to system documentation, deployment notes, API specifications, and operational handover materials. 

Required Skills and Experience 

• Strong backend engineering experience with high-throughput, cloud-based data platforms. 

• Experience designing and operating data ingestion pipelines for streaming, telemetry, sensor, IoT, or time-series data. 

• Proficiency in at least one modern backend language such as Python, Java, Go, Node.js, or similar. 

• Experience designing production-grade APIs, including REST, gRPC, or equivalent programmatic interfaces. 

• Familiarity with time-series databases, relational databases, data lakes, or scalable storage systems. 

• Understanding of performance tuning, data partitioning, batching, backpressure, observability, and reliability patterns. 

• Ability to work across data engineering, backend development, and platform integration concerns. 

Good to Have 

• Experience with cloud services, containerized deployments, CI/CD, infrastructure-as-code, or managed streaming technologies. 

• Familiarity with data quality frameworks, rules engines, or anomaly detection for operational data. 

• Experience with environmental, geospatial, industrial IoT, or mission-critical data systems. 

Interested candidates who wish to apply for the above positions, please click "Apply now"

We regret that only shortlisted candidates will be notified.

Position title : Data & Marketing Officer / Executive

Location: Kallang

Working Day: 5 Days (Mon - Fri) Overtime is required.

Working Hour: 8.15am - 5.30pm

Salary : $3000 - $3500 (Experienced candidate up to $4,400)

Responsibilities: 

• Opportunity: A chance to make measurable impact with your data analysis skills by turning data into actions that increase company performance.
• Role: Combine data analysis and marketing leadership to build the foundational datasets and insights that drive sales analysis and market development using Microsoft, SAP, and Keyence software.
• Objective: Build and maintain the datasets and reports that define sales direction; turn those data-driven insights into targeted marketing and sales actions and guide and execute those initiatives.
• Marketing scope: Lead integrated B2B marketing activities — promotional planning, lead generation, and sales enablement — and guide the marketing team toward measurable growth.

Requirements:

• Proficiency in Excel and Power BI or Tableau; experience building reports and dashboards.
• Knowledge of Power Automate is a plus.
• 3-6 years professional marketing experience (B2B preferred).
• Proven, data-driven marketing, campaign executive, and lead-generation experience.
• Minimum Bachelor’s degree.

Interested applicants, WA your resume to +65 9136 9792 or email your resume to supreme.yentan@gmail.com.

Tan Yen Zhen (Chen Yan Zhen) Reg No: R25138932

The SupremeHR Advisory Pte Ltd EA No: 14C7279

Job Overview

We are seeking a Data Engineer to support and advance the organization’s data-driven and self-service analytics strategy. This role is responsible for designing, building, and maintaining scalable data pipelines and data platforms that transform raw data into trusted, analytics-ready assets.

The position plays a critical role in enabling enterprise reporting, governing Self-Service Intelligence SSI, and high-performance Power BI analytics. The successful candidate will work across hybrid data environments, ensuring data quality, reliability, security, and performance while empowering business users with timely and actionable insights.

Key Responsibilities

• Design, develop, test, and maintain enterprise-grade data pipelines supporting analytics, reporting, and self-service BI use cases
• Build and optimize ETL and ELT workflows using SQL Server Integration Services SSIS, Azure Data Factory, and equivalent data integration tools
• Enhance and refactor existing SSIS packages to improve performance, scalability, and operational stability
• Integrate data from multiple internal and external data sources across on-premises and cloud environments
• Collaborate with business stakeholders, analysts, and data consumers to translate reporting and analytical requirements into production-ready data solutions
• Design and maintain data models, semantic layers, and certified datasets to support Power BI dashboards and self-service analytics consumption
• Implement data quality controls, validation rules, and monitoring mechanisms across data pipelines
• Support governed self-service analytics by delivering reusable, well-documented datasets that reduce dependency on IT teams
• Monitor, troubleshoot, and resolve data ingestion, transformation, and performance issues impacting reporting users
• Implement data warehousing structures, dimensional models, and performance-optimized schemas aligned with business usage patterns
• Maintain clear documentation of data flows, transformation logic, and architectural components

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline
• Minimum 3 years of hands-on experience in data engineering, BI engineering, or a closely related role
• Strong proficiency in SQL with solid experience in query optimization and performance tuning
• Hands-on experience with SQL Server Integration Services SSIS for enterprise ETL development
• Experience working with Microsoft data platforms including SQL Server and Power BI
• Practical experience enabling Self-Service BI or Self-Service Intelligence in enterprise environments
• Exposure to cloud platforms such as Azure, AWS, or GCP, including services like Azure Data Factory, Redshift, or BigQuery
• Good understanding of data warehousing concepts, dimensional modeling, and star schema design
• Knowledge of data governance, security, and compliance practices in enterprise or regulated environments
• Strong analytical mindset with the ability to communicate technical concepts effectively to business stakeholders

Preferred Skills

• Experience modernizing or migrating SSIS workloads to cloud-based orchestration tools
• Familiarity with Python, Scala, or Java for data processing or automation
• Experience supporting Power BI performance optimization and dataset certification

Please send your detailed resume in MS Word format to resume@goldtecHRs.com with

• Education Level
• Working experiences
• Each employment background
• Reason for leaving each employment
• Last drawn salary
• Expected salary
• Date of availability

Job Title: AI Data Associate / Evaluator
Working Location: Alexandra Technopark
Project Period: 2 weeks, from 15 Jun 2026 to 26 Jun 2026

Summary

This role involves evaluating digital assets based on predefined acceptance criteria and quality standards. Responsibilities include reviewing assets, making approval or rejection decisions, identifying quality issues, providing feedback, and ensuring consistent and accurate evaluations in accordance with project requirements.

Job Description

• Evaluate and review assets based on project guidelines and acceptance criteria.
• Approve or reject assets while ensuring quality, accuracy, and compliance.
• Identify discrepancies and provide feedback for improvement.
• Conduct research and validation using reliable online sources when required.
• Maintain accurate records of evaluation results and project activities.
• Ensure timely and consistent completion of assigned tasks.

Job Requirement

• Strong attention to detail and ability to follow guidelines accurately
• Good analytical and problem-solving skills
• Able to work independently and meet deadlines
• Proficient in basic computer applications and internet research
• Proficiency in Korean (reading, writing, and comprehension) is required to review and annotate Chinese-language content, ensuring accuracy and relevance in line with business needs
• Prior experience in data annotation, content review, quality assurance, or AI-related projects is an advantage.

About Centific 

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

Your Authentic Self at Centific 

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, gender (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Responsibilities

Reporting Requirements & Architecture Design

• Own and lead the Datamart reporting workstream for the MX.3 transformation programme, covering all user streams: Front Office (PnL, positions, trading blotters), Back Office (settlements, confirmations, nostro), Market Risk (VaR, stress testing, sensitivities), Credit Risk (PFE, CVA, CCR), and Finance (accruals, mark-to-market, P&L attribution).

• Engage directly with business stakeholders — including traders, risk managers, finance controllers, and operations heads — to gather, analyse, and formalise reporting requirements into detailed Business Requirement Specifications (BRS) and Technical Design Documents (TDDs).

• Understand the Murex system setup at the client: the organisation of support teams, EOD procedures, report delivery processes, and the interdependencies between Datamart and other MX.3 modules (FO, BO, Risk, Finance, Integration).

• Design a generic Datamart data model aligned to the bank's reporting taxonomy, then create the required Datamart objects (dynamic tables, feeders, extractions, scanner templates, processing scripts) to support all reporting use cases.

• Segregate and categorise reports by users, products, creation classes, fields required, complexity, and execution frequency to build a scalable and maintainable reporting catalogue.

• Communicate regularly with business Team Leads and programme stakeholders to ensure all Datamart deliverables are progressing as planned and expectations are actively managed.

Datamart Configuration, Development & Optimisation

• Perform in-depth analysis of the Datamart setup and table structures to identify redundant objects, minimise batch execution time, and maximise reuse of existing Datamart components.

• Develop and configure all Murex Datamart objects: dynamic tables (PL, CS, DT, MV, LRB, PLVAR), feeders, batch of feeders, processing scripts, scanner templates, extractions, reporting tables, and pre/post filter conditions.

• Design and implement Simulation-based Reports and Risk Matrix-based reports for market risk and credit risk reporting consumers within the MX.3 platform.

• Configure and optimise EOD batch execution: implement parallel feeding strategies, resolve batch bottlenecks, tune query performance, and manage processing script sequencing within Control-M or equivalent job schedulers.

• Implement dataset historisation techniques within the Datamart to support time-series reporting, regulatory lookback requirements, and management information (MI) aggregation.

• Develop and maintain stored procedures, extractions, and complex SQL logic (Sybase/Oracle) for data processing, report population, and cross-module data joins leveraging the Murex FIN schema.

• Develop simulation views and scenario analysis reporting objects to support pre-trade and risk management reporting requirements for Front Office and Risk users.

Report Validation, Reconciliation & Quality Assurance

• Execute processing scripts and batch jobs manually or via scheduling tools (Control-M), and reconcile Datamart report extraction output against onscreen MX.3 views and Mreport output to validate data accuracy.

• Analyse and resolve discrepancies arising from filter condition changes, feeder configuration differences, or data model modifications between Datamart report runs.

• Define and execute Datamart-specific test cases for SIT and UAT; ensure all test documentation and deliverables are consistent with programme testing standards and acceptance criteria.

• Assist in effort estimation for Datamart development and UAT scope; maintain accurate delivery tracking and escalate issues or risks to the Programme Manager in a timely manner.

• Participate in structured peer reviews of requirements, technical specifications, and testing documentation; provide constructive feedback and maintain quality standards across the Datamart workstream.

Migration, Integration & Market Data

• Lead the migration of legacy Mreport-based reports to MX.3 Datamart equivalents, including gap analysis, mapping documentation, configuration build, and parallel run reconciliation.

• Manage market data integration and validation within the Datamart, ensuring rate curves, volatility surfaces, FX rates, and credit spread data are correctly sourced and represented in Datamart report calculations.

• Leverage NeoXam Data Hub scripting or equivalent data hub capabilities for data pipeline integration between MX.3 Datamart and downstream BI, regulatory reporting, or finance consolidation platforms.

• Coordinate with the Integration Lead to align Datamart extraction design with the broader enterprise data flow architecture, ensuring consistency of data lineage from trade booking through to report output.

• Configure MDCS (Market Data Curve Server), mxres configuration files, and launcher flags to support Datamart batch execution and reporting server performance requirements.

Team Leadership & General Management

• Lead, manage, and mentor a team of Datamart reporting consultants and developers; delegate work effectively, review team output, and maintain delivery quality across all Datamart stream deliverables.

• Responsible for end-to-end ownership of Datamart reporting deliverables: from requirements intake through design, development, testing, UAT support, and post-deployment production validation.

• Ensure all team members are guided on best practices for Datamart configuration, object reuse strategies, batch optimisation, and coding standards within the MX.3 reporting framework.

• Demonstrate the ability to work proactively and independently where required, displaying strong initiative in identifying reporting gaps, performance issues, or data quality risks before they impact programme delivery.

• Contribute to programme governance forums by providing Datamart workstream status updates, risk and issue logs, and delivery milestone tracking to the Programme Manager and Steering Committee.

Requirements

• Bachelor's degree or higher in Finance, Computer Science, Information Technology, Financial Engineering, or a related discipline.

• Formal Murex training or certification in Datamart and Reporting modules is advantageous. Master's degree in a quantitative or technical field is a plus.

Technical Skills

• Excellent SQL programming skills (Sybase and Oracle); proficiency in PL/SQL for stored procedures, complex joins, and performance-optimised query design across the Murex FIN schema.

• Unix / Linux experience is necessary; Shell scripting (awk, sed, Perl, Bash) is highly desirable for batch automation, data processing, and monitoring script development.

• Python scripting for data processing, reconciliation automation, and Datamart batch management; experience with Python in NeoXam Data Hub or similar environments is advantageous.

• Experience with at least one reporting / BI tool: Actuate eRD Pro (preferred), Crystal Reports, MicroStrategy, or equivalent; Excel VBA for report automation and data validation is a plus.

• Familiarity with scheduling tools: Control-M (preferred), AutoSys, or equivalent for Datamart batch job management, dependency configuration, and execution monitoring.

• Desirable: knowledge of MRA/MRE or MLC module configuration; familiarity with Murex Pricing, Trade Repository, Trade Validation, MDCS, and MxML Exchange workflows.

• Java knowledge (especially Apache Camel, Maven) for integration touchpoints between Datamart and downstream systems is an advantage.

• 10+ years of hands-on experience as a Murex Datamart Developer, Consultant, or Reporting Lead on MX.3 programmes within corporate or investment banking environments.

• Mandatory in-depth expertise in MX.3 Datamart architecture and configuration: Datamart management, dynamic tables (PL, CS, DT, MV, LRB, PLVAR), feeders, batch of feeders, processing scripts, scanner templates, extractions, and reporting tables.

Shortlisted candidates will be offered a 1 Year Agency employment contract.

Our client is a MNC in Industrial Piping Systems.  Due to business needs, they are now recruiting a Data Centre Project Sales Manager to be part of their Team for ongoing transformation projects. They are located in the EAST - easily accessible.

Responsibilities:

Sales Strategy & Forecasting

• Identify and assess sales opportunities across Data Center, Cooling, and Building Technology segments in Singapore.

• Analyze market trends, competitor activities, and customer behavior to develop effective sales and marketing strategies.

• Develop and execute long-term growth strategies to strengthen GF’s presence in cooling applications.

• Proactively generate and qualify new business opportunities to expand the sales pipeline.

Sales Management & Execution

• Drive achievement of sales targets, ensuring consistent delivery of revenue and order intake goals.

• Lead end-to-end proposal development with Technical Specialists, from planning through tendering, award, and execution.

• Partner with Operations to resolve customer issues, coordinate deliveries, and support forecasting activities.

• Maintain accurate CRM records, including customer updates, visit reports, and project tracking.

• Represent the company at exhibitions, seminars, and customer training events to enhance market presence.

Market Research & Business Development

• Conduct market research and identify opportunities using platforms such as BCI and industry networks.

• Engage key stakeholders to develop new business opportunities and strengthen customer relationships.

• Monitor market trends and competitor movements to refine positioning and strategy.

• Evaluate long-term growth potential within cooling applications across IS and BT segments.

Stakeholder & Relationship Management

• Build and maintain strong relationships with key stakeholders, including consultants, owners, contractors, and end users.

• Understand customer needs and deliver tailored solutions while influencing project specifications.

• Strengthen GF’s presence in cooling and data center projects through consistent engagement and solution-based selling.

Strategic Development

• Lead initiatives to enhance GF’s market position in cooling and building technology segments.

• Drive growth across hospitality, commercial, industrial, and district cooling sectors.

• Collaborate with cross-functional teams to align go-to-market strategies and support segment growt

Requirements:

• Bachelor’s degree in Mechanical, Chemical Engineering, or equivalent field.
• Solid understanding of HVAC systems, cooling technologies, building/fire codes, and sustainable practices.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R25157233 (Loh Pooi Keng)

ABOUT THE NATIONAL INSTITUTE OF EDUCATION (NIE)

The National Institute of Education (NIE), Singapore, is Singapore’s national teacher education institute and we are proud to be an integral part of the nation’s education service. We play a key role in the preparation of teachers and in the provision of teacher professional and school leadership development programmes. We are committed to our vision of being An Institute of Distinction: Leading the Future of Education and our mission to Inspire Learning, Transform Teaching and Advance Research.

NIE invites applications for a Senior Learning Data Specialist/Learning Data Specialist position in the Centre for Innovation in Learning. This is a 2-year contract position.

Responsibilities

• Work with fellow Learning Data Specialists to examine department and project level datasets using data analysis tools to optimise learning and the learning environment at NIE.
• To collaborate across teams:
• to develop insights and strategies for faculty engagement, academic development and teaching & learning and develop emerging technologies to innovate.
• to assess needs for faculty related to the design, development and evaluation of learner-centred blended courses and course requirements.
• to identify strategies, and appropriate tools to design, develop and facilitate face-to-face and online tech-enhanced workshops (i.e., blended learning) as part of capability development for faculty.
• Remain abreast of best and innovative teaching and learning practices in higher education (e.g., regarding personalised learning, adaptive learning, e-assessment, hybrid learning).
• Collaborate on initiatives with IN-Learning's Engagement, Planning and Research team to share institute-wide knowledge.
• Carry out action research by:
• conceptualising frameworks and methodologies,
• designing evaluation instruments,
• gathering and analysing data (e.g., Learning Analytics)
• formulating decisions that will enhance the effectiveness of learning experiences and our Capability Development initiatives.
• Participate in special projects on teaching and learning as required.

Requirements

• A University Degree related to Education, Learning Sciences, Business/Data Analytics, Applied Statistics and Technology or a related field.
• At least 2 years’ experience in learning analytics or related instructional design and development experience.
• Possess good analytical skills to facilitate interpretation of data for decision-making purposes.
• Well-versed with ICT tools for education.
• Experience in working with Learning Management Systems.
• Having teaching experience will be an advantage.
• Ability to work independently and in diverse teams.
• Ability to learn new tools and processes quickly with little guidance or support documentation.
• Possess good creative thinking and problem-solving skills.
• Excellent communication and interpersonal skills.
• Exceptionally meticulous in work details.
• Experience in using data visualization tools will be an advantage.

Application

We regret that only shortlisted candidates will be notified.

Other information

NIE Staff can take chartered buses at their own expenses from or near their homes to the NIE campus. This is subject to availability of seats.