Total 1,344 data entry job vacancies

We are looking for Senior Consultant/ Associate Manager, Data Governance Expert from Banking Industry for a Permanent role with our Client.

Responsibilities:

• Act as the subject matter expert for data governance, collaborating closely with the Finance team in Singapore and engaging with stakeholders across Data Management, Risk Management, and IT.
• Lead execution of data governance initiatives by breaking down complex activities into actionable deliverables such as KDE identification, EUC inventory and criticality assessment, data aggregation process mapping, and implementation of data lineage systems.
• Apply prior experience and practical knowledge from past data governance projects to design effective solutions and drive successful outcomes.
• Develop and manage project plans with clear milestones, governance structures, and defined roles and responsibilities.
• Integrate Company’s project management methodology with the bank’s operational practices to ensure plans are both strategic and executable.
   

Requirements:

• Bachelor's degree in any related fields.
• Minimum 5 years of experience in data governance or data management roles within a financial institution, preferably banking.
• Proven ability to work in complex, multi-stakeholder environments involving business, IT, compliance, and vendors.
• Strong documentation skills using PowerPoint, Excel, and Word.
• Solid project management skills, including progress tracking, issue and risk management, and stakeholder coordination, experience preparing and delivering reports or presentations to senior management or executives and good stakeholder management and communication skills are a plus.
• Proficiency in business-level English across reading, writing, listening, and speaking will be beneficial for liaising with key stakeholders.
• Strong understanding of regulatory reporting, internal reporting, finance/accounting business processes, and related systems.
• Familiarity with data lineage concepts and tools (e.g. Collibra or similar platforms), understanding of finance and accounting business processes, regulatory reporting, and related systems are a plus.
• Prior collaboration with risk management and finance/accounting departments on external and internal reporting activities is highly beneficial.
• Ability to prepare and present clear, structured executive reporting.

•You will be responsible for end-to-end delivery of enterprise data and analytics solutions leveraging traditional and modern Data architecture. Experience with Financial Crime Analytics, Finance & Credit Risk Analytics, Credit Scoring & Decision systems, Retail & Wholesale Datamarts will of advantage

•The role spans requirements analysis, solution design, testing, implementation, and production support ensuring high-quality, scalable, and compliant data platforms that support advanced analytics and AI initiatives.

Key Responsibilities

•Lead end-to-end solution delivery for data and analytics across the full SDLC.

•Analyze business and regulatory requirements, translate them into scalable solution designs & provide estimations.

•Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner.

•Review and approve test strategies, functional test cases, and data validation approaches.

•Manage risks and issues related to scope, data quality, regulatory commitments, and delivery timelines.

•Participate in product and platform evaluations (RFPs, PoCs) for data, analytics, and AI tooling.

•Partner with production support team to conduct root cause analysis, resolution, and preventive controls.

•Lead innovation and modernization initiatives, including data discovery, cataloguing, governance, and AI enablement.

•Drive productivity, efficiency & quality improvements across delivery and operational processes.

•Ability to design data architectures supporting NLP and AI-driven analytics.

FUNCTIONAL SKILLSETS

Analytics Domains

•Financial Crime Analytics Transaction Monitoring, Customer Due Diligence, Sanctions & Payments Screening

•Finance & Credit Risk Analytics Financial reconciliation, Allocation, Performance management, Regulatory and Management reporting, Credit risk exposure, NPL, Counterparty risk, Basel & IFRS9 input variables

Enterprise Data, Analytics & Unstructured Data Enablement

•Proven experience delivering large-scale analytics platforms within financial services spanning structured, semi-structured, and unstructured data

•Strong capability in requirements analysis and functional design for analytics use cases involving Transactional data, Investigator narratives, Case notes and alerts, Policy & Customer communications documents

•Experience defining data quality, governance, lineage, and reconciliation controls for both structured and NLP-derived datasets.

Unstructured Data & NLP-Enabled Analytics

•Ability to define data architectures and data flows that ingest, curate, and govern unstructured and semi-structured data within enterprise data platforms.

•Experience translating business requirements into NLP-enabled analytical use cases, such as Text classification and categorization, Entity & relationship extraction, Risk indicator identification, Summarization of alerts, cases, or documents

Knowledge Graph & Relationship Based Analytics

•Ability to design and govern an enterprise knowledge layer defining relationship taxonomies, entity resolution rules, and linkage logic

•Ability to translate use cases into relationship driven analytical designs, such as Network based risk identification, Hidden association and indirect exposure analysis, Related party and concentric risk detection

Requirements

Data Platforms & Architecture

•Open table formats: Apache Iceberg, Delta Lake, Apache Hudi

•Distributed processing & query engines: Spark, Trino/Presto, Hive

•Cost optimization strategies: tiered storage, lifecycle management, workload governance

Programming & Analytics

•SQL, BTEQ, GCFR

•Python (Pandas, NumPy)

•BI & visualization tools: Power BI, QlikSense

Data Integration & Quality

•Informatica suite: PowerCenter, BDM, IDQ, Enterprise Data Catalogue

•Data ingestion patterns: batch, CDC, streaming

•Data validation, quality controls, and reconciliation frameworks within environments

Governance, Risk & Compliance

•Data modelling, critical data elements, regulatory reporting

•Fine-grained data access controls (row-level, column-level, masking)

•Metadata management, lineage, and impact analysis

•Compliance with BCBS 239, MAS, AML/CFT, and internal data standards

Big Data Platforms

•Cloudera Hadoop distribution: Hive, Impala, Spark, Iceberg, Trino

Data engineer (Azure) – Synapse and Pyspark, Python, Datawarehouse and Azure Data Explorer, Azure Devops

Job Scope

• Design, review and development of Pyspark scripts. Testing, troubleshooting of data pipelines, orchestration.

• Designing and developing reports and dashboards in PowerBI,setting up access control with row level security DAX query experience.

• Establishing connections to source data systems such as on-prem databases, IOT devices, APIs.

• Managing the collected data in appropriate storage/data-base solutions e.g. file systems, SQL servers, Big Data platforms such as Hadoop, HANA, etc. as required by the specific project requirements.

• Design, development of relevant data pipelines using pyspark, copy data activities for batch ingestion.

• Performing data integration e.g. using database table joins, or other mechanisms at an appropriate level as required by the analysis requirements of the project.

• Deployment of pipeline artifacts from one environment to the other using Azure Devops.

Skills & Experience

• Bachelor’s Degree in Computer Science or Engineering with 2 years of experience in Azure Data engineering, Python, Pyspark or Big Data development.

• Sound Knowledge of Azure Synapse analytics for pipelines, orchestration, set up.

• 1-2 experience in Visualization design and development with Power BI. Knowledge on row-level security, access control.

• Sound experience in SQL, Datawarehouse, data marts, data ingestion with Pyspark and Python.

• Expertise in developing and maintaining ETL processing pipelines in cloud-based platforms such as AWS, Azure, etc. (Azure Synapse or data factory preferred)

• Team player with good interpersonal, communication, and problem-solving skills.

• Preferred to have Devops expertise.

Candidates without prior experience are welcome to apply as on the job training would be provided.

Working hours :

8:30am to 6pm (Monday to Friday) onsite, no hybrid option.

Responsibilities

• Develop and maintain ETL/ELT pipelines using Python, PySpark, and SQL.
• Build and support batch and real-time data processing solutions.
• Integrate data from multiple sources and ensure data quality and reliability.
• Monitor, troubleshoot, and optimize data pipelines and workflows.
• Collaborate with business, analytics, and technology teams to deliver data-driven solutions.
• Support cloud-based data platforms and data warehousing initiatives.
• Develop automation and monitoring solutions to improve operational efficiency.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• 3+ years of Data Engineering or ETL development experience.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Hadoop, Spark, Kafka, or similar big data technologies.
• Knowledge of data warehousing and data modeling concepts.
• Experience with cloud platforms such as Azure Data Factory, Azure Synapse, Databricks, or Azure Data Lake.
• Strong problem-solving and stakeholder management skills.

Technical Skills

• Experience with Apache Flink or real-time streaming technologies.
• Exposure to Power BI, Tableau, Qlik, or other BI tools.
• Familiarity with AI/LLM frameworks such as LangChain, LangGraph, or RAG solutions.
• Experience within banking, financial services, or large enterprise environments.
• Tech Stack: Python, PySpark, SQL, Hadoop, Spark, Kafka, Azure, Databricks, Power BI/Tableau.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: andrechua@recruitexpress.com.sg

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Responsibilities

• Develop and maintain ETL/ELT pipelines using Python, PySpark, and SQL.
• Build and support batch and real-time data processing solutions.
• Integrate data from multiple sources and ensure data quality and reliability.
• Monitor, troubleshoot, and optimize data pipelines and workflows.
• Collaborate with business, analytics, and technology teams to deliver data-driven solutions.
• Support cloud-based data platforms and data warehousing initiatives.
• Develop automation and monitoring solutions to improve operational efficiency.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• 3+ years of Data Engineering or ETL development experience.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Hadoop, Spark, Kafka, or similar big data technologies.
• Knowledge of data warehousing and data modeling concepts.
• Experience with cloud platforms such as Azure Data Factory, Azure Synapse, Databricks, or Azure Data Lake.
• Strong problem-solving and stakeholder management skills.

Technical Skills

• Experience with Apache Flink or real-time streaming technologies.
• Exposure to Power BI, Tableau, Qlik, or other BI tools.
• Familiarity with AI/LLM frameworks such as LangChain, LangGraph, or RAG solutions.
• Experience within banking, financial services, or large enterprise environments.
• Tech Stack: Python, PySpark, SQL, Hadoop, Spark, Kafka, Azure, Databricks, Power BI/Tableau.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: andrechua@recruitexpress.com.sg

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Contributes to the development of new analytics tool, software, and approaches, including the design, development, troubleshooting and debugging.

  *   Ongoing maintenance, update and support of the existing programming and analytic tools

  *   Develop, implement and maintain server and database infrastructure, hardware and software to ensure maximum tool uptime and performance.

  *   Execute end-to-end data processing workflows, ensuring data is accurately ingested, cleaned and structured across corporate systems.

  *   Manage and monitor data flows between current and future infrastructure components to maintain data integrity and consistency.

  *   Analyze processed data to uncover trends, patterns and operational performance metrics using statistical techniques.

  *   Exercises significant independent judgment to determine best method for accomplishing work and achieving objectives

  *   Leads and /or provides expertise to functional project teams and may participate in cross-functional initiatives.

The requirements:

  *   5 years of hands-on experience in data engineering and analytics

  *   Strong skills in statistical tools and programming languages such as Python, R, etc.

  *   Experience with data analysis / visualization tools and software like Power BI, Looker, Databricks etc.

  *   Proficiency in SQL for data extraction and manipulation.

  *   Attention to detail and a commitment to data accuracy.

  *   Proactive approach to identifying issues and providing solutions.

  *   Strong analytical and problem-solving skills. Ability to analyze complex datasets and translate data into actionable insights.

  *   Ability to present complex information in an understandable and compelling manner.

  *   Excellent written and verbal communication skills

  *   Ability to work independently and collaboratively as part of team

Shenton Way

8.30amto 5.30pm (Mondays to Fridays) / 9.00am to 6.00pm (Mondays to Fridays)

Responsibilities

• Understand the structure of each deal & items stating in the checklist prior preparing the reconciliation template
• Close follow-up with Line Manager to ensure checklist is drawn up for each agreement prior the deal commences, making sure the checklist is updated whenever there’s changes to the deal
• Setup contract details in system together with billing instructions to facilitate correct invoicing to customers
• Update customers on the monthly slot charges with bunker update & ensure correct fixed slot invoices issued promptly to customers
• Extract customers’ loading information – to scrutinize the report & probe agents for clarification on any data discrepancies, also follow up to ensure system gets updated with correct records
• Submit reconciliation statement to customers on their slot usage against their slot commitment, it has to be drawn up accurately & submit within stipulated timeframe
• Follow up with customer for the statement confirmation & ensure accurate & timely issuance of invoices
• Handle queries raised by customers & resolve the disputes independently
• Any other adhoc duties as assigned.

Requirements

• Minimum Diploma in Shipping/ Logistics/ Maritime studies or similar specialization.
• Preferably 2 to 3 years’ working experience in shipping industry. Entry level candidates are welcomed to apply.
• Strong working knowledge of MS Office in particular MS Excel

Jessica Nguyen Huynh Thanh Truc

CEI Reg. No. R23113787

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

Job Responsibilities

• Guide customers through available loan products and explain financial solutions clearly

• Assist customers with the full application process, including form completion and document verification

• Handle product enquiries and provide accurate information on requirements, eligibility, and processing timelines

• Maintain high standards of customer experience, ensuring every interaction is professional and service-oriented

• Build rapport with customers and support them in making well-informed decisions

• Ensure compliance with company procedures and industry guidelines

• Manage daily branch duties such as queue flow, basic administrative tasks, and service reporting

• Work closely with teammates to maintain smooth branch operations across both locations

• Rotate between Bugis and Hougang branches on a scheduled basis

Requirements

• Strong communication skills and a customer-centric mindset

• Providing a Great, reliable, and professional attitude when dealing with walk-in customers

• Applicants must be able to work in Hougang (Near MRT)

• Able to work a shift schedule, including at least one weekend day each week

• Able to follow structured processes and handle documentation accurately

• Responsible, and able to work both independently and as part of a team

• Prior experience in loan advisory, financial services, or customer service is an advantage — but not mandatory (training provided)

Benefits

• Stable monthly salary with increment upon confirmation

• 5-day work week with one guaranteed weekend off

• Comprehensive on-the-job training

Interested candidate, kindly click on APPLY NOW

We regret that only short-listed candidates will be contacted shortly.

EA License No. | 12C6253

EA Registration No. | R1105417

EA Personnel | Chia Meng Yong ( Kenny )

Responsibilities

• Develop and maintain ETL/ELT pipelines using Python, PySpark, and SQL.
• Build and support batch and real-time data processing solutions.
• Integrate data from multiple sources and ensure data quality and reliability.
• Monitor, troubleshoot, and optimize data pipelines and workflows.
• Collaborate with business, analytics, and technology teams to deliver data-driven solutions.
• Support cloud-based data platforms and data warehousing initiatives.
• Develop automation and monitoring solutions to improve operational efficiency.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• 3+ years of Data Engineering or ETL development experience.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Hadoop, Spark, Kafka, or similar big data technologies.
• Knowledge of data warehousing and data modeling concepts.
• Experience with cloud platforms such as Azure Data Factory, Azure Synapse, Databricks, or Azure Data Lake.
• Strong problem-solving and stakeholder management skills.

Technical Skills

• Experience with Apache Flink or real-time streaming technologies.
• Exposure to Power BI, Tableau, Qlik, or other BI tools.
• Familiarity with AI/LLM frameworks such as LangChain, LangGraph, or RAG solutions.
• Experience within banking, financial services, or large enterprise environments.
• Tech Stack: Python, PySpark, SQL, Hadoop, Spark, Kafka, Azure, Databricks, Power BI/Tableau.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: andrechua@recruitexpress.com.sg

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

We are seeking a Senior Data Engineer to work directly with agencies, enabling them to reach their desired development delivery efficiency and system resiliency through optimized Continuous Integration/Continuous Deployment(CI/CD) and Site Reliability Engineering(SRE) practices.

Asa forward-deployed engineer, you’ll partner with agencies to solve complex challenges, gather insights, and drive continuous improvement in our product offerings. This role combines deep technical expertise with a commitment to customer enablement and feedback, ensuring that our Core Engineering Products evolve to address the real-world needs of our customers.

As a Senior Data Engineer, youwill be working on:

·      Translate data requirements from business users into technical specifications.

·      Collaborate with partner agency’s IT teams on technology stack, infrastructure and security alignment.

·      Build out data product as part of a data team:

·      Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.

·      Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;

·      Construct, test, and update useful and reusable data models based on data needs of end users.

·      Design and build secure mechanisms for end users and systems to access data in data warehouse.

·      Research, propose and develop new technologies and processes to improve agency data infrastructure.

·      Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.

·      Maintain data catalogue to document data assets, meta data and lineage.

·      Implement data quality checks and validation processes to ensure data accuracy and consistency.

·       Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

What we are looking for:

·      A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.

·      Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.

·      Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.

·      Experience with Databricks.

·      Experience in designing, building, and maintaining batch and real-time data pipelines.

·      Experience with orchestration frameworks such as Airflow, Azure Data Factory.

·      Proficiency in working with Python, Shell Scripts, and SQL.

Preferred requirements:

·      Familiarity with building and using CI/CD pipelines.

·      Familiarity with DevOps tools such as Docker, Git, Terraform.

·      Experience with implementing technical processes to enforce data security, data quality, and data governance.

·      Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

·      Experience in Climate and Weather domains will be an advantage.

• Responsible in managing, processing and reviewing the KYC information and documents for client on-boarding or periodic review

• Follow thoroughly the CDD and KYC review with relevant parties e.g. external and internal stakeholders to facilitate the collection of KYC and relevant documents including tax information/documents and ensuring clients are onboarded or account information are refreshed/updated in accordance with the company’s AML/KYC standards

• Perform AML Risk Assessment on both account opening and periodic reviews of existing relationships. This includes reviewing the adequacy of SOW/SOF corroboration and identifying any AML risk

• Adhering to Company’s Standard Operating Procedures and keep abreast of changes to any regulatory requirements on AML/CFT and identify risk mitigates

• Ensuring established policies, procedures and processes are compliant with new requirements/changes and consistency of workflows amongst team members

• Participate in quality assurance processes for completed KYC profiles, ensuring all activities are documented and completed within designated deadlines.

• Assist with various ad-hoc regulatory-driven projects, process improvement initiatives, and general administrative/operational tasks as required by management.

Requirements:

• Diploma/Degree in Banking and Finance, or similar

• Knowledge on regulatory requirements/guidelines and KYC procedures and corroboration of SOW/SOF for high-net-worth clients will be an advantage

Interested candidates, please email your resume to annasee@recruitexpress.com.sg

Anna See Sing Yee

CEI Reg R25157535

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted

We are seeking motivated individuals who are eager to build a long-term career in marketing, customer engagement, and brand communication.

No prior experience is required — comprehensive training and 1-on-1 mentorship will be provided.

Key Responsibilities

• Represent established brands at events, roadshows, and outreach activities
• Engage customers and deliver professional brand experiences
• Support execution of marketing and promotional campaigns
• Work closely with the team to achieve campaign objectives

What You Will Gain

• Structured 1-on-1 mentorship and professional training
• Clear leadership progression pathway
• Local and overseas exposure opportunities
• Supportive, high-energy, and collaborative team culture

The Chief Data & Analytics Office (CDAO) at JPMorganChase is pivotal in advancing the firm’s data and analytics capabilities, ensuring strong adherence to data & AI risk & control while enabling the data & analytics strategy for superior decision-making and business outcomes to serve our clients and markets. By leveraging data & AI/ML, the CDAO develops innovative solutions to support commercial goals, enhance productivity, and manage risks. The Asia Pacific Chief Data & Analytics Office (CDAO) advances the firm’s data and analytics strategy, platforms, solutions, capabilities, and governance to deliver trustworthy, responsible, innovative, and commercially valuable outcomes across the APAC markets and businesses.

As a Data & AI Platform Product Manager – Associate within the APAC Chief Data & Analytics Office, you will support the APAC technical product agenda for the firm’s Data & AI platform capabilities. You will help translate APAC business, regulatory, and user needs into clear requirements, well-structured backlog inputs, and measurable adoption outcomes. You will partner with APAC and global stakeholders across Product, Engineering, Customer Success, Product Enablement, Business Adoption, Risk, Controls, Data/AI Governance, and Lines of Business to help ensure platform capabilities are fit-for-purpose, production-ready, and scalable across APAC markets.

Job responsibilities

• Support APAC technical product discovery with business sponsors, end users, client technology teams, Customer Success, and Business Adoption to identify high-impact Data & AI platform opportunities

• Build and maintain understanding of APAC workflows, user pain points, data flows, technical constraints, regulatory expectations, and adoption barriers across markets and Lines of Business

• Help triage incoming demand to determine the right path (self-serve, product expertise, solution design, new feature development, or APAC-specific capability) and draft clear problem statements and success criteria

• Gather and document APAC-specific platform requirements across functional, data, integration, access/entitlements, controls, and user experience needs, including user journeys and acceptance criteria

• Translate data governance, AI governance, risk and control expectations into platform capability requirements (e.g., approvals, guardrails, lineage, auditability, evidence capture), with guidance from senior partners

• Contribute to defining non-functional requirements where needed (scalability, resilience, performance, security, access control, operational readiness)

• Maintain the APAC technical product backlog (e.g., writing/refining epics and stories); ensure requirements are clear and ready for engineering feasibility assessment, sequencing, and dependency mapping

• Support prioritization discussions by preparing inputs on business value, regulatory relevance, risk/control requirements, user impact, and technical feasibility for APAC CAO/CPO and intake forums

• Provide structured APAC inputs into global/regional platform roadmaps, helping balance regional needs with global strategy to avoid unnecessary fragmentation

• Track adoption/usage and delivery outcomes; help convert learnings into backlog improvements and product documentation updates

• Communicate status, priorities, and trade-offs to stakeholders; support the creation of product briefs and decision materials for governance and leadership forums

Required qualifications, capabilities, and skills

• Bachelor’s degree in Computer Science, Business, Mathematics, Artificial Intelligence, or related field

• 5+ years of experience in product management, technical program delivery, platform/product operations, data/AI platforms, enterprise technology products, or related roles

• Working understanding of data and AI platform capabilities (data management, analytics enablement, AI/ML enablement, governance, lineage, data quality, access controls/entitlements, adoption)

• Ability to translate business problems, regulatory requirements, and technical constraints into well-structured requirements, user journeys, and acceptance criteria (with support where needed)

• Technical fluency across data flows, APIs, platform concepts, integration patterns, and technical documentation; comfort discussing non-functional requirements with engineering partners

• Experience partnering with engineering teams to clarify requirements and support delivery, while maintaining focus on the “what/why/for whom”

• Sound judgment and ability to weigh trade-offs across value, urgency, feasibility, risk, and platform strategy with guidance from senior product leaders

• Experience in financial services or another regulated environment (preferred but not required if you demonstrate strong risk/control mindset)

• Strong stakeholder management and collaboration skills across product, engineering, risk, controls, and governance partners

• Strong written and verbal communication skills, including drafting product briefs, requirement documents, and prioritization recommendations

• Ability to work through ambiguity, structure problems, and drive alignment across regional and global stakeholders

Preferred qualifications, capabilities, and skills

• Exposure to enterprise data platforms, AI/ML platforms, cloud analytics platforms, data marketplaces, internal developer platforms, or internal user platforms

• Experience in a CDAO/data office, analytics/AI function, platform product organization, or enterprise transformation program

• Experience supporting platform adoption across multiple countries, Lines of Business, or regulated jurisdictions

• Familiarity with data governance, data quality, lineage/metadata, access management, and AI/model governance expectations

• Experience defining requirements for APIs, data products, workflow tools, self-service platforms, analytics capabilities, or AI/ML enablement platforms

• MBA, Master’s degree, or advanced technical/product qualification (a plus)

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=b2ef3b8bb386dac0b39f5d84a74d450e

Location: Pasir Panjang

Working Hours:
Mon - Thu: 8.30am to 5.00pm
Fri: 8.30am to 4.00pm

Salary: Up to $5,500/month

Job Responsibilities:

• Perform monthly cost analysis and budget variance reviews, identifying trends, discrepancies and cost overruns.
• Prepare reports and summaries to support management decision-making and operational planning.
• Assist in forecasting, budgeting and cost monitoring activities.
• Coordinate with Finance to ensure timely and accurate invoice processing and cost allocation.
• Investigate and resolve discrepancies between operational records and financial postings.
• Support payroll administration, including verification of payment requests, claims and payroll-related records.
• Maintain accurate documentation and records for audit and reporting purposes.
• Liaise with internal stakeholders and external service providers to obtain and verify required information.
• Support process improvement initiatives and workflow optimisation projects.
• Perform other duties as assigned.

Requirements:

• Minimum Diploma or Degree in any discipline.
• Experience in data analysis, reporting, budgeting, cost control or financial analysis.
• Strong analytical and numerical skills with high attention to detail.
• Proficient in Microsoft Excel and data analysis tools.
• Ability to interpret data, identify trends and explain variances clearly.
• Prior experience in payroll, finance, operations or cost analysis will be advantageous.

Ally (Kubota Ayako)
CEI Reg. No. R26161457
EA Lic: 99C4599
Recruit Express Pte Ltd