Responsibilities:

• Provide excellent customer success services to enterprise clients, establish mutually trusting collaborative relationships, and assist enterprise clients in deriving business value and success from the Huawei Cloud Service Platform solution architecture.
• Possess a profound understanding of data governance products and application scenarios, accurately discern the genuine perspectives of different roles such as customers and partners, and effectively guide solutions.
• Deep understanding and master data governance products, aiding customers in building solutions based on their specific requirements..
• Support the expansion and replication of platform product projects, contributing to the commercial success of these products.

Requirement：

• Bachelor Degree /or above, in Software Engineering, Telecom or equivalent.
• Possess over 5 years of IT-related work experience in relevant industries, with a strong inclination towards innovation, rapid learning adaptability, and a willingness to engage in forward-looking work.
• Preferred experience in data analysis, data modeling, data mining, and business insight projects.
• Familiarity with any of the following business domains: cloud computing, big data, artificial intelligence, machine learning, and the Internet of Things (IoT).
• Specific industry know-how or familiarity with related industry background knowledge is advantageous.
• Experience in planning, designing, and implementing projects in the fields of cloud services and artificial intelligence.
• Experience in solution design, including customer research, business model analysis, solution document writing, and effective communication and collaboration skills.
• Fluent in Chinese and English (to liaise with mandarin speaking associates in HQ).

Job Description

The Data Center Facilities Manager plays a critical role in ensuring the smooth and reliable operation of our data centre infrastructure. You will be responsible for overseeing all aspects of the facility's operation, including power, cooling, fire protection, security, and environmental controls. Other responsibilities include managing data center floor space and security. You will also lead a team of outsourced technicians and contractors, to manage projects, and ensure compliance with all relevant regulations.

Key objectives are to:

•Maximize uptime: Ensure the data centre infrastructure meets the required availability levels and minimizes downtime, preventing outages, service and data loss.

•Maintain system redundancy: Implement and manage redundant systems for critical infrastructure to ensure smooth operation even during maintenance or unexpected events. Ensure maintenance regime is adhered to and any arising gaps remediated in a timely manner.

•Control operational expenses: Manage budgets effectively and find cost-saving opportunities for maintenance, upgrades, and external services

•Plan and strategize data center requirements to meet SIA current and future IT roadmap.

Responsibilities:

Lead and manage:

•A team of outsourced data centre technicians and contractors, providing guidance, training, and performance feedback.

•Projects related to the maintenance, upgrade, and expansion / optimization of the data centre infrastructure.

•Hosting sites are run as per SLA and within limits of key data centre operating parameters for power cooling and environmental settings

•Emergency response plans for diverse scenarios like power outages, fires, or natural disaster

Ensure optimal performance:

•Of critical infrastructure systems, including power distribution, cooling systems, fire suppression systems, and security systems.

•Of the data centre environment, maintaining optimal temperature, humidity, and air quality.

•Of operational efficiency and resource utilization.

Plan and execute:

•Preventive maintenance schedules and corrective actions for identified issues.

•Emergency response procedures in case of power outages, equipment failures, or other disruptions.

•Budgetary allocation and resource management for the data centre facilities.

Maintain compliance:

•With all relevant safety, environmental, and regulatory standards.

•Lead and manage data center audits

•Documentation for all systems and procedures.

Collaborate:

•With IT and other teams to ensure the smooth integration of data centre operations with other critical functions.

•With external vendors and service providers to maintain and upgrade equipment and systems.

Data Cente strategy and migration:

•Responsible for providing Data centre design and construction inputs, sustainability initiatives, and energy efficiency optimization

•Work with IT team for data centres space and power requirements

•Work with and support IT team for any data centre migration as required

•Responsible for writing Datacenter related tenders such as maintenance contract, co-location sourcing etc. and writing management approval papers.

Requirements

•Bachelor’s degree in electrical or mechanical engineering with minimum 5 years relevant industry experience or Diploma in electrical engineering with a minimum of 10 years of experience in datacentre infrastructure and facility management

•Familiar with fire safety rules and regulations associated with operating complex datacenter infrastructure

•Proficient in data centre monitoring and management software

•Familiar with data center fiber and structure cabling would be a added advantage

•Possess Datacenter certification eg. CDCP, CDFOM

•Familiar with TIA-942-B design standards for Datacenter, Uptime Standards and ASHRAE requirements

•Familiar with IT hardware specifications and computer racking requirements for datacenter space and power planning.

•Excellent organizational/administrative skills as well as strong communications & interpersonal skills

•Must be a positive, collaborative, active excellent problem-solver, being customer service oriented and conscientious.

•Willing to work on non-office hour and weekend including public holidays

Role and Responsibilities

Perform health monitoring of the DC M&E equipment.

Attend to users’ request related to DC FM

Assist with cabling works within the DC.

Monitor ticketing system and follow up on necessary actions.

Prepare risk register for vulnerabilities devices, inclusive of vulnerabilities assessment scanning.

Ensure all DC asset movement activities are updated.

Assist DC manager and Team lead in reporting generating.

Requirements:

· Required to be on 24 x 7 standby.

· Displays willingness to learn and is committed to providing service level excellence in everything that he / she does.

· Able to articulate effectively and work well within a team.

· Proficiency in Microsoft office.

· Comfortable with 12 hours shift.

Craft Data-Driven Solutions and Shape the Future of Ticketing

Join Singapore's leading ticketing marketplace, a company with a 30-year legacy of delivering exceptional experiences in the arts, culture, sports, and entertainment industries. As a Business Intelligence Analyst, you'll play a pivotal role in harnessing the power of data to propel our organization to new heights.

Unleash Your Data Expertise

Are you a data maestro with a passion for problem-solving and a knack for translating complex data into actionable insights? If so, we're eager to have you join our team of data enthusiasts. Your expertise will be instrumental in shaping our data-driven culture and driving business success.

Your Impactful Contributions

• Delve into our diverse event portfolio and devise innovative business solutions that resonate with our clients across all industries.
• Cultivate exceptional client relationships, uncovering their needs to deliver tailor-made BI solutions that empower their growth.
• Collaborate with our team of Data Engineers, Analysts, and Science gurus to build and maintain cutting-edge analysis and reporting capabilities.
• Transform data into compelling narratives and insights, captivating stakeholders with your data storytelling abilities.
• Embark on data mining and statistical expeditions, uncovering hidden gems that enhance our business performance.
• Partner with teammates to architect robust data marts and introduce smart, adaptable metric frameworks that supercharge our analytics and streamline our BI processes.
• Team up with cross-functional team members, wielding data as your weapon to solve their business challenges.
• Uphold the highest standards of data quality across all our BI assets, ensuring the integrity of our decision-making processes.
• Drive efficiency and resource optimization through continuous improvement in data processing strategies.
• Champion data democratization across the organization, making data accessible and usable for all.
• Share the benefits of our BI ecosystem with our business users, empowering them to tap into existing reports and insights.
• Embrace change and ride the waves of evolution in the dynamic world of BI, adapting to new technologies and methodologies with enthusiasm.
• Stand as the guardian of our data kingdom, meticulously maintaining our data bible, dictionary, and glossary for all our reports and dashboards.

If you thrive in a fast-paced, dynamic environment and seeks to revolutionize the way data drives decisions in the entertainment industry, we'd love to have you join our team!

Job Requirements

• At least 1-3 years of experience working in a BI or analytics function preferably.
• Good working knowledge on SQL and R/Python to perform data querying, building BI models and conducting data analysis.
• Experience in data analysis and deep-dive analysis
• Strong data visualisation skills using Tableau, Qlik, PowerBI, Microstrategy or other relevant visualisation tools.
• Good understanding of ETL/ELT concepts and their relevant use cases
• Experience in gathering BI requirements and structuring specifications to produce business-relevant datasets and ensure data quality of the dataset.
• Passion for democratizing data effectively to the wider organization for self-serve
• Keenness to innovate and improve the BI process beyond basic reporting, seeking ways to add value so that the organisation can consume data more effectively.
• Strong communication skills, able to collaborate effectively with both sides of the business and technical divide.
• A self-starter mindset who takes ownership and excels in a lean and fast-paced organisation.
• Knowledge of Statistics & Machine Learning is a plus.
• Team Player with the ability to work across a matrix environment in a fast-paced environment and constantly evolving environment.

Perks that Elevate Your Career Journey

• Mentorship and Career Guidance: Receive personalized mentorship and career guidance to fuel your professional growth and aspirations.
• Inclusive and Collaborative Culture: Immerse yourself in an atmosphere of inclusion and collaboration, where diverse perspectives and teamwork drive innovation.
• Regional Network Connections and Opportunities: Expand your network and access a wealth of opportunities through our regional connections.
• Constant Innovation and Discovery Challenge: Embrace a culture of continuous innovation and discovery, where challenges become catalysts for growth.
• Fun and Product-Focused Culture: Enjoy a vibrant and product-focused culture, where creativity and passion are celebrated.

Job Description

The senior data engineer is a senior software developer with strong software engineering skills who is responsible for building custom open-source-based data ingestion and MLOps platforms. He/she has deep appreciation of the complexity of the data engineering process, such as the challenges of data ingestion involving large or near-real-time datasets, the maintenance of high data quality, and the importance of automation for increasing pipeline robustness and reducing the need for human intervention.

Key Responsibilities include:

• Be an effective distributed-system implementer in the following core activities:

1. Design and develop data engineering services and their ecosystem using distributed databases (relational, columnar, graph, in-memory); orchestration (Apache Airflow); and distributed stream/batch data processing (Kafka, Kinesis, Spark).
2. Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.
3. Design data models for mission-critical, high-volume, near-real-time/batch data; build idempotent/atomic production data pipelines to make data ingestion more fault tolerant.
4. Design and develop intuitive, highly automated, self-service data platform functions for business users.

• Explore, evaluate and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements

• BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.
• 3+ years of relevant industry experience in some or most of the following technical areas:

1. Advanced programming skills in Python. Conversant with data structures and algorithm design.
2. Experience in building data pipelines (including data collection, warehousing, processing, analysis, monitoring, and governance) using open-source data ingestion platforms.
3. Intermediate-level knowledge and experience with AWS cloud components and best practices. Good understanding in deploying data stores such as S3, RedShift, Elasticache, PostgreSQL, and ClickHouse.
4. Prior experience in modern software development is required (such as web frontend UI, backend API microservices, understanding of CI/CD and Scrum/Kanban agile development). Strong grasp on object-oriented or functional programming (using e.g. Python, Java, Scala, or C#).

The Head, Data will play a key role in the Digital and Information Technology department, support the Director in developing data analytics and AI strategy and initiatives. He/she will take responsibility in overseeing the development of the IT data analytics platform, managing teams, and ensuring efficient and effective of data to support business decision.

RESPONSIBILITIES

• Assist Director in developing and implementing the organization's data analytics and AI strategy in alignment with its business goals and objectives;
• Lead, manage and mentors a team of analytics and AI professionals of different backgrounds; promoting collaboration, and ensuring effective communication and coordination;
• Identify training and development needs, providing opportunities for skill enhancement and career growth for team members;
• Establish data governance policies and procedures to ensure data quality, security and compliance with regulatory requirements, ensure effective data management and utilization;
• Manage projects progress, identify and mitigate risks, and resolve any issues or challenges;
• Collaborate with business stakeholders, other IT teams and partners, to identify data-driven and AI opportunities and drive business value;
• Oversee the design and implementation of data infrastructure, architecture and systems, including data warehouses, data lakes, and business intelligence tools;
• Ensure utilization and adoption of developed analytics products by embedding data and insights into digital applications and business processes;
• Perform outsourcing management to ensure that contractual obligations are met and projects needs; Manages vendor relationships and ensure vendors fulfill per contract requirements;
• Manage IT procurement, evaluate vendor proposals, make recommendations for vendor selection and procurement decisions;
• Ensure compliance with applicable laws, regulations and industry standards regarding data privacy, security and IT operations;
• Stay current with industry trends, emerging technologies, and best practices in data management and analytics;
• Foster positive relationships and effective communication channels;
• Brief and train business stakeholders on developed analytics products;
• Maintains and updates the quality records according to the standard guidelines on identification, filing, storage, maintenance, and disposition of these records.
• Covers duties of fellow colleagues in their absence
• Performs any other job related duties as assigned.

REQUIREMENTS

• Bachelor’s or Master’s degree in computer science, information systems, statistics, or a related field.
• More than 10 years of working experience with at least 3 years in managing team, with track record of managing data analytics projects
• Strong understanding of data governance, data quality, data security and regulatory compliance requirements.
• Excellent Interpersonal and leadership skills to manage multiple projects at one time with the ability to work in a fast-paced environment
• Good knowledge of project management both waterfall and agile include managing contracts, project budgets, work breakdown structures, and systems integration
• Proficiency in data technologies and tools, such as SQL, Hadoop, Spark, Python, R, Tableau and machine learning framework
• Strong understanding of cloud-based data platform and analytics technologies (e.g Azure data factory, databricks etc)
• Familiarity with AI tools and their application in enhancing data insights and user efficiency
• Strong strategic thinking and problem solving abilities
• Possess healthcare domain knowledge

Roles and Responsibilities

● Design, develop and maintain models (machine learning / simulation) and optimization methods to support business and operational processes.

● Develop the pipelines to train, validate and deploy these models across various environments.

● Design product experiments and interpret the results yielding impactful conclusions.

● Perform statistical data analysis & visualization to find answers and new insights to important business questions.

● Participate in technical discussions across the team through code reviews, RFC or architecture review sessions.

Requirements

● At least 2 years of experience working as a Data Scientist or an advanced (Masters, PhD) degree in a related field (computer science, statistics / mathematics, operations research, economics, etc).

● Strong knowledge of data science fundamentals and statistics, with experience in data analysis, modelling (machine learning / simulation)and optimization methods such as linear programming.

● Good understanding of experimental design and methodologies such as A/B testing or multi-arm bandits.

● Experience with modern software development practices: version control, refactoring, unit tests.

● Proficient in Python or R, SQL (PostgreSQL preferred).

● Experience applying data science in end-to-end production use cases: from data cleaning, feature engineering through to model training and inference.

Preferred qualifications

● Experience with geospatial analysis.

● Experience with real-time inference.

● Experience with time series forecasting, pricing strategies.

● Hands-on experience with ride-hailing/car-sharing use cases, consumer apps, or adtech/martech use cases.

● Familiar with AWS data analytics services.

● Experience with FastAPI (Python), Flask (Python), or similar.

● Experience with Spark.

● Experience deploying models to production.

As a Package Consultant at IBM, get ready to tackle numerous mission-critical company directives. Our team takes on the challenge of designing, developing and re-engineering highly complex application components and integrating software packages using various tools. You will use a mix of consultative skills, business knowledge, and technical expertise to effectively integrate packaged technology into our clients' business environment and achieve business results.

This is a complex migration project to transition from multiple SAP ECC systems to a single, centralized SAP
S/4HANA instance. This critical initiative will streamline our operations, improve data quality and accessibility, and ultimately enhance our business efficiency. To spearhead the data migration efforts, we seek a highly experienced and qualified Senior Data Lead

Key Responsibilities:

• Strategic Data & Migration Leadership:
• Develop and implement a comprehensive data migration strategy for multiple SAP ECC systems to S/4HANA using Syniti Data migration MDM tool.
• Lead the global data migration team, motivating and mentoring team members across different locations.
• Collaborate closely with the client's global lead to ensure alignment and address their concerns.
• Maintain clear and consistent communication with stakeholders through periodic reports and presentations, highlighting milestones, progress, and potential risks.
• Implement an early warning system to proactively identify and address any potential delays in the migration timeline.
• Technical Data Migration Expertise:
• Define data mapping rules and transformations for seamless integration between ECC and S/4HANA.
• Oversee data cleansing and quality improvement activities, ensuring accurate and consistent data in the new system.
• Design and implement robust testing procedures to guarantee data integrity and functionality after migration.
• Manage data security and compliance throughout the migration process.
• Project Management & Communication:
• Develop and maintain detailed project documentation, including data migration plans, reports, and procedures.
• Monitor project progress against timelines and budgets, proactively mitigating risks and managing deviations.
• Communicate effectively with stakeholders across the organization, keeping everyone informed about progress, challenges, and decisions.

Required Professional and Technical Expertise :

• Minimum 8 to 12 years of experience leading data migration projects for SAP implementations.
• Proven expertise in SAP S/4HANA data migration using Syniti Data migration MDM tool.
• Strong understanding of SAP ECC data structures and processes.
• Solid knowledge of data modeling, cleansing, and quality management techniques.
• Excellent analytical and problem-solving skills.
• Exceptional communication, collaboration, and leadership skills.
• Demonstrated ability to manage projects effectively under pressure and within tight deadlines.
• Experience working in a fast-paced and agile environment.

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

Basic (no experiene / fresh)-start from $2400+OT+allowances>$3K++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

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

Requirements

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

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

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

We are seeking an accomplished Application Architect with a strong focus on SAP HANA Master Data Governance to join our innovative Information Technology team. In this role, you will be responsible for the designs, development and support of enterprise level master data solution using SAP Master Data Governance and/or other SAP Master Data Management solutions. Your excellent presentation and communication skills will be essential in conveying complex technical concepts to both technical and non-technical stakeholders.

Key Responsibilities:

• Lead the design of complex master data solution.
• Provide guidance to the implementation team during the entire project life cycle involving products like SAP MDG, SAP MDM etc.
• Lead the master data governance team, motivating and mentoring team members.
• Provides effort and time estimates for MDM activities and identify & manage dependencies.
• Applies, reuses, and integrates existing business logic and infrastructure to validate & govern data.
• Develop comprehensive plan for the execution of MDM project activities.
• Collaborate closely with the client to ensure alignment and address their MDM requirements.
• Maintain clear and consistent communication with stakeholders through periodic status reports and presentations, highlighting milestones, progress, and potential risks.
• Proven experience to lead the MDG track comprising Materials, Business Partners, Finance Objects as well as work with Utopia for Plant Maintenance Objects.

Required Professional and Technical Expertise :

• Minimum 10 years of experience leading and executing SAP Master Data Governance projects.
• Proven expertise in SAP Master Data Governance and/or other SAP Master Data Management solutions.
• Solid knowledge of SAP Master Data Governance processes and best practices.
• Expertise with controlling master data flow between SAP and non-SAP applications with predefined data models.
• Excellent analytical and problem-solving skills.
• Exceptional communication, collaboration, and leadership skills.
• Experience working in a fast-paced and agile environment.

Reporting and Analytics Developer/Data Engineer

Job Summary

We are seeking a highly skilled and experienced Big Data Engineer to join our team. The ideal candidate must have a minimum of 4 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data Platform. Overall experience can be 5 to 10 years.. The successful candidate will be responsible for designing, developing, and maintaining the data ingestion and processing jobs as per business requirements. Candidate will also be integrating data sets to provide seamless data access to users.

Key Responsibilities

• Analyze the Authority’s data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues - Track record in implementing systems with high availability, high performance, high security

What we are looking for

• Good understanding and completion of projects using waterfall/Agile methodology.

• Good understanding of analytics and data warehouse implementations.

• Ability to troubleshoot complex issues ranging from system resource to application stack traces.

• Strong SQL, data modelling and data analysis skills are a must.

• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.

• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.

• Passion for automation, standardization, and best practices

• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.

We have 2 opening for Data Center Batch Operation position (1 year contract under employment agency payroll)

Suitable for Singaporean individuals with a Nitec in IT, in good physical health to commit to a 12 hour rotating shift (2 Days, 2 Off, 2 Nights pattern), eager to learn about batch operation management, and able to commit to a full 1 year contract (Training provided)

Work location: Novena, Revenue House
Working Hours: 12 hours rotating shift, (2Day, 2Off, 2Night pattern, need to work on weekend and public holiday as per duty roster)

• Day Shift: 7.30 am to 7.30 pm
• Night Shift: 7.30pm to 7.30am

Salary inclusive of Shift allowance and Public Holiday allowance: $2400 - $2950

Incentive of performance bonus up to 1 month basic salary subject to reporting manager’s appraisal, 10 days Annual leave, 14 days Medical Leave & benefits, Group Insurance coverage

The primary responsibilities for this position include batch monitoring and execution.

Job scope of DC Operation (Batch Operation):

• Support and monitor the wellbeing of the Data Centre
• Support & Monitoring / Execution Batch operation jobs
• Support & manage the wellbeing of Safe Keepers (Account IDs)
• Undertake weekly/Monthly envelopes inventory etc..
• Perform request fulfilment to register customer request etc Adhoc / Data Recovery SR)
• Provide Operation support during IRAS DR pertaining to Batch execution.
• Coordinate with Batch owner to Batch job failure timely.
• To work cohesively with customer / inner team

Requirements:

• Must be keen to go into data center batch monitoring and executing jobscope
• Singaporean (Need to clear G50 security clearance)
• Able to commit to 12 hours Rotating Shift (2Day, 2off, 2Night pattern, need to work on weekend and public holiday)
• Must be able to commit for the full 1 year contract
• Willing to learn and punctual for work
• Open to candidates without prior experience in Data Centers, on job training will be provided

The role will be responsible for managing Platform and Data Services (PDS) operational risk and control activities across multiple clusters within Asia (Asia North & Australia and Asia South and Japan Clusters). This will involve working closely with product teams and senior management to monitor, maintain and enhance the risk and control framework.

Excellent communication skills are required in order to negotiate internally, often at a senior level. Strong commercial awareness is a necessity.

Well-developed diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasionally external customers.

This role will work in conjunction with the global Controls & Regulatory Management (CRM) team as part of a holistic approach across the Treasury & Trade Solutions (TTS) business.

The PDS Controls SVP is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Typically a small number of people within the business that provide the same level of expertise.

Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers.

Accountable for significant direct business results or authoritative advice regarding the operations of the business. Necessitates a degree of responsibility over technical strategy.

Responsibilities:

• Assist the PDS business in key policy adherence and monitoring.
• Keep management aware of the risk and control environment within PDS through continuous and open communication, by participating in Risk Control Forums with senior management to present and follow-up on issues, concerns and corrective action plans.
• Update and maintain a robust Manager’s Control Assessment (MCA) in compliance with the Citi Operational Risk Policy.
• Ensure adherence to the Citi Operational Risk Policy in regard to operational loss approvals and reporting.
• Ensure that the business has a sound control environment from an information security perspective, including adherence to relevant policies where appropriate.
• Responsible for the coordination of key projects in respective regions and occasionally on the global level.
• Participate as the facilitation contact for audits, working with product leads, and ensure that requests are timely and appropriately provided.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Specific responsibilities will involve:

• Regulatory change management/coordinating impact assessments
• Oversight for issues and action plans
• Preparation and coordination of product based Risk & Control Forums (RCF)
• Manager’s Control Assessment (MCA) support/Activity, Risk, Control & Monitoring (ARCM) creation/testing
• Reviewing/tracking Product Approval Program (PAP) renewals
• Providing third party oversight for local vendors (if any)
• Oversight for records management
• End User Computing (EUC)/model oversight and review/analysis of new potential EUC’s
• Raising/tracking Information Security Incidents (SIRTs)
• Providing Financial Crime (AML & Sanctions) escalation/monitoring

Qualifications:

• Around10 years of experience in Operational Risk Management, Audit, compliance or other control function.
• Knowledge of digital product offerings.
• Familiarity with 3rd party risk models.
• Consistently demonstrates clear and concise written and verbal communication skills.
• Able to influence senior levels in the product organization and possess excellent judgement when escalating issues.
• Able to work independently while coordinating with other clusters, global controls & regulatory management, and product teams.
• Build strong relationships with product teams, 2nd Line of defense, Internal Audit.

Education:

• Bachelor’s/Universitydegree or equivalent experience, Master’s degree is "Good to have"

Additional Job Description

Risk and Controls SVP focused on Asia Clusters/Japan for PDS; responsible for regulatory change management/coordinating impact assessments, oversight for issues and action plans, MCA support/ARCM creation/testing, reviewing/tracking PAP renewals, third party oversight for local vendors, records management, and EUC/model oversight. and tracking incident/SIRTs, AML and Financial Crimes escalation/monitoring, and RCF submissions.

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
   
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
   
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.
   

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Key Skills:

· Strong AWS knowledge in terms of designing new architecture and providing optimized solution for existing one.

· In-depth knowledge with respect to Snowflake and its architecture.

· provide solutioning and drive the implementation of DOPS features which includes - building IAC infra, Git Lab re-structuring, Git lab Upgrades monitoring etc.,

· Should have the vision on data strategy and able to deliver the same.

· Should be able to lead the design and implementation of data management processes, including data sourcing, integration, and transformation.

· Able to manage and lead a team of data professionals, providing guidance, mentoring and foster a collaborative and innovative team culture focused on continuous improvement.

· To evaluate and recommend data-related technologies, tools, and platforms.

· Collaborate with IT teams to ensure seamless integration of data solutions.

· should have experience in Implementing and enforce data security protocols and ensure compliance with relevant regulations.

Required Qualifications:

· Experience as a Lead – 5+ years.

· Bachelor qualification in a computer science or STEM (science, technology, engineering, or mathematics) related field.

· At least 8+ years of strong data warehousing experience using RDBMS and Non-RDBMS databases.

· At least 5 years of recent hands-on professional experience (actively coding) working as a data engineer (back-end software engineer considered).

· Professional experience working in an agile, dynamic and customer facing environment is required.

· Understanding of distributed systems and cloud technologies (AWS) is highly preferred.

· Understanding of data streaming and scalable data processing is preferred to have.

· Experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred.

· At least 2+ years of experience in ETL (AWS Glue), Amazon S3, Amazon RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step Functions.

§ Strong knowledge in scripting languages like Python, UNIX shell and Spark is required.

· Understanding of RDBMS, Data ingestions, Data flows, Data Integrations etc.

· Technical expertise with data models, data mining and segmentation techniques.

· Experience with full SDLC lifecycle and Lean or Agile development methodologies.

· Knowledge of CI/CD and GIT Deployments.

· Ability to work in a team in diverse/ multiple stakeholder environment.

· Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams.

Responsibilities:

· Work with stakeholders to understand needs for data structure, availability, scalability, and accessibility.

· Develop tools to improve data flows between internal/external systems and the data lake/warehouse.

· Build robust and reproducible data ingest pipelines to collect, clean, harmonize, merge, and consolidate data sources.

· Understanding existing data applications and infrastructure architecture

· Build and support new data feeds for various Data Management layers and Data Lakes

· Evaluate business needs and requirements.

· Support migration of existing data transformation jobs in Oracle, and MS-SQL to Snowflake.

· Lead the migration of the existing data transformation jobs in Oracle, Hive, Impala etc. into Spark, Python on Glue etc.

· Able to document the processes and steps.

· Develop and maintain datasets.

· Improve data quality and efficiency.

· Lead Business requirements and deliver accordingly.

· Collaborate with Data Scientists, Architect and Team on several Data Analytics projects.

· Collaborate with DevOps Engineer to improve system deployment and monitoring process.

Soft Skills

· Ability to work in a collaborative environment and coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.

· Ability to work in a dynamic, agile environment within a geographically distributed team.

· Ability to focus on promptly addressing customer needs.

· Ability to work within a diverse and inclusive team.

· Technically curious, self-motivated, versatile and solution oriented.

As a member of Team Central Provident Fund (CPF), you will play a crucial role in helping over 4 million members save for their retirement, healthcare, and housing needs as well as helping them cope with life’s uncertainties. With a fulfilling career, career growth, and development opportunities, you will be part of a big family of dedicated professionals. Join us and champion financial security for Singaporeans while leaving a lasting legacy.

Our Policy, Statistics and Research (PSR) functions play a vital role in influencing CPF policies and operations. Data informs many of the decisions we make in our PSR functions; and to perform our roles well, CPFB has embarked on a journey to become Data-Smart. In support of that, you will design and implement strategic plans to drive the Board’s Data-Smart journey. You will also be part of a team that builds data science capabilities to help the Board extract value from data for effective business decisions and policy-making.

What you will be working on

• Develop and align the implementation of the Board’s strategic plan, aimed at achieving Data-Smart ambitions. This includes driving initiatives for pervasive data utilisation throughout the Board, cultivating a comprehensive set of high-quality data and building robust data science competencies in the Board.
• Monitor the progress of our Data-Smart journey and provide management with recommendations for modifications to the strategy and plans.
• Collaborate with key stakeholders and departments to strategize, coordinate and execute organisation-wide Data-Smart Initiatives.
• Elevate the Board’s data science competencies by ensuring the data science competency framework is updated, curating relevant training modules; and conducting training.
• Formulate and implement engagement plans for the Board’s data science community of practice.

What we are looking for

• At least 4 years of work experience in developing and implementing data strategies, with a focus on driving data utilisation initiatives.
• Good experience in monitoring and evaluating the progress of data-driven initiatives and providing strategic recommendations for modification.
• Good knowledge of the latest trends and advancements in data science, analytics, and technology.
• Good written and verbal communication skills to effectively convey complex data-related concepts to diverse audiences.
• Good problem-solving abilities and a proactive approach to addressing challenges in data strategy implementation.
• Ability to thrive in a dynamic and evolving organizational environment.

The successful candidate will hold the corporate title of Manager/Senior Manager, with seniority based on individual work experiences.

What you can expect

• A challenging and rewarding career
• A variety of formal and informal training to enhance your skills in the evolving technology landscape
• Promotion opportunities based on your capability and on-the-job performance
• A friendly work environment with like-minded colleagues to co-create and collaborate together
• A hybrid work model allowing remote work for up to 50% of the time, contingent upon the exigencies of service
• A productive yet growth-oriented workplace with a flexible dress code empowering you to decide your appropriate outfit for the day
• A comprehensive rewards package
• Annual leave and pro-family leave
• Medical and dental benefits
• Access to recreational activities
• Position is on a 1-year full-time contract directly under the payroll of CPF Board with an option to renew, contingent upon confirmation and subject to organisational needs. Additionally, there is potential for emplacement into a permanent position

Job Responsibilities

• Study, analyse and understand business requirements in context to business intelligence.
• Design and map data models to shift raw data into meaningful insights.
• Utilize Power BI to build interactive and visually appealing dashboards and reports.
• Ensure data is cleansed, mapped, transformed and otherwise optimised for storage and use according to business and technical requirements.
• Automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)
• Build data pipelines to collectively bring together data.
• Design and implement written code.
• Test data from source to the presentation layer.
• Support and troubleshoot data pipelines.
• Other responsibilities include extracting data, troubleshooting and maintaining the reporting platform.

Job Requirements

• Bachelor’s degree in Information Technology, Computer Science, Manage Information Science, Banking and Finance or equivalent.
• Min. 5 years of experience in Data Analytics, Realtime data integration and Business Intelligence
• Experience in building and optimising ‘big data’ data pipelines, architectures, and datasets.
• Strong analytic skills related to working with unstructured datasets.
• Experience in Azure data integration tools e.g., Azure Synapse, Azure Data factory,
• Experience in Power BI report delivery.
• Knowledge in traditional ETL.
• Knowledge in financial sector technologies, products and services will be an advantage.
• Able to multi-task in a challenging technical environment to deliver high quality solutions.
• A meticulous team player who has proactive and positive attitude
• Excellent communication, interpersonal and presentation skills

As a member of Team Central Provident Fund (CPF), you will play a crucial role in helping over 4 million members save for their retirement, healthcare, and housing needs as well as helping them cope with life’s uncertainties. With a fulfilling career, career growth, and development opportunities, you will be part of a big family of dedicated professionals. Join us and champion financial security for Singaporeans while leaving a lasting legacy.

The successful candidate will support the Service Monitoring Unit of the Customer Correspondence Unit (CCU) and responsible for managing, analysing data related to customer correspondence, as well as preparing reports and presentations to support CCU's operations.

What you will be working on

• Compile, monitor, and analyse statistics related to the Customer Correspondence Unit (CCU), including the productivity and performance of officers. Present findings through various data visualization formats for comprehensive reporting.
• Dive into data to derive insights on trending topics and issues in operations and perform forecasting to better manage resources and case load.
• Provide assistance to projects leveraging data to gather customer insights and enhance the overall customer experience. Effectively communicate analysis outcomes and key concepts through engaging presentations.
• Support the preparation of presentation decks for internal and external stakeholders to showcase the work/projects under CCU.
• Support operational functions that span across the department or various CCU teams, such as standardising scheme and category tagging across different Customer Relationship Management Systems (CRMS) from various outfits.
• Collate statistics from diverse Customer Correspondence Unit (CCU) teams or outfits. Additionally, contribute to the drafting of the monthly department newsletter, ensuring a harmonized and cohesive representation of information.

What we are looking for

• Proven experience in compiling, monitoring, and analysing statistics with demonstrated experience in working with large datasets.
• Meticulous and systematic tracking of big data use to ensure accuracy in reported statistics.
• Proficient in using data and statistical tools such as Python, Tableau, Power BI, and Excel.
• Competent in using Microsoft Office tools, including PowerPoint and Word.
• Good analytical skills to extract meaningful insights from data.
• Ability to adapt to evolving tasks and responsibilities within a dynamic work environment.

We welcome fresh graduates in any discipline and candidates without working experience to apply.

To allow us gain insight into your academic background, we would request for submission of official or unofficial copy of academic transcript and any other additional documents or certificates that you believe are relevant to your application.

The successful candidate will hold the corporate title of Executive/ Assistant Manager, with seniority based on individual work experiences.

What you can expect

• A challenging and rewarding career
• A variety of formal and informal training to enhance your skills in the evolving technology landscape
• Promotion opportunities based on your capability and on-the-job performance
• A friendly work environment with like-minded colleagues to co-create and collaborate together
• A hybrid work model allowing remote work for up to 50% of the time, contingent upon the exigencies of service
• A productive yet growth-oriented workplace with a flexible dress code empowering you to decide your appropriate outfit for the day
• A comprehensive rewards package
• Annual leave and pro-family leave
• Medical and dental benefits
• Access to recreational activities
• Position is on a 1-year full-time contract directly under the payroll of CPF Board with an option to renew, contingent upon confirmation and subject to organisational needs. Additionally, there is potential for emplacement into a permanent position

Responsibilities:

Assist operations by performing data entry into system and updating when needed

Willing to learn and familiarise the use of relevent programs and tools

Communicate effectively within the team

Filling of documents

Organise and maintain the use of office common area, being tidy

Maintaining the office equiptment and the supplies needed

Requirements:

Past experience are not required but would be benefitial

Proficient with Microsoft Office, mainly Word & Excel, or willing to learn on the job

As a member of Team Central Provident Fund (CPF), you will play a crucial role in helping over 4 million members save for their retirement, healthcare, and housing needs as well as helping them cope with life’s uncertainties. With a fulfilling career, career growth, and development opportunities, you will be part of a big family of dedicated professionals. Join us and champion financial security for Singaporeans while leaving a lasting legacy.

What you will be working on

We are seeking a Data Management Analyst to join the Retirement & Health Study Office (RHSO). The RHSO oversees the Retirement & Health Study, a longitudinal survey involving over 20,000 individuals in Singapore, aimed at understanding how retirement and healthcare demands evolve with age. Over the past decade, the study has tracked the retirement, health, and various outcomes of this cohort, with the data being widely utilized by government agencies and academia for policy decisions. If you are enthusiastic about managing high-quality longitudinal data related to aging, and possess experience in data management and modelling, we encourage you to apply for this exciting opportunity.

Your broad area of responsibilities include

• Undertake a broad range of data quality assurance activities to ensure that the data is error-free, complete, and unbiased.
• Conduct comprehensive data quality assurance activities to ensure accuracy, completeness, and integrity of datasets.
• Implement and enforce quality control measuresthroughout the data lifecycle
• Oversee the organisation, storage, and retrieval of datasets.
• Collaborate with cross-functional teams to establish and maintain efficient data management processes.
• Work on data science projects to enhance the data quality, or execution of the study.
• Collaborate closely with external entities, including survey companies, academic institutions, and government agencies, to coordinate and execute the study's planning.
• Facilitate seamless data sharing processes as part of the collaborative efforts.
• Maintain detailed documentation of data quality processes, methodologies, and project-related activities.
• Create and update documentation to ensure transparency and replicability of processes.
• Identify areas for improvement in data quality and management processes.
• Propose and implement enhancements to optimize efficiency and effectiveness.

What we are looking for

• At least 4 years of experience in data management and quality control.
• Prior experience in statistical data management would be preferred.
• Proficiency in statistical analysis tools and data visualisation platforms.
• Ability to apply relevant statistical and analytical tools as well as techniques for data processing and compilation.
• Good proficiency in programming such as STATA, Python, R.
• Good experience in coordinating and executing study planning activities with external partners.
• Strong communication and collaboration skills to work closely with external entities, including survey companies, academic institutions, and government agencies.

Seniority of appointment will commensurate with relevant work experience.

What you can expect

• A challenging and rewarding career
• A variety of formal and informal training to enhance your skills in the evolving technology landscape
• Promotion opportunities based on your capability and on-the-job performance
• A friendly work environment with like-minded colleagues to co-create and collaborate together
• A hybrid work model allowing remote work for up to 50% of the time, contingent upon the exigencies of service
• A productive yet growth-oriented workplace with a flexible dress code empowering you to decide your appropriate outfit for the day
• A comprehensive rewards package
• Annual leave and pro-family leave
• Medical and dental benefits
• Access to recreational activities
• Position is on a 1-year full-time contract directly under the payroll of CPF Board with an option to renew, contingent upon confirmation and subject to organisational needs. Additionally, there is potential for emplacement into a permanent position

Our client is a well-known Global leading High-Tech MNC. They provide cloud, AI-driven services and transformative solutions to enterprise customers. They are looking for a Data Modeler to join their APAC team.

• Basic + AWS +Bonus(3months)

Responsibilities:

1. Evaluating current data systems and working with data architects and database administrators to design conceptual data models and data flows.

2. Designing, implementing, and documenting data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases to support enterprise information management, business intelligence, machine learning, data science, and other business interests.

3. Defining and governing data modeling and design standards by recommending tools, best practices, development methodologies, and other standards such as naming convention, security, data lifecycle, and retention policy

Requirement:

• Min 5 years in designing and creating data systems, databases, Business Intelligence, Machine Learning, Data Science
• Strong understanding of Data Modelling concepts, techniques, and methodologies
• Proficiency in data modeling tools such as NoSQL data platform technologies, SQL, MySQL, and ETL and data ingestion protocols

Do you have proven track record in Mainframe Db2 Data administration? Are you an expert when it comes to IBM zOS Db2 Administration and SQL scripting?

We’re looking for an IT Mainframe Data engineer – atrium discovery and dependency mapping to:

• integrate the EDP releases according to the EDP release rollout plan

• perform zOS Db2 SQL Tuning

• maintain the zOS Db2 housekeeping

• analyze discovery results and take corresponding actions

• manage RFC and internally built Db2 database artifacts

• provide reports and KPIs

Your team

You’ll be working in the POD Data Integration and Recovery team in Singapore. Our role is to manage the application change requests, implement all the object changes into the different environments, manage Db2 metadata, attend and support installation to production, IPM in context of zOS Db2 and performance tuning monitoring of Db2 changes and consulting for Db2 physical design. As a Mainframe data engineer, you'll play an important role in change and run the bank including CS Transformation.

Your expertise

• ideally 5 years of experience in a similar role, focusing on IBM zOS Db2 Administration, finance sector background a plus

• great IBM zOS Db2 Administration and SQL Scripting skills

• firm grasp of Mainframe zOS operating systems

• knowledge of infrastructure and dependency data, like server and subsystem application relations

• analytical, logical and enjoy solving problems

fluent in English is required to support local client base

Responsibilities:

• Provide excellent customer success services to enterprise clients, establish mutually trusting collaborative relationships, and assist enterprise clients in deriving business value and success from the Huawei Cloud Service Platform solution architecture.
• Possess a profound understanding of data governance products and application scenarios, accurately discern the genuine perspectives of different roles such as customers and partners, and effectively guide solutions.
• Deep understanding and master data governance products, aiding customers in building solutions based on their specific requirements..
• Support the expansion and replication of platform product projects, contributing to the commercial success of these products.

Requirement：

• Bachelor Degree /or above, in Software Engineering, Telecom or equivalent.
• Possess over 5 years of IT-related work experience in relevant industries, with a strong inclination towards innovation, rapid learning adaptability, and a willingness to engage in forward-looking work.
• Preferred experience in data analysis, data modeling, data mining, and business insight projects.
• Familiarity with any of the following business domains: cloud computing, big data, artificial intelligence, machine learning, and the Internet of Things (IoT).
• Specific industry know-how or familiarity with related industry background knowledge is advantageous.
• Experience in planning, designing, and implementing projects in the fields of cloud services and artificial intelligence.
• Experience in solution design, including customer research, business model analysis, solution document writing, and effective communication and collaboration skills.
• Fluent in Chinese and English (to liaise with mandarin speaking associates in HQ).

Job Description

The Data Center Facilities Manager plays a critical role in ensuring the smooth and reliable operation of our data centre infrastructure. You will be responsible for overseeing all aspects of the facility's operation, including power, cooling, fire protection, security, and environmental controls. Other responsibilities include managing data center floor space and security. You will also lead a team of outsourced technicians and contractors, to manage projects, and ensure compliance with all relevant regulations.

Key objectives are to:

•Maximize uptime: Ensure the data centre infrastructure meets the required availability levels and minimizes downtime, preventing outages, service and data loss.

•Maintain system redundancy: Implement and manage redundant systems for critical infrastructure to ensure smooth operation even during maintenance or unexpected events. Ensure maintenance regime is adhered to and any arising gaps remediated in a timely manner.

•Control operational expenses: Manage budgets effectively and find cost-saving opportunities for maintenance, upgrades, and external services

•Plan and strategize data center requirements to meet SIA current and future IT roadmap.

Responsibilities:

Lead and manage:

•A team of outsourced data centre technicians and contractors, providing guidance, training, and performance feedback.

•Projects related to the maintenance, upgrade, and expansion / optimization of the data centre infrastructure.

•Hosting sites are run as per SLA and within limits of key data centre operating parameters for power cooling and environmental settings

•Emergency response plans for diverse scenarios like power outages, fires, or natural disaster

Ensure optimal performance:

•Of critical infrastructure systems, including power distribution, cooling systems, fire suppression systems, and security systems.

•Of the data centre environment, maintaining optimal temperature, humidity, and air quality.

•Of operational efficiency and resource utilization.

Plan and execute:

•Preventive maintenance schedules and corrective actions for identified issues.

•Emergency response procedures in case of power outages, equipment failures, or other disruptions.

•Budgetary allocation and resource management for the data centre facilities.

Maintain compliance:

•With all relevant safety, environmental, and regulatory standards.

•Lead and manage data center audits

•Documentation for all systems and procedures.

Collaborate:

•With IT and other teams to ensure the smooth integration of data centre operations with other critical functions.

•With external vendors and service providers to maintain and upgrade equipment and systems.

Data Cente strategy and migration:

•Responsible for providing Data centre design and construction inputs, sustainability initiatives, and energy efficiency optimization

•Work with IT team for data centres space and power requirements

•Work with and support IT team for any data centre migration as required

•Responsible for writing Datacenter related tenders such as maintenance contract, co-location sourcing etc. and writing management approval papers.

Requirements

•Bachelor’s degree in electrical or mechanical engineering with minimum 5 years relevant industry experience or Diploma in electrical engineering with a minimum of 10 years of experience in datacentre infrastructure and facility management

•Familiar with fire safety rules and regulations associated with operating complex datacenter infrastructure

•Proficient in data centre monitoring and management software

•Familiar with data center fiber and structure cabling would be a added advantage

•Possess Datacenter certification eg. CDCP, CDFOM

•Familiar with TIA-942-B design standards for Datacenter, Uptime Standards and ASHRAE requirements

•Familiar with IT hardware specifications and computer racking requirements for datacenter space and power planning.

•Excellent organizational/administrative skills as well as strong communications & interpersonal skills

•Must be a positive, collaborative, active excellent problem-solver, being customer service oriented and conscientious.

•Willing to work on non-office hour and weekend including public holidays

As a member of Team Central Provident Fund (CPF), you will play a crucial role in helping over 4 million members save for their retirement, healthcare, and housing needs as well as helping them cope with life’s uncertainties. With a fulfilling career, career growth, and development opportunities, you will be part of a big family of dedicated professionals. Join us and champion financial security for Singaporeans while leaving a lasting legacy.

What you will be working on

• Develop and implement data analytics strategies to enhance audit procedures and methodologies, incorporating emerging technologies and best practices.
• Lead initiatives to automate audit processes and workflows, leveraging data analytics and machine learning capabilities to drive efficiency and accuracy.
• Collaborate with IT teams to ensure data integrity and accessibility
• Utilise computer-assisted audit tools such as ACL or programming languages like Python, R, etc., to conduct comprehensive audits with a focus on data analysis.
• Conduct data analytics tests to support Business Audits, ensuring thorough examination of relevant datasets.
• Collaborate closely with other auditors and external stakeholders (Business and IT) to gain insights into processes and systems, and design tailored data analytics tests to meet audit objectives effectively.
• Execute continuous auditing assignments using advanced data analytics techniques, ensuring ongoing monitoring and evaluation of key audit areas.
• Take ownership of IT audit planning and execution processes, leveraging data analytics tools and methodologies to enhance audit efficiency and effectiveness.
• Engage in advisory, educational, and ad hoc projects to provide valuable insights and recommendations based on data analysis findings.
• Manage and oversee independent IT auditors, including outsourced IT auditors and AGO, ensuring alignment with audit standards and objectives.
• Conduct thorough investigations as needed, leveraging data analytics capabilities to identify potential issues or anomalies.
• Lead the annual audit planning process, collaborating with relevant stakeholders to prioritize audit areas and allocate resources effectively.
• Provide secretariat support to the Audit Committee, facilitating smooth operations and communication within the committee.

What we are looking for

• At least 4 years of relevant working experience in auditing, with a focus on data analytics or data-driven audit techniques.
• Proficiency in scripting languages such as Python, R, or similar, with experience using computer-assisted audit tools for data analysis.
• Good application of audit methodologies, standards, and regulatory requirements, including data privacy and security regulations.
• Good understanding of data structures, coding principles, and database querying languages (e.g., SQL).
• Experience or familiarity with data science, AI, and machine learning concepts and applications in audit would be advantageous.
• Ability to work independently, as well as collaborate effectively as part of a team, with strong interpersonal and communication skills.
• Analytical mindset, attention to detail, and problem-solving skills, with the ability to interpret complex data and draw meaningful insights.
• Professional certifications such as Certified Internal Auditor (CIA), Certified Information Systems Auditor (CISA), or Certified Data Analytics (CDA) would be preferred.

The successful candidate will hold the corporate title of Manager/Senior Manager, with seniority based on individual work experiences.

What you can expect

• A challenging and rewarding career
• A variety of formal and informal training to enhance your skills in the evolving technology landscape
• Promotion opportunities based on your capability and on-the-job performance
• A friendly work environment with like-minded colleagues to co-create and collaborate together
• A hybrid work model allowing remote work for up to 50% of the time, contingent upon the exigencies of service
• A productive yet growth-oriented workplace with a flexible dress code empowering you to decide your appropriate outfit for the day
• A comprehensive rewards package
• Annual leave and pro-family leave
• Medical and dental benefits
• Access to recreational activities
• Position is on 2-year full time contract directly under the payroll of CPF Board with potential for emplacement into permanent position.