Responsibilities: Gain a comprehensive understanding of various product types and collaborate with traders, strategists, and other operations professionals. Resolve data exceptions proactively, investigating and fixing complex issues that involve multiple teams and vendors.  Collaborate with business partners to analyze and implement solutions for new business reference data needs. Work with a global team of product experts to address comprehensive reference data problems that involve multiple stakeholders and divisions. Cultivate strong relationships with critical vendors to improve data controls and ensure the highest quality product. Identify and implement process improvements globally to enhance the entire data governance process. Collaborate with senior technologists and project managers on key initiatives that shape the reference data support model used in the financial industry. Requirements: 2-4 years of data-related regional project experience in an enterprise setting Strong understanding of at least 1 financial product, including equities, fixed income, FX, commodities, derivatives, etc. Excellent relationship-building skills and the ability to communicate complex issues to internal clients with varying levels of product knowledge. Proactive and self-motivated team player  Proficiency in Microsoft Excel. SQL/ Python knowledge is a plus. If this outstanding opportunity sounds like your next career move, please send your resume in Word format to Lu Zhang at [email protected] and put Data Business Analyst - Leading Investment Bank in the subject header. Data provided is for recruitment purposes only.                      _________________________________________________________ Headquartered in Hong Kong, Pinpoint Asia is the go-to Specialist Firm for Technology Recruitment We are a team of specialist tech recruiters (many of our recruiters come from an IT background) and we serve a wide range of clients, all the way from tech startups (especially FinTech) to some of the top Financial Institutions on Wall Street and several other large scale enterprises in other industries. Our significant market reputation and status as the leading search firm for many of our clients is a direct result of our strong industry relationships, intimate understanding of the marketplace and proven ability to deliver results.  Our vision is to help companies hire smarter and help job seekers get closer to their career aspirations. To see all our open jobs please reach out to us at https://pinpointasia.com/job-search/ (EA License #22S1136)  We are also seeking top-calibre candidates for the following exciting roles: 1) Trading Floor Support- Leading Buyside Firm 2) Python Developer/ Tester- Elite Hedge Fund 3) DR, BCP and Resilience Technology Director

Job Description

As a Manager, Technical Solutions (Architect), you will be responsible for developing and managing technical solutions in Data Centre Engineering projects from inception to completion, developing pre-sales solutions by coordinating closely with the Commercial team and/or wider DC&N teams, and working with various investment stakeholders to assess feasibility of Pre-deals. You will work with both internal and external stakeholders to ensure that the job responsibilities are completed with a viable technical and budget proposals within time limits. You will coordinate with the Project Management team and provide Project Management inputs and considerations across your job responsibilities. You may be expected to travel for work to support your projects and customers when required.

• To be familiar with the design and construction of Data Centres, and working with knowledge of all technical disciplines, typical customer requirements and standard Basis of Design
• As the Architecture Specialist of DC&N Technical Solutions team, to be responsible for constant review and update to the Basis of Design, and develop Architecture Drawings, 3D models as needed for various Projects requirements.
• Execute the technical qualification, planning and development of technical solution for prospective deals as the Technical Solutions Head of Department shall direct. Manage and generate technical solution, project cost and planning structure for prospective deal engagements and investment approval.
• Provide project scheduling and construction process assessment for all technical solutions, pre-projects, pre-deals and pre-sales solution, and perform necessary organization and handover documentations to the Project team for delivery, and provide necessary support and follow up where required
• Coordinate and obtain inputs from Technical Solutions, Project Management, Operations, Consultants, Contractors and vendors etc. to develop a viable Technical Solutions, Pre-Sales Solutions or Pre-Deal responses to various relevant stakeholders
• Work with Asset Owners, Sales and Commercial, Asset Management, and Investments Teams to determine the Project budget proposal with adjustments to the Overall Project Budget and Investments Returns, while ensuring coordination with the Project Construction Costs and Design
• Obtain proposals, select, and appoint consultants to develop design and cost estimate. Thereafter, manage selected consultant team for awarded scope of works
• Engagement with Statutory Authorities and Safety Matters
• Support project team to execute projects’ quotation and/or tendering process for the various packages such as project consultancy, contractors, nominated sub-contractors, vendors, suppliers, etc in accordance with the inputs provided during the various technical solutions, pre-sales and pre-deal phases of work
• Organize and conduct regular separate and/or combined meetings with Clients, Asset Owners, appointed consultant, contractors, vendors, etc to address all technical related matters during pre-project and during engineering project execution
• Technical Solutions management and track progress of solutions development and project cost against the approved schedule during pre-project investment approval and design phases
• Technical solutions report including solution development and its corresponding risks and mitigation, compliance to the Customer and/or industry standards, project cost estimation and its corresponding validation and risks, etc. for investment approval.
• Technical solutions and Pre-Sales support to project team during project execution.
• Work closely with Client, Asset Owner and Operation team on any technical issues arising from pre-project stage, project execution stage and support the project team for timely handover to Client, Asset Owner and Operation team respectively.
• Any other scopes as directed by the Technical Solutions Head of Department

Job Requirements

• Master’s or Bachelor’s degree in Architecture or equivalent
• Minimum 10 years of professional experience in Data Centre or equivalent design and construction work etc.
• Good knowledge of variable design standards, including BICSI, TIA, Uptime Institute Tier Standard, etc.
• Ability carry out technical solution discussions effectively with multi-function teams
• Good problem-solving, communication and interpersonal skills with high resilience and drive in achieving objectives and goals. High desire for innovation and learning.
• Excellent verbal and written communications skills in English.
• Relevant experience in a multi-cultural work environment fostering a climate of teamwork and collaboration.

Company Overview: 

Are you ready to kick-start your career in the dynamic world of chemical manufacturing? Join our client, a leading MNC, where every day is an opportunity to make a significant impact. They are looking for enthusiastic individuals who are willing to perform 12-hour shifts and take on the challenge of leading a group of Production Technicians to ensure the safe and smooth running of production.

 

Key Highlights 

• Competitive Compensation: Earn up to Basic $3300 along with fixed allowances of $1100, candidates with relevant experiences salary can be negotiate 
• Work Location: Located at Jurong Island with company transport provided at Jurong East
• MNC Environment: Be part of a multinational chemical manufacturing company, where innovation and growth are at the core of our operations.
• Entry-Level Opportunity: Perfect for graduates with a degree in Chemical Engineering, this role provides a solid foundation for your career.

 

Responsibilities:

• Leadership Role: Lead a group of Production Technicians in ensuring the safe and smooth running of production operations.
• Operational Optimization: Assist the Process Engineer in conducting activities and projects to optimize operations during shifts, achieving both operational and cost efficiency.
• Troubleshooting Expert: Take charge of troubleshooting plant/equipment/quality issues and recommend effective counter-measures.
• Equipment Integrity: Monitor and ensure the integrity and reliability of plant equipment.
• Operational Support: Assist the Process Engineer in supporting shift operations by providing suitable operating conditions for stable plant operation and product quality control.
• Training and Development: Play a crucial role in training and developing team members, fostering a culture of continuous learning.

• Possess a degree in Chemical Engineering or its equivalent.
• Experienced candidates in petroleum, chemical, or polymer industries are warmly welcome to apply.
• Possess knowledge of process control and troubleshooting, with hands-on experience in plant equipment and instrumentation.
• Only Singaporeans may apply

 

If you are ready to embark on a challenging yet rewarding journey in the world of chemical manufacturing, apply now and be part of a team that values your skills, dedication, and potential for growth. Interested candidates can forward their CVs in MS Word format to [email protected]

 

Reg No. R1983718

Triton AI Pte Ltd

License no. 21C0661

• Contribute to the development and implementation of CRM marketing automation, journeys, and processes to enhance business efficiency.
• Utilize CRM tools to analyze the customer database, extract insights, and collaborate with cross-functional teams to implement recommendations.
• Serve as the custodian of data for the brand, ensuring the maintenance, monitoring, and updating of the customer database in alignment with internal data quality policies.
• Assist in the allocation of leads and closely monitor follow-up tasks by the sales team.
• Generate and analyze results from CRM campaigns, extract insights, and propose data-driven ideas and recommendations.
• Identify and suggest suitable target audiences/segments for sales and after-sales marketing campaigns.
• Track, generate and analyse weekly sales funnel and campaigns reports.
• Customer profiling, data mining and customer need analysis

• Diploma/Degree holders in Marketing / CRM / Business Administration.
• 1-2 years of Marketing/CRM-related experience.
• Knowledge of CRM principles and customer journeys.
• Meticulous and well-organised with the ability to multitask under pressure

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1875181

Triton AI Pte Ltd

License no. 21C0661

• Permanent position, Salary up to $4,000 with Bonus
• At least 1 year of Marketing/CRM-related experience

Conduct indepth analysis on APAC credit portfolio and prepare monthly reports to senior management in the regional committee. Improve regional credit portfolio management methodologies including Stress Testing. Enhance and automate internal and regulatory reporting related processes and data management. Support all internal credit risk management planning and the other regulatory requirements (e.g. review other branches local policy and procedures, provide the data for their analysis) Ensuring integrity of reports generated to guarantee accuracy and compliance at all times Requirements : Degree or equivalent Minimum 5 years hands-on experience in Database management, preferably in Credit Risk area Strong Excel Skills and Programming Skills such as SQL, Access, SAS or VBA Good communication and interpersonal skills Fluent in written and spoken English Meticulous, with an eye for details Able to work under tight time lines Knowledge of MAS regulatory reporting rules and requirements will be beneficial.

Responsibilities for Data entry assistant

• Transfer data from paper formats into computer files or database systems using keyboards, data recorders or optical scanners
• support in adhoc admin duties
• Create spreadsheets with large numbers of figures without mistakes
• Verify data by comparing it to source documents
• Update existing data
• Retrieve data from the database or electronic files as requested
• Perform regular backups to ensure data preservation
• Sort and organize paperwork after entering data to ensure it is not lost
• Greet visitors and point them in the right direction, answer inquiries, and create a welcoming environment
• Organize and maintain files and databases in a confidential manner
• Manage communication including emails and phone calls
• Screen phone calls, redirect calls, and take messages
• Schedule appointments, meetings, and reservations as needed
• Receive invoices and review for accuracy
• Assist HR Manager on all related HR/Admin duties
• Team player to work in office environment

Qualifications for Data entry Assistant

• High school diploma or general education.
• 1-2 years of clerical, secretarial, or office experience
• Proficient computer skills, including Microsoft Office
• Strong verbal and written communication skills
• Any additional certifications
• High degree of attention to detail
• Data entry experience
• Working knowledge of general office equipment

Project Summary

• Work closely with business (research analysts, quantitative strategist, end-users, etc), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle, e.g. data onboarding and data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Skillset Requirements

• CAT-1 eligible or cleared candidate is required for this role.
• Possess a degree in Accounting, Finance, Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 5 years of relevant experience in data management, data analytics, and data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution, and perform code review.
• Experience in Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
• Excellent written and verbal communication skills.
• Strong interpersonal skills and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.

Responsibilities:

• Engage in both exploratory data analysis to identify trends and data patterns
• Perform data preparation and data cleaning part of data migration project. 
• Understand Source data and support Source to Target mapping rules
• Design and implement the ETL framework for the data warehouse
• Build and maintain DBT pipelines to transform source data into reporting data models for our visualization team
• Build the Data Ingestion framework and ingest data from source files to load into Staging layer using DBT
• Code orchestration pipelines leveraging Python to connect data ingestion, DBT, Power BI
• Perform data profiling and identify any data quality issues and report to source systems 
• Using best practices build the ETL components as per mapping rules to move data into ODS; SOR layer and Data marts 
• Ensure the ETL jobs are set up; configured and scheduled  
• Develop data pipeline observability test scripts in DBT to monitor anomaly and freshness, and detect data quality issues
• Perform Unit testing on ETL components built and provide unit test results. Support System Integration testing and User Acceptance testing and fix any issues 

 

• Proven experience as a Data Engineer, with a focus on ETL development, Azure Data Factory, and DBT Cloud.
• Strong proficiency in SQL and experience working with relational databases.
• In-depth knowledge of data modeling and data warehousing concepts.
• Experience with cloud-based data platforms, particularly Azure.
• Certification in Azure Data Factory or DBT.

What we will offer you: A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That's why we are committed to providing an environment with your development and wellbeing at its center. You can expect: Flexible benefits plan including virtual doctor consultation services Comprehensive leave benefits Gender Neutral Parental Leave Flexible working arrangements 25 days of annual paid leave, plus public holiday & Flexible Working Arrangement Your key responsibilities: Full life-cycle of development tasks, starting from specification and design to successful implementation Working in the global team following Agile development practices Data Warehouse development and ETL design Build and maintain SQL procedures and ETL processes with different tools and languages Optimize and tune data processing and ETL workflows to ensure high performance and reliability Identify and resolve data quality issues and ensure data accuracy and consistency Perform data analysis using Tableau or similar tools to visualize and present insights to stakeholders as needed Assist in requirements gathering and data analytics as needed Estimate work effort and assist the Project Manager with task planning and LOE (level of effort) estimates Contribute to the system architecture Your skills and experience: Min 4 years of Data Engineering with Hadoop and Hadoop ecosystem. Proven expedience in Python, PySpark and Object-Oriented Programming. Proven experience in SQL, PL/SQL and Oracle database. Min bachelor's degree in computer science, Data Science, or a related field. Working experience in data engineering, with expertise in Hadoop, SQL, Hive, Impala, Google Cloud, and Cloudera Data Science Workbench. Working Experience in GIT, Apache Maven, JIRA and TeamCity UNIX command/shell scripting experience Experience with Cloud solutions such as GCP. Working Experience with finance payment data sets in a corporate banking environment. Experience with data analytics and visualization tools such as Tableau Excellent problem-solving and analytical skills with the ability to translate business requirements into technical solutions. Role is required to be performed on-site at One Raffles Quay office. Relevant vaccination requirements may apply. How we'll support you: Flexible working to assist you balance your personal priorities Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs Training and development to help you excel in your career\

Role and responsibilities

· Collaboration with stakeholders and users, perform data analysis, trend observations and derive actionable insights to drive improvement initiatives.

· Responsible in ensuring proper extraction, validation, and storage of data from various systems.

· In charge of conceptualising and developing operational dashboards to meet the business needs and to provide quality oncology care.

· Work with the team to design and architect the workflow of the data and algorithms including data input, output and storage between various health IT systems.

· Manage IT projects and/or new system implementation.

· Oversee design, development, and maintenance of in-house application systems.

· Perform other assignments as delegated by Sections Head and Head of Department.

Skills and experience

· Degree in Mathematics, IT or Data Analytics or any related field.

· At least 4 years of relevant experience

· Good system and data analysis and reporting skills.

· Knowledge in data visualisation / analytical / statistical tools (e.g., Tableau, R, Python)

· Excellent organisational and interpersonal skills

· Practical knowledge of hospital operations, medical systems/applications, data analytics.

HOW TO APPLY:

We would like to invite interested applicants to email detailed resume in MS Word format to: [email protected]

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

Under the revised Employment Agencies Licence Condition 5(b), employment agencies (EAs) are required to collect the personal data (e.g. NRIC, FIN) of applicants referred to employers for permanent or contract job positions of at least 6 months with a fixed monthly salary of $3,300 and above. PDPA requirements on collection, use and disclosure of personal data are not applicable to EAs that are collecting such information, as it is a regulatory requirement.

https://www.mom.gov.sg/faq/submit-quarterly-referral-and-placement/are-employment-agencies-allowed-to-collect-personal-data

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Joane Carrido
Registration number: R1770751

EA Licence No: 12C6253

VP, Data Analytics, Group Wholesale Banking Posting Date: 4 Jan 2024 Location: Singapore (City Area), Singapore, Singapore, 048624 Company: United Overseas Bank Ltd About UOB United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values - Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers. About the Department The Wholesale Bank function operates a dynamic business model that provides financial services and solutions to help our clients achieve their strategic business objectives. Our mission is to become the premier-provider of banking services and solutions for Asia-based commercial banking companies (small medium enterprises), large corporations, financial institutions as well as multinational corporations. Our coverage teams work in full alignment with specialised teams across Transaction Banking, Investment Banking, Global Markets and Group Retail to deliver seamless solutions to our clients. Job Responsibilities Lead large scale analytic projects in corporate space to drive for business impact Analyze macro and micro data (structured/less structured) to answer business questions via strategic analysis, machine learning/NLP models. Coordinate with various internal and external business stakeholders to ensure smooth data-to-insights conversion and the necessary of the insights implementation Job Requirements At least 5-10 years' solid data analytics/science experience, deep technical expertise on ML/NLP/OR, with hands-on capability, Python/SAS/R, Hadoop/Spark Excellent problem solver, good understand of financial industry knowledge, consulting experience is a plus Strong sense of responsibility and teamwork Good communication and interpersonal skills to effectively interact with internal and external stakeholders of all levels * Candidates with less years of experience will be considered at lower job grade. Be a part of UOB Family UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application. Apply now and make a difference. Competencies 1. Strategise 2. Engage 3. Execute 4. Develop 5. Skills 6. Experience

Assistant VP, Data Engineer Posting Date: 5 Jan 2024 Location: Singapore (City Area), Singapore, 048624 Company: United Overseas Bank Ltd About UOB United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values - Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers. About the Department Group Technology and Operations (GTO) provides software and system development, information technology support services and banking operations. We have centralized and standardized the technology components into Singapore, creating a global footprint which can be utilized for supporting our regional subsidiaries and the branches around the world. We operate and support 19 countries with this architecture to provide a secure and flexible banking infrastructure. Our Operations divisions provide transactional customer services for our businesses while also focusing on cost efficiency through process improvements, automation and straight through processing. Job Responsibilities The Data Engineer, Microsoft BI Developer & Administrator , is a member of the Data Analytics Technology team. This role will be responsible for the end-to-end software development and support for all work related to projects, quarterly change requests, L3 production fixes. This includes software product implementation and administration, application design, development, implementation, testing and support. You will be expected to work on Finance & Risk Analytics domain. Key responsibilities for this role are: Lead Server Administration activities for SSAS (SQL Server Analysis Services) & SSRS (SQL Server Reporting Services) for On-Premise implementation Build PowerShell scripts required for processing data in SSAS & SSRS reports Analyse and trouble-shoot SSAS, SSRS, Excel Add In and In-Memory related production issues by collaborating with other technical, vendor and business teams; Drive performance tuning Resolve connectivity issues of MBI solution with underlying Teradata / Hadoop based Data Marts & Enterprise Data Warehouse Handle and maintain BAU deployed applications to ensure stability, reliability, security, performance and SLA monitoring in SIT, UAT and production environment Liaise with the end-user and technical solution team to implement solutions that align with the organization's business objectives. Create frameworks, technical features which helps in faster operationalisation of Reporting solutions Independently install, customise and integrate software packages and programs Manage the technical delivery within timeline and with quality Carry out POCs involving new data technologies Ensure end-user satisfaction and meeting service level agreement Create technical documents such as solution design, program specifications for target solutions Maintain and recommend software improvements to ensure a platform centric management of software applications Work on delivering Change Request and Project implementation for Microsoft PBI solutions Involve in UAT, user training, pre-implementation preparation and post-implementation support activities Maintain and support MBI environment Ability to train users effectively to use the reporting tool, to build, customize & schedule reports Job Requirements The right candidate should possess: Min. 6+ years of experience in implementing SSAS & SSRS development & SSAS administration for On-Premise version of Microsoft Power BI Good knowledge of Power BI Server Architecture, expertise in PowerShell scripting Expertise in designing modular scheduling jobs (e.g. using Control-M) for refreshing SSAS In-Memory Models Expertise in performance optimization for SSAS Tabular models using Direct Query and In-Memory Models Experience in optimizing SSAS design by assessing DAX queries hitting Teradata based Data Warehouse & Data Mart Expertise in Windows / NT and SQL Server Administration - monitoring SSAS & SQL Server statistics Expertise in SSAS design, derived measures, SSRS reports & Data Modeling Knowledge of different code standards for SSAS, SSRS & PowerShell scripting; skills in leveraging reusable code components Experience in creating dashboards, volume reports, operating summaries, and presentations and graphs Hands on experience other BI Tools (Qlik) and Big Data tool stacks Knowledge in Data modelling, working with calculations, leveraging the Set Analysis Ensure incorporation of best practices and lessons learnt from prior projects Have Finance & Risk management domain knowledge Worked in large scale data warehouse & on premise Power BI, Qlik based visualisation Be a part of UOB Family UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application. Apply now and make a difference.

Job Description We are partnered with a client in the real estate investments space, hiring for an analyst with past experience supporting the portfolio management strategies at a global level. The role: Get involved in analysis of investments such as acquisition of real estate assets, including conducting of research on the market and competitors Source and evaluate investment opportunities, supporting on the end-to-end process of acquisitions including deal origination, evaluation and structuring Financial modelling and preparation of reports for management Develop and maintain data visualisation dashboards and databases Work with other teams in identifying gaps in data, analysing data trends and providing recommendations for business decision-making Requirements: Minimum of 4 years' relevant work experience in the financial modelling and investments analysis space Experience in the real estate industry or real estate markets strongly preferred Bachelor's degree in Data Analytics, Business Analytics or Real Estate, or similar relevant field Proficiency in data technologies (Python, SQL, R and visualisation tools) Please apply directly with your CV or reach out to [email protected] for a confidential discussion.

The Senior Data Architect role is part of Enterprise Architecture team in OCBC Group Operations and Technology division, focusing on the transformation the existing data architecture and build of the next generation data platform across OCBC Group to support the bank's Digital Transformation. You will bring a vision to modernize OCBC data architecture and develop a multi-year roadmap to bring that vision to life, collaborating with business and technology leads, application architects, data science and data engineering teams across the bank to enable large scale machine learning and analytics use cases. You will act as a thought leader for the organization, defining data platform processes and best practices - engaging senior stakeholders across the group to ensure their continued buy-in on strategic data initiatives. Responsibilities Define roadmap to transform data architecture focusing on scalability, performance and flexibility throughout the entire data life cycle (ingestion, storage and consumption). Maintain data architecture framework, standards and principles including modeling, metadata, security, master and reference data Define reference architecture as a set of patterns that can leveraged by diverse parts of the direction to create and improve data systems. Lead architectural designs solution context diagram and conceptual data model to optimize security, information leverage and reuse, integration, performance, and availability and ensure solutions developed adhere and aligns to the delivered architecture. Consult and influence digital application teams regarding solutions. Collaborate with other staff to design and implement effective technology solutions, while using innovative business and technology processes to identify and implement improvement initiatives, eliminate redundancies, and maximize the reuse of data. Work closely with Solutioning, Infrastructure and project teams to understand their needs and ensure the best data architecture is implemented. Provide training and share best practices across teams regarding data architecture design and solution implementation including review and quality assurance. Develop and apply industry best practice technology, design and methodology approaches to design bank's data architecture. Research and recommend new emerging technologies, techniques and tools that will add value to the organization Qualifications Bachelor's Degree in Computer Science or related discipline. 10+ years of experience designing and building high performance resilient data architectures Strong experience with traditional data technologies (ODS, Data Lake, Data Warehouse). Experience in designing data patterns to support micro-service based application architecture Track record of successfully building container-based big data architectures on top of Kubernetes. Experience in designing systems to efficiently handle real-time and batch use-cases.

The Role Reporting to Head of Data Management Office, you will interact with Data Management Office members and Tokyo Head Office Data Management Department members for driving the development, implementation, standardization and continuous enhancement of the Data Governance operational activities across SMBC APAC, including Data Analytics and Data Utilization. You will work with stakeholders across the bank to drive strategic and effective data utilization and ensure that data is managed in a secure, compliant and ethical manner. Job Responsibilities Set up and build a team in the Data Governance Office to oversee and drive Data Analytics and Data Utilization in the APAC region. Data Utilization Planning and Promotion: Integrate data into business strategies and drive data utilization. Data Culture Promotion: Convey the importance of data within the bank and foster a data governance culture. Training and Education: Develop and conduct training programs on Data Governance and data management. Data Quality Monitoring: Identify and report data quality issues, resolve issues at operational level and promote improvements. Master Data & Metadata Management: Organize and manage master data and metadata to ensure data consistency. Operational Data Management: Work with IT and business units to ensure smooth data flows and proper integration. Job Requirements Bachelor's degree in Information Technology, Computer Science, Engineering or a related field 7-10 years of experience Data Governance in the banking sector or bank related project experience Good understanding of data-related technologies e.g., Database, ETL, Data Warehousing and metadata etc. Good understanding and experience of data utilization and related tools e.g., BI/MIS Tools, Python, AI Proficiency in both English and Japanese is highly preferred as this role needs to prepare reports in Japanese for reporting to Head Office in Japan. This role also needs to present and communicate with stakeholders and counterparts in Tokyo Head Office who mainly communicate in Japanese. Good communication, presentation and interpersonal skill Good project management and facilitation skills Basic understanding and knowledge of Data Governance and Data Management framework and philosophies as defined in the DMBOK (Data Management Body of Knowledge). Ability to work across different functions Ability to work independently as part of a team Work location: One@ChangiCity

Responsibilities: (A) Governance Framework, Roles & Operationalisation Actively drive the Enterprise-wide Data Governance strategy, the data governance framework and policy, incorporating best practices and industry standards. The framework should ensure that the data assets across the organisation are clearly defined, owned, stewarded, distributed and consumed in accordance with its data governance policy, principles and standards. Facilitate working groups and governance forums (Data Governance Panel & Senior Management Committee (Data)) to ensure well running and effectiveness. Establish and govern an enterprise data governance implementation roadmap including enterprise level Data catalogues, data access frameworks and data quality tools for different critical data assets. Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the company's principal information assets. Serve as a liaison between Business and Functional areas and technology to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated and well understood and considered as part of operational prioritisation and planning. Facilitate the development and implementation of data quality standards, data protection standards and adoption requirements across the enterprise. Design data quality checks and metrics for key systems and critical data elements to assess data health and detect deficiencies and improvement with our data sources or internal data processes. Work hand in hand with compliance, contracts, and legal teams to ensure a thorough understanding of the regulatory and/or contractual obligations related to the usage of data . Support education and communication strategy & initiatives to raise the awareness of data quality obligations across the Firm as well as the overall data literacy and data control obligations to enable intelligent workforce. Stay abreast of new and evolving business requirements and market trends in order to align our data capabilities and content with business needs developing and continuously improving and expanding coverage of capabilities by monitoring progress through KPI's (B) Governance Artefacts and Data Inventory Enforce data standards with businesses for each data category and help build reusable Business Glossary for each category. Develop & maintain inventory of the enterprise information maps (data assets and lineage), including authoritative systems, platform & data owners and data consumers. Support the definition, UAM (user access management) principles and guidance to ensure proper segregation of duties and authorized data access and sharing across Temasek and with third party vendors and consultants. Partner with engineering on data model and testing workflows to keep metadata repository, business glossary and Quality inventory and current. Provide recommendation on corrective actions and develop remediation strategies to improve adoption of data quality standards and best practices. Requirements: Degree in Information Technology, Business Computing, Data Analytics or related disciplines with at least 10 years of working experience in the banking industry, or consulting industry with strong exposure to Financial Services. At least 10 years of working experience where at least 5 years of hands-on experience in data governance and data quality related projects in finance, investment and banking industry. Extensive knowledge and understanding of Data Governance discipline, especially on financial industry best practices and across the regulatory landscape. Expertise on any of the Data Governance related tools and landscape, working experience with data quality tools (e.g. Information Data Quality) and BI tool (e.g. Tableau) would be a plus. Sound knowledge to manipulate and analyze complex, high-volume and high-dimensionality data from various sources. Good understanding of data design and architecture principles. Strong analytical, problem solving and critical thinking skills. A strong work ethic as a team player who is detailed and deadline oriented. Ability to thrive in a fast paced, highly challenging environment. Excellent interpersonal and communication skills, with ability to manage different levels of stakeholders across the organization and navigate through conflicts and differences competently and with ease.

Job Summary Singapore Contract JN -112023-1951974 Dec 01, 2023 Competitive Job Description Our client is continuously innovating - creating new technologies, products and services that inspire and excite people everywhere. The main responsibilities for this role include: Providing ongoing application support Participating in different stages of the software development life cycle (SDLC) Conducting user requirement analysis Evaluating potential solutions for business problems Participating in system integration testing Planning and coordinating end-user training Building good relationships with business users Working closely with vendors Supporting the team in defining project requirements and tracking progress Providing 24/7 primary application maintenance standby support Guiding and coaching junior team members Experience in: Databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Greenplum) Data repository design (e.g. operational data stores, dimensional data stores, data marts) Data interrogation techniques (e.g. SQL, NoSQL) Structured and unstructured data analytics. Statistical computing programming language (e.g. R). Data quality tools and processes. Data transformation and terminology equivalence mapping. Requirements / Qualifications: Singaporeans Only Degree / Master in Computer Science, Information Technology, Computer Engineering or equivalent 5 Years experience in providing data warehouses or advanced analytics solutions If you are passionate about technology and driven to make a difference, we encourage you to apply today. To discuss this opportunity further, please apply now or get in touch with Maralene Joshua at We regret to inform that only shortlisted candidates will be contacted. Maralene Joshua Implementation Specialist Morgan McKinley Singapore, Talent Solutions EA License No: 11C5502 Personnel Registration No: R2093737

Job Title: Consultant/Senior Consultant - Data Governance & Global Markets

Position Overview: Join our dynamic team as a Consultant/Senior Consultant in Data Governance & Global Markets, where you'll spearhead transformative initiatives within leading financial institutions. This role offers a unique opportunity to drive innovation across technology, data, and information management, shaping the landscape of client projects and organizational strategies.

Key Responsibilities:

• Collaborate with managers and key stakeholders to ensure the successful execution of client initiatives, with a focus on conceptualizing, designing, and implementing data-driven financial and risk analytics solutions.
• Leverage your expertise to innovate, build, and maintain robust data solutions that address business challenges, including reviewing data requirements and ensuring master data integrity.
• Identify areas for data quality enhancement and implement strategies to resolve data quality issues, working closely with program/project managers and subject matter experts (SMEs).
• Define and implement data strategy, policies, and controls to ensure the accuracy, completeness, security, and reliability of enterprise data, particularly in areas such as client valuation, pricing, and product development.
• Design and implement enterprise data governance and security strategies, including encryption, masking, and authorization methods, to safeguard sensitive information.
• Provide valuable data insights to business and functional teams, recommending enhancements to data consolidation and streamlining data collection and reporting processes through automation.

 

We are actively looking for Data Engineer for a permanent position in Singapore. This exciting opportunity is with a well-established global IT service provider known for its excellence in the industry.

Key responsibilities:

• · Designing, building and maintaining data architectures, including databases and processing systems;

• · Acquiring and integrating new data sources;

• · Optimising data pipelines, automating processes where possible and planning for scalability;

• · Developing methods for identifying issues in data quality, reliability and efficiency;

• · Applying appropriate security controls to all relevant collections, databases and systems;

• · Maintaining documentation relating to the design and maintenance of data systems; and

• · Creating and maintaining the infrastructure and analytic tools to allow for efficient data extraction and transformation.

Key skills and qualifications:

• · Degree qualified in data science, computer science, statistics, information systems, or related disciplines;

• · Extensive experience with SQL, Python and R;

• · Experience or familiarity with Airflow, Spark, Hadoop, and PostgreSQL;

• · Experience with data modelling and ETL tools;

• · An understanding or interest in data science or analytics would be advantageous

About Us

We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at [email protected].

Also follow our LinkedIn page for new job opportunities and more.

Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

We are hiring an Assistant director for our data protection team who will be driving the development and implementation of data protection policies and processes, to ensure Synapxe's compliance with the Healthcare Instruction Manual(HIM) and regulatory requirements such as the PDPA

Roles and Responsibilities

· Ensure organisation's compliance to the PDPA and data protection policies which includes the development and maintenance of the Data Security Maintenance Plan (DSMP)

· Provide updates on data protection compliance to senior management

· Monitor the handling of personal data across the organisation

· Oversee the maintenance of records required to demonstrate data protection compliance

· Develop and conduct Data Protection Impact Assessments (DPIA) to identify, assess and address the risks

· Propose measures to manage risks associated with the collection, use, disclosure and storage of personal data

· Manage and report any breaches according to the organisation's data breach management process including incident response, notifications of affected individuals, investigations and closure

· Drive awareness of PDPA and Data Protection requirements in the organisation including the development training programmes to foster a strong data protection culture

· Provide advisory services on data protection issues, including specific data-related products and projects and contractual obligations (alongside the Legal team)

· Act as the organisation's key point of contact with the PDPA regulatory authorities and to data subjects when exercising their individual data rights

Requirements

· University degree in Business, Computer Science, Engineering or equivalent

· At least 10 years of data protecion experience

· Proficient in MS Office applications

· Good interpersonal and communication and written skills

· Knowledge in enterprise risk, IT security operation, IT incident management, project management, legal, compliance, and IT audit is an advantage

· Fundamentals of PDPA/CIPP/CIPM/CIPT or other relevant certification

• Assist in the gathering and analysis of data and information required for each audit assignment planning.
• Assist in gathering evidence for the audit fieldwork to evaluate the effectiveness and efficiency of business processes and related risk management, internal controls and governance process, and ensure compliance with regulatory requirements and Company’s policies and procedures.
• Assist in the design and application of data analytics techniques (using Excel, ACL, Tableau) in audit assignments.
• Document accurate audit work performed and audit result in a clear and organised manner, supported by audit evidence for review by Team leader.
• Assist in developing and drafting comprehensive audit observations (including root causes and risks) on weaknesses in control environment, and making recommendations for process improvements.
• Assist Team Leader in finalizing the audit findings, recommendations and reports, and collate management responses and action plans to mitigate risk.
• Assist in tracking audit issues identified by Internal Audit and external auditors, and monitor implementation progress of management action plans. Assist in conducting validation review on management remediation actions to address control deficiencies.
• Assist in developing Annual Internal Audit Plan and in the preparation of deliverables such as audit reports and presentation materials to Management and Audit Committee.

• NITEC or Diploma in Accounting are welcome to apply
• Proficiency in Microsoft Office applications (i.e. Word, Excel and Powerpoint).
• Proactive and adaptable with good organisational and interpersonal skills
• Strong analytical skills with high attention to details.
• Self-motivated team player with continuous learning attitude.
• Good verbal and written business communication with strong report writing and presentation skills
• Singaporean only

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1875181

Triton AI Pte Ltd

License no. 21C0661

• Up to $2500
• 6 months contract
• Central, Property Industry
• NITEC or Diploma Holder of Accounting are welcome to apply

Detail:

• Location: Jurong Island, Singapore (Transport provided at designated point)
• Employment Type: Permanent  
• Compensation: Competitive Salary with AWS and 3 Months Variable Bonus  

Responsibilities:

• Oversee maintenance and instrumentation activities in manufacturing plants to ensure safe and smooth operations.
• Coordinate and execute major field maintenance projects, prioritizing worker safety and facility integrity.
• Liaise with internal and external stakeholders to coordinate maintenance activities, ensuring timely completion and minimal disruption to plant operations.
• Conduct instrumentation application studies and modify plant facilities to align with technical specifications and business requirements.
• Conduct training sessions for staff and contractors to enhance their skills and competencies.
• Implement management systems based on ISO 9001, ISO 14001, and SS506 standards.

Requirements:

• Bachelor's degree in Electrical Engineering with a focus on Power/Energy Modules.
• Basic knowledge of programmable logic controllers (PLC) and human-machine interfaces (HMI) is advantageous
• Strong analytical and problem-solving skills.
• Ability to communicate effectively with staff across different functions and contractors. A spirit of collaboration and teamwork is essential.

 

How to Apply:

Interested candidates are invited to forward their CVs in MS Word format to [email protected]

 

Reg No: R1549345
Triton AI Pte Ltd  
License No: 21C0661

Data Architecture and Design:

• Collaborate with cross-functional teams to understand data requirements and design efficient and scalable data architectures.
• Develop and maintain data models, schema designs, and data flow diagrams.

ETL Development:

• Design, develop, and optimize Extract, Transform, Load (ETL) processes using Python and PySpark.
• Implement robust data pipelines for efficient data extraction, transformation, and loading from various sources to data warehouses.

Data Processing and Transformation:

• Leverage PySpark for large-scale data processing, ensuring high performance and reliability.
• Implement data transformations, aggregations, and cleansing procedures to maintain data quality.

Data Integration:

• Integrate data from various sources, including structured and unstructured data, ensuring consistency and accuracy.
• Work closely with data scientists and analysts to understand their data needs and provide support for data integration into analytical models.

Performance Optimization:

• Monitor and optimize data processing and ETL jobs for performance, scalability, and efficiency.
• Troubleshoot and resolve issues related to data pipeline performance.

Data Quality and Governance:

• Implement data quality checks and validation processes to ensure the accuracy and reliability of the data.
• Enforce data governance policies and best practices.

Collaboration and Documentation:

• Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand and address their data requirements.
• Document data engineering processes, ETL workflows, and data architectures.

Technology Research and Adoption:

• Stay abreast of the latest trends and advancements in data engineering and recommend the adoption of new technologies and tools to enhance efficiency.

• Minimum of 7 years of hands-on experience in data engineering, with a focus on Python and PySpark.
• Proven experience in designing and implementing scalable and efficient ETL processes.
• Strong knowledge of data modeling, data warehousing concepts, and database systems.
• Experience with big data technologies and distributed computing, with a focus on PySpark.
• Proficiency in working with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong problem-solving and troubleshooting skills.

• Contribute to the development and implementation of CRM marketing automation, journeys, and processes to enhance business efficiency.
• Utilize CRM tools to analyze the customer database, extract insights, and collaborate with cross-functional teams to implement recommendations.
• Serve as the custodian of data for the brand, ensuring the maintenance, monitoring, and updating of the customer database in alignment with internal data quality policies.
• Assist in the allocation of leads and closely monitor follow-up tasks by the sales team.
• Generate and analyze results from CRM campaigns, extract insights, and propose data-driven ideas and recommendations.
• Identify and suggest suitable target audiences/segments for sales and after-sales marketing campaigns.
• Track, generate and analyse weekly sales funnel and campaigns reports.
• Customer profiling, data mining and customer need analysis

• Diploma/Degree holders in Marketing / CRM / Business Administration.
• 1-2 years of Marketing/CRM-related experience.
• Knowledge of CRM principles and customer journeys.
• Meticulous and well-organised with the ability to multitask under pressure

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1875181

Triton AI Pte Ltd

License no. 21C0661

• Permanent position, Salary up to $4,000 with Bonus
• At least 1 year of Marketing/CRM-related experience

Responsibilities:

• Lead a group of Production Technicians in the safe and smooth running of the production.
• Assist the Process Engineer to conduct activities and projects to optimize operation during Shift to achieve operational and cost efficiency.
• Troubleshoot plant/equipment/quality issues and recommend countermeasures.
• Monitor and ensure plant equipment integrity and reliability.
• Assist the Process Engineer to support Shift operation by providing suitable operating conditions for stable plant operation and product quality control.
• Train and develop team members

Requirements:

• Degree in Chemical Engineering or its equivalent, preferably with 1 to 2 years of experience in petroleum, chemical or polymer industries.
• Have knowledge of process control and troubleshooting, hands on knowledge of plant equipment and instrumentation.
• Essential prerequisites include good analytical and technical report writing skills, ability to be a team player with leadership, initiative, drive & commitment, able to take pressure and able to communicate well with others.
• This is a shift work position (i.e. Rotating AM and PM shifts, including weekends and Public Holiday) and there will be scheduled off days

Interested candidates can forward their CVs in MS Word format to alex#triton-ai.com

Reg No. R1549345

Triton AI Pte Ltd

License no. 21C0661