• As part of Line Management, you will work with different stakeholders within and across divisions to streamline work processes and policies across trade teams. Perform analysis on business flows, identify areas of improvement and opportunities to optimize yield by leveraging on data analytics.
• You will play a crucial role in enhancing our operational efficiency, identifying trends, and providing actionable insights for trade teams. You will be responsible for analyzing vast datasets relating to cargo flow operations and segmentation, vessel and customer profiling, as well as container inventory movement to drive informed decision-making.

Responsibilities:

• Collect, clean, and analyze large datasets from various sources including booking systems, cargo flow modules, management reporting and customer databases
• Develop and maintain data models, dashboards, and reports to visualize key performance indicators (KPIs) for various trade teams to make informed decisions
• Assist with the implementation of eCommerce projects and optimization of corporate systems, data and tools to enhance department productivity
• Identify patterns, trends, and anomalies in shipping data to optimize cargo selections, routing management, and inventory management
• Collaborate with cross-functional teams including ISD, finance, logistics and operations to implement data-driven solutions and process improvements
• Steer improvement mindset and adoption of new technologies & processes
• Present findings and actionable recommendations to stakeholders through clear and concise reports and presentations

Job Requirements

• Bachelor's degree in Maritime, Data Science, Statistics or equivalent.
• Min 2 years of Experience as Business Analyst

Salary range: $4K to $4.9K

Freight Forwarding industry

central location

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

This is a 12 months contract assigned to our client

Work Location: To be confirmed (during interview)

Salary Range: $9,000-$12,000

Responsibilities: As a BI Engineer, you will be responsible for developing and maintaining the Microstrategy setup within the overall Data Platform. The engineer must be able to discuss requirements with the clients and support in setup and issue rectifications.

Top 3 skills (must have)

1. MicroStrategy Business Intelligence

2. ETL Pipelines

3. Data Modeling Techniques and Methodologies , strong MSTR knowledge

Location: Kallang Sector

Mon - Fri 830am-6pm

Contract until: June 2026

Training Provided

· Perform daily operational duties for Manual and Remote reading related activities via the various meter reading and billing systems and following up with relevant parties to resolve daily operational issues

· Perform User acceptance testing for meter reading and billing system changes and upgrade activities

· Attend to enquiries via Case Activities, telephone and emails

· Any other ad-hoc duties as assigned by supervisor

Interested applicants may email resume to [email protected]

Cheryl Lee Shi Le (CEI Registration No: R1434624)

Recruit Express Pte Ltd (EA: 99C4599)

Join Our Team – Where Innovation Meets Opportunity!

Are you ready to work in a dynamic, high-energy environment where your ideas matter? At our company, we’re not just a team—we’re a movement. We’re looking for passionate, driven individuals to help us lead the charge in an industry-changing journey.

What You’ll Do:

• Engage with Leads: Follow up on new opportunities and connect with key decision-makers.
• Collaborate for Success: Work with top performers to develop and execute strategies that drive growth.
• Learn and Evolve: Participate in ongoing training to refine your skills and grow your career.
• Overcome Objections: Tackle challenges with confidence and creatively communicate our brand’s value.

What We’re Looking For:

• Problem-Solver: You’re a critical thinker who loves finding creative solutions.
• Great Listener: You understand clients’ needs and adapt your approach.
• High-Energy & Enthusiastic: Your positive attitude drives success and inspires others.
• Team Player with Initiative: You thrive in a collaborative setting but can work independently when needed.
• Integrity: You hold yourself to the highest ethical standards.

Why Us?

• Growth Opportunities: With international expansion, there’s a clear path for career advancement.
• Innovative Culture: Join a team that values creative thinking and rewards impact.
• Ongoing Learning: We provide the resources you need to keep evolving.

Ready to make a real impact? Let’s build something incredible, together.

Mon to Fri office hours

Bugis

Salary : Up to $5K

Responsibilities:

• Collect, clean, and analyze large datasets from various sources including booking systems, cargo flow modules, management reporting and customer databases

• Develop and maintain data models, dashboards, and reports to visualize key performance indicators (KPIs) for various trade teams to make informed decisions

• Assist with the implementation of eCommerce projects and optimization of corporate systems, data and tools to enhance department productivity

• Identify patterns, trends, and anomalies in shipping data to optimize cargo selections, routing management, and inventory management

• Collaborate with cross-functional teams including ISD, finance, logistics and operations to implement data-driven solutions and process improvements

• Steer improvement mindset and adoption of new technologies & processes

• Present findings and actionable recommendations to stakeholders through clear and concise reports and presentations

Job Requirements

• Min. Degree in Maritime, Data Science, Statistics or equivalent.

Min. 1 year of experience in data analytics

• Possess excellent data management, spreadsheet, and presentation skills.

• Knowledge in Tableau, Power BI preferred but not compulsory.

If interested, please email your resume to [email protected] or telegram @alexgohhl

➖

Alex Goh Hock Leong

(CEI.No: R1763413 l Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599)

[email protected]

Location: Near Bugis MRT

Details of the responsibilities are as shown below:

• Assist in collaborating with end users to define their data needs and requirements for dashboard products.
• Coordinate with the external vendors to ensure the timely delivery of dashboard data products
• Monitor the usage & adoption rate and collect user feedback of all products
• Provide ongoing support and improvements to the dashboard data products based on user feedback and changing requirements.

Interested applicants may email resume to [email protected]

Cheryl Lee Shi Le (CEI Registration No: R1434624)

Recruit Express Pte Ltd (EA: 99C4599)

Overview / Brief

Louis Dreyfus Company is a world leader in the processing of agricultural products and the merchandising of a diverse range of commodities. Founded and based in Europe, Louis Dreyfus Company enjoys a strong regional presence in North and South America, Europe, Asia, the Middle East, and Africa.
Louis Dreyfus Company operates with the drive of a young organization, tempered and fueled by over more than 165 years of experience and expansion in the field of agricultural commodities. Today, with offices in more than 55 countries and approximately 18,000 employees, the Group stands strong, pragmatic, and diversified, guided by a multi-cultural management staff devoted to its aims and to its unique business model.

Central to our global commodity processing and trading activities, the Freight Platform has grown to become a major global chartering entity, heavily leveraging data analytics.

Diversity & Inclusion

LDC is driven by a set of shared values and high ethical standards

Diversity is part of our DNA. LDC strives to create a diverse and inclusive work environment where people can thrive regardless of gender, sexuality, ethnicity or background.

Sustainability

Sustainable value is at the heart of our purpose as a company

We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us.

Main Responsibilities:

As a Data Scientist at LDC, you will be an integral part of our dynamic team, contributing to the development and enhancement of our vessel tracking ecosystem. This ecosystem integrates diverse data sources, proprietary tracking and forecasting models, and interactive dashboards that empower our commercial team to make informed trading choices on a daily basis.

1. Vessel Tracking Ecosystem Development:

• Lead the design, development, and maintenance of the vessel tracking product.
• Collaborate with DT&A teams and other platforms to ensure coordinated development and integration of data sources and features.
• Take ownership of critical components, driving continuous improvement.

2. Forecasting Models and Trading Insights:

• Develop advanced forecasting models using machine learning techniques.
• Leverage proprietary data sets to enhance accuracy and reliability.
• Work closely with traders and research analysts, translating data into actionable insights.

3. Data Management and Analytics:

• Provide high-quality data and analytics support to the Freight platform.
• Ensure data availability, reliability, and adherence to best practices.
• Design intuitive visualizations and user interfaces for informed decision-making.

4. Collaboration and Leadership:

• Liaise with data scientists, fundamental analysts, and other stakeholders.
• Lead development efforts, fostering innovation within a collaborative environment.
• Champion creative solutions to enhance our technological setup.

5. Machine Learning Integration:

• Structure proprietary information into in-house data sets.
• Apply machine learning models to extract valuable insights.
• Optimize trading strategies based on data-driven recommendations.

Experiences:

• At least 4-6 years of relevant working experience
• Strong analytical skills with experience in time series analysis.
• Exposure to financial markets or trading environments is advantageous.
• Excellent communication skills and the ability to collaborate effectively.

Other skills (Computer Skills, etc):

• Proficiency in Python, machine learning libraries (e.g., TensorFlow, scikit-learn), and data visualization tools (e.g., Matplotlib, Plotly).

Academics:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

Job Description:

• In charge of general office administration work.
• Assist in purchasing construction materials include sourcing and getting quotations.
• Coordinate with office and site staff for requests.
• Issue and follow-up purchase orders and delivery orders.
• Other ad hoc duties assigned by supervisor.

Job requirements:

• Minimum O level or equivalent.
• Minimum 1 year of relevant working experience.
• Comfortable with site office environment.
• Proficient in Microsoft Office applications.
• Good communication and interpersonal skills
• Able to work independently

Working Location:

• Head office and site office

Job Description :

- Provides administrative support to ensure efficient and smooth operation of Office

- Carries out administrative duties such as data entry work, filing, sales co-ordination work, answering phone calls etc.

Job Requirements :

- Candidate must possess at least "O" Level certification

- knowledge of MS Office and Google Suite

- Knowledge of ERP, MYOB software and basic accounting principles an additional advantage

- Exhibits polite and professional communication via phone, email and mail

Work Location :

Ubi

About Spare Parts 3D

Spare Parts 3D, headquartered in France with offices in Singapore, leverages 3D printing to simplify and decarbonize supply chains. Using our proprietary DigiPART™ software, we digitize spare parts inventories for industry leaders in sectors like O&G, petrochemical, transportation, and semiconductor, enabling parts production anywhere with minimal lead times. Our technology reduces costs associated with technology transfer and warehousing, creating a shorter, more efficient supply chain.

If you’re ready for a challenge in a high-tech, fast-evolving sector, apply now!

Responsibilities

As part of a customer-focused project structure under the leadership of our Head of Engineering, you will support DIGIPART development across all data-related aspects, from preparing large data sets to integrating and analyzing data in DIGIPART. Your key responsibilities will include:

• Prepare and enhance large data sets by collating information from ERP, PLM, and various sources.
• Conduct data labeling, cleaning, and validation to ensure quality.
• Structure and integrate both structured and unstructured data into DigiPART databases.
• Perform data audits, identify errors, and produce diagnostic reports.
• Meet project deadlines by completing tasks on time.
• Identify and resolve root causes of data quality issues, providing feedback for product improvement.
• Develop new processes to identify and leverage data improvement opportunities.
• Collaborate with cross-functional teams to support DIGIPART enhancements.

Education and Experience

• Bachelor's degree in Accounting, Business Administration, Engineering, or a related field.
• At least 2 years of experience in data science, analytics, or a similar role (preferred).
• Willingness to undergo training in 3D printing applications and DigiPART software.

Knowledge and Skills

• Experience with data analysis tools like Python, or Power BI is required.
• Professional fluency in English; proficiency in French is a plus.
• Strong ethical standards, integrity, and adherence to compliance.
• Skilled in handling large amounts of data and identifying actionable insights.
• Adaptable and resilient, capable of navigating a dynamic, fast-paced environment.

Application Note

Only shortlisted candidates will be notified.

• Good Base+great benefits!
• Experienced in leading a team, familiar with building CI/CD data pipelines, Git/Docker, Sparks/Hadoop etc
• Great environment to work in!
• Opportunity to work w/ different projects!
• Leading IT Company+friendly & diverse culture!

Our client is one of the leading Technology organisation

Responsibilities:

• Translate data requirements from business users into technical specifications.
• Collaborate with stakeholder’s IT teams on technology stack, infrastructure and security alignment.
• Build out data product as part of a data team
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
• Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;
• Construct, test, and update useful and reusable data models based on data needs of end users.
• Design and build secure mechanisms for end users and systems to access data in data warehouse.
• Research, propose and develop new technologies and processes to improve agency data infrastructure.
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.
• Maintain data catalogue to document data assets, metadata and lineage.
• Implement data quality checks and validation processes to ensure data accuracy and consistency.
• Implement and enforce data security best practices, including access control, encryption and data masking, to safeguard sensitive data.

Requirements:

• Bachelor in Computer Science, Information Technology, Software Engineering disciplines are preferred
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.
• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.
• Experience in architecting data and IT systems.
• Experience with orchestration frameworks such as Airflow, Azure Data Factory.
• Experience with distributed data technologies such as Spark, Hadoop.
• Proficiency in programming languages such as Python, Java, or Scala.
• Proficiency in writing SQL for databases
• Familiarity with building and using CI/CD pipelines.
• Familiarity with DevOps tools such as Docker, Git, Terraform

Other Information:

• Working Hours: Mon-Fri, 9am-6pm, flexible work hours/hybrid work arrangement & WFH)
• Location: Near Buona Vista MRT

To apply please click on the LOGIN TO APPLY button with the following details inside your resume for faster processing:

• Reason for leaving
• Last drawn Salary
• Expected Salary
• Earliest availability date

We regret only shortlisted candidates will be notified. By submitting any application or résumé to us, you will be deemed to have agreed and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

Jiang Yiang Dong

EA License | 14C7092

EA Registration Number | R1105012

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We are an affiliated company by common shareholders with Activate Interactive Pte Ltd which company logo appears on the top of this page.

Actxa creates evidence-based, personalizes health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

Actxa is hiring for Senior Data Scientist

We are seeking a highly skilled and motivated Data Scientist to join our dynamic team in shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis.

The ideal candidate will directly contribute to improving the health and well-being of the population, reducing healthcare costs, and championing a proactive approach to healthcare.

What will you do?

1. Data Collection, Processing and Preprocessing:

• Collect, clean, preprocess, and wrangle raw digital health data to ensure its quality, integrity, and suitability for analysis and modeling.

2. Data Analysis and Modeling:

• Utilize advanced statistical techniques, artificial intelligence and machine learning algorithms to analyze complex datasets.
• Develop predictive models to identify patterns, trends, and insights for proactive health interventions.

3. Feature Engineering and Model Development:

• Identify and engineer relevant features from diverse healthcare data sources to enhance model accuracy and performance.
• Design, develop, and fine-tune machine learning models for predicting health risks and outcomes.

4. Productization and Code Transfer:

• Follow through toward productization by deploying models into scalable, production-ready solutions.
• Implement data pipelines and automation processes for efficient data processing and extraction.

5. Documentation and Reporting:

• Document research, experiments, modelling techniques, and methodologies followed in projects.
• Provide comprehensive reports and presentations on results, findings, and recommendations derived from data analysis and predictive models.

6. Collaboration and Communication

• Collaborate with cross-functional teams including clinicians, data engineers, and product managers to understand business requirements and align data science initiatives with company goals.
• Effectively communicate complex findings and insights to both technical and non-technical stakeholders.

7. Continuous Improvement and Innovation:

• Stay abreast of the latest advancements in data science, machine learning, and healthcare technologies.

What are we looking for?

• Bachelor or Master degree in Data Science, Biostatistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, Computer Science or related discipline.
• 3+ years of experience in data science, healthcare analytics, or preventive medicine
• Proficiency in programming languages: Python, R, SQL
• Experience with machine learning frameworks: TensorFlow, PyTorch, Scikit-learn
• Good understanding of biostatistics, epidemiology, and research design
• Familiarity with cloud-based platforms: AWS & Ali Cloud
• Experience with wearable device data, signal and noise processing will be preferred.
• Keen interest in Chronic disease prevention, Population health management and Digital health interventions.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Natural tenacity, resilience, and determination.

What do we offer?

• Fun working environment
• Employee Wellness Program

Actxa Pte Ltd is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Actxa Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Actxa Pte Ltd.

Your personal data will be processed for the purposes of managing Actxa Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice ( ) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

About InfoCepts

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data engineers to join us. We provide extensive training, bootcamps/on-the-job to prepare qualified candidates for an exciting career in Data Analytics in Government and Public Sector.

Responsibilities:

• Data Analysis and Reporting: Analyze large datasets to extract actionable insights and support business decision-making.
• MicroStrategy Development: Create, update, and maintain dashboards, reports, and data visualizations in MicroStrategy.
• Data Quality and Validation: Ensure data accuracy and integrity by conducting regular audits and data validation.
• Collaboration: Work closely with cross-functional teams to understand data requirements and deliver insights aligned with business needs.
• Support: Provide first-line support for MicroStrategy-related queries, troubleshooting issues, and guiding users through functionalities.
• Documentation: Maintain thorough documentation of data processes, analytics, and any adjustments made in MicroStrategy dashboards.

• Minimum 4 years of experience.
• Knowledge of accounting principles, financial statements, and financial modeling
• A basic understanding of data design pattern differences between transactional ERP systems (e.g. SAP) and analytical data warehouses (e.g. BigQuery, Snowflake)
• Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity
• Knowledge of SQL and working with large datasets
• Experience with data analytics tools and languages (e.g. R, Python)
• Experience building interactive data visualizations, strong storytelling skills (e.g. Tableau, Streamlit, Shiny)
• Experience building/applying statistical and/or machine learning solutions to solve business problems

At least (3) years of relevant experience in:

• Business Requirement Analysis
• Business Process and System Understanding
• Effective Communication with both business and technical users
• Conversant in Microsoft Office products

At least (2) years of hands-on experience as Azure Data Engineer using:

• Azure Data Factory
• Azure Synapse Analytics / Datawarehouse

At least (3) years of hands-on experience in:

• Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing
• Implementing Data Quality validation
• Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema
• Python Coding Experience

Required qualifications Bachelors of Engineering

DATA MANAGEMENT – MAILING OFFICER (12 months contract + 1 month completion bonus and renewable)

We are helping our client, a top european Private bank to look for a mailing officer, responsible for static maintenance.

GENERAL DESCRIPTION

The Data Management – Mailing officer is a key member in the Client Account Modifications department. He/She is responsible for mailing related static maintenance in Filler, eBanking, etc for client portfolios and agents (EAM/EFA/Finder relationships), as well as handling of ad-hoc client output requests.

KEY FEATURES OF THE POSITION

Client Management (internal & external)

• Establish and build strong relationship through consistent interaction with Front Office/key stakeholders across the Bank regarding the services and support they require and challenges faced

• Manage Front Office’s queries and support troubleshooting

• Deliver consistent service and meet the established SLAs (Service Level Agreements) while complying

with the Bank’s policies and procedures, as well as regulatory requirements

Business Management

• Timely and accurate processing of e-banking applications / modifications / cancellations, mailing addresses and conditions changes for clients and agents

• Handle returned mails for client portfolios

• Manage ad-hoc clients statements and advices printing requests

• Support the team in user acceptance testing and procedures documentation

• Maintain client data in the bank systems and perform clean-up when required

• Perform signature verifications of the client forms.

• Understand and possess good knowledge of system/business requirements in how client and agent records are maintained / derived

• Strong commitment to quality service and a desire to drive innovation and continuous process improvement initiatives

• Support any ad-hoc tasks / requests as assigned from time to time

Professional and Technical

• Degree with at least 3 years of related working experience

• Previous experience in mailing related data maintenance for Client and Agent (EAM, EFA, Finder) records is preferred

• Good knowledge of account documentation requirements in a Private Banking environment will be an advantage

• Good knowledge of MS Office applications (Word, Excel, PowerPoint), Macros and Visual Basic knowledge as well as an aptitude for technology

RANK APPLICABLE TO THE POSITION

• Contract for a year

REPORTING LINE

• Functionally to Head of Data Management – Mailing Team

The Payments Controls organization is seeking a Associate to join the Global Regulatory Developments and Engagement (GRDE) function to deliver on GRDE specific engagements and execute on regulatory and control activities. As an Associate you will focus on monitoring, identifying and understanding Regulatory Changes impacting Payments, and engage with the business and other stakeholders through the regulatory change life cycle.

Job Responsibilities:

• Data Analytical Support for Compliance Risk Assessment (CRA) – Troubleshoot issues, bug fixes and answer queries from team.

• Support CRA data generation, validation, upload and sync with CCOR (Compliance, Conduct and Operational Risk)

• Build automation processes and reports for CRA

• Address queries related to CRA and work with the broader team to address any identified data quality issues

Required Qualifications, Capabilities & Skills

• 5 + years of experience in banking, finance, or related fields with exposure in payments system/fintech/data management.

• Experience working in Regulatory or Control function

• Bachelor’s degree in Information Technology, Engineering, Science of other related disciplines

• Excellent skills in database and BI with strong knowledge of SQL

• Working knowledge of API and capable to build small Web Service from scratch

• Strong analytical and problem-solving abilities.

• Attention to detail and a commitment to data accuracy.

Preferred Qualifications, Capabilities & Skills:

• Working knowledge of AI/ML technology. Capable to use LLM to build applications highly desirable.

• Excellent skills in database and BI with strong knowledge of QlikSense,VBA,Access/VBA , SAS, R

This role is intended to be for an initial term of approximately 12 months only, however, subject to business needs, the contract may be extended or converted to permanent employment.

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

https://ars2.equest.com/?response_id=c763f66ad3f58385677742eaa2e98b33

SPD Scientific offers a comprehensive range of top-notch laboratory consumables, test-kits reagents, biomedical and laboratory equipment, and a host of microbiology culture media and diagnostic products. The company offers myriad benefits to customers in wide ranging industries, such as F&B sector, pharmaceutical, academic and government research institutions, and healthcare, by providing them the essential tools to assist in their medical research and discoveries.

Currently, we are looking for a Data Management Analyst to join our Team with the following responsibilities:

• Master Data Management: Oversee the global master data lifecycle processes, including the creation, validation, and deactivation of data specific to ERP, and CRM systems.
• Develop and enforce data governance policies and procedures maintained in the respective databases.
• Ensure data quality and integrity across the systems.
• Participate in cross-functional collaboration to support business requests.
• Suggest or support process improvements and best practices in relation to Data Management.
• Conduct regular data audits and quality assessments of the databases.
• Provide training and support to staff on data management practices.
• Resolve data-related issues and discrepancies within the systems.
• Maintain documentation for data management processes and policies.
• Able to translate business requirements into data modelling solutions and data infrastructure.
• Responsible for data migration and data standardisations within the organisations.

Qualifications:

• Bachelor’s degree in Information Technology, Business Administration, or other related fields.
• Minimum of 3-5 years of experience in master data management or a similar role.
• Experience in Microsoft SQL Server and possess advanced SQL queries skill.
• Strong understanding of data governance and data quality principles.
• Proficiency in data management tools and software (e.g., MSSQL Server Management Studio, Power BI, and Excel).
• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Attention to detail and a commitment to data accuracy.

Preferred Qualifications:

• Experience in using RapidStart tools and Configuration Packages for Dynamics Navision and/or Business Central.

Duties and Responsibilities:

• Calculate additional charges, such as shipping costs, to include in the invoices
• Ensure every invoice sent out is accurate
• Resolve billing errors
• Work with other members of the finance colleagues and the business units colleagues
• Perform any necessary administrative duties, such as auditing customer records
• Prepare account statements for customers
• Follow up on outstanding payments
• Other Ad-Hoc duties

Skills:

• Excellent written and verbal communication skills
• Understanding of basic accounting logic
• Strong attention to detail to keep accurate accounting entries
• Familiar with accounting software and Microsoft Excel Spreadsheets
• Solid organisational skills to keep track of invoices
• Great customer service skills to work with various clients
• Knowledge of data entry for record keeping
• General administrative skills, including managing emails and accounting books

Qualifications:

• LCCI Diploma or other Diploma with more than 1 year working experience, preferably in logistics firms.

Responsibilities:

• Recording financial transactions into accounting software (MYOB).
• Perform data entry work.
• Matching the transactions recorded in the accounting system to the bank statements to ensure accuracy and identify discrepancies.
• Posting journal entries into accounting system.
• Perform other duties as assigned

Requirements:

• Able to accept 6 months contract. Possibility to convert into permanent staff depends on performance
• With basic accounting knowledge preferred
• With experience in MYOB accounting software preferred
• A fast learner and able to cope with fast paced environment
• Attention to Detail

AngelineMah

Reg No: R2096146

One Vogue Pte Ltd

EA License: 19C9629

Duties and Responsibilities:

• Calculate additional charges, such as shipping costs, to include in the invoices
• Ensure every invoice sent out is accurate
• Resolve billing errors
• Work with other members of the finance colleagues and the business units colleagues
• Perform any necessary administrative duties, such as auditing customer records
• Prepare account statements for customers
• Follow up on outstanding payments
• Other Ad-Hoc duties

Skills:

• Excellent written and verbal communication skills
• Understanding of basic accounting logic
• Strong attention to detail to keep accurate accounting entries
• Familiar with accounting software and Microsoft Excel Spreadsheets
• Solid organisational skills to keep track of invoices
• Great customer service skills to work with various clients
• Knowledge of data entry for record keeping
• General administrative skills, including managing emails and accounting books

Qualifications:

• LCCI Diploma or other Diploma with more than 1 year working experience, preferably in logistics firms.

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• At least 10 years of experience in a relevant industry or consulting role. Management consulting experience gained through a Big 4 is highly advantageous
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments
• Experienced in engaging and managing a variety of stakeholders
• Prior experience of leading team for projects and pursuits
• Excellent written, communication, and presentation skills in English (additional local language skills are considered an asset)

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

JLL Technologies is a tech-focused division of Jones Lang LaSalle, a world leader in real estate services and a Fortune 500 company. This role is part of an embedded team that collaborates with strategic clients, primarily focusing on one of the largest software companies headquartered in Silicon Valley. The Data Support Analyst is responsible for providing data operations support to JLL client(s) through thorough data analysis and integrity checks, and is ideal for someone eager to engage directly with clients and partner with JLL leadership to shape the long-term direction of their role. The role requires effective interaction with clients, account leadership, and cross-functional teams in a fast-paced environment that demands the ability to manage multiple activities and delight clients simultaneously.

Responsibilities:

• Work closely with real estate and transaction teams to ensure timely and effective fulfillment of needs
• Conduct monthly quality assurance checks and maintenance on production data to ensure their fit-for-purpose
• Provide data operations support, including metrics updates and portfolio scenario configurations
• Prepare presentation decks to a high standard of quality
• Maintain data integrity and accuracy across multiple systems and tools
• Understand and anticipate client needs, proactively addressing their queries and concerns in a timely and professional manner
• Clearly and concisely communicate complex concepts and findings to both technical and non-technical stakeholders
• Continuously seek opportunities to improve processes and workflows, increasing efficiency and reducing errors

Requirements:

• Bachelor’s degree, or equivalent experience in a related field; relevant work experience will also be considered
• Working experience with tools such SQL, Excel, Google Sheets and a willingness to learn new technologies (e.g., Google Cloud Platform, Google Colab, AppScript).
• Proficient data analysis and data validation skills
• Meticulous and outstanding attention to detail
• Proven problem-solving abilities, with a focus on identifying root causes and implementing effective solutions
• Strong verbal and written communication skills
• Ability to prioritize tasks and manage workload effectively
• Self-motivated and a strong sense of ownership, with a drive to proactively identify opportunities and effect change
• Willingness to work across multiple time zones and adapt to changing priorities
• Exceptional customer service skills, with a commitment to delivering high-quality results