Key Responsibilities

Business Understanding

• Conduct thorough business requirement analysis to bridge the gap between business needs and technical solutions.
• Understand business processes and systems to support various functions such as Finance, Commercials, and Operations.
• Serve as a liaison between business and technical users, ensuring effective communication and understanding.

Azure Data Engineering

• Develop and maintain data pipelines using Azure Data Factory.
• Utilize Azure Synapse Analytics/Datawarehouse for data processing and analysis.
• Collaborate on projects leveraging Microsoft Azure Data Engineer Associate certifications (preferred).

Data Ingestion & Modeling

• Perform data ingestion tasks using Data Factory, T-SQL stored procedures, and data harmonization techniques.
• Implement and validate data quality checks to ensure accurate outputs.
• Design data models in Azure Analysis Services using star and snowflake schemas.
• Create dimensions and measures using DAX queries.
• Utilize Python for advanced data transformations and processing (preferred).

Technical Support

• Provide technical support (80%) and enhancements (20%) for existing Azure applications.
• Address system issues by identifying root causes and resolving them in a timely manner.
• Trace processes end-to-end to verify data accuracy and ensure seamless operations.
• Maintain documentation and logs for issue resolution and enhancements.

Others

• Utilize Microsoft Office products effectively to document processes and communicate updates.
• Stay updated on the latest tools and techniques in Azure data engineering.

Qualifications

• 3+ years of experience in Business Requirement Analysis and Process/System Understanding.
• 2+ years of hands-on experience as an Azure Data Engineer using Azure Data Factory and Azure Synapse Analytics/Datawarehouse.
• Strong knowledge of data modeling and data validation techniques.
• Technical proficiency in DAX, Python, and Azure Databricks (preferred).
• Familiarity with providing technical support and resolving issues in Azure-based production systems.
• Relevant Microsoft certifications, such as Azure Data Engineer Associate, are an advantage.

EA License Number: 11C4879

Always feel like YOU have the ability to shine?

Just Graduated/ORD-ED/ Looking for a Change?
Look no further!

As the leading industry expert, Euphoria Organisation is the go-to outsourced sales and marketing firm that renowned businesses rely on to increase their market share and brand awareness.

We are now expanding and looking to groom the next leaders of the industry and bring their careers to greater heights.

Responsibilities:

• Conduct sales and marketing strategies via face-to-face marketing channels to potential clients
• Support and enhance the team's business growth

You can look forward to:

• A Competitive Salary & Performance Bonuses
• 1-on-1 Mentorship
• Career Advancement and Progression
• Personal Development
• Overseas Exposure
• Dynamic Working Culture

Requirements:
* Adaptable & Determined
* No Experience Required as Training is Provided

Apply now if you are the next big thing out there :)

Duration: 1 year

Location: Caldecott

Working Hours: Monday - Thursday 830am to 6pm; Friday 830am to 530pm

Responsibilities:

• Support in administrative tasks such as maintaining and updating of data.
• To process simple data cleaning and analysis.
• Support the team in liaising with different agencies to coordinate meeting dates and to obtain the required updates.

Requirements:

• Singaporean
• IT degree and experience in Python.
• Detail-oriented.
• People-oriented.
• Able to process and structure large amounts of information.

To apply, simply click "APPLY" and submit your curriculum vitae (CV) through GO, the official PERSOLKELLY job application platform.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23114622 So Man Xin

Admin Executive

Working Hour : 5 days 9am-6pm

Salary : $3000-$3200

Office : Macpherson

Responsibilities
Processing invoices, delivery orders and other documents part of the sales process.
Processing payment for bills and expenses
Secretarial and admin support to director
Liaise with suppliers for deliveries
Data entry, paper work, scanning, photocopying and filing of documents
Provide administrative support
Perform ad- hoc duties assigned

Chew Xing Shan Reg No: R22107044

The Supreme HR Advisory Pte Ltd EA No: 14C7279

WhatsApp: +65 83592812 [Shannon]

Just Graduated/ORD-ED/ Looking for a Change?
Look no further!

As the leading industry expert, Euphoria Organisation is the go-to outsourced sales and marketing firm that renowned businesses rely on to increase their market share and brand awareness.

We are now expanding and looking to groom the next leaders of the industry and bring their careers to greater heights.

Responsibilities:

• Conduct sales and marketing strategies via face-to-face marketing channels to potential clients
• Support and enhance the team's business growth

You can look forward to:

• A Competitive Salary & Performance Bonuses
• 1-on-1 Mentorship
• Career Advancement and Progression
• Personal Development
• Overseas Exposure
• Dynamic Working Culture

Requirements:
* Adaptable & Determined
* No Experience Required as Training is Provided

Apply now if you are the next big thing out there :)

Responsibilities:

• Ensure accurate static data maintenance for clients such as creation of client accounts and upkeep client information
• Process closure of client and counterparty accounts
• Conduct name searches as requested by management
• Process e-banking applications / modifications / cancellations for clients
• Manage Hold Mail services provided to clients

Requirements:

• Degree with 1-2 years of experience in banking
• Previous experience in static data maintenance for client is highly preferred
• Good knowledge of account documentation requirements
• Basic hands on experience in Excel / Access based automation (e.g. Macros) to improve efficiency would be an advantage

Please state your availability, current and expected salary in the resume.

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | Sarah Kuan | Registration No: R1105359

The successful candidate will play a pivotal role in designing and implementing solutions for automating data services processes. This position requires strong technical expertise, analytical problem-solving skills, and effective collaboration within a team-oriented environment.

Key Responsibilities:

• Develop, deploy, and maintain automation solutions for data services.
• Write efficient and maintainable code using Python, SQL, and PL/SQL.
• Leverage CI/CD pipelines to enhance deployment and automation processes.
• Work with data warehouses such as Snowflake and Oracle to optimize data workflows.
• Collaborate with cross-functional teams to analyze requirements and deliver effective solutions.
• Troubleshoot and resolve issues in automation systems and data pipelines.
• Contribute to the continuous improvement of existing processes and technologies.

Mandatory Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proficient in Python, SQL, and PL/SQL.
• Experience with CI/CD pipelines for automation and deployment.
• Familiarity with data warehouses like Snowflake and Oracle.
• Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.

Preferred Qualifications:

• Experience in data engineering or data services roles.
• Familiarity with cloud platforms and big data technologies.

EA License Number : 11C4879

About Pinterest:

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.

We are looking for an experienced Data Scientist to join our team and help us grow our international advertising business, international expansion is critical to Pinterest success. As a key member of our team, you will be responsible for developing and implementing innovative and effective data-driven strategies that can significantly enhance decision-making. Accuracy, a keen eye for detail, and a hands-on approach are essential qualities that we are looking for in this role. This role collaborates with Product Managers and Engineering to find the best ways to grow this critical advertising group.

What you’ll do

• Deep strategic analysis to answer core questions such as: How can we help advertisers see better performance? Why do SMB advertisers churn? Who should our target audience be?
• Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement and investment.
• Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.
• Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric
• Improve machine learning models which power notifications delivery and content, via direct contributions, new features/signals, and/or compelling analyses.
• Leadership and Partnership: Lead the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Partner with cross-functional teams to ensure they are held to rigorous data standards and are using data to aid each decision being made.

What we’re looking for:

• 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
• Strong background in statistics, machine learning, and/or experimentation
• Domain knowledge in advertising and product development
• Proven ability to apply scientific methods to solve real-world problems on web-scale data
• Proficiency in SQL/Hive/Python
• Strong proficiency in both English and Mandarin for effective communication with internal teams and external partners.

The best candidates will also have:

• Strong sense of ownership, willingness to dive in and do work, even if it's not the most glamorous, to get the job done. Can work with dirty data sets, do manual labeling, and improvise as needed to work around problems. Works quickly and efficiently, doesn't think any work is below them.
• Impact-driven mindset. Proven track record of making things happen.
• Technical proficiency. Can write efficient SQL queries for many-to-many datasets without erroneous duplication; familiar with left outer join and why it would be useful. Able to write basic code but needn't write elegant solutions to the sorts of algorithm questions often found in coding interviews.
• Strong business / product sense. Ability to ask the right questions (why the work is important, what decisions will help inform it, what an 80% solution will look like). Can explain why past work done was important and justify decisions made. Wants work to be practically applicable and have product impact in the short- to medium-term (< 6 month).
• Data skepticism and curiosity. Doesn't think data or a model can solve every problem; digs into anomalies and wants to understand them. Identifies issues in datasets.
• Strong communication skills. Explains work and thought processes clearly and concisely.
• Desire for simplicity. Don't strive for perfection when a simple solution will do the job. Recognizes that linear models and plain old counting can be very powerful.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• As such, this role will need to be in the office or in front of our customers for in-person collaboration, typically 2 days per week, and therefore needs to be in a commutable distance to our Singapore City based office.

Our Commitment to Diversity:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Business Understanding At least (3) years of relevant experience in:
- Business Requirement Analysis
- Business Process and System Understanding
- Effective Communication with both business and technical users
Azure Data Engineering At least (2) years of hands-on experience as Azure Data Engineer using:
- Azure Data Factory
- Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;
Data Ingestion & Modelling 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.
• Knowledge of writing DAX query to create measures & dimensions.
• Python Coding Experience
Others Conversant in Microsoft Office products

The Data Analytics Lead will spearhead the analytics team, ensuring that data-driven insights are effectively used to shape company strategy and drive business outcomes. This role requires a deep understanding of data modeling, reporting, and analytics tools to enhance decision-making across various departments. The ideal candidate will have a proven ability to work cross-functionally and deliver high-quality analytics projects.

Key Responsibilities:

• Lead and manage the data analytics team to deliver actionable insights that support business decisions and improve company performance.
• Develop and implement analytics strategies and frameworks to solve complex business problems.
• Oversee the design, development, and maintenance of data pipelines, dashboards, and reporting systems.
• Collaborate with cross-functional teams (e.g., Product, Marketing, Finance) to identify data needs and translate business requirements into technical specifications.
• Ensure data integrity and consistency by defining best practices for data collection, storage, and analysis.
• Mentor and provide technical guidance to junior team members to enhance their analytical and technical skills.
• Present findings to senior management, providing strategic recommendations based on data insights.
• Stay updated on industry trends, emerging technologies, and best practices in data analytics to continuously improve the team’s capabilities.

Qualifications:

• Bachelor's or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 5+ years of experience in data analytics, with a minimum of 2 years in a leadership role.
• Strong expertise in data analytics and visualization tools, SQL, Python, R, Tableau, Power BI etc.
• Experience with data warehousing solutions, cloud platforms and ETL processes.
• Excellent problem-solving skills, with a proven ability to analyze complex datasets and communicate findings in a clear, actionable manner.
• Bilingual proficiency in English and Chinese, enabling effective communication across multilingual teams and stakeholders.

About the company

CGS International Securities Pte. Ltd. (CGS International) is an award-winning and market leading integrated financial services provider, ranked among the top securities houses in Asia.

CGS International taps on our wealth of global and ASEAN insights to offer equities trading, leveraged products, wealth management, investment banking, equities research, Shariah-compliant financing, fixed income, currency and commodities, structured products and prime brokerage services in over 15 countries and regions.

Along with its parent organisation China Galaxy Securities, a leading securities house in China, CGS International is trusted by more than 15 million customers globally.

Job Description

• Assist in organizing and maintaining data governance documents and policies.
• Help monitor data quality and flag any issues.
• Support the team in maintaining data records and updating data dictionaries.
• Work with different teams to resolve simple data-related issues.
• Assist in generating reports on data quality and governance activities.
• Assist in the activities related to Data Governance framework implementation within CGSI group.

Job Requirements

• 0-2 years of experience in data management or related field.
• At least Diploma in Computing or a related field.
• Basic understanding of data management/governance concepts
• Strong organizational skills
• Familiarity with Microsoft Excel or basic data tools is a plus
• Good communication skills
• Preferably has experience working with cross-geographical teams
• Proactive
• Keen to learn
• Has an eye for detail
• Willing to share and collaborate

Duration: 1 year

Location: Caldecott

Working Hours: Monday - Thursday 830am to 6pm; Friday 830am to 530pm

Responsibilities:

• Support in administrative tasks such as maintaining and updating of data.
• To process simple data cleaning and analysis.
• Support the team in liaising with different agencies to coordinate meeting dates and to obtain the required updates.

Requirements:

• Singaporean
• IT degree and experience in Python.
• Detail-oriented.
• People-oriented.
• Able to process and structure large amounts of information.

To apply, simply click "APPLY" and submit your curriculum vitae (CV) through GO, the official PERSOLKELLY job application platform.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23114622 So Man Xin

Contract: 12 months

Location: Caldecott

Responsibilities

• Support in administrative tasks such as maintaining and updating of data.
• To process simple data cleaning and analysis.
• Support the team in liaising with different agencies to coordinate meeting dates and to obtain the required updates.

Requirements

• Degree
• Experience in Python
• Able to process and structure large amounts of information.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/apply/10214

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

Data Engineer ( Informatica and Azure Data Factory)

Job Requirement:

• Data Engineers with experience in Informatica, Azure Data Factory or Databricks, or Microsoft Fabric typically have responsibilities centered around designing, implementing, and managing data pipelines and architectures that support data integration, transformation, and analytics within a cloud-based or hybrid environment.
• Design and implement ETL (Extract, Transform, Load) workflows using Informatica PowerCenter, Informatica Cloud.
• Build and manage ETL and ETL data pipelines using Azure Data Factory (ADF) to orchestrate data movement and transformation across on-premises and cloud environments.
• Create and optimize Spark-based data pipelines in Databricks, using notebooks or jobs to ingest, clean, and transform large datasets for analytics and reporting.
• Work with Microsoft Fabric to integrate and manage dataflows, datasets, and transformation processes across its unified data platform, helping build scalable data pipelines.

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

Recruitment Manager

Hand Phone: +65 92333815

Helius Technologies Pte Ltd (EA Licence No: 11C3373)

Duration: 1 year contract

Location: Raffles Place

Responsibilities

• Manage pipelines via channels such as sourcing, screening and referrals for multiple, complex searches to find and engage key technical talents of all levels.
• Collaborate closely with the Recruiting team (Recruiters, Coordinators, other Sourcers) & hiring managers throughout the recruitment lifecycle to ensure business's needs and goals are fulfilled.
• Develop a holistic business understanding and manage stakeholder relationships including HR, hiring managers, and external partners.
• Own and drive innovative sourcing strategies, initiate new projects and/or optimise current processes to improve recruiting process and efficiency
• Conduct complex data analysis and share up-to-date, accurate, and value-adding market intelligence to business leaders to support business growth.
• Prequalify potential candidates to determine their qualifications
• Own interview scheduling process and communicate logistics to both candidates and hiring teams
• Manage candidate communication throughout the recruitment process and providing feedback.
• Ensuring a great candidate experience and advocate company as a great place to work for all candidates.

Requirements

• Proven experience with research/sourcing tools (ie. Boolean, LinkedIn and other alternative sourcing techniques) to identify & engage passive candidates within the internet industry talent space.
• Strong analytical and problem solving skills with capability to analyze high amounts of data to support business strategies and decisions.
• Excellent interpersonal skills with the ability to build rapport quickly with stakeholders and communicate effectively across all levels of the organization internally, as well as externally.
• Sourcing experience in a high-volume environment (via search firm or in-house recruiting environment)
• Experience partnering with recruiters, hiring teams and external partners across different offices.
• Ability to contribute in a fast-paced work environment and prioritize multiple functions and tasks.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/details/10306

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

Job Description:

1. Monitor and maintain critical data centre infrastructure, including power distribution systems (UPS, generators), HVAC systems, fire suppression systems, and access control systems.
2. Perform preventive maintenance on data centre equipment and systems.
3. Respond to alarms, troubleshoot issues, and ensure prompt resolution.
4. Liaise with the building landlord to coordinate maintenance schedules, address building infrastructure issues, and ensure compliance with safety regulations.
5. Support off-office hours activities, including responding to emergency alarms, performing on-call duties, and coordinating with vendors for emergency repairs.
6. Ensure strict adherence to data centre physical security procedures.
7. Follow documented incident response procedures, track incidents to closure, and communicate with stakeholders.
8. Generate reports to management, including monthly performance reports, incident summaries, root cause analyses, and status reports on ongoing projects.

Qualifications:

1. 3+ years of experience in data centre facility management.
2. Experience working in a 24x7 mission-critical environment.
3. Strong knowledge of electrical and mechanical systems in data centres.
4. Experience with fire suppression systems and access control systems.
5. Proficiency in troubleshooting and problem-solving.
6. Excellent communication and interpersonal skills.
7. Must have prior experience working in data centre operations in financial institutions.

Interested candidates may apply through the application system. We regret to inform only Shortlisted candidates will be notified.

EA License No. 01C4394 • RCB No. 200007268E •Derrick Tiew Yong Han EA Registration No. R1877971

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Data is core to Preqin’s industry offerings, and the Data and Research Management (DRM) team delivers accurate, timely and complete data enhancing the value of our award-winning offerings. The trust in our underlying content enables our clients to make key investment decisions. Besides collecting content, the data management team collaborates extensively with our internal and external clients to improvise our offerings leveraging technology and subject matter expertise. The team understands the life cycle of data and establishes business intelligence reports seeking operational excellence.

As a Associate, you will join the Data Shared Services (DSS) team and be responsible for maintaining existing data workflows & automation with opportunities to participate in building & executing new developments for the DRM department. This role will also include handling queries, responding to errors & feedback with stakeholders.

What you’ll be doing:

• Maintain, run & troubleshoot existing data workflows & automation
• Engage with stakeholders to answer queries, respond to errors and/or feedback
• Assist in building new data workflows & automation
• Assist in ongoing projects as well as adhoc data analysis

What you’ll bring to us:

• You are strongly self-motivated, proactive, and willing to learn
• Strong interest in building data tools & automation as well as analysing data
• Analytical and problem-solving mindset with ability to break down high-level requirements into actionable solutions and to think outside the box
• Strong communication skills to engage with internal stakeholders
• Proficient in Excel (preferably with pivot tables), experience with Alteryx is an advantage

Why join us?

About Us

You will be joining the world’s leading data and insights provider for the alternative assets market. We empower the global financial community with critical information and leading analytics solutions to help them make faster and smarter investment decisions, and to make them with confidence. A forward-thinking company, we lead our industry through innovation. We trust in the power of data, and we use it to increase transparency in alternatives. We believe that access to information leads to more investment in the ideas and infrastructure that build strong communities.

Our Culture
We centre our culture in our teams members growth, sparking their curiosity and fuelling their career adventures. We celebrate and recognise contribution, high performance and strong collaborative behaviours. We’re building and growing our learning programs, frameworks and tools to help people thrive and it's an exciting time to join us. We support our internal communities and donate our time, knowledge and support to the communities that surround our offices globally.

Equal opportunities

Preqin is an equal opportunity employer, with diversity at the heart of our business. It is the policy of Preqin to ensure equal employment and consider all qualified applicants without regard to race, colour, religion, sex, sexual orientation, marital status, gender identity or expression, national origin, age, disability, pregnancy, veteran status, genetic information, socioeconomic status, political affiliation, or any other basis prohibited by applicable law.

Maltem Singapore is currently seeking a Junior Data Management Specialist for our Wealth Management Client.

Summary:

Support Research Data Management BAU and projects.

Skillset Requirements:

• Possess a degree in Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• Data Operations, Data Quality Checks and UAT focused is a must.
• Relevant experience in interacting and liaising with Vendor counterparts.
• Possess 1 to 3 years of relevant data operations working experience.
• Experience in managing data reconciliation/quality checks/dashboarding (implementation, monitoring and troubleshooting).
• Ensure that the data issues are actively detected, tracked, and fixed without breaching SLA.
• Hands on experience in Snowflake and Tableau.
• Basic Python will be advantageous.
• Experience in performing User Acceptance Testing (UAT).
• Able to work closely with business end-users, Data Vendors, Data Product team and Data Engineers to facilitate ingestion of new data and provide support existing data while adhering to our established data framework processes.
• Experience in in providing documentation support, e.g. in technical/functional specifications.
• Able to provide clear requirements and collaborate with Data Engineers to enable robust and scalable design of data solutions for data ingestion and management across our diverse range of datasets.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.

As part of our team, you can look forward an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.

https://nusit.nus.edu.sg/

Job Description

We are seeking an experienced Data Engineering Lead to oversee the data engineering team in NUS.

The role will be responsible for leading and guiding teams in the development of high-quality data lakehouse, ensuring they meet business needs and align with NUS strategic goals. The role will also ensure the proper implementation across all stages of the data lifecycle

This role will manage a team of 6 data engineers handling ELT/ETL framework and end-to-end data pipelines from various source systems to data lakehouse with a plan for future growth.

This is a hands-on leadership role and the candidate should have been on active hands-on development at least 5 years prior.

Duties and Responsibilities

Technical Expertise
• Participate in the technical design of data platforms and their technologies, including their framework, architecture, standards, and guidelines.
• Provide technical guidance and expertise to the team, helping to solve complex technical challenges.
• Stay updated about emerging technologies and industry trends to drive innovation within our organization.
• Ensure adherence to best practices in design, development, testing, and maintenance.
Leadership and Team Management
• Lead and mentor the team, fostering a culture of innovation, collaboration, and excellence.
• Provide direction and guidance to the team in managing the full data lifecycle.
• Perform Scrum Master role for the team.
• Develop and implement strategies to enhance team’s performance and productivity.
• Foster collaboration and high-performance culture within the team.
Delivery Management
• Ensure timely and high-quality delivery, aligning with project objectives, scope, and timelines.
• Oversee the design and implementation of data lakehouse to meet the university’s needs.
Quality Assurance
• Implement quality control and testing procedures to guarantee the high-quality delivery.
• Ensure data lakehouse aligns with the university's regulatory and compliance requirements.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 7 years of experience in technical leadership roles, with a strong emphasis on data lakehouse and data engineering solutions.
• Proven ability to lead data engineering teams, promoting collaboration and achieving project objectives.
• Strong problem-solving and critical-thinking skills, with a proven track record of effectively addressing technical challenges and risk mitigation.
• Strong knowledge of quality assurance processes, encompassing testing methodologies, and quality control procedures.
• Relevant experience in designing, developing, and supporting data lakehouse and data engineering solutions.
• Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors.
• Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit.

Technical Expertise
• Strong working experience in end-to-end development of data lakes and data warehouses, preferably with experience in Informatica.
• Strong working experience in Azure Data services, preferably Azure Fabric.
• Strong database working experience for transactional and analytics systems, including querying and tuning large, complex data sets and performance analysis.
• Working experience in big data and DataSecOps is an added advantage.

Entry level candidates are welcome to apply

Job Responsibilities:

• Prepare and maintain financial records in compliance with regulations.
• Process invoices, payments, and expense reports promptly and accurately.
• Basic data entry.
• Handle scanning & bookkeeping.
• Any other ad-hoc matters assigned.

Job Requirements:

• Diploma / Degree in Accounting or equivalent
• Or at least 2 years relevant experience if without Diploma/Degree
• Proficient in Microsoft Office and must have used accounting software
• Meticulous, performance-oriented, and self-motivated with good interpersonal and communication skills
• Responsible, meticulous & committed to deadlines.
• Team player and ability to work independently.
• Welcome to the candidate with no experience.

Working Location: Raffles Place.

Working Hours: Mon - Fri 9AM - 6PM

Looking for somewhere fun, supportive where you can grow, develop and make a impact? Well, check us out!

We are a leading marketing and sales company in S.E.A, that works with both national and international MNCs, to help them boost their brand awareness and market shares.

What we do:

• Increase brand awareness and market share of our client
• Develop your communication skills
• Build your leadership capabilities

Benefits:

• Travelling opportunities to different markets eg Taiwan, Hong Kong, US, Australia, KL (based on performance)
• 1 to 1 mentorship and guidance
• Personal development workshops

Who we are looking for:

• Hardworking individuals
• Great learning attitude

Are you the one we are looking for? Apply now to get started!

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs.

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements.

• Coordinate interviews between candidates and clients

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

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

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

Position title: Optometrist

Location: Orchard

Working Days: 5 Days [ Rest day & off day fall on weekdays ]

Working hours : 11am - 830pm (Monday to Sunday)

Salary : $3500 - $4200

Interested applicants can also send your resume to WA:+65 8839 3566 (Ms Angel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

LIEW ONN KEE REG NO : R22108518

THE SUPREME HR ADVISORY EA NO:14C7279

Responsibilities

• Perform eye examinations using specialized equipment for diagnosis and testing
• Provide professional advices and solutions to customers
• Communicate with customers to get detailed case histories
• Present good knowledge when explaining the feature of the contact lens
• Dispense and manage the inventory of contact lens, trials and solutions
• Maintain patient eye health and purchases records
• Maintain good condition of equipment and measuring devices
• Ensure smooth running of daily shop operations
• Reports to Asst Optom Manager.

Requirement

• Minimum Diploma in Optometry
• Fully registered with Singapore Optometrists & Optician Board (OOB)
• Around 2-3 years of experience as Optometrist
• Able to commit retail hours (11am to 830pm) and work on weekends and public holidays