321 Cros jobs in Singapore

C-AB-002

Key Responsibilities:

· The client wants to create data integration, data marts, and data lakes in accordance with their data architect.

· However, rather than simply following instructions, it will be necessary to consider the current and future styles of data, communicate with multiple members, and perform design work when necessary (in other words, this role will require strong business analysis skills).

· We are looking for personnel who can provide this support.

Key Requirements:

· Bachelor's degree in computer science, Information Systems, Data Science, or a related field. Master's degree preferred.

· 8-10 years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).

· Basic knowledge of data governance (i.e. DAMA-DMBOK).

· Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.

· Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).

· Advanced SQL skills and strong ability to work with large, complex financial datasets.

· Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.

· Intermediate understanding of regulatory compliance in the APAC region.

· Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.

· Need to Power BI experiences

· People who can communicate and create basic reports

How to Apply:

If interested, please send your resume to or by clicking the "Apply Now" button.

We regret that only short-listed applicants will be notified.

Rachel Ling

Registration No: R21102195

EA Licence No: 21C0761

C-AB-002

Key Responsibilities:

· The client wants to create data integration, data marts, and data lakes in accordance with their data architect.

· However, rather than simply following instructions, it will be necessary to consider the current and future styles of data, communicate with multiple members, and perform design work when necessary (in other words, this role will require strong business analysis skills).

· We are looking for personnel who can provide this support.

Key Requirements:

· Bachelor’s degree in computer science, Information Systems, Data Science, or a related field. Master's degree preferred.

· 8-10 years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).

· Basic knowledge of data governance (i.e. DAMA-DMBOK).

· Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.

· Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).

· Advanced SQL skills and strong ability to work with large, complex financial datasets.

· Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.

· Intermediate understanding of regulatory compliance in the APAC region.

· Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.

· Need to Power BI experiences

· People who can communicate and create basic reports

How to Apply:

If interested, please send your resume to or by clicking the “Apply Now” button.

We regret that only short-listed applicants will be notified.

Rachel Ling

Registration No: R21102195

EA Licence No: 21C0761

Responsibilities

• Assist in the updating, extracting and uploading of database for marketing purposes;
• Perform data de-duplication, manipulation, cleansing, extraction, mapping/matching;
• Perform queries and list pulls for marketing campaigns;
• Monitor and perform updating, deduping, clean-up, extracting and uploading of database;
• Report on campaigns performance, effectiveness, and growth;
• Produce quantitative reports/presentations and communicate on findings, highlight any inconsistencies / issues;
• Work with business and IT resources regarding database issues and technical questions;
• The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities and qualifications may be required and/or assigned as necessary.

Requirements:

• Minimum 1-2 years of relevant database / reporting experience;
• Minimum Diploma in a relevant field;
• Highly proficient with Microsoft Excel (E.g.: Pivot Tables, Macros, etc);
• Understanding of database structure;
• Basic programming skills will be an advantage;
• Able to work in a deadline driven environment with the ability to meet aggressive deadlines;
• Able to handle multiple campaigns assigned;
• Observes attention-to-detail, meticulous and organized; and
• Fluent in both spoken and written English.

We regret that only shortlisted candidates will be notified.

Bloomberg's success hinges on its ability to harness and deliver high-quality data insights to clients.

The Data Management Lab (DML) is the nerve center of Bloomberg's Data organization, where a team of experts works tirelessly to ensure that industry best practices align with Bloomberg's established expertise in financial market data.

As a Lead Data Management Professional, you will play a pivotal role in shaping the company's data management strategy while driving impactful business decisions.

• Drive global initiatives focused on data quality, operational efficiency, and data management across all departments
• Design and execute analytical frameworks to uncover root causes for data quality issues and develop recommendations using Bayesian analysis, machine learning, and causal inference techniques
• Develop optimization strategies to balance trade-offs such as performance, quality, and resource usage across data pipelines
• Apply Operations Research methods like Linear programming, Queuing theory, and Monte Carlo Simulations to drive business outcomes
• Maintain a thorough understanding of data engineering workflows, including how data pipelines are orchestrated and various components within the ETL framework
• Deliver actionable insights through advanced analytics and compelling data storytelling to support business decision making and innovation
• Collaborate with data stakeholders and engineering partners to translate high-impact questions into scalable data science solutions
• Build statistical and analytical capabilities within the team and mentor others

To succeed in this role, you will need:

• A Bachelor's degree or higher in Data Science, Economics, Statistics, or a relevant STEM field, or equivalent professional work experience
• 3-5 years' experience designing data engineering pipelines and optimizing data management processes
• Proficiency in Python (e.g., PySpark, Pandas, NumPy, or Pymc) and SQL
• Experience working in a data quality, data governance, or data management role, with a focus on delivering high-quality data insights to clients
• Familiarity with modern data tech stack tools, such as dbt, Iceberg, Trino, Airflow, Superset, etc.
• Familiarity with version control systems (e.g., Git) and a collaborative development workflow environment (e.g., GitHub, GitLab)
• Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
• Demonstrated continuous career growth within an organization
• Excellent written and verbal communication skills in English

It would be beneficial if you had experience in:

• Data Management Association (DAMA) and Data Management Capability Assessment Model (DCAM)
• Knowledge of financial markets and Bloomberg products

Job Title: Data Manager

Job Summary:

We are seeking a skilled data management professional to join our team. The successful candidate will provide support to clients in creating data integration, data marts, and data lakes in accordance with their data architect.

Main Responsibilities:

• Design and implement data integration, data marts, and data lakes in accordance with the client's data architect.
• Collaborate with cross-functional teams to identify business requirements and develop solutions that meet those needs.
• Develop and maintain data governance policies and procedures to ensure compliance with regulatory requirements.
• Provide technical expertise to stakeholders on data management best practices and tools.

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. Master's degree preferred.
• 8-10 years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry.
• Basic knowledge of data governance (i.e. DAMA-DMBOK).
• Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.
• Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).
• Advanced SQL skills and strong ability to work with large, complex financial datasets.
• Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.
• Intermediate understanding of regulatory compliance in the APAC region.
• Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.

Benefits:

• A competitive salary and benefits package.
• Opportunities for professional growth and development.
• A dynamic and supportive work environment.

How to Apply:

If interested, please send your resume to hr email or apply through website.

Role: Data Management

Job Requisition Number: AB-002

Job Level: 7 - 10 years of relevant Experience (L4)

Key Responsibilities:

· The client wants to create data integration, data marts, and data lakes in accordance with their data architect.

· However, rather than simply following instructions, it will be necessary to consider the current and future styles of data, communicate with multiple members, and perform design work when necessary (in other words, this role will require strong business analysis skills).

· We are looking for personnel who can provide this support.

Key Requirements:

· Bachelor's degree in computer science, Information Systems, Data Science, or a related field. Master's degree preferred.

· 7-10 years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).

· Basic knowledge of data governance (i.e. DAMA-DMBOK).

· Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.

· Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).

· Advanced SQL skills and strong ability to work with large, complex financial datasets.

· Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.

· Intermediate understanding of regulatory compliance in the APAC region.

· Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.

· Need to Power BI experiences

· People who can communicate and create basic reports

Please forward your resume in MS word format to

The successful candidate will be responsible for ensuring that service level agreements (SLAs) and key performance indicators (KPIs) are consistently met, reviewed, and revised as needed.

Key responsibilities include:

• Overseeing the data management team to guarantee timely and accurate processing of human resources data.
• Ensuring SLAs and KPIs are consistently met, reviewed, and revised as needed.
• Acting as a subject matter expert in HR data management, overseeing and managing agreed HR processes, and ensuring services are delivered in line with relevant legislation requirements.
• Developing and maintaining good working relationships with cross-functional teams, internal shared services, HRIS teams, and various business partners.
• Analyzing work process design to implement improved processes and suggesting appropriate solutions or improvements to raise employee experience and efficiency.

Requirements:

• Minimum 3 years of human resources experience, preferably with at least 1 year of supervisory management experience.
• Past working experience in payroll administration in healthcare is an added advantage.
• Competent in HR system and MS office.

**Job Description:**

We are seeking a skilled Operations Specialist to join our team. In this role, you will play a critical part in maintaining data accuracy and integrity across various systems.

• Data Management: Set up and maintain counterparty profiles, trading portfolios, and other critical data within Murex, Front Arena, AXE, MLC, UBIX, and other relevant Treasury systems.
• Stakeholder Collaboration: Collaborate with Treasury dealers, Relationship Managers, Finance Department, RMG, and processing teams to resolve static configuration issues and ensure data accuracy.
• Process Improvement: Identify opportunities to improve Straight-Through Processing (STP) and overall operational efficiency through technology enhancements and process optimization.
• Quality Assurance: Maintain the highest standards of data accuracy and integrity, adhering to strict internal controls and regulatory requirements.

**Required Skills and Qualifications:**

The ideal candidate will have experience in Treasury operations, settlement, and currency management. A strong analytical mindset and attention to detail are essential for success in this role.

**What We Offer:**

This is an excellent opportunity to work in a dynamic team and contribute to the growth and success of our organization.

Job Title: Data Management Specialist

Roles and Responsibilities:

• Perform daily storage system monitoring by utilizing advanced NetApp tools.
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• Review email alerts and AIQ reports to ensure timely resolutions.
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• Contribute to documentation, defining and updating technical standards and processes consistently.
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• Provision SAN and NAS infrastructure, including zoning configuration.
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• Perform capacity management, optimization, and sustainable operations in resource allocation and utilization.
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• Participate in preventive maintenance and serve as an escalation point for complex technical issues.
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• Collaborate with internal teams and vendors to achieve timely resolutions.
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• Perform Clustered ONTAP upgrades and recommendations.
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• Attend weekly or bi-weekly project status meetings.
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• Coordinate PM and PS activities for potential projects.
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• Participate in scheduled SAM reviews and coordinate with SAM for P1 issues.
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• Ability to work beyond business hours and weekends for contingencies if required.
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Core Competencies:

• NetApp FAS/AFF with cluster interconnect switches.
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• Advanced understanding of storage protocols such as CIFS, NFS, iSCSI, and NVMe.
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• Unified Manager, LogicMonitor, System Manager, and Cloud Insight.
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• Interoperability Matrix Tool (IMT) compatibility checks for hardware supportability.
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• Deployment from rack/stack to cluster management setup.
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• Strong troubleshooting skills with the ability to diagnose and resolve complex storage issues.
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• Networking fundamentals and architecture, server platforms, virtualization, system administration, and ITSM.
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Requirements:

• Proficiency in NetApp technologies and related storage systems.
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• Advanced understanding of data management principles.
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• Excellent analytical and problem-solving skills.
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• Ability to work independently and collaboratively within a team environment.
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• Good communication and interpersonal skills.
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Preferred Qualifications:

• Bachelor's degree in Computer Science or related field.
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• Relevant work experience in data management and storage infrastructure.
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• Certifications in NetApp technologies and related areas.
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Benefits:

• Competitive salary and benefits package.
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• Ongoing training and development opportunities.
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• Opportunities for career advancement.
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How to Apply:

Apply online through our website or contact our HR department for more information.