748 Monitoring Analyst jobs in Singapore

• Attached to FinancialCompliance Department
• Review and investigate all transaction alerts generated by Transaction monitoring system
• Timely review of ad-hoc escalated review from other functional units within the AML team.
• Communicate with relevant business line and other functional units to provide AML and transaction monitoring advisory, expertise and all transaction monitoring matters
• Due Diligence and background check on suspicious cases/alerts
• Ensure timely escalation of alerts, and escalate suspicious transaction reports (STRs) appropriately
• Contribute and maintain KRI (Key Risk Indicators) for Transaction monitoring Team
• On an adhoc basis, may be involved in other FCC related work as assigned
• 8.45am to 6.15pm (Mon to Fri)

Elsa Fontanne (CEI No. R24124496)

Email Address:

Recruitment Consultant

Recruit Express Pte Ltd / EA Licence No: 99C4599

We regret only shortlisted candidates will be contacted

Attached to FinancialCompliance Department
Review and investigate all transaction alerts generated by Transaction monitoring system
Timely review of ad-hoc escalated review from other functional units within the AML team.
Communicate with relevant business line and other functional units to provide AML and transaction monitoring advisory, expertise and all transaction monitoring matters
Due Diligence and background check on suspicious cases/alerts
Ensure timely escalation of alerts, and escalate suspicious transaction reports (STRs) appropriately
Contribute and maintain KRI (Key Risk Indicators) for Transaction monitoring Team
On an adhoc basis, may be involved in other FCC related work as assigned
8.45am to 6.15pm (Mon to Fri)
Elsa Fontanne (CEI No. R24124496)
Email Address:
Recruitment Consultant
Recruit Express Pte Ltd / EA Licence No: 99C4599
We regret only shortlisted candidates will be contacted
#J-18808-Ljbffr

We are looking for a Data Analyst to join a team spearheading the regulation and deployment of EV charging systems in Singapore.

• Opportunity to be a part of an innovative team in regulating the EV industry.
• Attractive remuneration package
• Hybrid work arrangement.

Responsibilities:

• Be responsible for initiatives to enable the collection, transmission and publishing of EV charging-related data.
• Oversee and manage the development of a digital platform comprising a charger planning module, to aggregate and process EV charging-related data, facilitating deployments.
• Work with our technical partner's team to complete the remaining development works for the digital platform.
• Oversee the transition of the digital platform into business operations in the steady state.
• Collaborate with stakeholders on other activities related to transmitting and publishing data.

Requirements:

• Bachelor's Degree in IT or Data-related fields.
• Min. 3 year of relevant experience.
• Work in a fast-paced, dynamic environment; and may be required to work on multiple initiatives in the same period.
• Strong writing and presentation skills, with an eye for details.
• Experience in managing or developing IT systems and knowledge in EV charging communication protocols are a plus.

Interested candidates may click on apply or apply via email to (indicating Job ID J58156 for faster processing).

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec's Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Lee Wen Ying (Mattias) - R23112909

ScienTec Consulting Pte Ltd - 11C5781

Proficiency in tableau and basic coding skills (Python/ SQL in data extraction/ joins and basic processing) are necessary, while having experience in data engineering is advantageous.

Candidate must have deep interest in working with data, understanding data lineage and process dependencies.

Responsibilities include:

BAU Support for MIS Reporting

• Supporting monthly financials/ cost analysis including variance computation and financial driver analysis
• Support monthly generation and validating financial output of MIS reports for Cost Management & Group Support Units
• Support data extraction and processing from various sources, including data cleansing/ transformation across financial ledgers, MIS systems, HR resource databases, Procurement and contract records etc for consolidated, management-ready financial output

Tableau Dashboard Development and Maintenance

• Maintain and implement ongoing refinements & enhancements to tableau dashboards used for the generation of MIS reports
• Support development of strategic dashboards for new requirements

Change: Operational excellence through process re-engineering

• Identify and solution for areas of improvement/ optimisation/ automation in operational workflow for monthly processes

Interested candidates kinldy submit your update CV in a Word Format to: Only shortlisted candidates will be notify. Thank you.

Job Responsibilities:

1. Drive business growth through data analysis and modeling; iterate product strategies using A/B testing to improve user experience and retention;
2. Collaborate closely with product, operations, and R&D teams to establish a data analysis system;
3. Develop and refine data analysis methodologies and frameworks, extract recurring data needs of departments, and work with relevant teams to develop fixed reports and data products;
4. Build user segmentation models and churn prediction algorithms, and enhance user engagement and loyalty through refined operations.

Job Requirements:

1. Full-time bachelor's degree or above, preferably in mathematics, statistics, econometrics, or computer science;
2. Strong data sensitivity and ability to solve business problems through data analysis;
3. Proficient in common data analysis tools: SQL, Tableau, Excel, and capable of using Python/R/SPSS for analysis and modeling;
4. Understanding of A/B test principles and solid knowledge of statistics;
5. Good teamwork, communication skills, and a strong sense of responsibility.
6. Strong reporting and communication skills in Chinese.

Job Responsibilities

1. Data Management and Analysis: Collect, sanitize, monitor, and analyze data from bus and rail AFC devices, identifying trends and detecting anomalies.

2. Data Interpretation and Reporting: Apply statistical techniques to analyze data, provide ongoing reports, and visualize insights to inform business decisions.

3. Complex Data Analysis: Identify, analyze, and interpret trends and patterns in complex data sets to inform predictive maintenance and system optimization.

4. Data Visualization and Communication: Present findings in a clear and concise manner, translating complex data insights into actionable recommendations.

5. Collaboration and Prioritization: Work with management to prioritize business needs, develop strategies for process improvement, and identify opportunities for optimization.

6. Process Improvement: Continuously seek out new opportunities for process improvement, leveraging data-driven insights to drive business outcomes.

Technical Requirements:

1. Data Modeling and Analysis: Expertise in data models, data mining, clustering, and segmentation techniques.

2. Technical Skills:

- Proficiency in reporting packages (e.g., Cognos) and databases (e.g., SQL).

- Programming skills in Python and experience with ETL frameworks.

- Familiarity with Python libraries (Pandas, NumPy, Scikit-learn, Python Dash, StreamLit).

- Good understanding of cloud concepts and cloud deployments

- Familiarity with automation tools (e.g. power automate, N8N etc.)

- Frontend Development: Creating the client-side of applications, focusing on layout, design, and user experience.

3. Data Visualization: Expertise in creating dashboards in Tableau and PowerBI, with hands-on experience in Tableau Server (publishing workbooks, administration settings).

4. Additional Skills:

- Knowledge of Java is a plus

- Concepts and appliation of LLM & GenAI

Experience and Education:

1. Experience: 2-3 years of relevant experience as a Full Stack Developer, Data Analyst or Business Data Analyst. Fresh graduates with relevant expertise and interest will also be considered.

2. Education: Degree in Computer Science, Electrical/Electronic Engineering, Information Management, Statistics, or a related field.

Responsibilities:

• Responsible for supporting analysis requirements for Global Payments, such as ad-hoc analysis report, dashboards building, data tracking design, etc;
• Use data-driven techniques to find weaknesses in payment products and implement improvements proactively;
• Build data products to provide our customers with data insights and best practices in the Payments domain;
• Cooperate with Products and Operation teams to define system requirements, build data products, improve and roll-out product features to support business.

Qualifications

• Bachelor degree or above in Computer Science, Statistics, Mathematics or other related majors;
• Proficient in SQL, familiar with C +/Java/Golang;
• Proficient in big data platforms such as Hive/ Spark;
• Excellent data analysis capabilities;
• Experience in supporting and optimising business needs with data analysis
• At least 2 years of experiences and above;
• Background in internet companies or payments is plus;
• Deep interest in Data Analysis, Data Mining is plus.