5 Information Services jobs in Vietnam
Senior Networking/system Engineer (IT Support)
Posted today
Job Viewed
Job Description
Kumon Việt Nam
- Ứng Tuyển
Networking System Admin IT Support
- Đăng nhập để xem mức lương
- 18A/35 and 18A/37 Nguyen Thi Minh Khai Street, Da Kao Ward, District 1, Ho Chi Minh- Xem bản đồ- Tại văn phòng- 4 giờ trước
**3 Lý Do Để Gia Nhập Công Ty**:
- Opportunity onsite in Singapore & South East Asia
- Good benefit
- High salary Up to $1500
**Mô Tả Công Việc**:
**Network System**
- Plan, organize, control, and evaluate IT and electronic data operations.
- Set up and perform routine system maintenance including backups, disaster recovery, system upgrade, patches and performance monitoring.
- Manage security systems, network infrastructures: IT Policy, firewall, remote access system, internet access (LAN, WAN, Internet.), monitor network bandwidth and all network devices performance
- Managing and troubleshooting MS365 system (Teams, SharePoint, Exchange, OneDrive, Azure.)
- Planning, setting up new center, relocated center
**Maintenance**
- Maintain server hardware, office devices
- Troubleshooting telephone system (analog), well understanding about Voice IP to be plus
- Manage the server room, all IT asset (network devices, HDD backup, computers other IT devices)
- Knowledge and experience of Database Software (Oracle, Microsoft SQL)
- Implementation & troubleshooting the issue from Kumon software
**Paperwork**
- Manage & set yearly IT budget
- Follow the payment processing when have the requirement
**Yêu Cầu Công Việc**:
**Knowledge**:
- Bachelor's degree or higher in Information Technology Engineering or a related field.
- 5-7 years of experience in a similar position or related field
- Proficiency in MCSA, CCNA
**Skills**:
- Fluence in English communication skill.
- Able to work independently, setting priorities and efficiently meeting explicit deadlines
- Good problem analysis and problem-solving skills.
**Tại Sao Bạn Sẽ Yêu Thích Làm Việc Tại Đây**:
- 15 days of annual leave; Get 1 day more extra annual leave after 1st 5 year, get 1 day more/year from the next year.
- 5 days of Long-term service leave & reward
- Kumon Tuition Fee Exemption System
- Personal Insurance
- Per diem for onsite/ traveling
- Medical claim
- Pay for over time.
- Annual health examination
- Team building, year-end party, gift for new-born baby,etc.
- 13th month salary & Bonus
Data Scientist - Portfolio Management
Posted 6 days ago
Job Viewed
Job Description
Responsibilities
The ideal candidate will have a passion for utilizing data and analytics to optimize portfolio performance. The successful candidate will be responsible for analyzing large datasets, developing predictive models, and generating actionable insights for credit card portfolio management.
- Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability. li>Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
- Conducting ad-hoc analysis and data mining to support portfolio optimization and strategy development.
- Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
- Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
- Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
- Maintaining up-to-date knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
- Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.
- Mentoring and coaching junior analysts and data scientists on the team.
- Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
- Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
- Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
- Utilize statistical and machine learning techniques to identify patterns and trends in financial data
- Develop and implement data-driven investment strategies that optimize portfolio performance
Data Scientist - Portfolio Management
Posted 6 days ago
Job Viewed
Job Description
Responsibilities
The ideal candidate will have a passion for utilizing data and analytics to optimize portfolio performance. The successful candidate will be responsible for analyzing large datasets, developing predictive models, and generating actionable insights for credit card portfolio management.
- Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability.
- Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
- Conducting ad-hoc analysis and data mining to support portfolio optimization and strategy development.
- Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
- Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
- Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
- Maintaining up-to-date knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
- Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.
- Mentoring and coaching junior analysts and data scientists on the team.
- Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
- Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
- Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
- Utilize statistical and machine learning techniques to identify patterns and trends in financial data
- Develop and implement data-driven investment strategies that optimize portfolio performance
Data Scientist - Portfolio Management
Posted 18 days ago
Job Viewed
Job Description
Responsibilities
The ideal candidate will have a passion for utilizing data and analytics to optimize portfolio performance. The successful candidate will be responsible for analyzing large datasets, developing predictive models, and generating actionable insights for credit card portfolio management.
- Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability. li>Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
- Conducting ad-hoc analysis and data mining to support portfolio optimization and strategy development.
- Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
- Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
- Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
- Maintaining up-to-date knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
- Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.
- Mentoring and coaching junior analysts and data scientists on the team.
- Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
- Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
- Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
- Utilize statistical and machine learning techniques to identify patterns and trends in financial data
- Develop and implement data-driven investment strategies that optimize portfolio performance
Data Scientist - Portfolio Management
Posted 18 days ago
Job Viewed
Job Description
Responsibilities
The ideal candidate will have a passion for utilizing data and analytics to optimize portfolio performance. The successful candidate will be responsible for analyzing large datasets, developing predictive models, and generating actionable insights for credit card portfolio management.
- Developing and implementing credit risk models and analytical tools to assess portfolio performance, credit risk, and profitability. li>Analyzing and interpreting data to identify trends, patterns, and insights that drive portfolio management decisions.
- Conducting ad-hoc analysis and data mining to support portfolio optimization and strategy development.
- Collaborating with business stakeholders to understand their needs and requirements, and to develop and implement solutions that meet their needs.
- Creating and maintaining reports and dashboards that provide insights into portfolio performance and key performance indicators (KPIs).
- Designing and conducting A/B tests to evaluate the impact of new portfolio strategies and tactics.
- Maintaining up-to-date knowledge of industry trends, best practices, and regulatory requirements related to credit card portfolio management.
- Communicating complex analytical findings and recommendations to non-technical stakeholders, including senior management.
- Mentoring and coaching junior analysts and data scientists on the team.
- Partnering with data engineers and other technical teams to ensure data quality, availability, and scalability.
- Conducting competitive research to stay informed of market trends, customer preferences, and emerging technologies that may impact the credit card portfolio.
- Perform highly complex activities related to financial products, business analysis, and build dashboards for portfolio monitoring.
- Utilize statistical and machine learning techniques to identify patterns and trends in financial data
- Develop and implement data-driven investment strategies that optimize portfolio performance
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