5 Data Stewardship jobs in Vietnam
Data Scientist - Portfolio Management
Posted 7 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
Data Governance Steward
Posted today
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English (US)
English (UK)
DATA GOVERNANCE STEWARD
Ho Chi Minh City, Vietnam
- req584
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We are seeking a talented and motivated individual to join our rapidly growing team.
From Denmark to China, Vietnam to Mexico, we employ over 800 talented and dedicated people. Established in 1900, LEMAN is a forward-thinking, value-driven, and people-centric organization. We endeavor to lead a culture of quality and collaboration, where everyone feels empowered to be their best.
Every day, we help companies and people all over the world by delivering high-quality logistics and transport solutions. We always strive to uphold our values in our approach to customers, colleagues, our surroundings, and the environment.
We provide supply chain and transport solutions, and we offer our services in 150+ countries through our own offices and a network of close partners.
Our approach is personalized customer care. We don't create standard products but focus on individual needs and solutions.
With more than 800 dedicated LEMAN colleagues worldwide, we are large enough to deliver high-quality global supply chain solutions while remaining small enough to care about each and every one of our customers.
Responsibilities & what we are looking for
Job Summary
We are seeking a highly motivated and results-oriented Data Governance Steward to join our team. You will be responsible for ensuring the accuracy, completeness, consistency, and reliability of customer data in our "Customer Base" software, according to our data governance policies and procedures. This role is critical to maintaining the high quality of our data and mitigating risks.
**Responsibilities**:
- Create and maintain new customer records in "Customer Base" according to established data governance procedures, based on requests from the business.
- Identify and eliminate duplicate customer records within "Customer Base".
- Perform data cleaning and maintenance tasks to ensure data quality meets pre-defined standards set by the Data Governance Manager. This may include tasks like verifying data accuracy, ensuring customer records are active and non-duplicate, and following established data hierarchies.
- Collaborate with the Data Governance Manager, Sales, and operational staff in the Road and Air & Sea divisions on data governance issues.
- Assist with data analysis to identify data quality issues.
**Qualifications**:
- 1-2 years of experience with data entry, data cleaning, and data management.
- Understanding of data governance principles and the importance of data quality.
- Excellent attention to detail and accuracy.
- Proficiency in database software (like "Customer Base") and Excel for data analysis.
- Excellent communication and collaboration skills.
- English on proficient written level
Who are We and Why We Need You
At LEMAN, we proudly aim to be a global leader in transport & logistics solutions, driven by a commitment to people, excellence, and personalized customer care.
Our Group Legal, Compliance & Insurance team plays a significant role in this by supporting the business with professional claims and insurance solutions, taking both legal and commercial perspectives into consideration to protect LEMAN Group and our customers’ interests. Recently, one of our highly valued colleague has chosen to pursue a new opportunity, why we are looking to bring in a new team member.
You will get
good colleagues and an informal tone as well as a positive and dynamic work environment.
an attractive overall salary package.
an exciting and open workplace characterized by freedom with responsibility and space to unleash your full potential.
What We Offer
**Flexibility**: We understand that life is unpredictable, which is why we offer flexible working arrangements, where possible, to help you achieve a healthy work-life balance. You'll have the freedom to structure your workday in a way that suits you best, whether that means working from home, adjusting your hours, or taking time off when you need it.
**Sabbatical**: Need a break from the daily grind? We offer sabbatical opportunities to take extended time off to recharge, explore your passions, and come back to work feeling refreshed and inspired.
**Investment in Professional Development**: We're committed to helping our people grow and reach their full potential.
**Global Travel Opportunities**: We're a global organization with offices around the world, which means that there are plenty of opportunities to travel and experience new cultures.
**Social and Company Events**: We believe that work should be enjoyable, which is why we organize regular social and company events to bring our people together.
Do you want to hear more of what it is like to work at LEMAN? Take a look for yourself here
Our Values
We're driven by our core values of Quality, Commitment and Respect. Join our dynamic team where we encourage authenticity, foster meaningful connections,
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