17 Healthcare Data jobs in Vietnam

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

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

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

• Master's degree or Ph.D. in Geoscience, Geology, Geophysics, or a related field with a strong emphasis on data analysis.
• Minimum of 5 years of professional experience in geological data analysis, interpretation, and modeling.
• Proficiency in geological software packages (e.g., Petrel, Leapfrog, ArcGIS) and data analysis tools.
• Strong programming skills in Python or R for data manipulation and analysis.
• Excellent understanding of geological principles and exploration techniques.
• Proven ability to work independently and manage projects remotely.
• Exceptional analytical, problem-solving, and critical-thinking skills.
• Strong written and verbal communication skills for effective remote collaboration.
• Demonstrated experience in report writing and presentation of technical data.

• Assist in data collection, cleaning, and pre-processing from diverse sources.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Support the development and implementation of data models and algorithms.
• Create data visualizations and dashboards to communicate findings.
• Contribute to the preparation of analytical reports and presentations.
• Collaborate with senior analysts and data scientists on ongoing projects.
• Learn and apply statistical techniques and machine learning concepts.
• Assist in maintaining data quality and integrity.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.
• Strong analytical and quantitative skills with a passion for data.
• Proficiency in at least one programming language (e.g., Python, R).
• Basic knowledge of SQL for database querying.
• Familiarity with data visualization tools is a plus.
• Excellent problem-solving abilities and attention to detail.
• Strong written and verbal communication skills in English.
• Ability to work independently and effectively in a remote team environment.
• Eagerness to learn and adapt to new technologies and methodologies.

• Assist in the collection and aggregation of data from various sources.
• Perform data cleaning and preprocessing to ensure data quality and accuracy.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Support the development and implementation of statistical models and algorithms.
• Create visualizations and reports to communicate findings to the team.
• Collaborate with senior analysts on data-related projects and initiatives.
• Learn and apply various data analysis tools and programming languages (e.g., Python, R, SQL).
• Participate in team meetings and contribute to problem-solving discussions.
• Adhere to data privacy and security protocols.
• Engage in continuous learning and professional development within the data analytics field.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Basic understanding of statistical concepts and data analysis methodologies.
• Familiarity with programming languages such as Python or R is a plus.
• Proficiency in Microsoft Excel for data manipulation and analysis.
• Eagerness to learn and adapt to new technologies and tools.
• Good communication and teamwork skills.
• Proactive attitude and attention to detail.
• Ability to work effectively within a team environment.

• Analyze geological and engineering data (logs, core data, production data, seismic data) to characterize reservoirs.
• Develop and maintain dynamic reservoir simulation models using industry-standard software (e.g., Eclipse, Petrel RE).
• Perform reservoir performance analysis, including production forecasting, decline curve analysis, and material balance calculations.
• Identify and evaluate opportunities for enhanced oil recovery (EOR) and optimize injection strategies.
• Conduct uncertainty analysis and probabilistic assessment of reserves and resources.
• Collaborate with geologists, geophysicists, and production engineers to develop integrated field development plans.
• Monitor reservoir performance and recommend adjustments to production strategies to optimize recovery.
• Prepare technical reports, presentations, and economic evaluations for management and stakeholders.
• Stay abreast of new technologies and methodologies in reservoir engineering and data analytics.
• Mentor junior reservoir engineers and share knowledge across the team.
• Ensure data integrity and best practices in reservoir management.

• Master's or Ph.D. degree in Petroleum Engineering, Reservoir Engineering, or a related discipline.
• A minimum of 8 years of hands-on experience in reservoir engineering, with a strong focus on data analysis and numerical simulation.
• Proficiency in reservoir simulation software (e.g., Schlumberger's ECLIPSE, Halliburton's Landmark tools, CMG Suite).
• Expertise in data analysis techniques, statistical methods, and data visualization tools.
• Strong understanding of reservoir characterization, fluid flow mechanisms, and petrophysics.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective communication and presentation skills, with the ability to explain complex technical concepts.
• Proven ability to work independently and collaboratively in a remote team environment.
• Familiarity with unconventional reservoir analysis is a plus.
• Must maintain a reliable high-speed internet connection and a professional remote work setup.