18 Medical Data 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 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.
- 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 19 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 19 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
Graduate Trainee - Data Analysis
Posted today
Job Viewed
Job Description
- Assist in data collection, extraction, and cleaning from various sources.
- Perform exploratory data analysis to identify patterns, trends, and anomalies.
- Develop and maintain reports and interactive dashboards using business intelligence tools.
- Support senior analysts in analyzing complex datasets and generating insights.
- Assist in the development of data models and analytical solutions.
- Learn and apply statistical methods for data analysis.
- Ensure data accuracy and integrity throughout the analysis process.
- Collaborate with team members to understand data requirements and deliver findings.
- Participate in training sessions and workshops to enhance technical and analytical skills.
- Contribute to documentation of data processes and analytical methodologies.
- Support the team in presenting data findings to stakeholders.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel is essential.
- Familiarity with data analysis tools and programming languages such as SQL, Python (with libraries like Pandas, NumPy), or R is a significant advantage.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent attention to detail and commitment to data accuracy.
- Strong communication and interpersonal skills.
- Ability to work both independently and as part of a team.
- Eagerness to learn and adapt to new technologies and methodologies.
- A genuine interest in data analysis and business intelligence.
Apprenticeship in Data Analysis
Posted today
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Job Description
Remote Geoscientist - Data Analysis
Posted today
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Job Description
Qualifications:
- 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.
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Graduate Trainee - Data Analysis
Posted today
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Job Description
Graduate Trainee - Data Analysis
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- 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.
Qualifications:
- 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.
Graduate Trainee - Data Analysis
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- 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.
Location: Thai Nguyen, Thai Nguyen, VN