31 Data Professional 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
Graduate Trainee - Data Science
Posted today
Job Viewed
Job Description
Graduate Trainee - Data Science
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and preparing data for analysis.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Develop and implement machine learning models under guidance.
- Evaluate model performance and provide insights for improvement.
- Create data visualizations to communicate findings effectively.
- Collaborate with senior data scientists on various projects.
- Learn and apply data science methodologies and tools.
- Document analysis processes and model development steps.
- Contribute to team discussions and knowledge sharing.
- Support data-driven decision-making across the organization.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in Python or R programming languages.
- Familiarity with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Excellent analytical and problem-solving skills.
- Good communication and presentation skills.
- Ability to work independently and manage tasks effectively in a remote setting.
- A strong desire to learn and grow in the field of data science.
Remote Junior Data Science Apprentice
Posted today
Job Viewed
Job Description
Responsibilities:
- Assist senior data scientists in data cleaning, preprocessing, and feature engineering.
- Develop data visualizations and dashboards to communicate insights effectively.
- Write and execute code for data analysis and statistical modeling using Python or R.
- Support the development and implementation of machine learning models.
- Collaborate with team members on data-driven projects and problem-solving.
- Learn and apply best practices in data science methodologies and tools.
- Document code and project findings clearly and concisely.
- Participate in regular training sessions and team meetings.
- Basic understanding of statistics, mathematics, and programming concepts.
- Familiarity with Python or R programming languages is a plus.
- Eagerness to learn data science principles and machine learning techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent demonstrable experience.
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Remote Data Science Graduate Intern
Posted 1 day ago
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Job Description
Remote Graduate Trainee - Data Science
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Assist in data cleaning, preprocessing, and feature engineering.
- Support the development and implementation of machine learning models.
- Perform exploratory data analysis and generate visualizations.
- Collaborate with senior data scientists on various analytical projects.
- Contribute to data pipeline development and maintenance.
- Research and evaluate new data science techniques and tools.
- Assist in the preparation of reports and presentations on analytical findings.
- Participate in team meetings and knowledge-sharing sessions.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Strong foundation in statistical analysis and machine learning concepts.
- Proficiency in Python or R programming.
- Experience with data analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
- Familiarity with SQL for database querying.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities, suitable for a remote environment.
- Eagerness to learn and adapt in a fast-paced field.
Remote Graduate Trainee - Data Science
Posted 1 day ago
Job Viewed
Job Description
Key responsibilities include:
- Assisting in data collection, cleaning, and preprocessing from various sources.
- Performing exploratory data analysis to identify patterns and trends.
- Developing and implementing statistical models and machine learning algorithms.
- Collaborating with team members to understand data requirements and project goals.
- Visualizing data and results using tools like Tableau, Power BI, or Matplotlib.
- Documenting code, methodologies, and findings.
- Participating in team meetings and contributing to project discussions.
- Learning and applying new data science techniques and tools.
- Supporting the development of data-driven solutions and reports.
- Assisting in the validation and testing of models.