19 Investment Funds jobs in Vietnam
Data Scientist - Portfolio Management
Posted 7 days ago
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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
Remote Investment Strategist, Portfolio Management
Posted today
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Job Description
Lead Investment Analyst - Portfolio Management
Posted today
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Job Description
Senior Investment Analyst - Portfolio Management
Posted today
Job Viewed
Job Description
Responsibilities:
- Conduct rigorous fundamental and quantitative analysis of equities, fixed income, and alternative investments.
- Develop and maintain sophisticated financial models for valuation, forecasting, and scenario analysis.
- Monitor global economic trends, market developments, and geopolitical events impacting investment portfolios.
- Provide data-driven investment recommendations and contribute to portfolio strategy discussions.
- Analyze portfolio performance, identify drivers of return and risk, and prepare comprehensive reports for stakeholders.
- Conduct due diligence on potential investments and asset managers.
- Assist in the construction and rebalancing of investment portfolios according to client objectives and risk tolerances.
- Stay abreast of regulatory changes and industry best practices in asset management.
- Collaborate with relationship managers to understand client needs and tailor investment solutions.
- Utilize advanced analytical tools and databases (e.g., Bloomberg, FactSet) for research and reporting.
Qualifications:
- Bachelor's degree in Finance, Economics, Mathematics, or a related quantitative field.
- A minimum of 5 years of experience in investment analysis, portfolio management, or a similar financial role.
- Strong understanding of financial markets, investment products, and portfolio theory.
- Advanced proficiency in financial modeling, data analysis, and valuation techniques.
- Experience with portfolio management software and financial data terminals (e.g., Bloomberg Terminal).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present complex information clearly.
- CFA designation or progress towards CFA is highly preferred.
- Ability to work independently, manage multiple projects, and meet tight deadlines in a remote setting.
- High degree of integrity and attention to detail.
This remote opportunity offers a challenging and rewarding career path for a talented investment professional seeking to make a significant impact.
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Senior Financial Analyst - Investment Portfolio Management
Posted 1 day ago
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Senior Real Estate Investment Analyst, Remote Portfolio Management
Posted 1 day ago
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Job Description
Location: Can Tho, Can Tho, VN (Fully Remote)
Senior Real Estate Investment Analyst - Remote Portfolio Management
Posted 1 day ago
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Job Description
Key Responsibilities:
- Conduct in-depth market research and analysis for real estate opportunities.
- Perform financial modeling, valuation, and feasibility studies for potential investments.
- Analyze property data, including income statements, balance sheets, and cash flows.
- Prepare detailed investment memos and presentations for acquisition approvals.
- Monitor and report on the performance of existing real estate investments.
- Identify and assess risks associated with real estate investments.
- Develop strategic recommendations for portfolio optimization.
- Maintain relationships with brokers, developers, and other industry contacts.
- Assist in the due diligence process for property acquisitions.
- Stay abreast of market trends, economic conditions, and regulatory changes.
- Bachelor's or Master's degree in Finance, Economics, Real Estate, or a related field.
- Minimum 5 years of experience in real estate investment analysis, acquisitions, or asset management.
- Strong financial modeling skills (Excel, Argus Enterprise).
- Proficiency with real estate data platforms (e.g., CoStar).
- Excellent analytical, quantitative, and problem-solving abilities.
- Strong written and verbal communication skills.
- Ability to work independently and manage multiple projects in a remote setting.
- Understanding of real estate market dynamics and investment principles.
- Experience in presenting investment recommendations to stakeholders.