123 Investment Strategies jobs in Vietnam
Quantitative Analyst, Investment Strategies
Posted 8 days ago
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Quantitative Analyst - Investment Strategies
Posted 8 days ago
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Quantitative Analyst, Investment Strategies
Posted 8 days ago
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Senior Quantitative Analyst - Investment Strategies
Posted today
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Job Description
Responsibilities:
- Design, develop, and implement quantitative models for asset allocation, risk management, and trading strategies.
- Conduct rigorous backtesting and performance analysis of quantitative strategies using historical market data.
- Collaborate with portfolio managers to translate investment ideas into executable quantitative models.
- Develop and maintain high-quality code in languages such as Python, R, C++, or MATLAB for data analysis and model implementation.
- Analyze large datasets to identify market patterns, trends, and investment opportunities.
- Assess and manage various financial risks associated with investment portfolios.
- Contribute to the research and development of new financial products and methodologies.
- Prepare detailed reports and presentations on quantitative research findings and strategy performance for senior management and clients.
- Stay current with academic research and industry developments in quantitative finance.
- Ensure compliance with regulatory requirements and internal policies.
- Mentor junior analysts and contribute to the team's knowledge sharing and development.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Statistics, Mathematics, Physics, Computer Science, or Economics.
- Minimum of 5 years of relevant experience in quantitative analysis, portfolio management, or financial modeling within the investment banking or asset management industry.
- Strong programming skills in Python, R, C++, or MATLAB, with experience in data manipulation and statistical analysis libraries.
- In-depth knowledge of financial markets, investment instruments, and trading strategies.
- Proficiency in statistical modeling, time series analysis, econometrics, and machine learning techniques.
- Experience with large-scale data analysis and database management (SQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex quantitative concepts clearly.
- Ability to work independently and collaboratively in a fast-paced, results-oriented environment.
- Experience with risk management frameworks and tools is a plus.
- Understanding of regulatory landscapes in financial markets.
Senior Quantitative Analyst - Investment Strategies
Posted 8 days ago
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Job Description
Responsibilities:
- Design, develop, and backtest complex quantitative models for trading, risk management, and portfolio optimization.
- Analyze large datasets to identify market patterns, predict price movements, and uncover investment opportunities.
- Implement trading algorithms and strategies in a production environment using high-frequency trading platforms.
- Collaborate with portfolio managers and traders to translate research ideas into actionable investment strategies.
- Monitor the performance of trading strategies and models, making adjustments as necessary to optimize returns and manage risk.
- Conduct rigorous statistical analysis and hypothesis testing to validate model assumptions and performance.
- Stay current with academic research and industry developments in quantitative finance.
- Work with technology teams to ensure the efficient and reliable execution of trading systems.
- Communicate complex quantitative concepts and results clearly to both technical and non-technical audiences.
- Contribute to the development of risk management frameworks and models.
- Ensure compliance with regulatory requirements and internal policies.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- 5+ years of experience in quantitative analysis, algorithmic trading, or related roles within the financial industry.
- Proficiency in programming languages such as Python (NumPy, Pandas, SciPy), C++, or R.
- Strong knowledge of statistical modeling, time series analysis, machine learning, and econometrics.
- Deep understanding of financial markets, derivatives, and portfolio theory.
- Experience with high-frequency trading (HFT) infrastructure and strategies is a significant advantage.
- Excellent analytical and problem-solving skills with a meticulous attention to detail.
- Ability to work effectively under pressure in a fast-paced trading environment.
- Strong communication and presentation skills.
- Experience with large-scale data processing and database technologies.
Lead Quantitative Analyst - Investment Strategies
Posted 8 days ago
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Job Description
Key responsibilities will include:
- Developing, backtesting, and implementing complex quantitative models for asset allocation, risk management, and portfolio optimization.
- Conducting in-depth research into market behavior, economic indicators, and financial instruments to identify new investment opportunities.
- Analyzing large datasets to derive actionable insights and inform the design of alpha-generating strategies.
- Collaborating with portfolio managers, traders, and risk officers to refine and deploy quantitative strategies.
- Building and maintaining robust data infrastructure and analytical tools to support quantitative research and trading.
- Monitoring the performance of existing strategies, identifying areas for improvement, and adapting to changing market conditions.
- Staying abreast of the latest advancements in quantitative finance, machine learning, and statistical modeling techniques.
- Communicating complex quantitative concepts and research findings clearly and concisely to both technical and non-technical audiences.
- Mentoring junior quantitative analysts and contributing to the intellectual capital of the quantitative research team.
- Ensuring compliance with all regulatory requirements and internal policies.
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, Computer Science, or Physics, coupled with a strong academic record. A minimum of 7 years of relevant experience in quantitative analysis, financial modeling, or algorithmic trading within the investment management industry is required. Exceptional programming skills in languages like Python, R, C++, or similar, along with proficiency in statistical software and database management (SQL), are essential. Deep understanding of financial markets, derivatives, econometrics, and machine learning techniques is mandatory. Strong analytical, problem-solving, and critical-thinking skills are paramount. Excellent communication, presentation, and interpersonal skills are necessary for collaborating with diverse teams and stakeholders. The ability to work independently, manage multiple research projects concurrently, and thrive in a fast-paced, remote work environment is crucial. This is an exceptional opportunity to shape the future of investment strategies from anywhere, influencing global markets and contributing to client success in regions such as Nha Trang, Khanh Hoa, VN .
Senior Quantitative Analyst - Investment Strategies
Posted 8 days ago
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Job Description
Key Responsibilities:
- Develop, test, and deploy quantitative models for pricing, risk management, and algorithmic trading.
- Conduct in-depth statistical analysis of financial markets and data.
- Design and implement machine learning algorithms for predictive modeling and signal generation.
- Collaborate with portfolio managers and traders to translate research ideas into implementable strategies.
- Perform rigorous backtesting and validation of trading strategies.
- Optimize model performance and efficiency.
- Monitor market conditions and model performance, making necessary adjustments.
- Contribute to the development of new research areas and analytical methodologies.
- Work with large datasets, ensuring data quality and integrity.
- Maintain clear and concise documentation of models, methodologies, and results.
- Communicate complex findings and recommendations to technical and non-technical audiences.
- Stay abreast of the latest academic research and industry advancements in quantitative finance.
- Collaborate effectively in a virtual team environment, sharing knowledge and insights.
- Implement and maintain robust risk management frameworks for quantitative strategies.
- Develop tools and infrastructure to support quantitative research and trading activities.
- Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative analysis, portfolio management, or algorithmic trading.
- Strong programming skills in languages such as Python, C++, or R, with experience in relevant libraries (e.g., NumPy, SciPy, Pandas, scikit-learn).
- Deep understanding of statistical modeling, time series analysis, and econometrics.
- Proven experience with machine learning techniques and their application in finance.
- Experience with financial data providers (e.g., Bloomberg, Refinitiv) and databases.
- Knowledge of derivatives pricing and risk management is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills for effective remote collaboration.
- Ability to work independently, manage complex projects, and deliver results under pressure.
- Familiarity with high-frequency trading environments is a plus.
- Experience with distributed computing frameworks (e.g., Spark) is beneficial.
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Senior Quantitative Analyst - Investment Strategies
Posted 8 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, implement, and refine quantitative models for investment strategies.
- Conduct rigorous back-testing and performance analysis of trading algorithms.
- Analyze large financial datasets to identify market trends and investment opportunities.
- Build predictive models using statistical and machine learning techniques.
- Collaborate with portfolio managers to integrate quantitative insights into investment decisions.
- Develop and implement risk management frameworks for trading strategies.
- Automate trading processes and data analysis workflows.
- Research and evaluate new data sources and quantitative methodologies.
- Prepare detailed reports and presentations on research findings and strategy performance.
- Stay current with advancements in quantitative finance and relevant technologies.
- Master's or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, or Computer Science.
- 5+ years of experience in quantitative analysis, portfolio management, or asset management.
- Strong expertise in statistical modeling, econometrics, and time-series analysis.
- Proficiency in programming languages such as Python, R, or C++.
- Experience with financial databases (e.g., Bloomberg, Refinitiv) and data analysis tools.
- Deep understanding of financial markets, derivatives, and investment strategies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and manage projects effectively in a remote setting.
Senior Quantitative Analyst - Investment Strategies
Posted 8 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, and validate complex quantitative models for trading strategies, risk management, and portfolio optimization.
- Conduct thorough data analysis and back-testing of investment strategies using historical market data.
- Implement and deploy quantitative models into production trading systems.
- Collaborate closely with portfolio managers and traders to understand their needs and provide data-driven insights.
- Monitor the performance of trading strategies and identify areas for improvement.
- Research and explore new quantitative techniques, data sources, and technologies.
- Communicate complex quantitative concepts and results effectively to both technical and non-technical audiences.
- Ensure compliance with regulatory requirements and internal risk management policies.
- Contribute to the continuous improvement of the team's analytical and technological infrastructure.
- Maintain clear and concise documentation for all models and methodologies.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Statistics, Mathematics, Physics, or Computer Science.
- Minimum of 5 years of experience in quantitative finance, asset management, or a related quantitative role.
- Strong programming skills in languages such as Python, C++, or R, with experience in relevant libraries (e.g., NumPy, SciPy, Pandas).
- Proficiency in statistical modeling, time series analysis, econometrics, and machine learning techniques.
- In-depth knowledge of financial markets, instruments, and trading strategies.
- Experience with large datasets and database technologies (SQL).
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong written and verbal communication skills, with the ability to present complex findings clearly.
- Proven ability to work independently and collaboratively in a fully remote setting.
- Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
Senior Quantitative Analyst - Investment Strategies
Posted 8 days ago
Job Viewed
Job Description
Key Responsibilities:
- Develop and backtest quantitative trading strategies across various asset classes.
- Build and maintain sophisticated financial models for risk assessment, pricing, and valuation.
- Analyze large datasets to identify market patterns, trends, and investment opportunities.
- Implement quantitative models using programming languages such as Python, R, C++, or MATLAB.
- Collaborate with portfolio managers and traders to define strategy requirements and integrate models into trading systems.
- Conduct thorough research on new quantitative techniques and financial instruments.
- Monitor model performance and conduct regular reviews, making necessary adjustments.
- Ensure the accuracy and robustness of all quantitative models and methodologies.
- Contribute to the development of the firm's quantitative research infrastructure.
- Stay informed about market developments, regulatory changes, and academic research in quantitative finance.
- Document methodologies, models, and results comprehensively.
Qualifications:
- Master's or PhD in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 5-7 years of experience in quantitative analysis, algorithmic trading, or portfolio management within the financial industry.
- Advanced proficiency in programming languages commonly used in quantitative finance (e.g., Python, R, C++, MATLAB).
- Strong understanding of financial markets, derivatives, fixed income, and equity products.
- Expertise in statistical modeling, time series analysis, machine learning, and econometrics.
- Experience with data analysis and visualization tools.
- Excellent problem-solving and analytical skills, with a keen eye for detail.
- Strong communication and presentation skills, able to explain complex quantitative concepts to diverse audiences.
- Ability to work independently and effectively in a fully remote environment.
- Experience with large-scale data processing and distributed computing frameworks is a plus.
- Knowledge of backtesting platforms and risk management systems.