139 Investment Analysis jobs in Vietnam
Quantitative Analyst - Financial Modeling
54000 Hoa Sơn
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client, a leading institution in the banking and finance sector, is seeking a highly analytical and results-driven Quantitative Analyst to join their sophisticated financial modeling team. This role is instrumental in developing, implementing, and validating complex mathematical models used for risk management, trading strategies, and financial product valuation. The ideal candidate will possess a strong academic background in a quantitative discipline, exceptional programming skills, and a deep understanding of financial markets. You will collaborate with traders, portfolio managers, and risk officers to provide data-driven insights and support strategic decision-making. Responsibilities include:
- Developing and implementing quantitative models for pricing derivatives, managing risk, and optimizing portfolios.
- Conducting rigorous backtesting and validation of financial models to ensure accuracy and robustness.
- Performing statistical analysis and data mining on large financial datasets.
- Contributing to the development and enhancement of trading algorithms and strategies.
- Collaborating with IT teams to deploy models into production environments.
- Communicating complex analytical findings to non-technical stakeholders, including senior management.
- Researching and evaluating new quantitative techniques and technologies.
- Ensuring compliance with regulatory requirements and internal risk policies.
- Monitoring model performance and identifying potential issues or areas for improvement.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Economics, Computer Science, or a related quantitative field.
- Minimum of 4 years of experience in quantitative finance, risk management, or asset management.
- Strong proficiency in programming languages such as Python, R, C++, or Java.
- Expertise in statistical modeling, econometrics, and machine learning techniques.
- Deep understanding of financial markets, instruments, and derivatives.
- Experience with financial databases (e.g., Bloomberg, Refinitiv) is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present complex information clearly.
- Ability to work effectively in a collaborative, fast-paced team environment.
This advertiser has chosen not to accept applicants from your region.
0
Senior Quantitative Analyst - Financial Modeling
70000 Vung Tau
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their sophisticated analytics team. This role requires a deep understanding of financial markets, advanced statistical modeling techniques, and robust programming skills. The successful candidate will be instrumental in developing and implementing complex financial models that drive strategic decision-making and risk management. While the role is based in Ho Chi Minh City, Ho Chi Minh, VN , a significant portion of the work can be performed remotely, offering a flexible hybrid arrangement.
Key Responsibilities:
Required Qualifications:
Key Responsibilities:
- Develop, test, and deploy sophisticated quantitative models for pricing, risk management, and portfolio optimization.
- Conduct in-depth research into market dynamics and identify new modeling approaches.
- Analyze large datasets to extract meaningful insights and inform model development.
- Collaborate with traders, portfolio managers, and risk officers to understand their needs and provide analytical solutions.
- Implement and maintain model validation frameworks to ensure accuracy and reliability.
- Write high-quality code in languages such as Python, R, or C++ for model implementation and backtesting.
- Prepare clear and concise documentation of models, methodologies, and results for both technical and non-technical audiences.
- Contribute to the development of trading strategies and risk control frameworks.
- Stay abreast of regulatory changes and industry best practices in quantitative finance.
Required Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of relevant experience in quantitative finance, financial modeling, or risk management.
- Strong proficiency in programming languages (Python, R, C++) and database management (SQL).
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Solid understanding of financial instruments, derivatives, and market microstructure.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities.
This advertiser has chosen not to accept applicants from your region.
1
Senior Data Scientist - Financial Modeling
55000 Hoa Sơn
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly skilled Senior Data Scientist specializing in Financial Modeling for a fully remote position. This role will play a critical part in developing sophisticated predictive models and analytical solutions to support strategic decision-making across various business units. You will be instrumental in harnessing large datasets to uncover trends, forecast financial performance, identify risks, and optimize investment strategies. The ideal candidate possesses a strong quantitative background, exceptional programming skills, and a deep understanding of machine learning techniques applied to finance.
Key responsibilities include:
A Master's or PhD degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline is required. A minimum of 5 years of experience in data science or quantitative analysis, with a significant focus on financial modeling and machine learning, is essential. Proficiency in programming languages like Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy), are mandatory. Strong SQL skills and experience with big data technologies (e.g., Spark, Hadoop) are highly desirable. Excellent analytical, problem-solving, and communication skills are critical. This is an outstanding opportunity to leverage your expertise in data science within a dynamic and innovative remote team.
Key responsibilities include:
- Developing, validating, and deploying advanced statistical and machine learning models for financial forecasting, risk assessment, fraud detection, and portfolio optimization.
- Designing and implementing data mining and analysis strategies to extract valuable insights from complex financial datasets.
- Collaborating closely with business stakeholders, product managers, and other data scientists to understand requirements and translate them into analytical solutions.
- Performing exploratory data analysis (EDA) to identify patterns, anomalies, and opportunities.
- Building and maintaining robust data pipelines for model training and evaluation.
- Communicating complex findings and recommendations clearly and effectively to both technical and non-technical audiences through visualizations and reports.
- Staying abreast of the latest advancements in data science, machine learning, and financial modeling techniques.
- Mentoring junior data scientists and contributing to the team's knowledge base.
- Ensuring data quality, model accuracy, and regulatory compliance.
- Contributing to the development of data-driven product features and strategies.
A Master's or PhD degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline is required. A minimum of 5 years of experience in data science or quantitative analysis, with a significant focus on financial modeling and machine learning, is essential. Proficiency in programming languages like Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy), are mandatory. Strong SQL skills and experience with big data technologies (e.g., Spark, Hadoop) are highly desirable. Excellent analytical, problem-solving, and communication skills are critical. This is an outstanding opportunity to leverage your expertise in data science within a dynamic and innovative remote team.
This advertiser has chosen not to accept applicants from your region.
2
Senior Quantitative Analyst - Financial Modeling
50000 Hoa Sơn
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client, a prominent global financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their remote team. This crucial role will focus on developing and implementing sophisticated quantitative models for trading, risk management, and portfolio optimization across various asset classes. You will be instrumental in designing, testing, and validating complex financial models, utilizing advanced statistical and mathematical techniques. The successful candidate will possess a deep understanding of financial markets, derivatives pricing, risk modeling, and econometrics. Responsibilities include collaborating closely with traders, portfolio managers, and risk officers to understand their needs and translate them into robust quantitative solutions. You will also be responsible for developing high-performance code for model implementation, performing rigorous back-testing, and presenting findings to senior management. This remote position offers the opportunity to work on challenging financial problems with a globally distributed team of experts. We are looking for a proactive individual who can drive innovation in quantitative finance, stay ahead of market developments, and contribute significantly to the firm's success. The role requires excellent programming skills (e.g., Python, C++, R), strong mathematical acumen, and the ability to communicate complex quantitative concepts effectively to both technical and non-technical audiences. This is an exceptional opportunity for a talented quant professional to make a substantial impact in a dynamic and fast-paced financial environment, contributing to cutting-edge financial strategies and risk mitigation.
Responsibilities:
Responsibilities:
- Develop, implement, and back-test sophisticated quantitative models for financial markets.
- Design and analyze pricing models for derivatives and other financial instruments.
- Build and refine risk management models, including VaR, stress testing, and scenario analysis.
- Create algorithms for algorithmic trading strategies and portfolio optimization.
- Utilize statistical software and programming languages (e.g., Python, C++, R, MATLAB) for model development and implementation.
- Collaborate with portfolio managers, traders, and risk managers to understand requirements.
- Perform data analysis and statistical modeling on large financial datasets.
- Present complex quantitative findings to stakeholders, including senior management.
- Stay current with academic research and industry trends in quantitative finance.
- Ensure compliance with regulatory requirements and internal policies.
- Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, or a related quantitative field.
- Minimum of 5 years of experience in quantitative analysis, financial modeling, or a related role within the finance industry.
- Strong proficiency in programming languages such as Python, C++, or R.
- In-depth knowledge of financial markets, derivatives, risk management, and econometrics.
- Experience with statistical modeling, machine learning, and data analysis techniques.
- Excellent analytical, problem-solving, and quantitative skills.
- Strong communication and presentation skills, with the ability to explain complex concepts.
This advertiser has chosen not to accept applicants from your region.
3
Senior Quantitative Analyst - Financial Modeling
650000 Nha Trang, Khanh Hoa
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their remote-first team. This role is integral to developing and implementing sophisticated quantitative models for risk management, pricing, and trading strategies. You will leverage advanced statistical techniques, programming skills, and deep financial market knowledge to drive informed decision-making and create innovative financial solutions.
Responsibilities:
Responsibilities:
- Designing, developing, testing, and implementing complex quantitative models for pricing derivatives, valuing financial instruments, and assessing risk.
- Performing statistical analysis of large financial datasets to identify market trends, patterns, and potential opportunities or risks.
- Developing and maintaining robust algorithms for trading strategies and portfolio optimization.
- Collaborating closely with traders, portfolio managers, and risk managers to understand their needs and provide quantitative insights.
- Validating and back-testing model performance, ensuring accuracy and reliability.
- Staying abreast of the latest developments in financial engineering, econometrics, and machine learning.
- Writing high-quality, efficient, and maintainable code in languages such as Python, C++, or R.
- Documenting model methodologies, assumptions, and results clearly and comprehensively.
- Contributing to the enhancement of the firm's quantitative infrastructure and tools.
- Ensuring compliance with regulatory requirements and internal risk policies.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
- 5+ years of relevant experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
- Proven expertise in statistical modeling, time series analysis, and stochastic calculus.
- Strong programming skills in Python, C++, or R, with experience in data manipulation and scientific computing libraries.
- Deep understanding of financial markets, derivatives, and fixed income instruments.
- Experience with machine learning techniques applied to finance is a significant plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex quantitative concepts to non-technical audiences.
- Ability to work independently and as part of a remote team.
- Experience with financial databases (e.g., Bloomberg, Refinitiv) is advantageous.
This advertiser has chosen not to accept applicants from your region.
4
Senior Quantitative Analyst - Financial Modeling
01000 Phu Hai
WhatJobs
Posted 6 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their innovative remote team. This role is central to developing and implementing sophisticated financial models for pricing, risk management, and trading strategies. You will work closely with portfolio managers, traders, and risk officers to provide data-driven insights and quantitative solutions. The ideal candidate possesses a strong academic background in a quantitative discipline, coupled with extensive experience in financial markets and advanced programming skills. As a fully remote employee, you will leverage cutting-edge technology to contribute to critical business decisions from anywhere in the world.
Responsibilities:
Responsibilities:
- Develop, test, and implement quantitative models for pricing complex derivatives, fixed income securities, and other financial instruments.
- Design and build risk management frameworks and tools to assess and monitor market, credit, and operational risks.
- Create algorithms and strategies for algorithmic trading and portfolio optimization.
- Perform rigorous back-testing and validation of models to ensure accuracy and robustness.
- Collaborate with business stakeholders to understand their needs and translate them into quantitative solutions.
- Analyze large datasets to identify market trends, opportunities, and potential risks.
- Contribute to the development of the firm's trading systems and analytical platforms.
- Document model specifications, assumptions, and methodologies clearly and comprehensively.
- Stay updated with the latest research in financial mathematics, econometrics, and computational finance.
- Mentor junior quants and contribute to the team's technical development.
- Master's degree or PhD in Quantitative Finance, Financial Engineering, Mathematics, Physics, Statistics, or a related quantitative field.
- 5+ years of relevant experience in a quantitative role within investment banking, asset management, or hedge funds.
- Expertise in financial modeling, derivative pricing, risk management, and stochastic calculus.
- Advanced programming skills in languages such as Python, C++, R, or MATLAB.
- Strong experience with statistical analysis, econometrics, and machine learning techniques applied to finance.
- Familiarity with financial data providers (e.g., Bloomberg, Refinitiv) and their APIs.
- Excellent analytical and problem-solving skills, with a keen eye for detail.
- Strong communication and presentation skills, able to explain complex quantitative concepts to diverse audiences.
- Demonstrated ability to work independently and proactively in a remote, collaborative environment.
This advertiser has chosen not to accept applicants from your region.
5
Senior Quantitative Analyst - Financial Modeling
100000 An Cu, An Giang
WhatJobs
Posted 6 days ago
Job Viewed
Job Description
Our client, a prominent financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their team. This role is crucial for developing and implementing sophisticated financial models used for risk management, pricing, and trading strategies. You will work on complex mathematical and statistical problems, leveraging advanced programming skills to build robust analytical tools. The ideal candidate possesses a strong academic background in a quantitative discipline (e.g., Mathematics, Statistics, Physics, Financial Engineering) and extensive experience in financial modeling. Responsibilities include designing, testing, and validating models for derivatives pricing, credit risk, market risk, and portfolio optimization. You will collaborate closely with traders, risk managers, and technology teams to ensure models are accurate, efficient, and comply with regulatory requirements. This position requires a deep understanding of financial markets, instruments, and statistical techniques. Excellent programming skills in languages like Python, C++, or R are essential. The ability to translate complex mathematical concepts into practical applications is key. This hybrid role offers the flexibility to work both in the office and remotely, based in Hanoi, Hanoi, VN , providing a dynamic work environment.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and validate quantitative models for pricing, risk management, and trading strategies.
- Analyze large datasets to identify patterns, correlations, and derive insights.
- Build and maintain risk models, including market risk, credit risk, and operational risk.
- Develop algorithms for portfolio optimization and asset allocation.
- Collaborate with traders and portfolio managers to understand their needs and provide analytical support.
- Work closely with technology teams to integrate models into production systems.
- Ensure models are compliant with regulatory requirements and internal policies.
- Conduct research on new methodologies and technologies in quantitative finance.
- Perform back-testing and sensitivity analysis of financial models.
- Document model methodologies, assumptions, and limitations clearly.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- Minimum of 5 years of experience in quantitative analysis, financial modeling, or a similar role.
- Strong expertise in stochastic calculus, time series analysis, machine learning, and statistical modeling.
- Proficiency in programming languages such as Python, C++, or R.
- Experience with financial derivatives, fixed income, equities, or other financial instruments.
- Solid understanding of financial risk management principles.
- Experience with large datasets and data analysis tools.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.
- Ability to work effectively in a team and independently.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Investment analysis Jobs in Vietnam !
6
Senior Quantitative Analyst - Financial Modeling
70000 Vung Tau
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking a highly skilled Senior Quantitative Analyst specializing in Financial Modeling to join their elite, fully remote team. This critical role involves developing, validating, and implementing sophisticated quantitative models for risk management, pricing, and trading strategies. The ideal candidate will possess a profound understanding of financial markets, advanced statistical and mathematical techniques, and a strong programming aptitude. You will play a key role in enhancing the firm's analytical capabilities and ensuring compliance with regulatory requirements.
Responsibilities:
Qualifications:
This is a fully remote position offering significant flexibility. Our client values technical excellence and collaboration. The role is notionally based in **Ho Chi Minh City, Ho Chi Minh, VN**, but is entirely remote.
Responsibilities:
- Design, develop, and implement complex financial models for derivative pricing, risk management (market risk, credit risk), and portfolio optimization.
- Conduct rigorous back-testing and validation of quantitative models to ensure accuracy and robustness.
- Collaborate with trading desks, risk management teams, and business units to understand their needs and translate them into quantitative solutions.
- Develop and maintain efficient code for model implementation and data analysis using languages such as Python, C++, or R.
- Research and stay updated on the latest advancements in quantitative finance, econometrics, and machine learning.
- Prepare comprehensive documentation for models, including assumptions, methodologies, and limitations.
- Contribute to regulatory submissions and respond to inquiries from internal and external auditors.
- Mentor junior quantitative analysts and contribute to the team's knowledge sharing.
- Identify opportunities to leverage new data sources and analytical techniques to improve modeling capabilities.
- Present complex findings and model results to both technical and non-technical audiences.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or a related discipline.
- Minimum of 6 years of experience in quantitative analysis and financial modeling within the banking or financial services industry.
- Deep understanding of financial markets, instruments, and valuation methodologies.
- Expertise in statistical modeling, time series analysis, and stochastic calculus.
- Proficiency in programming languages commonly used in quant finance (e.g., Python, C++, R, MATLAB).
- Experience with large datasets and database management.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills, with the ability to explain complex concepts clearly.
- Ability to work independently and manage multiple projects effectively in a remote setting.
- Knowledge of regulatory frameworks (e.g., Basel III, CCAR) is a plus.
This is a fully remote position offering significant flexibility. Our client values technical excellence and collaboration. The role is notionally based in **Ho Chi Minh City, Ho Chi Minh, VN**, but is entirely remote.
This advertiser has chosen not to accept applicants from your region.
7
Lead Quantitative Analyst, Financial Modeling
20000 Minh Xuan
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client is actively seeking a highly accomplished Lead Quantitative Analyst to join their innovative remote trading team. This critical role involves the development and implementation of sophisticated mathematical models and algorithms to drive trading strategies and risk management. As a Lead Quantitative Analyst, you will be at the forefront of financial engineering, tackling complex problems in areas such as derivative pricing, portfolio optimization, and algorithmic trading. You will design, test, and deploy robust quantitative models using advanced statistical and programming techniques. Collaboration is key; you will work closely with portfolio managers, traders, and technology teams to translate business requirements into actionable quantitative solutions. A significant aspect of this role involves mentoring junior analysts, providing technical guidance, and fostering a culture of continuous learning and innovation within the remote team. You will be responsible for ensuring the accuracy, efficiency, and compliance of all developed models. Strong proficiency in programming languages such as Python, C++, or R is essential, coupled with a deep understanding of financial markets and instruments. Experience with large datasets and big data technologies is highly desirable. The ideal candidate holds an advanced degree (Master's or Ph.D.) in a quantitative field such as Finance, Mathematics, Physics, or Computer Science, and possesses a proven track record of successfully developing and deploying quantitative models in a high-frequency trading or investment banking environment. You should be adept at communicating complex quantitative concepts to both technical and non-technical audiences. This is a fully remote position, offering the opportunity to work with a global team of experts and contribute to significant advancements in financial technology.
This advertiser has chosen not to accept applicants from your region.
8
Senior Quantitative Analyst - Financial Modeling
24000 Thai Nguyen , Thai Nguyen
WhatJobs
Posted 11 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their dynamic team. This is a fully remote position, offering the flexibility to work from your home office. You will play a crucial role in developing and implementing sophisticated financial models for pricing, risk management, and trading strategies. Responsibilities include designing complex algorithms, performing rigorous statistical analysis, and validating model performance across various market conditions. The ideal candidate will possess a deep understanding of financial markets, derivatives, and quantitative finance principles. Proficiency in programming languages such as Python, R, C++, or similar is essential, along with strong experience in statistical modeling and machine learning techniques. You will collaborate closely with traders, portfolio managers, and risk managers to provide insights and support data-driven decision-making. This role demands exceptional analytical and problem-solving skills, meticulous attention to detail, and the ability to communicate complex quantitative concepts effectively to both technical and non-technical audiences. Experience with large datasets and high-performance computing environments is highly desirable. The successful candidate will be instrumental in developing innovative financial instruments and strategies, contributing directly to the firm's competitive edge and profitability. This remote role requires a proactive approach to identifying market opportunities and potential risks, along with a commitment to maintaining the highest standards of accuracy and compliance. You will be at the forefront of quantitative finance, driving innovation in financial modeling and analysis. The focus is on creating robust and reliable models that enhance trading performance and manage financial risks effectively.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and validate quantitative financial models.
- Design and code algorithms for pricing, risk assessment, and trading strategies.
- Perform statistical analysis and apply machine learning techniques to financial data.
- Analyze market data and identify trends and opportunities.
- Collaborate with front-office and risk management teams.
- Document models clearly and comprehensively.
- Test and backtest model performance.
- Stay current with advancements in quantitative finance and computational methods.
- Ensure compliance with regulatory requirements and internal policies.
- Communicate complex quantitative findings to diverse stakeholders.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 6 years of experience in quantitative finance or a related role.
- Strong programming skills in Python, R, C++, or similar languages.
- Deep understanding of financial markets, derivatives, and quantitative finance theories.
- Proven experience in statistical modeling, econometrics, and machine learning.
- Excellent analytical, problem-solving, and communication skills.
- Experience with large datasets and databases is beneficial.
- Ability to work independently and manage projects effectively in a remote setting.
This advertiser has chosen not to accept applicants from your region.
9