2 Remote Senior Quantitative Analyst Investment Strategies jobs in whatjobs
Remote Senior Quantitative Analyst - Investment Strategies
Posted 22 days ago
Job Viewed
Job Description
Our client, a prestigious global investment firm, is seeking a highly analytical and experienced Remote Senior Quantitative Analyst to join their sophisticated banking and finance division. This is a fully remote position, offering the chance to work with complex financial data, develop cutting-edge investment models, and contribute to significant financial strategies from your preferred location. You will play a crucial role in deriving actionable insights from market data and contributing to investment decision-making processes.
As a Senior Quantitative Analyst, you will be responsible for developing, testing, and implementing sophisticated quantitative models for various financial applications, including risk management, portfolio optimization, and algorithmic trading. Your work will involve extensive data analysis, statistical modeling, and programming. You will collaborate closely with portfolio managers, traders, and risk officers to understand their needs and translate them into quantitative solutions. This role requires a deep understanding of financial markets, advanced statistical techniques, and proficiency in programming languages commonly used in quantitative finance. Strong remote communication and collaboration skills are essential.
Key responsibilities include:
As a Senior Quantitative Analyst, you will be responsible for developing, testing, and implementing sophisticated quantitative models for various financial applications, including risk management, portfolio optimization, and algorithmic trading. Your work will involve extensive data analysis, statistical modeling, and programming. You will collaborate closely with portfolio managers, traders, and risk officers to understand their needs and translate them into quantitative solutions. This role requires a deep understanding of financial markets, advanced statistical techniques, and proficiency in programming languages commonly used in quantitative finance. Strong remote communication and collaboration skills are essential.
Key responsibilities include:
- Developing and implementing quantitative models for asset pricing, risk management, and portfolio construction.
- Conducting in-depth statistical analysis of market data to identify trends and opportunities.
- Designing and back-testing trading strategies using historical data.
- Collaborating with portfolio managers and traders to provide quantitative insights and support investment decisions.
- Monitoring the performance of quantitative models and making necessary adjustments.
- Researching and evaluating new quantitative methodologies and technologies.
- Developing tools and software for data analysis, model implementation, and performance monitoring.
- Communicating complex quantitative concepts to both technical and non-technical audiences.
- Ensuring compliance with regulatory requirements and internal risk policies.
- Contributing to the development and mentoring of junior quantitative analysts.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, Computer Science, or a related discipline.
- Minimum of 7 years of experience in quantitative analysis, financial modeling, or a related role within the banking and finance industry.
- Proven expertise in statistical modeling, time series analysis, and econometrics.
- Strong proficiency in programming languages such as Python, R, C++, or Java, and experience with relevant libraries (e.g., NumPy, Pandas, SciPy).
- Experience with financial data platforms (e.g., Bloomberg, Refinitiv) and databases.
- Solid understanding of financial markets, derivatives, and investment strategies.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex quantitative concepts clearly.
- Ability to work independently and manage multiple projects in a remote setting.
- Experience with machine learning techniques applied to finance is a plus.
This advertiser has chosen not to accept applicants from your region.
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Remote Senior Quantitative Analyst - Investment Strategies
Posted 18 days ago
Job Viewed
Job Description
Our client is a prestigious global investment firm seeking a highly analytical and sophisticated Senior Quantitative Analyst to join their remote trading strategies team. This is a fully remote position, offering the opportunity to work on cutting-edge financial modeling and strategy development from anywhere.
As a Senior Quantitative Analyst, you will be responsible for developing, backtesting, and implementing sophisticated quantitative trading strategies across various asset classes. You will conduct rigorous statistical analysis, build predictive models, and perform risk assessments to optimize investment performance. Your role will involve collaborating closely with portfolio managers and traders to translate market insights into actionable trading algorithms.
The ideal candidate possesses a strong academic background in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science, Economics) and extensive experience in financial markets. Proficiency in programming languages such as Python, R, C++, or MATLAB is essential, along with a deep understanding of machine learning techniques, time-series analysis, and statistical modeling. You must be comfortable working with large datasets, have excellent problem-solving skills, and the ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences in a remote setting. This role demands a high level of intellectual curiosity, attention to detail, and a passion for quantitative finance.
Key Responsibilities:
As a Senior Quantitative Analyst, you will be responsible for developing, backtesting, and implementing sophisticated quantitative trading strategies across various asset classes. You will conduct rigorous statistical analysis, build predictive models, and perform risk assessments to optimize investment performance. Your role will involve collaborating closely with portfolio managers and traders to translate market insights into actionable trading algorithms.
The ideal candidate possesses a strong academic background in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science, Economics) and extensive experience in financial markets. Proficiency in programming languages such as Python, R, C++, or MATLAB is essential, along with a deep understanding of machine learning techniques, time-series analysis, and statistical modeling. You must be comfortable working with large datasets, have excellent problem-solving skills, and the ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences in a remote setting. This role demands a high level of intellectual curiosity, attention to detail, and a passion for quantitative finance.
Key Responsibilities:
- Develop, test, and deploy quantitative trading strategies across various financial markets.
- Conduct in-depth statistical analysis and econometric modeling of market data.
- Build and refine predictive models using machine learning and statistical techniques.
- Perform risk analysis and management for trading strategies.
- Collaborate with portfolio managers and traders to identify new investment opportunities.
- Implement and optimize trading algorithms in a production environment.
- Analyze trading performance and identify areas for improvement.
- Stay abreast of the latest research and developments in quantitative finance and machine learning.
- Maintain high-quality code and documentation for all models and strategies.
- Ensure compliance with all regulatory requirements and firm policies.
- Master's or Ph.D. in a quantitative discipline such as Mathematics, Statistics, Physics, Economics, or Computer Science.
- 5+ years of experience in quantitative finance, algorithmic trading, or related fields.
- Strong programming skills in Python, R, C++, or MATLAB.
- Extensive knowledge of statistical modeling, time-series analysis, and machine learning algorithms.
- Experience with financial data analysis and portfolio optimization techniques.
- Proven ability to work independently and collaboratively in a remote team environment.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Familiarity with financial markets and various asset classes.
This advertiser has chosen not to accept applicants from your region.
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