2 Senior Quantitative Analyst Algorithmic Trading Strategies jobs in whatjobs
Senior Quantitative Analyst - Algorithmic Trading Strategies
Posted 15 days ago
Job Viewed
Job Description
Our client, a prominent financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their cutting-edge trading strategies team. This is a fully remote position, enabling you to contribute your expertise from your preferred work environment. You will be responsible for developing, backtesting, and deploying sophisticated quantitative models and algorithms for algorithmic trading across various asset classes. This role requires a deep understanding of financial markets, statistical modeling, and programming. Your core responsibilities will involve researching and implementing complex mathematical and statistical models to identify trading opportunities, optimize execution, and manage risk. You will work with large datasets, perform rigorous quantitative analysis, and collaborate closely with portfolio managers and developers to bring trading strategies to life. A significant part of this role involves continuous monitoring and refinement of existing trading strategies, as well as exploring new research avenues. You will leverage your expertise in programming languages such as Python or R, along with specialized libraries for data analysis and financial modeling. The ideal candidate will possess a strong academic background in a quantitative discipline, such as finance, mathematics, statistics, physics, or computer science, coupled with a proven track record in developing and implementing successful trading strategies in a professional setting. You must be adept at translating complex financial concepts into actionable trading logic. This role demands an individual who is highly self-motivated, detail-oriented, and capable of working independently in a remote capacity while maintaining close collaboration with the team. The ** Mombasa, Mombasa, KE ** location indicates the operational hub of the trading desk this role supports, though the work itself is conducted remotely.
Responsibilities:
Responsibilities:
- Develop and implement quantitative models for algorithmic trading.
- Conduct rigorous statistical analysis and backtesting of trading strategies.
- Research and identify new trading opportunities and market inefficiencies.
- Collaborate with traders and developers to deploy and manage trading systems.
- Monitor and optimize the performance of existing trading algorithms.
- Manage and analyze large datasets related to market data and trade execution.
- Contribute to the firm's quantitative research initiatives.
- Master's or Ph.D. in Finance, Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
- 5+ years of experience in quantitative finance, algorithmic trading, or related areas.
- Proficiency in programming languages like Python, R, C++, or Java.
- Strong knowledge of statistical modeling, time series analysis, and econometrics.
- Experience with financial markets and trading platforms.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and effectively in a remote team environment.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Algorithmic Trading Strategies
Posted 4 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 elite, fully remote trading strategy team. This role is integral to developing, testing, and implementing sophisticated algorithmic trading models that drive profitability across global markets. You will leverage advanced statistical techniques, machine learning, and data science to uncover market insights and create competitive trading advantages. Key responsibilities include:
The ideal candidate will hold a Master's or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science, coupled with a minimum of 5 years of relevant experience in quantitative analysis, preferably within algorithmic trading or asset management. Proven expertise in statistical modeling, time-series analysis, and machine learning techniques is essential. Strong programming skills in Python and/or C++ are required, along with proficiency in data manipulation and visualization tools. Experience with large datasets and distributed computing environments is highly advantageous. Exceptional analytical, problem-solving, and communication skills are paramount for this role. This fully remote position offers a unique opportunity to influence high-frequency trading and investment strategies from anywhere, contributing to the financial sector historically associated with Malindi, Kilifi, KE .
We are looking for a deeply analytical and innovative mind capable of transforming data into profitable trading strategies.
- Designing, developing, and backtesting quantitative trading strategies using historical and real-time market data.
- Building and maintaining complex financial models, applying statistical and econometric methodologies.
- Utilizing programming languages such as Python, R, or C++ for data analysis, model development, and implementation.
- Collaborating with portfolio managers and traders to understand market dynamics and identify opportunities for quantitative strategy development.
- Conducting rigorous performance analysis and risk assessment of trading strategies.
- Implementing algorithmic trading strategies into production environments, ensuring robustness and efficiency.
- Staying current with the latest advancements in quantitative finance, machine learning, and data science.
- Exploring and integrating alternative data sources to enhance predictive power of models.
- Documenting research findings, model methodologies, and trading strategy logic thoroughly.
- Mentoring junior quantitative analysts and contributing to the team's intellectual capital.
The ideal candidate will hold a Master's or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science, coupled with a minimum of 5 years of relevant experience in quantitative analysis, preferably within algorithmic trading or asset management. Proven expertise in statistical modeling, time-series analysis, and machine learning techniques is essential. Strong programming skills in Python and/or C++ are required, along with proficiency in data manipulation and visualization tools. Experience with large datasets and distributed computing environments is highly advantageous. Exceptional analytical, problem-solving, and communication skills are paramount for this role. This fully remote position offers a unique opportunity to influence high-frequency trading and investment strategies from anywhere, contributing to the financial sector historically associated with Malindi, Kilifi, KE .
We are looking for a deeply analytical and innovative mind capable of transforming data into profitable trading strategies.
This advertiser has chosen not to accept applicants from your region.
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