4 Senior Quantitative Analyst Algorithmic Trading jobs in whatjobs
Senior Quantitative Analyst - Algorithmic Trading
Posted 20 days ago
Job Viewed
Job Description
Our client, a prestigious investment firm, is seeking a highly analytical and skilled Senior Quantitative Analyst to join their dynamic team. This role focuses on developing and implementing sophisticated quantitative models and algorithms for algorithmic trading strategies. The successful candidate will be instrumental in researching, designing, and testing new trading strategies, as well as optimizing existing ones to enhance profitability and manage risk. You will work closely with portfolio managers and traders to translate market insights into actionable trading strategies. Key responsibilities include performing complex statistical analysis, back-testing models using historical data, and developing predictive models for market movements. The ideal candidate will possess a strong understanding of financial markets, derivative pricing, econometrics, and programming languages commonly used in quantitative finance, such as Python, R, or C++. Experience with machine learning techniques applied to financial data is highly desirable. You will be expected to generate clear and concise reports and presentations to communicate findings and recommendations to both technical and non-technical audiences. This position requires a rigorous, detail-oriented approach to problem-solving and the ability to work effectively in a fast-paced, collaborative environment. A Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering is required. A minimum of 5 years of experience in quantitative analysis, algorithmic trading, or a related role within the financial services industry is essential. Proven experience in developing and deploying quantitative trading models is a must. Familiarity with real-time data processing and low-latency trading systems is a significant advantage. This role offers a hybrid work arrangement, allowing for a combination of remote work and in-office collaboration, providing flexibility while fostering teamwork. Excellent communication and interpersonal skills are crucial for success in this role. If you have a passion for quantitative finance and a drive to innovate in the trading space, we encourage you to apply.
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Senior Quantitative Analyst - Algorithmic Trading
Posted 20 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking an elite Senior Quantitative Analyst with expertise in Algorithmic Trading to join their cutting-edge quantitative strategies team. This role is fully remote, offering the ultimate flexibility to work from anywhere. You will be responsible for designing, developing, and implementing sophisticated quantitative models and trading algorithms for global financial markets. This position requires a PhD or Master's degree in a quantitative field, exceptional programming skills, and a deep understanding of financial instruments, market microstructure, and statistical modeling. You will collaborate with traders, researchers, and other quants to drive alpha generation and enhance trading performance.
Responsibilities:
Qualifications:
Responsibilities:
- Research, design, and implement quantitative trading strategies across various asset classes (equities, futures, FX, fixed income).
- Develop and optimize algorithmic trading models using statistical, machine learning, and econometrics techniques.
- Build and maintain robust backtesting and simulation frameworks to evaluate strategy performance.
- Analyze large datasets to identify trading opportunities and market inefficiencies.
- Collaborate with software engineers to deploy trading strategies into production environments.
- Monitor and analyze the performance of live trading strategies, making adjustments as needed.
- Conduct research into new quantitative methodologies and technologies.
- Work closely with portfolio managers and traders to understand market needs and implement solutions.
- Ensure compliance with regulatory requirements and risk management policies.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
Qualifications:
- PhD or Master's degree in a highly quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or quantitative research within the financial industry.
- Proven track record of developing and implementing successful trading algorithms.
- Expert proficiency in programming languages such as Python, C++, or Java, and experience with data analysis libraries (e.g., NumPy, Pandas).
- Strong knowledge of statistical modeling, machine learning, time series analysis, and stochastic calculus.
- Deep understanding of financial markets, trading mechanisms, and market microstructure.
- Experience with large-scale data processing and databases.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and teamwork abilities, essential for effective remote collaboration.
- Experience with high-frequency trading (HFT) strategies is a plus.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst, Algorithmic Trading
Posted 10 days ago
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Job Description
Our client, a prestigious international financial institution, is seeking an exceptional Senior Quantitative Analyst to join their cutting-edge algorithmic trading desk. This role is at the forefront of developing and implementing sophisticated trading strategies and models. You will be responsible for researching, designing, testing, and deploying quantitative trading algorithms, analyzing market data, and optimizing trading performance. This is a fully remote position, offering the flexibility to work from anywhere while engaging with complex financial markets and innovative technologies. The role is associated with our **Mlolongo, Machakos, KE** financial hub, but requires no physical presence.
Key Responsibilities:
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. A minimum of 5 years of experience in quantitative analysis, algorithmic trading, or a related role within the financial industry is essential. Proficiency in programming languages such as Python, C++, or R, along with experience in statistical modeling, machine learning, and data analysis libraries, is required. Strong understanding of financial markets, derivatives, and trading strategies is a must. Excellent analytical, problem-solving, and communication skills are vital. Experience with large-scale data processing and cloud computing platforms is a significant advantage. This challenging remote role offers a unique opportunity for a top-tier quant to make a substantial impact in a fast-paced financial environment.
Key Responsibilities:
- Research, develop, backtest, and implement quantitative trading strategies across various asset classes.
- Analyze large datasets of market and historical data to identify trading opportunities and patterns.
- Build and maintain predictive models and statistical tools to support trading decisions.
- Collaborate with traders and technologists to deploy and optimize trading algorithms in live environments.
- Monitor the performance of trading strategies and systems, identifying areas for improvement.
- Conduct quantitative research on market microstructure, high-frequency trading, and risk management.
- Develop and implement risk management frameworks for algorithmic trading strategies.
- Stay abreast of the latest advancements in quantitative finance, machine learning, and data science.
- Communicate complex quantitative concepts and results clearly to both technical and non-technical stakeholders.
- Ensure compliance with regulatory requirements and ethical standards in trading activities.
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. A minimum of 5 years of experience in quantitative analysis, algorithmic trading, or a related role within the financial industry is essential. Proficiency in programming languages such as Python, C++, or R, along with experience in statistical modeling, machine learning, and data analysis libraries, is required. Strong understanding of financial markets, derivatives, and trading strategies is a must. Excellent analytical, problem-solving, and communication skills are vital. Experience with large-scale data processing and cloud computing platforms is a significant advantage. This challenging remote role offers a unique opportunity for a top-tier quant to make a substantial impact in a fast-paced financial environment.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Algorithmic Trading
Posted 5 days ago
Job Viewed
Job Description
Our client, a leading global financial institution, is seeking an exceptionally talented and motivated Senior Quantitative Analyst to join their high-frequency trading team. This is a fully remote role, offering the opportunity to work on complex financial modeling and algorithmic strategies from anywhere. The ideal candidate possesses a strong academic background in a quantitative field, a deep understanding of financial markets, and advanced programming skills. You will be responsible for developing, testing, and implementing sophisticated quantitative models and trading algorithms. This role requires a rigorous analytical approach, meticulous attention to detail, and a proven ability to translate complex mathematical concepts into profitable trading strategies. Collaboration with traders, developers, and other quantitative analysts will be essential. Your expertise will be critical in driving trading performance and innovation. Responsibilities include:
- Developing and backtesting quantitative trading strategies across various asset classes.
- Designing and implementing high-performance algorithms for trade execution.
- Performing statistical analysis of market data to identify patterns and opportunities.
- Building and maintaining robust data infrastructure for research and trading.
- Collaborating with traders to understand market dynamics and refine strategies.
- Working with software engineers to integrate trading models into production systems.
- Monitoring and evaluating the performance of live trading strategies.
- Researching and applying advanced mathematical and statistical techniques.
- Ensuring the integrity and accuracy of quantitative models.
- Staying up-to-date with the latest advancements in quantitative finance and algorithmic trading.
- Contributing to the firm's knowledge base and mentoring junior team members.
- Identifying and mitigating risks associated with trading strategies.
This advertiser has chosen not to accept applicants from your region.
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