137 Quantitative Analyst jobs in Bahrain
Senior Quantitative Analyst - Financial Markets
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As a Senior Quantitative Analyst, you will be instrumental in developing and implementing sophisticated mathematical models and algorithms for trading strategies, risk management, and financial product pricing. Your responsibilities will include analyzing large datasets, identifying market trends, and providing quantitative insights to support trading decisions and portfolio management. You will collaborate closely with traders, portfolio managers, and other quantitative analysts to drive Alpha generation and enhance risk mitigation strategies.
Key duties involve designing, testing, and deploying quantitative models using programming languages such as Python, R, C++, or MATLAB. You will also be responsible for performance attribution, backtesting strategies, and ensuring the accuracy and robustness of our financial models. A deep understanding of financial markets, derivatives, and statistical methodologies is essential. The role demands a rigorous approach to problem-solving and a passion for uncovering complex financial patterns.
The ideal candidate is a highly motivated and intellectually curious individual with exceptional quantitative and programming skills. You must possess advanced knowledge of statistical modeling, econometrics, machine learning, and stochastic calculus. Excellent communication skills are required to explain complex quantitative concepts to both technical and non-technical audiences. A commitment to continuous learning and staying abreast of the latest advancements in quantitative finance is crucial.
Qualifications: A Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering is required. A minimum of 5 years of relevant experience in quantitative analysis, trading, or risk management within the financial industry is essential. Proven experience in developing and implementing quantitative models in a live trading environment is highly desirable. This is an outstanding opportunity for a top-tier quantitative professional to contribute to a leading financial firm in a dynamic and challenging remote role.
Senior Quantitative Analyst
Posted today
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Job Description
Senior Quantitative Analyst
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Develop, implement, and maintain quantitative models for financial markets.
- Perform rigorous statistical analysis and data mining on large financial datasets.
- Design and backtest trading algorithms and risk management strategies.
- Price complex financial derivatives and structured products.
- Collaborate with traders, portfolio managers, and risk officers to provide insights and solutions.
- Ensure compliance with regulatory requirements and internal policies.
- Present complex findings and recommendations to senior management and stakeholders.
- Stay abreast of new quantitative techniques, market trends, and regulatory changes.
- Develop and maintain robust documentation for all models and methodologies.
- Contribute to the continuous improvement of the firm's quantitative capabilities.
Qualifications:
- Master's or Ph.D. in a quantitative field (Math, Statistics, Finance, etc.).
- 5+ years of experience in quantitative analysis or financial modeling.
- Expertise in programming languages like Python, R, or C++.
- Strong knowledge of financial markets and instruments.
- Proficiency in statistical modeling and machine learning techniques.
- Excellent analytical, problem-solving, and communication skills.
- Experience with financial databases and software.
Senior Quantitative Analyst
Posted today
Job Viewed
Job Description
Senior Quantitative Analyst
Posted today
Job Viewed
Job Description
- Developing, validating, and implementing quantitative models for risk management, pricing, and trading.
- Conducting in-depth statistical analysis of market data to identify trends and opportunities.
- Collaborating with business stakeholders to understand requirements and translate them into analytical solutions.
- Creating clear and concise documentation for models and methodologies.
- Monitoring model performance and performing regular recalibrations.
- Staying current with financial markets, regulatory changes, and advancements in quantitative finance.
- Communicating complex analytical findings effectively to both technical and non-technical audiences.
Senior Quantitative Analyst
Posted today
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Job Description
Key responsibilities include analyzing large financial datasets, identifying market trends, and developing predictive models. You will work with cutting-edge technologies and programming languages such as Python, R, C++, and SQL. Collaboration with traders, portfolio managers, and risk officers to understand their needs and provide data-driven insights is crucial. The ideal candidate will possess a strong academic background in a quantitative discipline such as Mathematics, Statistics, Physics, Financial Engineering, or Economics, typically with a Master's or Ph.D.
A minimum of 5 years of experience in quantitative finance, including experience with financial modeling, derivatives pricing, and risk management, is required. Proven ability to implement models in a programming language and strong analytical and problem-solving skills are essential. You should have excellent communication skills to present complex findings to stakeholders at all levels. Experience with machine learning techniques applied to finance is a plus. This is an exceptional opportunity to contribute to a dynamic financial environment and drive innovation in quantitative strategies.
Responsibilities:
- Develop and implement quantitative financial models.
- Analyze market data and identify trading opportunities.
- Conduct risk analysis and management.
- Build and backtest trading strategies.
- Collaborate with trading and portfolio management teams.
- Stay updated on financial market innovations and regulations.
- Master's/Ph.D. in Quantitative Finance, Mathematics, Statistics, or similar.
- 5+ years of experience in quantitative analysis in finance.
- Proficiency in Python, R, C++, and SQL.
- Strong understanding of financial markets and instruments.
- Experience with risk management and derivatives pricing.
- Excellent analytical and communication skills.
Senior Quantitative Analyst
Posted today
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Job Description
Key Responsibilities:
- Develop, implement, and test quantitative models for financial markets.
- Design and validate trading strategies and algorithms.
- Build and maintain risk management models (e.g., VaR, CVA).
- Price complex financial derivatives and structured products.
- Analyze large volumes of financial market data to identify patterns and opportunities.
- Collaborate with traders, portfolio managers, and risk officers.
- Ensure the accuracy and robustness of models through rigorous backtesting and validation.
- Stay current with advancements in quantitative finance, statistics, and machine learning.
- Write clean, efficient, and well-documented code in languages like Python, C++, or R.
- Communicate complex quantitative concepts effectively to both technical and non-technical audiences.
- 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 a quantitative analysis role within the financial industry.
- Strong programming skills in Python, C++, or R.
- In-depth knowledge of financial markets, derivatives, and risk management principles.
- Experience with statistical modeling, time series analysis, and machine learning techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills.
- Ability to work independently in a fast-paced, remote environment.
- Familiarity with financial data providers (e.g., Bloomberg, Refinitiv) is a plus.
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Senior Quantitative Analyst
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, and implement sophisticated quantitative models for trading, risk management, and portfolio optimization.
- Analyze large financial datasets using advanced statistical and machine learning techniques.
- Backtest and validate trading strategies and models to assess their performance and robustness.
- Collaborate closely with traders and portfolio managers to understand their needs and translate them into quantitative solutions.
- Conduct research into new quantitative methodologies and financial instruments.
- Develop and maintain high-quality, efficient, and well-documented code for quantitative models and analyses.
- Identify and assess market opportunities and risks through rigorous quantitative analysis.
- Monitor the performance of deployed models and systems, making necessary adjustments and improvements.
- Stay abreast of the latest developments in quantitative finance, econometrics, and data science.
- Present research findings and model explanations to technical and non-technical audiences.
- Contribute to the development of the firm's quantitative trading infrastructure and analytics platforms.
- Ensure compliance with regulatory requirements and internal risk policies.
- Master's or Ph.D. degree in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or Economics.
- Minimum of 5 years of experience in quantitative analysis, financial modeling, or algorithmic trading in the financial services industry.
- Proven expertise in programming languages such as Python, R, C++, or Java, with a strong emphasis on data analysis libraries.
- In-depth knowledge of financial markets, instruments (equities, fixed income, derivatives), and trading strategies.
- Strong understanding of statistical modeling, econometrics, machine learning, and time series analysis.
- Experience with large-scale data manipulation and database technologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to collaborate effectively in a remote team environment.
- Ability to work independently, manage multiple projects, and meet deadlines.
- A keen interest in financial markets and quantitative trading.
Senior Quantitative Analyst
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Developing, validating, and implementing quantitative models for pricing, risk management, and trading strategies.
- Performing complex statistical analysis and data mining on large financial datasets.
- Collaborating with traders, portfolio managers, and risk managers to understand their analytical needs.
- Building and maintaining analytical tools and libraries using programming languages like Python, R, or C++.
- Communicating complex quantitative concepts and model results to both technical and non-technical stakeholders.
- Staying current with academic research and industry trends in quantitative finance.
- Contributing to the development and enhancement of our risk management systems.
- Ensuring the accuracy and integrity of model outputs and financial data.
- Assisting in the documentation and validation of models for regulatory purposes.
- Mentoring junior quantitative analysts and fostering a culture of analytical excellence.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, or Computer Science.
- Minimum of 5 years of experience in quantitative analysis within the financial services industry.
- Expertise in statistical modeling, time series analysis, econometrics, and machine learning.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong understanding of financial markets, derivatives pricing, and risk management principles.
- Experience with large datasets and big data technologies is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to convey complex information clearly.
- Ability to work independently and collaboratively in a remote team environment.
Senior Quantitative Analyst
Posted today
Job Viewed
Job Description
- Develop, implement, and validate complex financial models for pricing and risk management
- Analyze large datasets to identify market trends and trading opportunities
- Design and backtest quantitative trading strategies
- Collaborate with trading desks and portfolio managers on model implementation and refinement
- Contribute to the firm's quantitative research efforts
- Ensure models are compliant with regulatory requirements
- Communicate findings and recommendations to stakeholders
- 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 finance, with a focus on derivative pricing or risk management
- Expertise in statistical modeling, time series analysis, and machine learning techniques
- Proficiency in programming languages such as Python, C++, Java, or R
- Strong understanding of financial markets and instruments
- Excellent problem-solving and analytical skills
- Ability to work independently and manage multiple projects in a remote setting