4 442 Quantitative Analyst jobs in Bahrain
Quantitative Analyst
Posted 7 days ago
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Quantitative Analyst
Posted 18 days ago
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Job Description
Key Responsibilities:
- Design, develop, and test quantitative trading strategies and financial models using statistical and machine learning techniques.
- Perform rigorous backtesting and performance analysis of proposed strategies and models.
- Analyze large datasets to identify market patterns, correlations, and trading opportunities.
- Collaborate with portfolio managers and traders to implement and refine quantitative strategies.
- Develop and maintain robust code for data analysis, modeling, and execution systems.
- Monitor and manage the performance of live trading strategies, making necessary adjustments.
- Stay current with the latest research in quantitative finance, machine learning, and data science.
- Contribute to the firm's research and development efforts in new areas of quantitative finance.
- Communicate complex findings and strategies clearly to both technical and non-technical stakeholders.
- Ensure compliance with all relevant regulations and internal policies.
- Work independently and as part of a distributed team, taking ownership of projects from inception to completion.
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related discipline.
- Minimum of 3-5 years of experience in quantitative analysis, algorithmic trading, or portfolio management.
- Proficiency in programming languages commonly used in quantitative finance, such as Python, C++, R, or Java.
- Strong experience with statistical modeling, time series analysis, machine learning, and data mining techniques.
- Deep understanding of financial markets, derivatives, and portfolio theory.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to articulate complex concepts effectively.
- Proven ability to work autonomously and collaboratively in a remote setting.
- Demonstrated ability to manage projects and deliver results under pressure.
Quantitative Analyst (Quant)
Posted 1 day ago
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Quantitative Analyst (Quant)
Posted 3 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement quantitative models for pricing, risk management, and trading strategies.
- Conduct in-depth mathematical and statistical analysis of financial markets and instruments.
- Build and maintain high-performance trading algorithms and systems.
- Perform back-testing and validation of quantitative models.
- Collaborate with traders, portfolio managers, and IT teams to integrate models into production systems.
- Analyze large datasets to identify trading opportunities and market inefficiencies.
- Ensure the robustness and accuracy of quantitative models and their implementation.
- Stay abreast of the latest academic research and industry developments in quantitative finance.
- Contribute to the development of new financial products and strategies.
- Communicate complex quantitative concepts 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.
- Proven experience as a Quantitative Analyst or in a similar role within the financial industry.
- Strong programming skills in languages such as Python, C++, or R.
- Expertise in financial modeling, stochastic calculus, time series analysis, and econometrics.
- Deep understanding of financial markets, derivatives, and risk management principles.
- Experience with large datasets and data analysis tools.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation abilities.
- Ability to work independently and collaboratively in a remote team environment.
Quantitative Analyst (Quant)
Posted 7 days ago
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Job Description
The successful candidate will be responsible for developing, implementing, and validating complex mathematical models and algorithms used for pricing financial derivatives, managing risk, and optimizing trading strategies. You will collaborate closely with traders, portfolio managers, and IT professionals to translate quantitative insights into profitable trading decisions and robust risk management frameworks. A deep understanding of financial markets, stochastic calculus, statistical modeling, and programming is essential.
Key responsibilities include:
- Designing, developing, and testing sophisticated mathematical models for pricing and risk management of financial instruments.
- Implementing quantitative models in production environments using programming languages such as Python, C++, or R.
- Performing statistical analysis of market data to identify trading opportunities and risks.
- Collaborating with trading desks to develop and refine quantitative trading strategies.
- Validating the accuracy and performance of existing models and algorithms.
- Contributing to the development of risk management systems and frameworks.
- Communicating complex quantitative concepts to both technical and non-technical stakeholders.
- Staying abreast of the latest research and developments in quantitative finance and machine learning.
- Ensuring compliance with regulatory requirements and internal policies.
- Backtesting and optimizing trading strategies based on historical data.
Quantitative Analyst (Quant)
Posted 10 days ago
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Job Description
Quantitative Analyst (Quant)
Posted 16 days ago
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Job Description
Key Responsibilities:
- Develop, test, and implement quantitative models for pricing, risk management, and trading strategies.
- Analyze large and complex datasets to identify market trends and opportunities.
- Design and build algorithms for automated trading systems.
- Collaborate with traders, portfolio managers, and other quants to refine models and strategies.
- Conduct rigorous backtesting and performance analysis of trading models.
- Research and evaluate new quantitative methodologies and technologies.
- Contribute to the development of risk management frameworks and tools.
- Document model designs, assumptions, and methodologies thoroughly.
- Stay abreast of the latest academic research and industry developments in quantitative finance.
- Ensure the robustness and accuracy of all quantitative outputs.
- Work independently and effectively manage projects in a remote setting.
- Present complex findings and recommendations to stakeholders in a clear and concise manner.
Qualifications:
- Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience as a Quantitative Analyst in investment banking, hedge funds, or asset management.
- Strong programming skills in languages such as Python, C++, or R.
- In-depth knowledge of statistical modeling, machine learning, and time series analysis.
- Expertise in financial markets, derivatives pricing, and risk management.
- Experience with data analysis and manipulation tools.
- Excellent problem-solving, analytical, and critical thinking abilities.
- Ability to work independently and manage complex projects in a remote environment.
- Strong communication and interpersonal skills for effective collaboration.
- Proven track record of developing successful quantitative models.
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Quantitative Analyst (Quant)
Posted 22 days ago
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Job Description
Responsibilities:
- Design, develop, test, and implement quantitative models for pricing, trading, and risk management of various financial instruments (e.g., derivatives, equities, fixed income).
- Analyze large datasets to identify market trends, patterns, and opportunities.
- Collaborate with traders, portfolio managers, and risk managers to understand their needs and deliver innovative quantitative solutions.
- Develop algorithms for algorithmic trading strategies and execution.
- Conduct rigorous backtesting and validation of models.
- Monitor and maintain the performance of existing models, making necessary adjustments.
- Research and stay updated on the latest quantitative finance theories, market developments, and technological advancements.
- Communicate complex quantitative concepts and results clearly to both technical and non-technical stakeholders.
- Contribute to the development and enhancement of trading systems and infrastructure.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Proven experience as a Quantitative Analyst or in a similar quantitative role within the financial industry.
- Strong programming skills in languages such as Python, C++, R, or Java.
- Deep understanding of financial markets, derivatives pricing, and risk management principles.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work effectively both independently and as part of a team.
- Familiarity with financial databases (e.g., Bloomberg, Refinitiv) is a plus.
Quantitative Analyst (Quant)
Posted 23 days ago
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Job Description
The ideal candidate possesses a deep understanding of financial markets, statistical modeling, and programming. You will work closely with traders, portfolio managers, and risk officers to identify opportunities, assess risk, and enhance profitability. This is a challenging and rewarding opportunity for a talented individual looking to make a significant impact in the fast-paced world of finance.
Key Responsibilities:
- Develop and implement quantitative models for pricing, risk management, and algorithmic trading strategies.
- Analyze large datasets to identify market trends, patterns, and trading opportunities.
- Conduct backtesting and simulation of trading strategies to assess performance and risk.
- Collaborate with traders and portfolio managers to provide quantitative insights and support decision-making.
- Build and maintain robust, efficient, and scalable trading systems and infrastructure.
- Monitor market conditions and adjust models and strategies as necessary.
- Communicate complex quantitative concepts and findings clearly to both technical and non-technical audiences.
- Stay abreast of the latest research, tools, and techniques in quantitative finance and econometrics.
- Ensure compliance with regulatory requirements and internal policies.
- Contribute to the development and enhancement of the firm's quantitative research capabilities.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 3 years of experience in quantitative analysis, financial modeling, or algorithmic trading.
- Strong proficiency in programming languages commonly used in quantitative finance, such as Python, C++, R, or Java.
- Deep understanding of financial markets, derivatives, and portfolio theory.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Experience with data analysis tools and databases.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts effectively.
- Ability to work independently and collaboratively in a hybrid work environment.
- Familiarity with risk management frameworks is a plus.
Quantitative Analyst (Quant)
Posted 25 days ago
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Job Description
Key responsibilities include designing, testing, and deploying quantitative models for pricing derivatives, managing risk, and optimizing portfolios. You will analyze large datasets to identify market patterns and opportunities, and develop algorithms to automate trading processes. Collaboration with portfolio managers, traders, and risk managers to understand their needs and provide quantitative solutions will be essential. Proficiency in programming languages commonly used in finance, such as Python, C++, or R, is required. Experience with statistical modeling, time series analysis, and machine learning techniques is highly desirable. You will also be responsible for backtesting strategies, validating model performance, and ensuring compliance with regulatory requirements. Strong problem-solving skills, attention to detail, and the ability to communicate complex quantitative concepts to non-technical stakeholders are vital. This is an exciting opportunity to work in a challenging and intellectually stimulating environment, contributing to critical financial decision-making processes and advancing your career in the financial industry. This role offers a hybrid work model, providing flexibility between remote and in-office work.