What Jobs are available for Trade Analyst in Bahrain?
Showing 44 Trade Analyst jobs in Bahrain
Senior Quantitative Analyst - Trading Strategies
26004 Galali
BHD120000 Annually
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is actively seeking an exceptional Senior Quantitative Analyst to join their elite, fully remote trading strategies team. This high-impact role involves the research, development, and implementation of sophisticated quantitative models and algorithms to drive trading decisions across various asset classes. As a remote employee, you will leverage cutting-edge technology and collaborate with a global team of experts to generate alpha and optimize portfolio performance. The ideal candidate possesses a deep understanding of financial markets, advanced statistical modeling techniques, and proficiency in programming languages commonly used in quantitative finance.
Key Responsibilities:
Key Responsibilities:
- Design, develop, backtest, and deploy quantitative trading strategies using statistical and machine learning models.
- Conduct in-depth market research and data analysis to identify profitable trading opportunities.
- Collaborate with portfolio managers and traders to understand market needs and implement strategies.
- Optimize existing trading algorithms for performance, efficiency, and risk management.
- Develop and maintain high-quality, production-ready code in Python, C++, or similar languages.
- Analyze large datasets to extract meaningful insights and validate model assumptions.
- Monitor live trading strategies, analyze performance, and make necessary adjustments.
- Contribute to the firm's intellectual property by publishing research and developing innovative methodologies.
- Stay abreast of the latest advancements in quantitative finance, machine learning, and financial engineering.
- Ensure compliance with all relevant regulatory requirements and internal policies.
- Mentor junior quantitative analysts and contribute to the team's knowledge sharing.
- Work effectively within a remote team environment, utilizing collaboration tools and best practices.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Economics.
- Minimum of 5 years of relevant experience in quantitative analysis, algorithmic trading, or portfolio management within the financial industry.
- Proven track record of developing and implementing successful quantitative trading strategies.
- Strong proficiency in programming languages like Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch) and C++.
- Deep understanding of financial markets, derivatives, and statistical modeling techniques.
- Experience with big data technologies and cloud computing platforms is a plus.
- Excellent analytical, problem-solving, and quantitative reasoning skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences.
- Ability to work independently and manage multiple projects in a demanding, remote setting.
- Demonstrated ability to thrive in a fast-paced, intellectually stimulating environment.
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0
Senior Quantitative Analyst - Trading Strategies
21201 Halat Seltah, Muharraq
BHD180000 Annually
WhatJobs
Posted 12 days ago
Job Viewed
Job Description
Our client, a prestigious institution in the Banking & Finance sector, is seeking a highly analytical and innovative Senior Quantitative Analyst to join their dynamic trading strategies team. This fully remote position is ideal for individuals with a strong background in mathematical modeling, statistical analysis, and financial markets. You will be responsible for developing, backtesting, and implementing sophisticated quantitative trading strategies across various asset classes. The ideal candidate will possess a deep understanding of financial instruments, algorithmic trading, and risk management principles. You will collaborate closely with portfolio managers and traders to generate alpha and optimize investment performance. Key responsibilities include designing complex algorithms, conducting rigorous statistical analysis of market data, managing risk exposure, and contributing to the continuous improvement of trading systems. This role demands exceptional problem-solving skills and the ability to translate complex mathematical concepts into profitable trading strategies. We are looking for a self-starter who can excel in a remote work environment and contribute significantly to our quantitative trading efforts.
Responsibilities:
Responsibilities:
- Develop, test, and implement quantitative trading strategies for equities, futures, options, and other financial instruments.
- Conduct in-depth statistical analysis of market data to identify trading opportunities and patterns.
- Build and maintain sophisticated mathematical and statistical models for pricing, risk management, and prediction.
- Collaborate with portfolio managers and traders to refine strategy parameters and execution.
- Monitor and manage the risk exposure of implemented trading strategies.
- Research and explore new data sources and analytical techniques to enhance strategy performance.
- Optimize trading algorithms for speed, efficiency, and profitability.
- Contribute to the development and maintenance of the firm's trading infrastructure.
- Stay abreast of the latest developments in quantitative finance, machine learning, and algorithmic trading.
- Effectively communicate research findings and strategy recommendations to stakeholders.
- Advanced degree (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 Trader in the financial industry, with a focus on strategy development.
- Strong programming skills in languages such as Python, C++, or R, and experience with relevant libraries.
- Deep understanding of financial markets, derivatives, and trading mechanics.
- Expertise in statistical modeling, machine learning, and time series analysis.
- Experience with backtesting platforms and trading system development.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and thrive in a fast-paced, remote environment.
- Strong communication and presentation skills.
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1
Senior Quantitative Analyst - Trading Strategies
810 Hamad Town, Northern
BHD160000 Annually
WhatJobs
Posted 13 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their quantitative strategies team. This role involves developing, testing, and implementing sophisticated mathematical models and algorithms for trading strategies across various asset classes. You will collaborate closely with traders and portfolio managers to drive alpha generation and optimize trading performance. This position offers a hybrid work arrangement, providing a balance between remote flexibility and essential in-office collaboration.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and backtest complex quantitative trading models and strategies using statistical and machine learning techniques.
- Analyze large financial datasets to identify market patterns, predict price movements, and uncover trading opportunities.
- Implement trading algorithms and ensure their efficient execution in live trading environments.
- Collaborate with portfolio managers and traders to understand their needs and translate them into quantitative solutions.
- Conduct rigorous performance analysis of trading strategies, identifying sources of risk and return.
- Develop tools and frameworks for strategy research, development, and monitoring.
- Stay current with academic research and industry trends in quantitative finance and algorithmic trading.
- Communicate complex quantitative concepts and results effectively to both technical and non-technical audiences.
- Contribute to the firm's risk management framework by analyzing and quantifying trading risks.
- Mentor junior quantitative analysts and contribute to the team's overall knowledge base.
- 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 quantitative analysis, particularly in developing trading strategies within the financial industry.
- Strong programming skills in languages like Python, C++, or R, with experience in relevant libraries (e.g., NumPy, Pandas, SciPy, TensorFlow).
- Deep understanding of statistical modeling, time series analysis, machine learning, and financial econometrics.
- Proven experience with financial markets, derivatives, and various asset classes.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex ideas clearly.
- Experience working in a hybrid or team-oriented environment.
- Familiarity with high-frequency trading (HFT) concepts is a plus.
- High ethical standards and a commitment to rigorous research.
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2
Senior Quantitative Analyst, Trading Strategies
760, BH Southern, Southern
BHD150000 Annually
WhatJobs
Posted 17 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking an exceptionally talented Senior Quantitative Analyst to join their high-frequency trading strategies team. This is a fully remote, intellectually demanding role where you will be at the forefront of developing and implementing sophisticated trading algorithms. You will leverage your expertise in mathematics, statistics, and programming to identify market inefficiencies, design predictive models, and optimize trading execution. The role requires a deep understanding of financial markets, a rigorous analytical approach, and the ability to translate complex quantitative concepts into actionable trading strategies.
Responsibilities:
Responsibilities:
- Research, design, and implement quantitative trading strategies across various asset classes.
- Develop and backtest complex mathematical and statistical models for market prediction.
- Analyze large datasets to identify trading opportunities and risks.
- Collaborate with traders and technologists to deploy and monitor trading algorithms in live environments.
- Optimize trading strategy parameters and execution logic for maximum performance.
- Conduct in-depth performance analysis of trading strategies and identify areas for improvement.
- Stay current with academic research and industry trends in quantitative finance.
- Contribute to the development of proprietary trading tools and platforms.
- Mentor junior quantitative analysts and share knowledge within the team.
- Ensure compliance with all relevant financial regulations and risk management protocols.
- Communicate complex quantitative concepts clearly to both technical and non-technical stakeholders in a remote setting.
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3
Senior Quantitative Analyst - Trading Strategies
217 Al Seef
BHD160000 Annually
WhatJobs
Posted 19 days ago
Job Viewed
Job Description
Our client, a prestigious international bank located in Salmabad, Northern, BH , is looking for a highly analytical and innovative Senior Quantitative Analyst to join their expanding Trading Strategies division. This role is pivotal in developing, implementing, and refining complex quantitative models that drive trading decisions across various asset classes. You will be instrumental in designing sophisticated algorithms, conducting rigorous back-testing, and performing in-depth market analysis to identify profitable trading opportunities. The ideal candidate possesses a strong academic background in a quantitative field such as Mathematics, Physics, Statistics, or Computer Science, coupled with extensive practical experience in financial modeling and risk management. You will leverage your expertise in programming languages like Python, R, or C++ to build and optimize trading systems, as well as manage large datasets efficiently. Collaboration is key, as you will work closely with portfolio managers, traders, and other quants to translate market insights into actionable strategies. Key responsibilities include researching new financial instruments, developing predictive models for market movements, and ensuring the robustness and performance of existing trading strategies. A deep understanding of derivatives pricing, stochastic calculus, and time series analysis is essential. You will also be involved in presenting complex findings to senior management and contributing to the strategic direction of the trading desk. This position offers a challenging and rewarding career in a fast-paced financial environment.
Key Responsibilities:
Key Responsibilities:
- Develop, test, and implement quantitative trading strategies and models.
- Conduct in-depth research on market microstructure, asset pricing, and statistical arbitrage opportunities.
- Utilize advanced statistical and machine learning techniques to analyze financial data.
- Collaborate with traders and portfolio managers to refine and deploy trading strategies.
- Perform rigorous back-testing and validation of trading algorithms.
- Manage and analyze large datasets for strategy development and performance monitoring.
- Contribute to the development and maintenance of the firm's trading infrastructure.
- Stay current with academic research and industry trends in quantitative finance.
- Present complex analytical results and strategy recommendations to senior stakeholders.
- Ensure compliance with all relevant financial regulations and internal risk policies.
- Master's or Ph.D. in a quantitative discipline (Mathematics, Statistics, Physics, Economics, Computer Science).
- 5+ years of relevant experience in quantitative analysis, trading strategy development, or risk management within the financial industry.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong understanding of financial markets, derivatives, and portfolio theory.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Experience with large-scale data manipulation and database management.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to communicate complex quantitative concepts clearly and concisely.
- Proven track record of developing successful trading strategies is highly desirable.
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4
Senior Quantitative Analyst - Trading Strategies
28841 Jbeil
BHD150000 Annually
WhatJobs
Posted 23 days ago
Job Viewed
Job Description
Our client, a prestigious investment bank, is seeking a highly skilled Senior Quantitative Analyst to join their elite trading strategies division. This role is based in our main office, requiring a dedicated presence for close collaboration with trading desks and research teams. You will be instrumental in developing, implementing, and refining sophisticated mathematical models and algorithms for algorithmic trading, risk management, and portfolio optimization. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative field such as Mathematics, Physics, Computer Science, or Financial Engineering, coupled with extensive experience in developing high-frequency trading strategies. You will be at the forefront of financial innovation, contributing to the bank's competitive edge in global markets.
Responsibilities:
Responsibilities:
- Design, develop, and backtest complex quantitative models for trading strategies across various asset classes (equities, derivatives, fixed income).
- Implement trading algorithms in a high-performance computing environment, optimizing for speed and accuracy.
- Conduct rigorous statistical analysis of market data to identify trading opportunities and risks.
- Collaborate closely with traders and portfolio managers to understand their needs and translate them into quantitative solutions.
- Develop and maintain risk management frameworks and tools to monitor and control trading exposures.
- Research and integrate cutting-edge quantitative techniques and machine learning methodologies.
- Monitor the performance of live trading strategies and perform ongoing adjustments as needed.
- Contribute to the firm's intellectual property through innovative research and development.
- Ensure adherence to all regulatory requirements and internal compliance policies.
- Mentor junior quantitative analysts and contribute to the team's technical expertise.
- Ph.D. or Master's degree in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related highly quantitative discipline.
- Minimum of 7 years of relevant experience in quantitative finance, with a strong focus on trading strategy development.
- Proven expertise in statistical modeling, time series analysis, stochastic calculus, and machine learning.
- Proficiency in programming languages such as Python, C++, and R.
- Experience with large-scale data analysis and high-frequency trading systems.
- Deep understanding of financial markets and various asset classes.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities to convey complex ideas clearly to both technical and non-technical audiences.
- Ability to work effectively under pressure in a fast-paced trading environment.
- Demonstrated success in developing and implementing profitable trading strategies.
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5
Senior Quantitative Analyst - Algorithmic Trading Strategies
00001 Busaiteen, Muharraq
BHD180000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client, a leading international investment bank, is seeking an exceptional Senior Quantitative Analyst to join their high-performing, fully remote trading strategies team. This role offers a unique opportunity to work from anywhere, leveraging cutting-edge technology to develop and implement sophisticated algorithmic trading models. You will be at the forefront of financial innovation, designing, backtesting, and deploying quantitative strategies across various asset classes.
Key responsibilities include conducting rigorous statistical and econometric analysis of market data, identifying profitable trading opportunities, and developing robust risk management frameworks. You will collaborate closely with traders and portfolio managers to translate market insights into actionable trading algorithms. Proficiency in programming languages such as Python, C++, or R is essential for data analysis, model development, and system implementation. The ideal candidate will have a deep understanding of financial markets, derivatives pricing, time-series analysis, and machine learning techniques. Experience with large-scale data processing and high-frequency trading environments is highly advantageous. This is a demanding role requiring intellectual curiosity, strong analytical rigor, and the ability to thrive in a fast-paced, remote-first environment. You will be expected to continuously research and innovate, staying ahead of market trends and technological advancements.
Qualifications include a Master's degree or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Computer Science, or Physics. A minimum of 5-7 years of experience in quantitative analysis, algorithmic trading, or a related role within the financial industry is required. Proven track record of developing and implementing successful trading strategies. Exceptional problem-solving skills, attention to detail, and the ability to work independently and collaboratively in a distributed team setting. Excellent communication skills are necessary to articulate complex quantitative concepts to both technical and non-technical stakeholders. This is a premier opportunity for a highly skilled quant to make a significant impact in a globally recognized financial institution.
Key responsibilities include conducting rigorous statistical and econometric analysis of market data, identifying profitable trading opportunities, and developing robust risk management frameworks. You will collaborate closely with traders and portfolio managers to translate market insights into actionable trading algorithms. Proficiency in programming languages such as Python, C++, or R is essential for data analysis, model development, and system implementation. The ideal candidate will have a deep understanding of financial markets, derivatives pricing, time-series analysis, and machine learning techniques. Experience with large-scale data processing and high-frequency trading environments is highly advantageous. This is a demanding role requiring intellectual curiosity, strong analytical rigor, and the ability to thrive in a fast-paced, remote-first environment. You will be expected to continuously research and innovate, staying ahead of market trends and technological advancements.
Qualifications include a Master's degree or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Computer Science, or Physics. A minimum of 5-7 years of experience in quantitative analysis, algorithmic trading, or a related role within the financial industry is required. Proven track record of developing and implementing successful trading strategies. Exceptional problem-solving skills, attention to detail, and the ability to work independently and collaboratively in a distributed team setting. Excellent communication skills are necessary to articulate complex quantitative concepts to both technical and non-technical stakeholders. This is a premier opportunity for a highly skilled quant to make a significant impact in a globally recognized financial institution.
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6
Senior Quantitative Analyst - Algorithmic Trading Strategies
401 Northern, Northern
BHD160000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client, a prestigious quantitative trading firm, is seeking a highly skilled and analytical Senior Quantitative Analyst to join their elite remote team. You will be at the forefront of developing and implementing sophisticated algorithmic trading strategies across various asset classes. This role requires a deep understanding of financial markets, advanced statistical modeling, and expert programming skills to design, backtest, and deploy profitable trading systems. You will work in a collaborative environment, contributing to cutting-edge research and driving innovation in quantitative finance.
Key Responsibilities:
Key Responsibilities:
- Research, design, and develop quantitative trading strategies using advanced statistical, mathematical, and machine learning techniques.
- Build and maintain robust backtesting frameworks to evaluate strategy performance under various market conditions.
- Implement trading algorithms in a production environment, ensuring reliability, performance, and efficiency.
- Analyze large datasets of market data to identify trading opportunities and patterns.
- Collaborate with portfolio managers and traders to refine strategy parameters and execution logic.
- Monitor the performance of live trading strategies, troubleshoot issues, and implement necessary adjustments.
- Stay current with the latest academic research and industry trends in quantitative finance and algorithmic trading.
- Develop and maintain data pipelines and analytical tools to support research and trading activities.
- Contribute to the firm's intellectual capital through research papers, presentations, and knowledge sharing.
- Ensure adherence to risk management protocols and regulatory requirements.
- Ph.D. or Master's degree in a quantitative field such as Financial Engineering, Statistics, Mathematics, Computer Science, or Physics.
- Minimum of 5-7 years of experience in quantitative research and development, specifically within algorithmic trading or quantitative finance.
- Proven track record of developing and deploying successful quantitative trading strategies.
- Expertise in statistical modeling, time series analysis, and machine learning algorithms.
- Proficiency in programming languages commonly used in quantitative finance, such as Python, C++, or R.
- Strong understanding of financial markets, derivatives, and trading execution mechanisms.
- Experience with large-scale data analysis and database technologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.
- A deep passion for quantitative finance and a drive for continuous learning.
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7
Lead Quantitative Analyst - Algorithmic Trading Strategies
2001 Southern, Southern
BHD150000 Annually
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly skilled Lead Quantitative Analyst to drive the development and implementation of sophisticated algorithmic trading strategies. This hybrid role will allow you to leverage your expertise in quantitative finance, statistical modeling, and programming to design, backtest, and deploy cutting-edge trading algorithms. You will work closely with portfolio managers, traders, and fellow quants to identify market inefficiencies, develop predictive models, and optimize trading execution. The ideal candidate possesses a strong academic background in a quantitative discipline such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering, coupled with several years of hands-on experience in financial markets. Responsibilities include researching and developing novel quantitative trading ideas, building robust statistical and machine learning models, performing rigorous backtesting and validation, and working with engineering teams to integrate strategies into production trading systems. You will also be responsible for monitoring the performance of live strategies, identifying areas for improvement, and conducting in-depth analysis of market data. This role demands a deep understanding of various asset classes, market microstructure, and risk management principles. The ability to translate complex mathematical concepts into practical trading applications is essential. Collaboration is key, and you will be expected to contribute to a culture of innovation and continuous learning within the quantitative team. While the role offers a hybrid work model, strong communication and collaboration skills are vital for seamless teamwork.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement quantitative trading algorithms across various asset classes.
- Build and validate statistical and machine learning models for market prediction and signal generation.
- Conduct extensive backtesting and performance analysis of trading strategies.
- Collaborate with traders and portfolio managers to refine strategy parameters and objectives.
- Work with software engineers to deploy and integrate trading strategies into live production environments.
- Monitor and analyze the performance of live trading strategies, identifying risks and opportunities.
- Research market microstructure and data patterns to uncover new trading opportunities.
- Stay current with the latest academic research and industry trends in quantitative finance and algorithmic trading.
- Contribute to the team's knowledge base and mentor junior quantitative analysts.
- Ensure adherence to risk management policies and regulatory requirements.
Qualifications:
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- 5+ years of experience in quantitative analysis, algorithmic trading, or a similar role within the financial industry.
- Proficiency in programming languages such as Python, C++, or R, with experience in relevant libraries (e.g., NumPy, Pandas, SciPy, scikit-learn).
- Strong understanding of financial markets, asset classes, and trading strategies.
- Experience with statistical modeling, time series analysis, and machine learning techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work effectively both independently and as part of a collaborative team.
- Strong communication and presentation skills.
- Experience with large datasets and data manipulation techniques.
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8
Senior Quantitative Analyst - Remote Trading Strategies
712 Muharraq, Muharraq
BHD130000 Annually
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking an exceptional Senior Quantitative Analyst to develop and implement sophisticated trading strategies from a fully remote setting. This role is instrumental in driving market performance and uncovering profitable opportunities through advanced data analysis and modeling. The ideal candidate will possess a strong background in mathematics, statistics, computer science, or a related quantitative field, coupled with extensive experience in financial markets. You will be responsible for designing, back-testing, and deploying complex quantitative models for trading across various asset classes. Key responsibilities include identifying predictive patterns in market data, developing algorithms, and optimizing trading strategies to maximize returns while managing risk. This position requires a deep understanding of financial instruments, market microstructure, and statistical modeling techniques, including time-series analysis, machine learning, and econometrics. You will work closely with portfolio managers and traders to translate market insights into actionable trading strategies. Proficiency in programming languages such as Python, R, or C++ is essential, along with experience in utilizing large datasets and high-performance computing environments. A critical aspect of this role involves remote collaboration with a global team of quants, traders, and technologists, requiring excellent communication and interpersonal skills. You must be self-motivated, detail-oriented, and capable of working independently with a high degree of autonomy. This is a unique opportunity to apply your quantitative expertise to shape trading outcomes and contribute to the success of a renowned financial firm, all within a flexible, remote-first work environment. The role will support the firm's global trading operations, offering significant intellectual challenge and career growth.
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