949 Quantitative Analyst jobs in Bahrain
Quantitative Analyst - Financial Markets
Posted 4 days ago
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Job Description
Responsibilities:
- Develop, test, and implement quantitative models for pricing financial derivatives.
- Design and optimize trading algorithms and strategies.
- Perform statistical analysis and data mining on market data to identify trends and opportunities.
- Conduct research into new modeling techniques and financial instruments.
- Collaborate with traders, portfolio managers, and risk managers to understand their needs and provide analytical support.
- Build and maintain robust data pipelines and analytical tools.
- Monitor model performance and conduct regular backtesting and validation.
- Quantify and manage various financial risks.
- Contribute to the development of risk reporting frameworks.
- Stay abreast of regulatory changes and their impact on modeling.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Proven experience in quantitative finance, financial modeling, or algorithmic trading.
- Advanced proficiency in programming languages such as Python, C++, or R.
- Strong knowledge of stochastic calculus, time series analysis, and statistical modeling.
- Experience with financial data providers (e.g., Bloomberg, Refinitiv).
- Familiarity with various financial instruments (equities, fixed income, derivatives).
- Excellent problem-solving and critical thinking skills.
- Ability to work independently and as part of a collaborative team.
- Strong attention to detail and commitment to accuracy.
- Excellent communication skills to explain complex concepts to non-technical stakeholders.
Senior Quantitative Analyst - Financial Markets
Posted 3 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement quantitative trading strategies and models using statistical and machine learning techniques.
- Conduct rigorous backtesting and performance analysis of trading algorithms.
- Develop and maintain risk management systems and models to monitor and control portfolio risk.
- Build and optimize pricing models for complex financial derivatives.
- Analyze large datasets of market data to identify patterns, trends, and trading opportunities.
- Collaborate closely with portfolio managers and traders to provide quantitative insights and support investment decisions.
- Develop and maintain robust code in languages such as Python, R, or C++.
- Stay abreast of the latest academic research and industry developments in quantitative finance.
- Document methodologies, research findings, and system designs thoroughly.
- Ensure the integrity and accuracy of quantitative models and data used.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, Computer Science, or Engineering.
- Minimum of 5 years of experience in quantitative analysis, financial modeling, or algorithmic trading.
- Proven expertise in statistical modeling, time series analysis, and machine learning.
- Strong programming skills in Python, R, C++, or similar languages.
- In-depth knowledge of financial markets, instruments, and trading strategies.
- Experience with large-scale data analysis and database management.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.
- Ability to work independently and collaboratively in a remote team environment.
Senior Quantitative Analyst (Financial Markets)
Posted 4 days ago
Job Viewed
Job Description
Senior Quantitative Analyst - Financial Markets
Posted 4 days ago
Job Viewed
Job Description
Senior Quantitative Analyst - Financial Markets
Posted 4 days ago
Job Viewed
Job Description
The ideal candidate will possess a deep theoretical understanding of quantitative finance, coupled with strong programming skills and practical experience in applying these concepts to real-world financial problems. You will be adept at statistical analysis, time-series modeling, machine learning, and numerical methods. This position requires a rigorous analytical mindset, meticulous attention to detail, and the ability to translate complex mathematical concepts into actionable trading insights and robust risk management frameworks. You will work collaboratively with traders, portfolio managers, and risk officers to drive strategic decision-making and enhance profitability.
Key Responsibilities:
- Develop, implement, and backtest quantitative models for pricing financial instruments, hedging, and risk management.
- Design and optimize trading algorithms and strategies across various asset classes.
- Conduct in-depth statistical analysis of market data to identify patterns, trends, and trading opportunities.
- Utilize advanced machine learning techniques for predictive modeling and anomaly detection.
- Validate model assumptions, performance, and robustness through rigorous testing and simulation.
- Collaborate with trading desks and risk management teams to implement and refine quantitative solutions.
- Communicate complex quantitative concepts and results clearly to both technical and non-technical audiences.
- Stay abreast of the latest academic research and industry best practices in quantitative finance.
- Contribute to the development of the firm's quantitative infrastructure and data pipelines.
- Ensure compliance with regulatory requirements and internal risk policies.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or Economics.
- Minimum of 5 years of progressive experience in quantitative analysis within the financial services industry.
- Expertise in financial modeling, stochastic calculus, time-series analysis, and statistical inference.
- Proficiency in programming languages commonly used in quantitative finance, such as Python (with libraries like NumPy, SciPy, Pandas, Scikit-learn), R, C++, or MATLAB.
- Experience with pricing derivatives and managing market risk.
- Strong understanding of financial markets and various asset classes (equities, fixed income, FX, derivatives).
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work independently and as part of a global, remote team.
- Strong communication and presentation skills.
- Familiarity with big data technologies and cloud computing platforms is a plus.
This is an exceptional opportunity to leverage your quantitative expertise in a challenging and rewarding remote role, contributing to the success of a leading financial firm. If you are a passionate quant with a drive for innovation, we encourage you to apply and help shape the future of financial markets. This position is based in **Manama, Capital, BH**, but is fully remote.
Senior Quantitative Analyst - Financial Markets
Posted 4 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, test, and implement quantitative models for trading strategies, risk management, and portfolio optimization.
- Conduct advanced statistical and econometric analysis of financial market data.
- Design and perform rigorous backtesting and performance evaluation of trading algorithms.
- Utilize machine learning techniques for forecasting, pattern recognition, and strategy development.
- Collaborate with traders and portfolio managers to translate quantitative research into actionable trading strategies.
- Analyze market microstructure and develop solutions to optimize trade execution.
- Develop and maintain risk management systems and models.
- Stay current with academic research and industry trends in quantitative finance.
- Present complex quantitative concepts and results to both technical and non-technical audiences.
- Contribute to the firm's intellectual property and research pipeline.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5-7 years of experience in quantitative analysis within financial markets.
- Proven expertise in developing and implementing quantitative trading models and algorithms.
- Strong proficiency in programming languages such as Python, R, C++, or Java.
- In-depth knowledge of statistical modeling, time-series analysis, and machine learning techniques.
- Solid understanding of financial markets, derivatives, and portfolio theory.
- Experience with large datasets and data analysis tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex topics clearly.
- Ability to work independently and collaboratively in a remote team environment.
Senior Quantitative Analyst (Financial Markets)
Posted 4 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, test, and deploy quantitative models for trading algorithms, risk management, and portfolio construction.
- Analyze large datasets to identify market patterns, correlations, and trading opportunities.
- Implement and backtest trading strategies using historical and real-time market data.
- Develop tools and frameworks for risk assessment, VaR calculations, and stress testing.
- Collaborate with traders and portfolio managers to understand their needs and translate them into quantitative solutions.
- Ensure the accuracy, robustness, and efficiency of implemented models.
- Stay current with the latest advancements in quantitative finance, econometrics, machine learning, and programming techniques.
- Optimize trading execution and portfolio allocation based on quantitative analysis.
- Communicate complex quantitative concepts and model results clearly to non-technical stakeholders.
- Develop and maintain high-quality code in languages such as Python, R, C++, or Java.
- Monitor model performance and implement necessary adjustments or improvements.
- Contribute to the firm's research and development efforts in quantitative finance.
- Ensure compliance with regulatory requirements and internal risk policies.
- Automate data collection, processing, and reporting tasks.
- Explore new data sources and analytical techniques to enhance predictive power and alpha generation.
- 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 experience in quantitative analysis, financial modeling, or algorithmic trading within the financial industry.
- Strong programming skills in Python, R, C++, or Java, with experience in data manipulation and scientific computing libraries.
- In-depth knowledge of financial markets, instruments (equities, fixed income, derivatives), and trading strategies.
- Proven experience in statistical modeling, time series analysis, machine learning, and econometrics.
- Expertise in data analysis, data mining, and working with large datasets.
- Strong understanding of risk management principles and techniques.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Ability to work independently, manage multiple projects, and meet demanding deadlines in a remote environment.
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts.
- Experience with SQL and database management is desirable.
- Familiarity with cloud computing platforms (e.g., AWS, Azure) for data analysis is a plus.
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Senior Quantitative Analyst - Financial Markets
Posted 4 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, implement, and maintain quantitative models for pricing, risk management, and trading strategies.
- Analyze large datasets from financial markets to identify patterns, trends, and investment opportunities.
- Conduct rigorous backtesting and performance evaluation of trading algorithms and models.
- Collaborate with portfolio managers and traders to translate financial theories into practical trading strategies.
- Design and build tools and platforms for data analysis, risk assessment, and portfolio optimization.
- Ensure the accuracy, reliability, and efficiency of quantitative models and systems.
- Stay abreast of the latest developments in quantitative finance, econometrics, and computational methods.
- Communicate complex quantitative concepts and results clearly to both technical and non-technical stakeholders.
- Contribute to the firm's research efforts and the development of new financial products.
- Adhere to all regulatory requirements and internal risk management policies.
- Master's or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 5 years of experience in quantitative analysis, financial modeling, or trading strategy development within the financial industry.
- Proven expertise in statistical modeling, time series analysis, and stochastic calculus.
- Strong programming skills in languages such as Python (with libraries like NumPy, Pandas, SciPy), R, C++, or MATLAB.
- In-depth knowledge of financial markets, instruments, and trading strategies.
- Experience with big data technologies and cloud platforms (e.g., AWS, Azure) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex models effectively.
- Ability to work independently, manage multiple projects, and meet tight deadlines in a remote setting.
- A strong sense of intellectual curiosity and a passion for financial markets.
Remote Senior Quantitative Analyst - Financial Markets
Posted 4 days ago
Job Viewed
Job Description
Key Responsibilities:
- Develop, test, and deploy quantitative models for pricing financial derivatives, portfolio optimization, and risk assessment.
- Design and implement algorithmic trading strategies, including backtesting and performance analysis.
- Conduct rigorous statistical and econometric analysis of market data to identify trading opportunities and risk exposures.
- Collaborate closely with traders, portfolio managers, and risk managers to understand their needs and provide quantitative insights.
- Write high-quality, production-ready code in languages such as Python, C++, or R.
- Stay abreast of the latest academic research and industry trends in quantitative finance.
- Contribute to the development of cutting-edge financial technologies and platforms.
- Ensure compliance with regulatory requirements and internal policies.
- Document models, methodologies, and trading strategies thoroughly.
- Present complex quantitative findings clearly and concisely to both technical and non-technical audiences.
This is a fully remote position, requiring exceptional analytical capabilities, strong programming skills, and the ability to work autonomously while collaborating effectively in a virtual team setting. A Master's or PhD in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science is required. Proven experience in financial modeling and a deep understanding of financial markets are essential. This role supports our client's operations remotely, contributing to their strategic financial decisions within the Seef, Capital, BH market. We are looking for a top-tier talent passionate about applying advanced quantitative techniques to solve complex financial problems from anywhere.
Quantitative Risk Analyst - Financial Markets
Posted 4 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, implement, and validate quantitative models for market risk, credit risk, and operational risk assessment.
- Analyze large datasets of financial market data to identify risk exposures and trends.
- Design and implement risk metrics and Key Risk Indicators (KRIs).
- Conduct stress testing and scenario analysis to evaluate portfolio resilience under adverse market conditions.
- Contribute to regulatory compliance initiatives by providing quantitative support for reporting and capital adequacy assessments.
- Collaborate with traders, portfolio managers, and business lines to understand risk drivers and communicate findings.
- Develop and maintain documentation for all models and methodologies used.
- Automate risk reporting processes and enhance data quality controls.
- Stay abreast of industry best practices, regulatory changes, and emerging risk management techniques.
- Present complex quantitative findings to senior management and non-technical audiences.
- Contribute to the development of risk management policies and procedures.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
- Proven experience (3+ years) in quantitative risk management within the banking or financial services industry.
- Strong understanding of financial markets, derivative instruments, and asset pricing.
- Expertise in statistical modeling, time series analysis, and econometric techniques.
- Proficiency in programming languages commonly used in quantitative finance, such as Python (NumPy, SciPy, Pandas), R, or MATLAB.
- Experience with SQL and database management.
- Knowledge of risk management frameworks (e.g., Basel Accords) and regulatory requirements is essential.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Experience with risk management software and platforms is a plus.