172 Quantitative Analyst jobs in Bahrain
Quantitative Risk Analyst - Financial Markets
Posted 2 days ago
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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.
Quantitative Analyst (Quant)
Posted today
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Senior Quantitative Analyst
Posted today
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Lead Quantitative Analyst
Posted today
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Job Description
Key Responsibilities:
- Design, develop, backtest, and deploy complex quantitative models for financial markets, including derivatives pricing, risk assessment, and algorithmic trading.
- Conduct in-depth statistical analysis and data mining of large financial datasets to identify trends, patterns, and trading opportunities.
- Implement quantitative models in production environments using languages such as Python, C++, or R.
- Collaborate with portfolio managers, traders, and risk managers to understand their needs and translate them into quantitative solutions.
- Research and evaluate new methodologies and technologies to enhance existing models and develop innovative strategies.
- Monitor and maintain the performance of deployed models, performing regular recalibrations and updates as necessary.
- Prepare comprehensive documentation for models, methodologies, and results.
- Present complex quantitative findings clearly and concisely to both technical and non-technical audiences.
- Contribute to the development of robust data infrastructure and analytics platforms.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Proven experience (5+ years) in quantitative finance, with a strong focus on model development and implementation.
- Expert proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, R).
- Solid understanding of financial markets, instruments, and derivatives.
- Experience with large-scale data analysis and databases.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a remote, international team environment.
- Familiarity with machine learning techniques applied to finance is a significant advantage.
Lead Quantitative Analyst
Posted today
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Job Description
Senior Quantitative Analyst
Posted today
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Job Description
- Develop, validate, and implement complex quantitative models for pricing, risk management, and trading.
- Perform in-depth data analysis, statistical modeling, and algorithm development.
- Collaborate with front office and risk management teams to identify and address quantitative needs.
- Design and build tools for data analysis, model calibration, and performance monitoring.
- Conduct research into new modeling techniques and financial instruments.
- Ensure the accuracy and robustness of all implemented models.
- Contribute to the development of automated trading strategies and risk systems.
- Prepare technical documentation and present findings to senior management and stakeholders.
- Stay abreast of market developments and regulatory changes impacting quantitative finance.
- Mentor junior quantitative analysts and contribute to the team's technical growth.
- Master's or Ph.D. in Mathematics, Physics, Statistics, Computer Science, Financial Engineering, or a related quantitative discipline.
- Minimum of 5 years of experience in a quantitative role within the financial services industry.
- Proficiency in at least one programming language (Python, R, C++, Java) for quantitative analysis.
- Strong knowledge of financial markets, derivatives, risk management, and asset pricing.
- Experience with statistical modeling, time series analysis, and machine learning techniques.
- Familiarity with databases (SQL) and financial data platforms (e.g., Bloomberg, Refinitiv).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Ability to work effectively in a team-oriented, fast-paced environment.
Senior Quantitative Analyst
Posted today
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Job Description
Responsibilities:
- Design, develop, test, and implement quantitative models for pricing, hedging, and risk management of financial instruments.
- Conduct thorough research and analysis of market data to identify trends, opportunities, and potential risks.
- Collaborate with front-office teams to understand their quantitative needs and provide tailored solutions.
- Develop and maintain efficient code for model calibration, backtesting, and valuation.
- Perform sensitivity analysis and stress testing on portfolios and risk factors.
- Contribute to the development of new financial products and strategies.
- Prepare detailed reports and presentations on model performance, market outlook, and risk assessments for senior management.
- Ensure models comply with regulatory requirements and internal policies.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Stay updated with the latest academic research and industry best practices in quantitative finance.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, or Computer Science.
- Minimum of 5 years of relevant experience in quantitative finance, risk management, or asset management.
- Strong proficiency in programming languages such as Python, C++, or R.
- Deep understanding of financial markets, derivative pricing, and risk management techniques.
- Experience with statistical modeling, time series analysis, and machine learning.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to convey complex quantitative concepts to diverse audiences.
- Familiarity with financial databases (e.g., Bloomberg, Refinitiv) is a plus.
- Ability to work effectively under pressure and meet tight deadlines in a fast-paced environment.
- Detail-oriented with a commitment to accuracy and rigor.
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Senior Quantitative Analyst
Posted today
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Job Description
Key Responsibilities:
- Develop, validate, and implement quantitative models for pricing financial instruments and managing market risk.
- Analyze large and complex datasets to identify trends, patterns, and potential risks and opportunities.
- Build and maintain sophisticated financial models using programming languages such as Python, R, or C++.
- Collaborate with trading desks and portfolio managers to provide quantitative support and insights.
- Contribute to the development of risk management frameworks and methodologies.
- Perform backtesting and stress testing of models to ensure their accuracy and robustness.
- Stay abreast of regulatory changes and market developments impacting quantitative finance.
- Communicate complex quantitative concepts clearly and effectively to both technical and non-technical audiences.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Economics, Financial Engineering, or a related quantitative discipline.
- 5-7 years of experience in a quantitative role within the financial services industry.
- Proven expertise in financial modeling, derivative pricing, and risk management.
- Strong programming skills in Python, R, C++, or similar languages.
- Proficiency with SQL and experience working with large databases.
- Excellent analytical, problem-solving, and quantitative reasoning abilities.
- Familiarity with financial markets, instruments, and regulatory requirements.
- Ability to work independently and as part of a collaborative team in a fast-paced environment.
Senior Quantitative Analyst
Posted today
Job Viewed
Job Description
Responsibilities:
- Develop, implement, and maintain sophisticated quantitative models for risk assessment, pricing, and portfolio optimization.
- Conduct rigorous back-testing and validation of models to ensure accuracy and reliability.
- Analyze large datasets to identify trends, patterns, and potential risks.
- Collaborate with traders, portfolio managers, and risk officers to understand business needs and translate them into quantitative solutions.
- Stay abreast of regulatory changes and ensure models comply with relevant industry standards (e.g., Basel III, Solvency II).
- Develop and present clear documentation of models, methodologies, and results to senior management and regulatory bodies.
- Utilize programming languages such as Python, R, or C++ for model development and implementation.
- Monitor market conditions and their impact on model performance.
- Mentor junior quantitative analysts and contribute to the team's technical expertise.
- Identify opportunities for model enhancement and innovation.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 7 years of experience in quantitative analysis, risk management, or a related role within the financial services industry.
- Strong expertise in financial modeling, statistical analysis, and stochastic calculus.
- Proficiency in programming languages commonly used in quantitative finance (e.g., Python, R, C++).
- Experience with financial risk management frameworks and regulatory requirements.
- 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 effectively in a hybrid team environment, balancing remote and in-office responsibilities.
- Experience with data visualization tools is a plus.
Lead Quantitative Analyst
Posted today
Job Viewed
Job Description
Responsibilities:
- Develop, backtest, and implement sophisticated quantitative models for trading, risk management, and pricing.
- Conduct in-depth statistical analysis of financial data to identify trends, patterns, and anomalies.
- Design and build robust data pipelines and analytical frameworks.
- Collaborate with business stakeholders to understand their needs and translate them into quantitative solutions.
- Mentor and guide junior quantitative analysts, fostering their technical and analytical development.
- Present complex analytical findings and recommendations to senior management and trading teams.
- Stay abreast of the latest academic research and industry best practices in quantitative finance.
- Ensure the accuracy, efficiency, and scalability of developed models and systems.
- Contribute to the strategic direction of the firm's quantitative capabilities.
- Manage project timelines and deliverables for quantitative research initiatives.