369 Quantitative Modeling jobs in Bahrain
Senior Financial Risk Analyst - Quantitative Modeling
Posted 25 days ago
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Job Description
Key Responsibilities:
- Develop, validate, and implement quantitative models for risk measurement and management (e.g., VaR, CVA, credit scoring models).
- Conduct comprehensive analysis of market data, credit portfolios, and operational risks.
- Perform stress testing and scenario analysis to evaluate the impact of adverse market conditions.
- Monitor and report on key risk exposures and limits, ensuring compliance with regulatory requirements.
- Collaborate with front-office, trading, and portfolio management teams to understand business needs and risk appetite.
- Prepare detailed risk reports and presentations for senior management, board committees, and regulatory bodies.
- Identify emerging risks and recommend appropriate mitigation strategies.
- Contribute to the development and enhancement of risk management frameworks and policies.
- Stay current with industry best practices, regulatory changes, and innovative risk management techniques.
- Mentor junior analysts and provide guidance on quantitative methods and risk analysis.
- Utilize programming languages such as Python, R, or MATLAB for data analysis and model development.
- Master's or Ph.D. in Finance, Economics, Mathematics, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in financial risk management, quantitative analysis, or a similar role.
- Proven expertise in developing and implementing quantitative risk models.
- Strong understanding of financial markets, instruments, and risk types (market, credit, operational).
- Proficiency in statistical software and programming languages (e.g., Python, R, MATLAB, SQL).
- Experience with financial data platforms (e.g., Bloomberg, Refinitiv).
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex quantitative concepts to non-technical audiences.
- Knowledge of regulatory frameworks such as Basel III is highly desirable.
- Ability to work effectively in a team-oriented environment and manage multiple projects simultaneously.
Quantitative Analyst - Financial Modeling
Posted 16 days ago
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Job Description
Key responsibilities include:
- Developing, testing, and validating quantitative models for pricing derivatives, risk management, and portfolio optimization.
- Implementing quantitative strategies in production trading systems.
- Performing statistical analysis and data mining of large financial datasets.
- Collaborating with front-office teams to understand their quantitative needs and translate them into practical solutions.
- Researching and analyzing market trends and macroeconomic factors to inform model development.
- Maintaining and improving existing quantitative models and analytical tools.
- Documenting model methodologies, assumptions, and validation processes thoroughly.
- Staying updated with the latest advancements in quantitative finance, econometrics, and machine learning.
- Communicating complex quantitative concepts clearly and concisely to both technical and non-technical audiences.
Qualifications include a Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative discipline. Proven experience in quantitative finance or a related field is required. Expertise in programming languages such as Python, C++, or R, and experience with financial libraries and databases are essential. A strong understanding of stochastic calculus, time series analysis, and statistical modeling is a must. Familiarity with machine learning techniques applied to finance is a significant plus. Excellent problem-solving skills, a rigorous analytical approach, and the ability to work under pressure in a fast-paced trading environment are crucial. This role requires the candidate to be based in the office in Seef, Capital, BH .
Senior Quantitative Analyst - Financial Modeling
Posted 2 days ago
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Job Description
Senior Quantitative Analyst - Financial Modeling
Posted 2 days ago
Job Viewed
Job Description
As a Senior Quantitative Analyst, you will collaborate closely with portfolio managers, traders, and risk officers to provide data-driven insights and solutions. Your responsibilities will include conducting rigorous statistical analysis of market data, developing predictive models, and back-testing trading strategies. You will also play a key role in assessing and managing financial risks, ensuring compliance with regulatory requirements. This is a remote-first position, requiring excellent analytical, programming, and communication skills for effective collaboration within a distributed team. The successful applicant will be detail-oriented, proactive, and possess a deep understanding of financial instruments and market dynamics. This role offers the opportunity to work on challenging problems with significant impact on the firm's performance.
Key Responsibilities:
- Develop and implement quantitative models for trading, risk management, and portfolio optimization.
- Conduct advanced statistical analysis of financial market data.
- Design, test, and validate trading algorithms and strategies.
- Build and maintain risk assessment models, including VaR and stress testing.
- Collaborate with portfolio managers and traders to identify investment opportunities.
- Quantify and manage various financial risks, including market, credit, and operational risk.
- Ensure models comply with regulatory requirements and internal policies.
- Prepare detailed reports and presentations on model performance and risk analysis.
- Stay abreast of the latest developments in quantitative finance, machine learning, and econometrics.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Economics, or a related quantitative field.
- Minimum of 7 years of experience in quantitative analysis within the financial services industry.
- Proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, R).
- Strong knowledge of financial instruments, derivatives, and market structures.
- Experience with statistical modeling, machine learning techniques, and time series analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey complex technical concepts to non-technical audiences.
- Proven ability to work independently and effectively in a remote team environment.
- Familiarity with financial databases (e.g., Bloomberg, Refinitiv) is a plus.
Senior Quantitative Analyst - Financial Modeling
Posted 2 days ago
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Job Description
Key Responsibilities:
- Develop, implement, and maintain advanced quantitative models for pricing complex financial instruments, risk management, and portfolio optimization.
- Conduct rigorous statistical analysis of large datasets to identify trends, patterns, and insights relevant to financial markets.
- Design and backtest trading strategies based on quantitative research and market analysis.
- Collaborate closely with traders, portfolio managers, and risk managers to understand their needs and translate them into analytical solutions.
- Ensure the accuracy, validity, and robustness of all developed models through comprehensive testing and validation processes.
- Stay abreast of the latest developments in financial theory, econometrics, machine learning, and quantitative finance.
- Prepare detailed reports and presentations to communicate complex findings and recommendations to stakeholders.
- Contribute to the development and improvement of the firm's quantitative infrastructure and tools.
- Monitor market dynamics and regulatory changes that may impact model performance and business operations.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Ensure compliance with all relevant financial regulations and internal policies.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in a quantitative role within the banking or financial services industry.
- Proven expertise in developing and implementing sophisticated financial models (e.g., derivatives pricing, risk models, econometrics).
- Strong programming skills in languages such as Python, R, C++, or similar.
- In-depth knowledge of financial markets, instruments, and trading strategies.
- Experience with statistical software and data analysis tools.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Ability to work independently and manage multiple projects effectively in a remote setting.
- Familiarity with machine learning techniques applied to finance is a plus.
- Detail-oriented with a strong commitment to accuracy and rigor.
This is a premier opportunity for a talented quantitative professional to make a significant impact on our financial strategies and operations, enjoying the benefits of a fully remote position. If you are a data-driven innovator with a passion for quantitative finance, we encourage you to apply.
Senior Quantitative Analyst - Financial Modeling
Posted 2 days ago
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Job Description
Senior Quantitative Analyst - Financial Modeling
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, implement, and validate quantitative models for financial risk management and trading strategies.
- Design and build sophisticated pricing models for various financial derivatives and instruments.
- Perform stress testing, scenario analysis, and backtesting of models.
- Develop and monitor key risk metrics (e.g., VaR, Expected Shortfall).
- Collaborate with traders, portfolio managers, and IT teams to implement analytical solutions.
- Conduct research on new quantitative methodologies and financial products.
- Prepare technical documentation and present findings to stakeholders.
- Ensure compliance with regulatory requirements and internal policies.
- Optimize existing models for performance and accuracy.
- Contribute to the development of the firm's quantitative capabilities.
- Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
- Minimum of 7 years of experience as a Quantitative Analyst or similar role in investment banking or asset management.
- Proven expertise in financial modeling, risk management, and derivatives pricing.
- Strong programming skills in Python, R, C++, or Java.
- In-depth knowledge of financial markets and instruments.
- Excellent analytical, statistical, and problem-solving abilities.
- Strong understanding of numerical methods and statistical techniques.
- Exceptional communication and presentation skills.
- Ability to work independently and collaboratively in a remote team environment.
- Familiarity with regulatory frameworks (e.g., Basel III) is a plus.
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Senior Quantitative Analyst - Financial Modeling
Posted 4 days ago
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Job Description
Responsibilities:
- Develop, implement, and validate quantitative models for pricing, risk management, and trading strategies.
- Build sophisticated financial models using programming languages like Python, R, C++, or MATLAB.
- Conduct rigorous back-testing, validation, and stress-testing of quantitative models.
- Analyze financial market data and identify trends for model development.
- Collaborate with traders, portfolio managers, and risk officers to understand their modeling needs.
- Research and implement new quantitative techniques and methodologies.
- Ensure models comply with regulatory requirements and internal policies.
- Communicate complex quantitative concepts clearly to various stakeholders.
- Contribute to the enhancement of risk management frameworks and processes.
- Stay updated on industry trends, academic research, and regulatory developments.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 6 years of experience in quantitative analysis or financial modeling in the financial industry.
- Proven expertise in developing and validating complex financial models.
- Strong programming skills in Python, R, C++, or MATLAB.
- Deep understanding 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 abilities.
- Strong written and verbal communication skills, with the ability to explain technical concepts.
- Ability to work independently and manage multiple projects in a remote setting.
- Familiarity with financial regulations (e.g., Basel III) is a plus.
Senior Quantitative Analyst - Financial Modeling
Posted 5 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, implement, and validate sophisticated quantitative models for pricing, risk management, and portfolio optimization.
- Conduct in-depth statistical analysis and data mining to identify market trends and opportunities.
- Design and implement algorithms for trading strategies, hedging, and asset allocation.
- Collaborate with traders, portfolio managers, and risk managers to understand their needs and provide analytical solutions.
- Build and maintain robust data pipelines for model inputs and outputs.
- Perform back-testing and stress-testing of financial models to assess performance and stability.
- Contribute to the development of new financial products and services through quantitative insights.
- Stay current with the latest advancements in quantitative finance, machine learning, and financial econometrics.
- Communicate complex quantitative concepts and findings clearly to both technical and non-technical audiences.
- Ensure compliance with regulatory requirements and internal policies.
- Mentor junior quantitative analysts and contribute to the team's technical expertise.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Economics, Computer Science, or a related quantitative field.
- Minimum of 5-7 years of experience in quantitative analysis within the financial services industry.
- Strong proficiency in programming languages such as Python, R, C++, or Java.
- Expertise in statistical modeling, time series analysis, econometrics, and machine learning techniques.
- Deep understanding of financial markets, derivatives, fixed income, and risk management principles.
- Experience with financial databases (e.g., Bloomberg, Refinitiv) and data analysis tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts effectively.
- Proven ability to work independently and manage multiple projects simultaneously in a remote setting.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Knowledge of regulatory frameworks (e.g., Basel III, Dodd-Frank) is beneficial.
Senior Quantitative Analyst - Financial Modeling
Posted 7 days ago
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Job Description
- Developing and implementing advanced quantitative models for financial markets.
- Performing rigorous backtesting and validation of model performance.
- Analyzing large datasets to identify trends and opportunities.
- Contributing to the design and execution of trading strategies.
- Providing quantitative support for risk management and regulatory compliance.
- Collaborating with business units to translate financial needs into quantitative solutions.
- Communicating complex findings and recommendations to senior management.
- Staying current with the latest research and developments in quantitative finance.
- Master's or Ph.D. in a quantitative discipline (Finance, Math, Statistics, Physics, Computer Science).
- 7+ years of experience in quantitative finance, financial modeling, or risk management.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Strong programming skills in Python, R, C++, or Java.
- Experience with financial data providers (e.g., Bloomberg, Refinitiv) and databases.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a remote team environment.
- Superior communication and presentation skills.