14 Actuarial Science jobs in Bahrain
Senior Quantitative Analyst - Financial Modeling
Posted today
Job Viewed
Job Description
Responsibilities:
- Develop, implement, and backtest sophisticated quantitative models for trading strategies, risk management, and portfolio optimization.
- Conduct in-depth statistical analysis of market data to identify trading opportunities and price anomalies.
- Design and build robust, high-performance trading algorithms and execution systems.
- Collaborate with portfolio managers and traders to understand their needs and translate them into quantitative solutions.
- Perform rigorous validation of models, assessing their performance, stability, and potential risks.
- Maintain and enhance existing quantitative models and systems.
- Utilize advanced programming languages (e.g., Python, C++, R) and quantitative libraries for model development and implementation.
- Stay current with the latest research in quantitative finance, machine learning, and econometrics.
- Contribute to the firm's research efforts and potentially publish findings or present at industry conferences.
- Ensure compliance with regulatory requirements and internal risk policies.
- Work effectively in a fully remote team, communicating complex ideas clearly and concisely.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Physics, Statistics, Computer Science, or Economics.
- Minimum of 7 years of experience in quantitative analysis, financial modeling, or algorithmic trading, preferably within investment banking or hedge funds.
- Proven expertise in developing and implementing statistical and machine learning models for financial applications.
- Strong proficiency in programming languages commonly used in quant finance, such as Python (with libraries like NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch) and/or C++.
- Deep understanding of financial markets, derivatives, asset pricing, and risk management principles.
- Experience with large datasets and data analysis techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently, manage multiple projects, and meet tight deadlines in a remote setting.
- Strong written and verbal communication skills, with the ability to articulate complex quantitative concepts to both technical and non-technical audiences.
- Experience with backtesting platforms and financial databases (e.g., Bloomberg, Refinitiv) is highly desirable.
Senior Quantitative Analyst - Financial Modeling
Posted 1 day ago
Job Viewed
Job Description
Key Responsibilities:
- Develop, test, and deploy sophisticated quantitative financial models.
- Conduct in-depth statistical and econometric analysis of market data.
- Design and implement algorithms for risk management, pricing, and trading.
- Validate model performance and conduct back-testing.
- Collaborate with business units to define modeling requirements and deliver solutions.
- Stay abreast of regulatory changes and their impact on financial modeling.
- Create clear and concise documentation for all developed models.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Present complex analytical findings to stakeholders effectively.
- Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering.
- Minimum of 6 years of experience in quantitative analysis or financial modeling.
- Strong programming skills in Python, R, C++, or similar languages.
- In-depth knowledge of financial markets, derivatives, and risk management techniques.
- Proven experience with statistical modeling and machine learning techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication abilities.
Senior Quantitative Analyst - Financial Modeling
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Develop, implement, and backtest complex quantitative models for financial applications, including derivatives pricing, risk management, and algorithmic trading.
- Validate and review existing models to ensure accuracy, robustness, and compliance with regulatory requirements.
- Analyze large datasets to identify patterns, trends, and insights relevant to financial markets.
- Collaborate with traders, portfolio managers, and risk officers to understand their needs and provide quantitative solutions.
- Work closely with IT and development teams to integrate quantitative models into production systems.
- Stay current with the latest advancements in quantitative finance, machine learning, and programming techniques.
- Prepare documentation for models, methodologies, and results.
- Communicate complex quantitative concepts clearly to both technical and non-technical stakeholders.
- Contribute to the firm's quantitative research and development efforts.
- Ensure models comply with all relevant internal policies and external regulations.
- Master's degree or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Physics, Statistics, Computer Science, or Economics.
- Minimum of 5 years of experience in quantitative finance, financial modeling, or a related role.
- Strong theoretical knowledge of financial markets, derivatives, and risk management.
- Expertise in statistical modeling, time series analysis, and econometrics.
- Proficiency in programming languages such as Python, C++, R, or MATLAB.
- Experience with financial databases and data analysis tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex concepts.
- Ability to work independently and manage multiple projects in a fully remote environment.
- Familiarity with machine learning techniques applied to finance is a plus.
Senior Quantitative Analyst - Financial Modeling
Posted 3 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, implement, and validate quantitative models for financial risk, pricing, and trading strategies.
- Conduct rigorous statistical analysis and data mining on large financial datasets.
- Perform Monte Carlo simulations and other stochastic modeling techniques.
- Implement and optimize algorithms using programming languages such as Python, R, or C++.
- Collaborate with trading desks, portfolio management, and risk departments to understand requirements and provide analytical support.
- Ensure the accuracy, reliability, and regulatory compliance of all developed models.
- Contribute to the development of new financial products and strategies.
- Prepare comprehensive documentation and presentations of model methodologies and results.
- Stay current with advancements in quantitative finance, econometrics, and machine learning.
- Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, Economics, or a related quantitative field.
- Minimum of 6 years of experience in quantitative analysis within the financial services industry.
- Strong theoretical and practical knowledge of financial markets, derivatives, and asset pricing.
- Expertise in statistical modeling, econometrics, and numerical methods.
- Proficiency in programming languages such as Python (NumPy, SciPy, Pandas), R, or C++.
- Experience with financial databases (e.g., Bloomberg, Refinitiv) is desirable.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work effectively in a hybrid work environment and collaborate with diverse teams.
Senior Quantitative Analyst - Financial Modeling
Posted 3 days ago
Job Viewed
Job Description
The Senior Quantitative Analyst will be responsible for developing, implementing, and maintaining complex financial models for risk management, pricing, and trading strategies. You will delve into vast amounts of financial data, utilizing advanced statistical and mathematical techniques to derive actionable insights and inform critical business decisions. This role requires a profound understanding of financial markets, derivatives, econometrics, and programming languages commonly used in quantitative finance.
Key responsibilities include:
- Develop and validate sophisticated financial models for pricing derivatives, portfolio management, and risk assessment.
- Conduct rigorous quantitative research and analysis on market trends and instruments.
- Implement and backtest trading strategies based on quantitative models.
- Collaborate with traders, portfolio managers, and risk managers to provide analytical support.
- Ensure the accuracy, robustness, and regulatory compliance of all developed models.
- Write efficient and well-documented code in languages such as Python, R, or C++.
- Present complex quantitative findings to both technical and non-technical audiences.
- Stay abreast of the latest developments in quantitative finance and financial technology.
- Contribute to the continuous improvement of the firm's quantitative capabilities.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.
- 5+ years of experience in quantitative analysis, financial modeling, or a related role within the financial industry.
- Strong proficiency in programming languages like Python, R, C++, or MATLAB.
- Deep understanding of financial markets, derivatives, asset pricing, and risk management techniques.
- Experience with statistical modeling, econometrics, and machine learning algorithms.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to convey complex information clearly.
- Ability to work effectively in a hybrid environment, balancing independent work with team collaboration.
Senior Quantitative Analyst - Financial Modeling
Posted 3 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, test, and implement quantitative models for pricing, risk management, and trading across various asset classes (e.g., equities, fixed income, derivatives).
- Analyze large datasets to identify patterns, correlations, and insights relevant to financial markets.
- Collaborate with traders, portfolio managers, and risk managers to understand their needs and translate them into quantitative solutions.
- Perform back-testing and validation of models to ensure their accuracy and effectiveness.
- Contribute to the research and development of new quantitative methodologies and strategies.
- Write clean, efficient, and well-documented code in languages such as Python, C++, or R.
- Monitor the performance of existing models and make necessary adjustments or enhancements.
- Present complex quantitative concepts and findings to both technical and non-technical audiences.
- Ensure compliance with regulatory requirements and internal policies.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Stay abreast of the latest advancements in quantitative finance, machine learning, and data science.
- Develop and maintain documentation for all models and methodologies.
- Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Minimum of 5 years of relevant experience in quantitative analysis or financial modeling within the banking or finance sector.
- Strong proficiency in programming languages commonly used in quantitative finance, such as Python (NumPy, Pandas, SciPy), C++, or R.
- Expertise in statistical modeling, time series analysis, stochastic calculus, and machine learning techniques.
- Solid understanding of financial markets, instruments, and trading strategies.
- Experience with large-scale data manipulation and analysis.
- Excellent problem-solving skills and the ability to think critically and abstractly.
- Strong communication and presentation skills, with the ability to explain complex models clearly.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is beneficial.
- Ability to work independently and as part of a global, remote team.
Senior Quantitative Analyst - Financial Modeling
Posted 3 days ago
Job Viewed
Job Description
- Develop, implement, and backtest quantitative models for financial products.
- Perform statistical analysis and data mining on large financial datasets.
- Build and validate models for pricing derivatives, risk assessment, and algorithmic trading.
- Collaborate with front-office and risk management teams to understand requirements and deliver solutions.
- Research and implement new quantitative methodologies and financial instruments.
- Ensure the accuracy, robustness, and compliance of developed models.
- Document model methodologies, assumptions, and limitations thoroughly.
- Stay updated on market trends, regulatory changes, and advancements in quantitative finance.
- Contribute to the firm's trading strategies and risk management frameworks.
- Communicate complex quantitative concepts clearly to diverse stakeholders.
- Mentor junior quantitative analysts.
- Assist in the development and maintenance of quantitative libraries and tools.
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Senior Quantitative Analyst - Financial Modeling
Posted 3 days ago
Job Viewed
Job Description
Qualifications:
- Master's degree or Ph.D. in Quantitative Finance, Mathematics, Statistics, Economics, or a related field.
- Minimum of 6 years of experience in quantitative analysis, financial modeling, or risk management within the financial industry.
- Proficiency in Python, R, C++, or similar programming languages.
- Deep understanding of financial markets, derivatives pricing, and risk management techniques.
- Experience with large datasets and databases (e.g., SQL).
- Excellent analytical, problem-solving, and communication skills.
- Ability to explain complex quantitative concepts to non-technical audiences.
- Experience with machine learning techniques applied to finance is a plus.
- Familiarity with regulatory frameworks like Basel III or Dodd-Frank.
Remote Lead Quantitative Analyst - Financial Modeling & Risk Management
Posted 1 day ago
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Job Description
Senior Risk Assessment Analyst
Posted today
Job Viewed
Job Description
Responsibilities:
- Conduct comprehensive analysis of market trends, economic indicators, and competitor activities to identify emerging risks.
- Develop and refine complex statistical models to quantify risk exposure and predict potential losses.
- Collaborate with underwriting teams to set appropriate pricing strategies and policy terms based on risk assessments.
- Prepare detailed reports and presentations for senior management, outlining risk profiles, mitigation strategies, and recommendations.
- Monitor and analyze portfolio performance to ensure alignment with risk appetite and regulatory requirements.
- Stay abreast of industry best practices, regulatory changes, and technological advancements in risk management.
- Mentor junior analysts and foster a culture of continuous learning and improvement within the risk assessment department.
- Contribute to the development and implementation of new risk management frameworks and tools.
- Effectively communicate complex risk concepts to non-technical stakeholders across various departments.
- Ensure compliance with all relevant local and international insurance regulations.
- Master's degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field.
- A minimum of 5 years of progressive experience in risk management, actuarial science, or quantitative analysis within the insurance industry.
- Proven expertise in statistical modeling, data analysis, and risk assessment methodologies.
- Proficiency in programming languages such as Python or R, and experience with data visualization tools.
- Strong understanding of insurance products, underwriting principles, and financial markets.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills, with the ability to present complex information clearly and concisely.
- Demonstrated ability to work independently and collaboratively in a remote environment.
- Familiarity with regulatory frameworks such as Solvency II is a plus.
- Proven track record of successfully managing multiple projects and deadlines.