71 Actuarial Science jobs in Bahrain
Lead Actuary - Financial Modeling
Posted 6 days ago
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Job Description
Key Responsibilities:
- Lead the development and validation of actuarial models.
- Perform complex pricing, reserving, and capital modeling.
- Analyze insurance data and identify key trends and risks.
- Mentor and guide a team of actuarial professionals.
- Ensure compliance with regulatory requirements and accounting standards.
- Communicate actuarial findings to stakeholders, including senior management.
- Develop and implement actuarial best practices and methodologies.
- Contribute to strategic business planning and decision-making.
- Enhance data quality and modeling efficiency.
- Stay current with industry advancements and emerging risks.
Quantitative Analyst - Financial Modeling
Posted 6 days ago
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Job Description
Key responsibilities include:
- Developing and implementing quantitative models for financial instruments and risk management.
- Performing rigorous testing and validation of model performance, identifying and mitigating potential weaknesses.
- Collaborating with traders, portfolio managers, and risk officers to understand their needs and provide data-driven insights.
- Writing clean, efficient, and well-documented code for model implementation and data analysis.
- Analyzing large financial datasets to identify patterns, correlations, and potential trading opportunities.
- Staying updated on the latest developments in financial engineering, econometrics, and quantitative finance.
- Preparing clear and concise reports and presentations on model results and their implications for the business.
- Ensuring all models adhere to internal policies and external regulatory requirements.
- Contributing to the development of new analytical tools and methodologies.
- Troubleshooting and maintaining existing models, ensuring their continued accuracy and reliability.
Senior Quantitative Analyst - Financial Modeling
Posted 1 day ago
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Job Description
Responsibilities:
- Develop, implement, and validate sophisticated quantitative models for pricing derivatives, assessing market risk, credit risk, and operational risk.
- Design and build algorithmic trading strategies, backtesting them rigorously against historical data.
- Perform statistical analysis of large financial datasets to identify market trends, correlations, and opportunities.
- Contribute to the development of stress testing scenarios and economic capital modeling.
- Collaborate with traders, portfolio managers, and risk managers to understand their modeling needs and provide solutions.
- Implement models in production environments using high-performance programming languages.
- Maintain and enhance existing financial models, ensuring accuracy and compliance with regulatory requirements.
- Research and evaluate new quantitative techniques and technologies applicable to financial modeling.
- Prepare clear and concise documentation for models, methodologies, and results.
- Present findings and recommendations to senior management and trading desks.
- Ensure adherence to all internal policies and external regulations governing financial modeling and risk management.
- Mentor junior quantitative analysts and contribute to the team's technical development.
- Stay informed about market developments, regulatory changes, and industry best practices.
- Participate in model validation and review processes.
- Master's degree 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 finance, with a strong focus on model development and implementation.
- Expertise in stochastic calculus, time series analysis, econometrics, and statistical modeling.
- Proficiency in programming languages commonly used in quantitative finance, such as Python, C++, R, or MATLAB.
- Experience with financial modeling software and platforms.
- Deep understanding of financial markets, instruments, and derivatives pricing.
- Proven ability to develop robust and efficient algorithms.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
- Ability to work effectively both independently and as part of a collaborative team in a hybrid environment.
- Experience with large-scale data manipulation and database management is a plus.
- Knowledge of machine learning techniques applied to finance is desirable.
Senior Quantitative Analyst - Financial Modeling
Posted 1 day ago
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Job Description
The ideal candidate will possess a Master's or Ph.D. in a quantitative discipline such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering. A minimum of 4 years of relevant experience in a quantitative finance role is required. Strong proficiency in programming languages such as Python, C++, or Java is essential, along with experience in financial libraries and frameworks. Expertise in statistical modeling, time-series analysis, stochastic calculus, and numerical methods is mandatory. Experience with large datasets and database management (SQL) is also necessary. The ability to translate complex analytical results into clear, concise business recommendations is crucial. This position demands exceptional analytical and problem-solving skills, a rigorous approach to research, and a keen understanding of financial markets.
You will be working in a fast-paced environment, contributing to high-impact projects that directly influence the firm's trading and risk management operations. The role involves continuous learning and adaptation to evolving market conditions and regulatory landscapes. We are looking for a highly motivated individual with a strong work ethic and the ability to thrive under pressure. The ability to work effectively in a team, communicate clearly with stakeholders across different departments, and take ownership of projects is vital. This is an exceptional opportunity for a talented quant to advance their career within a reputable financial organization. We are committed to fostering a challenging and rewarding work environment that encourages professional growth and development. Join us and be part of a team that drives innovation in financial markets.
Senior Quantitative Analyst, Financial Modeling
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, build, test, and deploy quantitative models for derivatives pricing, risk assessment (market risk, credit risk), and algorithmic trading strategies.
- Develop and maintain robust back-testing frameworks for model validation and performance evaluation.
- Analyze market data, economic indicators, and proprietary information to identify trends and opportunities.
- Collaborate with front-office and risk management teams to understand business needs and translate them into quantitative solutions.
- Implement models in production environments using high-performance computing languages (e.g., C++, Python).
- Perform sensitivity analysis, stress testing, and scenario modeling to assess model robustness under various market conditions.
- Document model methodologies, assumptions, and implementation details thoroughly.
- Stay current with the latest advancements in quantitative finance, machine learning, and data science.
- Present complex findings and recommendations to senior management and stakeholders in a clear and concise manner.
- Ensure compliance with regulatory requirements and internal risk policies.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- 5+ years of relevant experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
- Strong proficiency in programming languages like Python, C++, R, or Java.
- Expertise in numerical methods, stochastic calculus, statistical modeling, and machine learning techniques.
- Deep understanding of financial instruments, market microstructure, and regulatory frameworks.
- Experience with large-scale data analysis and database technologies (SQL, NoSQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
- Proven ability to work independently and as part of a team in a fast-paced environment.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
Senior Quantitative Analyst - Financial Modeling
Posted 3 days ago
Job Viewed
Job Description
Key Responsibilities:
- Develop, implement, and backtest sophisticated quantitative models for pricing exotic derivatives, credit risk, market risk, and operational risk.
- Perform rigorous statistical analysis and validation of existing models to ensure accuracy, robustness, and compliance with regulatory standards.
- Collaborate with traders, portfolio managers, and risk managers to understand business needs and translate them into quantitative modeling requirements.
- Design and develop algorithms for trading strategies, portfolio optimization, and risk hedging.
- Generate detailed documentation for all models, including assumptions, methodologies, and validation results.
- Stay abreast of the latest advancements in quantitative finance, machine learning, and computational finance.
- Communicate complex quantitative concepts and findings clearly and concisely to both technical and non-technical audiences.
- Contribute to the development of new financial products and the enhancement of existing ones through quantitative insights.
- Ensure compliance with relevant financial regulations (e.g., Basel III, IFRS 9) and internal policies.
- Mentor junior quantitative analysts and contribute to the team's knowledge sharing and development.
- Work with IT teams to ensure the efficient implementation and deployment of quantitative models into production environments.
- Participate in internal and external model validation reviews.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Financial Engineering, Computer Science, or a related quantitative field.
- A minimum of 6 years of experience in quantitative analysis, financial modeling, or a related role within the financial services industry.
- Strong programming skills in languages such as Python, R, C++, or Java.
- Extensive experience with statistical modeling, time series analysis, and machine learning techniques.
- Deep understanding of financial markets, derivatives pricing, and risk management principles.
- Proven ability to develop and validate complex mathematical models.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts effectively.
- Experience with data visualization tools and techniques.
- Knowledge of regulatory frameworks impacting financial institutions is highly desirable.
Senior Quantitative Analyst (Financial Modeling)
Posted 4 days ago
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Job Description
The successful candidate will be responsible for designing, building, validating, and maintaining a wide range of quantitative models, including but not limited to, pricing models for derivatives, risk models (market, credit, operational), and asset allocation models. You will work closely with traders, portfolio managers, and risk officers to understand their needs and provide data-driven insights and solutions. This involves translating business problems into quantitative frameworks and communicating complex findings clearly and concisely to both technical and non-technical stakeholders.
Key responsibilities include:
- Developing, testing, and deploying quantitative models for financial markets.
- Performing rigorous back-testing and validation of model performance.
- Implementing models using programming languages such as Python, C++, or R.
- Analyzing large datasets to identify trends, patterns, and opportunities.
- Collaborating with business units to gather requirements and provide analytical support.
- Ensuring compliance with regulatory requirements and internal policies.
- Contributing to the continuous improvement of modeling infrastructure and methodologies.
- Researching and evaluating new quantitative techniques and technologies.
The ideal candidate will possess exceptional problem-solving abilities, a keen eye for detail, and the capacity to work independently as well as part of a team. Strong communication skills are necessary to effectively present complex analyses and recommendations. Experience in a banking or investment management environment is preferred.
This is an unparalleled opportunity to leverage your quantitative expertise in a challenging and rewarding environment within the financial sector. Join our esteemed organization and play a pivotal role in shaping financial strategies from our offices located in Janabiyah, Northern, BH .
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Senior Quantitative Analyst - Financial Modeling
Posted 5 days ago
Job Viewed
Job Description
- Develop, implement, and maintain quantitative models for financial markets.
- Design and validate models for derivative pricing, risk management, and portfolio optimization.
- Conduct in-depth statistical analysis and econometric modeling of financial data.
- Utilize programming languages (Python, R, C++) and database tools to manipulate and analyze large datasets.
- Collaborate with business stakeholders to understand requirements and deliver effective quantitative solutions.
- Perform back-testing and stress-testing of models to ensure their accuracy and robustness.
- Contribute to the development of new financial products and trading strategies.
- Mentor and guide junior quantitative analysts.
- Stay current with the latest research and developments in quantitative finance and data science.
- Prepare reports and presentations to communicate complex findings to both technical and non-technical audiences.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Computer Science.
- Minimum of 7 years of experience as a Quantitative Analyst or in a similar role within the financial industry.
- Proven expertise in financial modeling, statistical analysis, and econometrics.
- Strong programming skills in Python, R, or C++.
- Experience with databases and data manipulation techniques.
- Deep understanding of financial markets, derivatives, and risk management principles.
- Familiarity with machine learning techniques is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities, effective for remote collaboration.
Senior Quantitative Analyst - Financial Modeling
Posted 6 days ago
Job Viewed
Job Description
Key Responsibilities:
- Develop, implement, and validate quantitative models for financial instruments, risk management, and trading strategies.
- Perform complex statistical analysis and simulations on market data.
- Design and code algorithms for pricing, hedging, and portfolio optimization.
- Conduct rigorous backtesting and stress testing of models to assess performance and robustness.
- Ensure model compliance with regulatory frameworks (e.g., Basel III, Dodd-Frank).
- Collaborate with front-office and IT teams to integrate models into production systems.
- Research and explore new quantitative techniques and financial technologies.
- Document model methodologies, assumptions, and results clearly and comprehensively.
- Assist in monitoring and managing model risk throughout its lifecycle.
- Stay abreast of market developments and evolving regulatory landscapes.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 5 years of experience as a Quantitative Analyst in investment banking, asset management, or a related financial services environment.
- Strong expertise in financial derivatives pricing, fixed income, and portfolio theory.
- Proficiency in programming languages commonly used in quantitative finance, such as Python, C++, or R.
- Deep understanding of statistical modeling, machine learning, and numerical methods.
- Experience with financial databases and market data providers.
- Excellent analytical, problem-solving, and computational skills.
- Strong written and verbal communication skills, with the ability to explain complex concepts to diverse audiences.
- Ability to thrive in a hybrid work environment, demonstrating both independent work ethic and collaborative teamwork.
- Familiarity with regulatory requirements impacting financial modeling.
Senior Quantitative Analyst - Financial Modeling
Posted 6 days ago
Job Viewed
Job Description
Key Responsibilities:
- Develop and maintain sophisticated quantitative models for financial risk assessment, including market risk, credit risk, and operational risk.
- Design and implement pricing models for various financial instruments, derivatives, and structured products.
- Create and validate algorithms for trading strategies, portfolio optimization, and algorithmic trading systems.
- Utilize advanced statistical techniques and machine learning methods for predictive modeling and data analysis.
- Implement models using programming languages such as Python, C++, or R, and ensure efficient execution and scalability.
- Collaborate with front-office traders, risk managers, and compliance officers to understand business needs and deliver tailored solutions.
- Conduct back-testing and stress-testing of models to assess their performance and robustness.
- Document model methodologies, assumptions, and validation processes thoroughly.
- Stay current with regulatory requirements (e.g., Basel III, IFRS 9) and industry best practices in quantitative finance.
- Present complex model results and findings clearly to both technical and non-technical audiences.
Qualifications:
- Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
- Minimum of 5-7 years of relevant experience in quantitative analysis within the banking or financial services industry.
- Proven expertise in financial modeling, statistical analysis, and stochastic calculus.
- Strong programming skills in Python, C++, or R, with experience in relevant financial libraries.
- Familiarity with financial markets, instruments, and derivatives.
- Understanding of risk management principles and regulatory frameworks.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and interpersonal skills, with the ability to explain complex concepts effectively.
- Experience with machine learning techniques applied to finance is a significant advantage.
- Ability to work independently, manage projects, and meet deadlines in a remote environment.