19 Actuarial Science jobs in Bahrain
Senior Quantitative Analyst - Financial Modeling
Posted today
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Key responsibilities:
- Developing and validating advanced mathematical models for pricing complex financial instruments (equities, fixed income, FX, derivatives).
- Implementing quantitative models in programming languages such as Python, C++, or R.
- Conducting rigorous back-testing and stress-testing of models to assess performance and risk.
- Collaborating with traders, risk managers, and portfolio managers to understand their needs and provide analytical solutions.
- Contributing to the development of new trading strategies and risk management frameworks.
- Ensuring compliance with regulatory requirements and internal policies.
- Mentoring junior quantitative analysts and sharing expertise within the team.
- Researching and evaluating new methodologies and technologies in quantitative finance.
- Producing clear and concise documentation for all developed models and methodologies.
The ideal candidate will hold a Master's degree or Ph.D. in a quantitative field such as Financial Mathematics, Statistics, Physics, Computer Science, or Economics. A minimum of 5 years of experience in quantitative analysis within the financial services industry is essential. Proven experience in financial modeling, particularly in derivative pricing and risk management, is mandatory. Strong programming skills in Python, C++, or R, along with experience in libraries like NumPy, SciPy, and Pandas, are required. Deep understanding of stochastic calculus, probability theory, and statistical methods is crucial. Excellent analytical, problem-solving, and communication skills are necessary. The ability to work effectively in a fast-paced, deadline-driven environment is key. This is a premier opportunity to join a leading financial institution and make a significant impact from anywhere.
Senior Quantitative Analyst - Financial Modeling
Posted today
Job Viewed
Job Description
Responsibilities will include designing, testing, and validating complex financial models for pricing derivatives, assessing risk, and optimizing portfolio performance. You will be responsible for analyzing large datasets, identifying market trends, and providing actionable insights to senior management and trading desks. The Senior Quantitative Analyst will also play a key role in collaborating with business units to understand their needs and translate them into quantitative solutions. This includes developing custom metrics, backtesting strategies, and ensuring the accuracy and reliability of all model outputs.
Key duties involve maintaining and enhancing existing quantitative models, researching and implementing new methodologies, and ensuring compliance with regulatory requirements. The role demands a proactive approach to problem-solving, a meticulous attention to detail, and the ability to communicate complex quantitative concepts effectively to both technical and non-technical audiences. You will be expected to contribute to the continuous improvement of the quantitative framework and mentor junior analysts. The ability to work under pressure and manage multiple projects simultaneously is essential.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 5 years of relevant experience in quantitative finance, risk management, or asset management.
- Proven expertise in financial modeling, derivative pricing, and risk management techniques.
- Strong programming skills in languages such as Python, R, C++, or MATLAB.
- Proficiency in statistical analysis, econometrics, and machine learning techniques.
- Experience with financial databases (e.g., Bloomberg, Refinitiv) is required.
- Excellent analytical and problem-solving abilities.
- Strong understanding of financial markets and instruments.
- Exceptional communication and presentation skills.
- Ability to work independently and as part of a team in a fast-paced environment.
This is a fantastic opportunity for a talented quantitative professional to contribute to a high-performing team and advance their career in the heart of the financial sector.
Senior Quantitative Analyst - Financial Modeling
Posted today
Job Viewed
Job Description
Responsibilities:
- Develop and implement quantitative models for pricing, risk management, and trading.
- Perform statistical analysis on large financial datasets.
- Validate and backtest model performance.
- Collaborate with business units to understand requirements and provide solutions.
- Contribute to the development of new financial products and strategies.
- Ensure compliance with regulatory requirements related to model risk.
- Write clean, efficient, and well-documented code.
- Stay abreast of the latest advancements in quantitative finance and data science.
- Present model results and insights to stakeholders.
- Troubleshoot and maintain existing quantitative models.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Financial Engineering, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in quantitative analysis within the financial industry.
- Proficiency in Python, R, C++, or other relevant programming languages.
- Strong knowledge of financial markets, derivatives, and risk management.
- Expertise in statistical modeling, econometrics, and machine learning techniques.
- Experience with data analysis and visualization tools.
- Excellent problem-solving and analytical skills.
- Strong communication and presentation abilities.
- Ability to work independently and manage multiple projects.
Senior Quantitative Analyst (Financial Modeling)
Posted today
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Job Description
The successful candidate will work closely with traders, portfolio managers, and risk officers to understand their needs and translate them into robust quantitative models. This position requires a strong foundation in mathematics, statistics, programming, and financial markets. You will be expected to perform rigorous testing and validation of models, ensuring their accuracy and reliability. This role offers significant opportunities for professional growth and exposure to diverse financial products and challenges.
Responsibilities:
- Develop, implement, and back-test sophisticated financial models for pricing derivatives, credit risk, market risk, and asset allocation.
- Build and maintain a library of reusable quantitative models and tools using languages such as Python or C++.
- Validate existing models and provide insights into their performance and limitations.
- Collaborate with business stakeholders to identify and quantify financial risks and opportunities.
- Prepare detailed documentation and presentations of model methodologies and results for both technical and non-technical audiences.
- Stay current with academic research and industry best practices in quantitative finance.
- Contribute to the development and enhancement of the firm's risk management framework.
- Mentor junior quantitative analysts and support their technical development.
- Advanced degree (Master's or PhD) in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.
- Proven experience (5+ years) in quantitative analysis or financial modeling within investment banking, asset management, or a related financial services industry.
- Expertise in programming languages such as Python (NumPy, SciPy, Pandas) and/or C++.
- Strong understanding of financial markets, derivative pricing, and risk management concepts.
- Experience with statistical modeling, time series analysis, and econometrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex concepts clearly.
- Familiarity with databases and SQL is a plus.
Senior Data Scientist - Financial Modeling
Posted 6 days ago
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Job Description
Responsibilities:
- Develop and implement advanced quantitative models for financial applications.
- Utilize machine learning algorithms for predictive modeling, risk assessment, and fraud detection.
- Analyze large, complex financial datasets to extract meaningful insights.
- Perform feature engineering and model validation to ensure accuracy and robustness.
- Collaborate with cross-functional teams to integrate models into production systems.
- Create compelling visualizations and reports to communicate model findings.
- Stay abreast of the latest advancements in data science, machine learning, and financial modeling.
- Contribute to the development of data infrastructure and analytical tools.
- Mentor junior data scientists and contribute to team knowledge sharing.
- Identify opportunities for optimizing financial strategies through data analysis.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Finance.
- Minimum of 5 years of experience as a Data Scientist with a focus on financial modeling.
- Proven experience in developing and deploying machine learning models in a financial context.
- Strong proficiency in programming languages like Python or R, and relevant libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow, PyTorch).
- Expertise in statistical analysis, time series analysis, and financial econometrics.
- Solid understanding of financial markets, instruments, and regulatory environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills to convey complex technical concepts.
- Ability to work independently and collaboratively in a remote team environment.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
Remote Senior Data Scientist - Financial Modeling
Posted today
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Job Description
Senior Data Scientist - Financial Modeling and Risk Analysis
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Develop, implement, and validate advanced financial models for pricing, valuation, and risk management.
- Conduct quantitative analysis of financial market data to identify trends, patterns, and potential risks.
- Build and deploy machine learning models for credit scoring, fraud detection, algorithmic trading, and portfolio optimization.
- Perform stress testing and scenario analysis on financial portfolios.
- Ensure the accuracy and integrity of financial data used for modeling and analysis.
- Collaborate with risk management and compliance departments to ensure adherence to regulatory requirements.
- Communicate complex analytical findings and recommendations clearly to stakeholders, including senior management.
- Stay current with advancements in data science, financial modeling, and regulatory changes in the banking sector.
- Mentor junior data scientists and contribute to the team's technical development.
- Automate reporting processes and develop interactive dashboards for visualizing financial data and risk metrics.
Qualifications:
- Master's or Ph.D. in Finance, Economics, Statistics, Mathematics, Computer Science, or a related quantitative field.
- 5+ years of experience in data science or quantitative analysis within the financial services industry.
- Proven experience in financial modeling, risk management, or quantitative trading.
- Expertise in Python or R, including libraries relevant to finance and data science (e.g., pandas, NumPy, SciPy, scikit-learn, TensorFlow).
- Strong knowledge of statistical modeling, time series analysis, and machine learning techniques.
- Familiarity with financial regulations and compliance standards (e.g., Basel III, Dodd-Frank).
- Experience with SQL and database management is essential.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work both independently and collaboratively in a team environment.
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Risk Assessment Analyst
Posted 5 days ago
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Key Responsibilities:
- Identify and assess potential risks across all business units and product lines.
- Develop and implement comprehensive risk management policies and procedures.
- Conduct quantitative and qualitative risk analysis, including financial modeling and scenario planning.
- Monitor and evaluate the effectiveness of risk mitigation strategies.
- Prepare detailed risk reports and present findings to senior management.
- Ensure compliance with relevant industry regulations and legal requirements.
- Collaborate with internal audit and compliance teams.
- Develop and deliver risk management training to staff.
- Stay updated on emerging risks and industry best practices in risk management.
- Assist in the development of business continuity and disaster recovery plans.
- Bachelor's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field.
- Minimum of 4 years of experience in risk management, actuarial science, or a related analytical role within the insurance industry.
- Strong understanding of risk assessment methodologies, statistical analysis, and financial modeling.
- Proficiency in risk management software and tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present complex information clearly.
- Ability to work independently and as part of a team.
- Professional certifications such as FRM or PRM are a plus.
Senior Risk Assessment Analyst
Posted today
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Job Description
- Develop and maintain advanced statistical models for risk assessment and pricing.
- Conduct in-depth analysis of market trends, economic indicators, and geopolitical events to forecast potential impacts on the business.
- Collaborate with cross-functional teams to implement risk mitigation strategies and policies.
- Monitor and evaluate the effectiveness of existing risk management protocols.
- Prepare detailed reports and presentations for senior management, outlining risk exposures and recommendations.
- Stay abreast of emerging risks and regulatory changes impacting the insurance industry.
- Mentor junior analysts and contribute to the team's overall knowledge base.
- Utilize data analytics tools and programming languages (e.g., Python, R) to support risk modeling and analysis.
- Ensure compliance with all relevant industry regulations and internal policies.
- Bachelor's degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field. A Master's degree is preferred.
- Minimum of 5 years of experience in risk management, actuarial science, or a related analytical role within the insurance industry.
- Proven expertise in statistical modeling, data analysis, and risk assessment techniques.
- Proficiency in programming languages such as Python, R, or SQL.
- Strong understanding of insurance products, markets, and regulatory frameworks.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and interpersonal skills, with the ability to convey complex information clearly and concisely to diverse audiences.
- Ability to work independently and collaboratively in a remote, fast-paced environment.
- Professional certifications such as FRM or PRM are highly desirable.
Senior Risk Assessment Underwriter
Posted 1 day ago
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Job Description
Key Responsibilities:
- Evaluate and underwrite insurance applications, assessing risk factors and potential liabilities.
- Determine appropriate policy terms, conditions, and pricing based on risk analysis.
- Collaborate with internal teams and external stakeholders to gather necessary information.
- Maintain up-to-date knowledge of insurance regulations, market trends, and industry best practices.
- Mentor and guide junior underwriting staff, fostering a culture of continuous improvement.
- Develop and implement effective underwriting strategies to manage risk and optimize portfolio performance.
- Ensure compliance with all company policies and procedures.
- Bachelor's degree in Finance, Economics, Business Administration, or a related field.
- Minimum of 5 years of experience in insurance underwriting, with a focus on risk assessment.
- Proven track record of sound decision-making and risk management.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal abilities, with the capacity to explain complex information clearly.
- Proficiency in underwriting software and data analysis tools.
- Relevant professional certifications (e.g., FLMI, AU) are a plus.
- Ability to work independently and manage time effectively in a remote setting.