19 Actuarial Science jobs in Bahrain

Senior Quantitative Analyst - Financial Modeling

20101 Muharraq, Muharraq BHD130000 Annually WhatJobs

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full-time
Our client, a leading global investment bank, is actively seeking a highly skilled Senior Quantitative Analyst specializing in Financial Modeling for their esteemed remote trading and risk management division. This fully remote position offers an exceptional opportunity to work on complex financial challenges with a dynamic, international team. You will be responsible for developing, implementing, and maintaining sophisticated quantitative models used for pricing financial derivatives, risk management, and algorithmic trading strategies. Your expertise will be crucial in ensuring the accuracy and robustness of our financial models.

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.
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Senior Quantitative Analyst - Financial Modeling

20500 Hamad Town, Northern BHD110000 Annually WhatJobs

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full-time
Our client, a leading financial institution, is seeking a highly skilled and analytical Senior Quantitative Analyst to join their dynamic team in Hamad Town, Northern, BH . This pivotal role will focus on developing and implementing sophisticated financial models, risk management strategies, and quantitative trading algorithms. The ideal candidate will possess a deep understanding of financial markets, advanced statistical techniques, and programming expertise.

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.
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Senior Quantitative Analyst - Financial Modeling

312 Bilad Al Qadeem, Capital BHD130000 Annually WhatJobs

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full-time
Our client is seeking a highly analytical and technically proficient Senior Quantitative Analyst to join their innovative financial services team. This position is **fully remote**, allowing you to contribute to our global projects from anywhere. You will be responsible for developing, implementing, and validating sophisticated quantitative models used for risk management, trading strategies, pricing derivatives, and portfolio optimization. Your expertise will be crucial in translating complex financial concepts into robust mathematical models and implementing them using advanced programming languages. You will work with large datasets, perform statistical analysis, and conduct rigorous testing to ensure model accuracy and reliability. This role requires a deep understanding of financial markets, derivatives, econometrics, and stochastic calculus. You will collaborate closely with traders, portfolio managers, and risk officers to understand their needs and develop tailored quantitative solutions. The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering. Proven experience in developing and deploying quantitative models in a financial setting is essential. Strong programming skills in Python, R, C++, or similar languages are required, along with expertise in numerical methods and statistical techniques. You should be adept at data manipulation and visualization tools. Excellent communication skills are necessary to explain complex technical concepts to non-technical audiences. If you are a passionate quantitative professional looking to leverage your analytical skills in a challenging and rewarding **remote** environment, we encourage you to apply.
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.
Qualifications:
  • 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.
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Senior Quantitative Analyst (Financial Modeling)

1024 Seef, Capital BHD85000 Annually WhatJobs

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Job Description

full-time
Our client is a leading financial institution seeking a highly analytical and detail-oriented Senior Quantitative Analyst for their office in **Seef, Capital, BH**. This critical role involves developing, implementing, and validating complex financial models used for risk management, pricing, and investment strategies. You will be instrumental in shaping the firm's quantitative capabilities and contributing to strategic decision-making.

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.
Qualifications:
  • 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.
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Senior Data Scientist - Financial Modeling

22234 Northern, Northern BHD140000 Annually WhatJobs

Posted 6 days ago

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full-time
Our client, a leading innovator in the financial technology sector, is actively seeking a Senior Data Scientist specializing in Financial Modeling to join their cutting-edge, fully remote team. This pivotal role requires a highly analytical and experienced professional to develop, implement, and refine sophisticated quantitative models for various financial applications. You will leverage your deep expertise in statistical analysis, machine learning, and programming to build predictive models for risk assessment, fraud detection, algorithmic trading, and investment strategies. The ideal candidate will possess a strong background in quantitative finance and a proven ability to translate complex data into actionable insights. Your responsibilities will include data mining, feature engineering, model validation, and deploying models into production environments. You will work closely with portfolio managers, quantitative analysts, and software engineers to drive data-driven decision-making and enhance financial product offerings. Key responsibilities include analyzing large datasets, developing custom algorithms, and ensuring the robustness and accuracy of financial models. This is a remote-first opportunity, offering the flexibility to contribute to high-impact projects from anywhere. We are looking for a proactive and results-oriented individual with excellent problem-solving skills, strong communication abilities, and a passion for innovation in financial data science. Your proficiency in programming languages such as Python or R, and experience with libraries like TensorFlow or PyTorch, will be critical. Join our client to play a key role in advancing financial modeling and analytics, driving innovation and growth within a dynamic fintech environment.

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.
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Remote Senior Data Scientist - Financial Modeling

1007 Al Jasra BHD95000 Annually WhatJobs

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full-time
Our client is actively seeking a highly skilled Remote Senior Data Scientist with a specialization in Financial Modeling to join their innovative team. This is a 100% remote opportunity, allowing you to leverage your expertise from anywhere. You will be instrumental in developing advanced statistical models and machine learning algorithms to analyze complex financial data, predict market trends, and optimize investment strategies. Your responsibilities will include designing and implementing data-driven solutions, building predictive models, and validating their performance. You will work with large datasets, ensuring data integrity and quality. Collaboration with finance professionals to understand business needs and translate them into data science problems will be a key aspect of the role. The ideal candidate will have a Master's or Ph.D. in Statistics, Data Science, Computer Science, Finance, or a related quantitative field, coupled with a minimum of 5 years of experience in data science, with a focus on financial modeling and quantitative finance. Proficiency in programming languages like Python or R, and experience with machine learning libraries and tools (e.g., TensorFlow, PyTorch, scikit-learn) are essential. Strong knowledge of SQL and experience with big data technologies are also required. Excellent analytical, problem-solving, and communication skills are paramount. This remote role offers a unique chance to apply cutting-edge data science techniques in the dynamic financial sector.
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Senior Data Scientist - Financial Modeling and Risk Analysis

704 Zallaq, Southern BHD145000 Annually WhatJobs

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full-time
Our client is seeking a highly skilled Senior Data Scientist to join their esteemed Banking & Finance division in **Zallaq, Southern, BH**. This role is integral to developing sophisticated financial models and conducting rigorous risk analysis, driving data-informed strategies within the financial sector. You will be responsible for leveraging large datasets, applying advanced statistical techniques, and building predictive models to assess market risks, credit risks, and operational efficiencies. The ideal candidate will possess a deep understanding of financial markets, quantitative analysis, machine learning algorithms, and programming languages such as Python or R. Your expertise will be crucial in providing insights that support critical business decisions, optimize portfolio performance, and ensure regulatory compliance. Collaboration with portfolio managers, risk officers, and compliance teams will be essential.

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.
This is an exceptional opportunity for a quantitative expert to make a significant impact in the financial sector. Join our client’s leading team in **Zallaq, Southern, BH** and drive innovation in financial analysis and risk management.
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Risk Assessment Analyst

1009 Busaiteen, Muharraq BHD75000 Annually WhatJobs

Posted 5 days ago

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full-time
Our client is searching for a meticulous and analytical Risk Assessment Analyst to join their expanding insurance division in **A'ali, Northern, BH**. This role is integral to identifying, assessing, and mitigating potential risks across the company's operations and product lines. The successful candidate will be responsible for developing and implementing risk management frameworks, conducting detailed risk analyses, and recommending strategies to minimize exposure. You will work closely with various departments to understand their risk profiles and ensure adherence to regulatory requirements and internal policies. The ideal candidate will possess a strong understanding of the insurance industry, exceptional analytical skills, and the ability to communicate complex risk factors clearly and concisely.

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.
Qualifications:
  • 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.
This hybrid position offers a challenging and rewarding career opportunity within the thriving insurance sector in **A'ali, Northern, BH**. Apply now to contribute your expertise.
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Senior Risk Assessment Analyst

603 Seef, Capital BHD75000 Annually WhatJobs

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full-time
Our client, a leading innovator in the insurance sector, is seeking a highly skilled and experienced Senior Risk Assessment Analyst to join their dynamic, fully remote team. In this critical role, you will be instrumental in developing, implementing, and refining sophisticated risk models that drive strategic decision-making across the organization. Your expertise will be vital in identifying, analyzing, and mitigating potential risks inherent in our diverse portfolio of insurance products. You will collaborate closely with underwriting, actuarial, and claims departments to ensure robust risk management frameworks are in place. This position demands a proactive approach to risk identification, requiring deep analytical skills and a comprehensive understanding of financial markets, regulatory environments, and insurance principles. Key Responsibilities:
  • 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.
Qualifications:
  • 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.
This is an exceptional opportunity to contribute to a forward-thinking company while enjoying the flexibility of a fully remote work environment. Join us and make a significant impact on our risk management excellence.
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Senior Risk Assessment Underwriter

601 Diplomatic Area BHD75000 Annually WhatJobs

Posted 1 day ago

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full-time
Our client is seeking a highly motivated and experienced Senior Risk Assessment Underwriter to join their fully remote team. In this pivotal role, you will be instrumental in evaluating insurance applications, assessing risk, and determining policy terms and conditions. You will collaborate closely with actuaries, claims adjusters, and sales teams to ensure the company's continued profitability and growth. Your primary responsibilities will include analyzing complex financial data, understanding market trends, and applying underwriting guidelines to make informed decisions. You will conduct thorough reviews of policy submissions, identifying potential risks and recommending appropriate mitigation strategies. This role requires a deep understanding of various insurance products, including life, health, and property insurance. You will also be responsible for mentoring junior underwriters and contributing to the development of new underwriting strategies and best practices. A strong analytical mindset, exceptional attention to detail, and excellent communication skills are essential for success in this position. The ability to work independently and manage a diverse caseload while meeting deadlines is crucial. You will utilize advanced analytics tools and software to perform risk assessments and maintain accurate records. Continuous learning and staying abreast of industry changes and regulatory requirements will be a key aspect of your role. We are looking for a candidate who is proactive, possesses strong problem-solving abilities, and is dedicated to upholding the highest standards of underwriting excellence. This is a fantastic opportunity to contribute to a dynamic and forward-thinking organization from the comfort of your home office.
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.
Qualifications:
  • 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.
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