1815 Financial Modeling jobs in Manama
Quantitative Analyst - Financial Modeling
Posted 12 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 3 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.
Senior Quantitative Analyst, Financial Modeling
Posted 3 days ago
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Job Description
Key Responsibilities:
- Develop, implement, and maintain sophisticated quantitative models for financial asset pricing, risk assessment, and portfolio optimization.
- Conduct rigorous backtesting and validation of models to ensure accuracy and reliability.
- Analyze large datasets to identify trends, patterns, and market insights.
- Collaborate with business stakeholders to understand their analytical needs and translate them into model requirements.
- Develop dashboards and reports to communicate model outputs and risk exposures to management.
- Stay current with advancements in financial engineering, quantitative finance, and machine learning techniques.
- Ensure compliance with regulatory requirements and internal risk policies.
- Mentor junior analysts and contribute to the team's knowledge sharing.
- Enhance and automate existing modeling processes for greater efficiency.
- Perform ad-hoc quantitative analysis as required.
- Master's degree or Ph.D. in a quantitative discipline such as Finance, Mathematics, Statistics, Economics, or Physics.
- Minimum of 5 years of experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
- Strong programming skills in Python or R, with experience in relevant libraries (e.g., NumPy, SciPy, Pandas, Statsmodels).
- Proficiency in SQL and experience working with large databases.
- In-depth knowledge of financial markets, instruments, and valuation methodologies.
- Expertise in statistical modeling, time series analysis, and econometrics.
- Experience with derivative pricing models and risk management frameworks is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Ability to work independently and thrive in a remote, fast-paced environment.
Senior Quantitative Analyst - Financial Modeling
Posted 11 days ago
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Job Description
Responsibilities:
- Design, develop, test, and implement quantitative models for pricing, risk management, and trading strategies across various asset classes.
- Conduct rigorous statistical analysis and econometric modeling of market data.
- Collaborate with traders, portfolio managers, and risk managers to understand their needs and provide quantitative solutions.
- Develop and maintain sophisticated algorithms for trade execution and portfolio optimization.
- Perform back-testing and validation of models to ensure their accuracy and robustness.
- Contribute to the development of new financial products and instruments.
- Stay abreast of the latest research in quantitative finance, machine learning, and data science.
- Write clean, efficient, and well-documented code in languages such as Python, C++, or R.
- Communicate complex quantitative concepts clearly and concisely to both technical and non-technical stakeholders.
- Ensure compliance with regulatory requirements and internal policies.
- Assist in the development and implementation of risk management frameworks.
- Mentor junior quantitative analysts and contribute to the team's knowledge base.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Economics.
- 5+ years of experience in a quantitative role within investment banking, asset management, or hedge funds.
- Strong theoretical and practical knowledge of financial markets, derivatives pricing, and risk management.
- Proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, R).
- Experience with statistical and machine learning libraries (e.g., NumPy, SciPy, Pandas, Scikit-learn).
- Solid understanding of numerical methods and simulation techniques (e.g., Monte Carlo).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to collaborate effectively in a remote environment.
- Experience with large datasets and database management is a plus.
- Familiarity with big data technologies and cloud computing platforms is advantageous.
Senior Quantitative Analyst - Financial Modeling
Posted 13 days ago
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Job Description
Responsibilities:
- Design, build, and validate complex quantitative models for pricing derivatives, assessing market risk, and optimizing investment portfolios.
- Develop and implement algorithms for algorithmic trading and high-frequency trading strategies.
- Conduct in-depth statistical analysis and econometrics research to identify market trends and opportunities.
- Collaborate with portfolio managers, traders, and risk officers to understand their analytical needs and provide data-driven solutions.
- Ensure model compliance with regulatory requirements and internal risk policies.
- Develop and maintain high-quality, production-ready code in languages such as Python, R, or C++.
- Automate reporting processes and build dashboards for monitoring model performance and key financial metrics.
- Stay current with the latest advancements in financial engineering, machine learning, and computational finance.
- Present complex analytical findings clearly and concisely to both technical and non-technical stakeholders.
This position offers the significant advantage of being a fully remote role, enabling you to excel from your chosen workspace. We are looking for candidates with a Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science, along with a minimum of 5 years of experience in a similar quantitative role within the financial services industry. Strong programming skills, a deep understanding of financial instruments, and proven experience in building and deploying complex models are essential. Excellent communication and interpersonal skills are necessary for effective remote collaboration. This is a unique opportunity to apply your quantitative expertise within a leading financial firm, contributing to its success from **Tubli, Capital, BH**, or remotely from anywhere.
Senior Quantitative Analyst, Financial Modeling
Posted 18 days ago
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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 18 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.
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Senior Quantitative Analyst - Financial Modeling
Posted 21 days ago
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Job Description
Responsibilities:
- Develop, implement, and maintain quantitative models for pricing financial instruments, hedging, and risk management.
- Conduct in-depth mathematical and statistical analysis of financial markets and data.
- Design and execute complex simulations, stress tests, and scenario analyses.
- Perform rigorous validation and back-testing of models to ensure accuracy and reliability.
- Develop algorithms for trading strategies, portfolio optimization, and risk control.
- Collaborate with traders, portfolio managers, and risk officers to provide quantitative insights and support decision-making.
- Stay abreast of industry trends, regulatory changes, and new quantitative techniques.
- Document model methodologies, assumptions, and results clearly and comprehensively.
- Contribute to the team's research efforts and intellectual property development.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
Qualifications:
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- Minimum of 7 years of experience in quantitative finance, with a strong focus on financial modeling and derivative pricing.
- Expertise in programming languages such as Python, C++, R, or similar.
- In-depth knowledge of financial markets, asset classes, and derivative instruments.
- Strong understanding of statistical modeling, time series analysis, and numerical methods.
- Experience with risk management frameworks and regulatory requirements (e.g., Basel).
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to communicate complex quantitative concepts effectively to diverse audiences.
- Experience with large datasets and database technologies.
- Ability to work independently and as part of a remote, globally distributed team.
Lead Quantitative Analyst - Financial Modeling
Posted 21 days ago
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Job Description
Key Responsibilities:
- Develop, implement, and validate sophisticated quantitative models for financial markets.
- Lead a team of quantitative analysts, providing technical direction and mentorship.
- Design and build robust pricing, risk, and hedging models for various financial instruments.
- Conduct in-depth statistical analysis and time-series forecasting.
- Collaborate with business stakeholders to translate complex financial needs into quantitative solutions.
- Ensure models comply with regulatory standards and internal risk policies.
- Optimize existing models for performance, accuracy, and efficiency.
- Stay abreast of the latest academic research and industry best practices in quantitative finance.
- Present findings and model insights to senior management and relevant committees.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering.
- Minimum of 8 years of relevant experience in quantitative finance, with at least 3 years in a leadership role.
- Proven expertise in stochastic calculus, time-series analysis, and econometrics.
- Proficiency in programming languages like Python, R, C++, or MATLAB.
- Strong understanding of financial derivatives, risk management, and portfolio theory.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation abilities.
Senior Quantitative Analyst - Financial Modeling
Posted 21 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, implement, and maintain quantitative models for pricing, hedging, and risk management of financial derivatives.
- Design and build algorithms for algorithmic trading strategies.
- Conduct rigorous statistical analysis and backtesting of trading models and strategies.
- Collaborate with portfolio managers to optimize investment strategies and asset allocation.
- Provide quantitative support for risk management activities, including market risk, credit risk, and operational risk modeling.
- Research and implement new quantitative techniques and technologies.
- Perform data analysis and interpretation to identify market trends and opportunities.
- Communicate complex quantitative concepts and findings clearly to both technical and non-technical audiences.
- Develop and maintain high-quality code in languages such as Python, C++, or R.
- Stay abreast of regulatory changes and their impact on quantitative modeling.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
Qualifications:
- Master's or Ph.D. in a quantitative field (e.g., Mathematics, Statistics, Physics, Economics, Computer Science) or equivalent practical experience.
- Minimum of 5 years of experience as a Quantitative Analyst or in a similar quantitative role within the financial industry.
- Proven expertise in developing and implementing financial models, including stochastic calculus, time series analysis, and machine learning.
- Strong programming skills in Python, C++, R, or similar languages.
- Deep understanding of financial markets, instruments (equities, fixed income, derivatives), and trading strategies.
- Experience with large datasets and database management (SQL).
- Excellent analytical, problem-solving, and critical-thinking skills.
- Ability to work independently, manage multiple projects, and meet deadlines in a remote setting.
- Strong communication and presentation skills.
- Familiarity with machine learning techniques applied to finance is a strong plus.
This is a premier opportunity to leverage your quantitative expertise and shape financial strategies, working remotely from anywhere.