51 Quantitative Modeling jobs in Bahrain

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

We're Hiring: Risk Management Analyst

Location: Bahrain |Investment Sector |3–5 Years’ Experience

On behalf of one of our leading clients in Bahrain, we’re seeking a detail-orientedRisk Management Analyst to join a high-performing investment team. Reporting to the Chief Audit Officer, the ideal candidate will have experience in risk modelling, portfolio analysis, and cross-functional collaboration.

Key Responsibilities:

• Analyse market, credit, operational & liquidity risks
• Conduct stress testing and scenario analysis
• Develop and maintain risk models (e.g., VaR, Monte Carlo)
• Collaborate with audit, investment, and finance teams
• Support scenario analysis and regulatory compliance efforts
• Support internal/external audits and reporting

Skills

What You’ll Need:

• Degree in Finance, Economics, Mathematics, Statistics, or related field
• 3–5 years of relevant experience in risk, investment, or financial analysis
• Proficiency in Excel and risk assessment tools
• Knowledge of capital markets, regulatory frameworks (e.g. MiFID, DORA), and investment strategies
• CFA, FRM, or ACCA certification is an advantage
• Fluent in Arabic and English (spoken and written)

Interested candidates can send their CV

Feel free to share or tag someone who fits this profile!

In security risk management we're looking to harness the power of industry best practice combined with driving new innovation on how we do security risk assessments and modelling. Our security risk management team is the primary owner of the strategy and practices of how we identify, track and reduce our security risk across everything we do.

To support this we need to use industry best practices paired with emerging threat information to promote risk identification, quantification, impact analysis, and modelling to ultimately drive decision making. In this role, you will help establish and execute a broad strategic vision for the security risk program at Canonical. You will not only work within the team but also cross-functionally with various teams across the organisation. The team contributes ideas and requirements for Canonical product security, improving the resilience and robustness of all Ubuntu customers and users subject to cyber attacks. Additionally, the team collaborates with our Organisational Learning and Development team to develop playbooks and facilitate security training across Canonical.

The security risk management team's mission is not only to secure Canonical, but also to contribute to the security of the wider open source ecosystem. They might share knowledge through public presentations and industry events, and share threat intelligence with the wider community or represent Canonical in sector-specific governance bodies.

• Define Canonical's security risk management standards and playbooks
• Analyse and improve Canonical's security risk practices
• Evaluate, select and implement new security requirements, tools and practices
• Grow the presence and thought leadership of Canonical security risk management practice
• Develop Canonical security risk learning and development materials
• Work with Security leadership to present information and influence change
• Participate in developing key risk indicators, provide inputs to the development of key control indicators, and key performance indicators for various programs
• Apply statistical models to risk frameworks (such as FAIR, sensitivity analysis, and others)
• Participate in risk management, decision-making, and collaborative discussions
• Lead quantified risk assessments and understand the value of qualitative data for improvements to quality and engineering processes
• Interpret internal or external cyber security risk analyses in business terms and recommend a responsible course of action
• Develop templates and materials to help with self-service risk management actions
• Monitor and identify opportunities to improve the effectiveness of risk management processes
• Launch campaigns to perform security assessments and help mitigate security risks across the company
• Build evaluation methods and performance indicators to measure efficiency of security functions and capabilities

• An exceptional academic track record
• Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path
• Drive and a track record of going above-and-beyond expectations
• Deep personal motivation to be at the forefront of technology security
• Leadership and management ability
• Excellent business English writing and presentation skills
• Problem-solver with excellent communication skills, a deep technical understanding of security assessments and risk management
• Expertise in threat modelling and risk management frameworks
• Broad knowledge of how to operationalize the management of security risk
• Experience in Secure Development Lifecycle and Security by Design methodology

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.