9 Senior Quantitative Analyst Risk Management Remote jobs in whatjobs
Senior Quantitative Analyst - Risk Management (Remote)
Posted 20 days ago
Job Viewed
Job Description
Our client, a leading international investment bank, is seeking a highly analytical and accomplished Senior Quantitative Analyst to join their remote risk management division. This is a fully remote, full-time position, allowing you to apply your sophisticated modeling skills from anywhere. You will be responsible for developing, implementing, and validating complex quantitative models for risk assessment, pricing, and trading strategies across various financial instruments. This role requires a profound understanding of financial markets, derivatives, statistical modeling, and programming. You will work closely with traders, portfolio managers, and other quantitative analysts to identify and mitigate financial risks. Your expertise will be crucial in developing stress-testing scenarios, back-testing models, and ensuring regulatory compliance. The ideal candidate will possess exceptional mathematical and statistical skills, coupled with strong programming abilities in languages such as Python, R, or C++. Excellent problem-solving and analytical capabilities are essential. You will need to communicate complex quantitative concepts clearly and effectively to both technical and non-technical stakeholders. This is an exceptional opportunity to contribute to the financial stability and strategic decision-making of a major financial institution remotely, with a broad scope that could influence financial practices relevant to the **Nyeri, Nyeri, KE** economic landscape. We are looking for a candidate with a proven track record of building and deploying quantitative models in a high-paced financial environment. Experience with machine learning techniques and big data analytics is highly beneficial. The ability to work independently, manage multiple priorities, and thrive in a challenging, results-oriented setting is paramount. A minimum of 7 years of experience in quantitative finance or a related field is required. A Master's degree or Ph.D. in a quantitative discipline such as Mathematics, Statistics, Physics, or Financial Engineering is strongly preferred.
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Senior Quantitative Analyst (Risk Management) (Remote)
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Senior Quantitative Analyst specializing in Risk Management. This is a fully remote position, allowing you to leverage your expertise from anywhere. You will be responsible for developing, implementing, and validating sophisticated quantitative models used for assessing and managing financial risks, including credit risk, market risk, and operational risk. Your work will involve leveraging advanced statistical techniques, mathematical modeling, and data science to build robust risk measurement frameworks. You will analyze large datasets, identify patterns, and provide critical insights to inform risk mitigation strategies and regulatory compliance. The ideal candidate will possess a strong academic background in a quantitative discipline, coupled with significant practical experience in the banking or financial services sector. You will work closely with risk management teams, traders, and regulatory bodies, translating complex financial concepts into actionable analytical solutions. This role requires exceptional programming skills, a meticulous approach to detail, and the ability to communicate complex findings effectively to both technical and non-technical stakeholders.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop, implement, and validate quantitative models for risk assessment (credit, market, operational risk).
- Perform statistical analysis on large financial datasets to identify trends and anomalies.
- Design and backtest risk measurement methodologies and metrics.
- Contribute to the development of pricing models and hedging strategies.
- Ensure compliance with regulatory requirements (e.g., Basel Accords, IFRS 9).
- Collaborate with business units to understand risk exposures and define modeling requirements.
- Prepare detailed reports and presentations on model performance and risk insights.
- Stay abreast of the latest advancements in quantitative finance and risk management techniques.
- Mentor junior quantitative analysts and contribute to team knowledge development.
- Automate data processes and model validation procedures.
Qualifications:
- Master's degree or Ph.D. in Quantitative Finance, Economics, Mathematics, Statistics, Physics, or a related field.
- Minimum of 5-7 years of experience in quantitative analysis within the financial industry.
- Expertise in financial modeling, statistical analysis, and risk management principles.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong understanding of financial instruments, markets, and regulatory frameworks.
- Experience with data manipulation and database technologies (SQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex concepts clearly.
- Proven ability to work independently and effectively in a remote team environment.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Risk Management (Remote)
Posted 17 days ago
Job Viewed
Job Description
Our client, a prominent financial institution, is seeking a highly analytical Senior Quantitative Analyst to join their risk management team. This is a fully remote position, offering a challenging and rewarding opportunity to apply advanced mathematical and statistical techniques to financial risk assessment. You will be instrumental in developing, implementing, and validating complex models for market risk, credit risk, and operational risk. The ideal candidate possesses a strong academic background in a quantitative discipline, extensive experience in financial modeling, and proficiency in programming languages used in quantitative finance. This role requires meticulous attention to detail, robust problem-solving skills, and the ability to communicate complex findings to diverse audiences.
Responsibilities:
Qualifications:
Responsibilities:
- Develop, test, and implement sophisticated quantitative models for risk management (e.g., VaR, stress testing, credit scoring).
- Perform complex data analysis using large datasets from financial markets and internal systems.
- Validate existing risk models and propose improvements to enhance accuracy and efficiency.
- Conduct research on new quantitative methodologies and their applicability to financial risk.
- Collaborate with risk managers, traders, and IT departments to understand business needs and translate them into quantitative solutions.
- Prepare detailed documentation for models, including assumptions, methodologies, and limitations.
- Contribute to regulatory compliance efforts by providing model expertise and support.
- Stay abreast of industry best practices, regulatory changes, and emerging trends in quantitative finance and risk management.
- Mentor junior quantitative analysts and contribute to the team's knowledge sharing.
- Develop and maintain efficient code for data processing, model implementation, and reporting.
- Present findings and model results to senior management and relevant committees.
Qualifications:
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, Financial Engineering, or Computer Science.
- Minimum of 6 years of experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
- Strong expertise in statistical modeling, time series analysis, econometrics, and machine learning techniques.
- Proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB.
- Deep understanding of financial markets, instruments, and risk management principles.
- Experience with data manipulation and database technologies (e.g., SQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex quantitative concepts clearly.
- Proven ability to work independently and manage multiple projects in a remote setting.
- Familiarity with regulatory frameworks (e.g., Basel Accords) is a plus.
This advertiser has chosen not to accept applicants from your region.
2
Senior Quantitative Analyst (Risk Management) - Remote
Posted 17 days ago
Job Viewed
Job Description
Our client, a distinguished financial institution known for its innovative investment strategies, is seeking a highly analytical and experienced Senior Quantitative Analyst specializing in Risk Management. This crucial role is offered on a fully remote basis, enabling top talent to contribute from anywhere. You will be responsible for developing, implementing, and validating complex quantitative models to assess and manage various financial risks, including market risk, credit risk, and operational risk. This includes designing stress testing scenarios, back-testing model performance, and developing risk mitigation strategies. The ideal candidate will possess a profound understanding of financial markets, derivatives, statistical modeling, and programming. Key responsibilities involve building sophisticated risk measurement frameworks, contributing to regulatory compliance (e.g., Basel Accords), and collaborating with trading desks, portfolio managers, and other stakeholders to communicate risk insights effectively. You will also be involved in developing new risk metrics and methodologies, and potentially contributing to algorithmic trading strategies. This position requires exceptional quantitative aptitude, meticulous attention to detail, and the ability to translate complex mathematical concepts into actionable business strategies. As a remote role, strong self-discipline, project management skills, and proficiency in virtual collaboration tools are paramount. A Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science, along with a minimum of 6 years of experience in quantitative analysis or risk management within the financial services industry, is essential. Proficiency in programming languages like Python, R, C++, and experience with financial databases and risk management software are highly desirable. We are looking for a strategic thinker who can anticipate future risk trends and develop robust solutions. Join our client in navigating the complexities of the global financial landscape, applying your quantitative expertise from your remote workspace.
Responsibilities:
Qualifications:
Responsibilities:
- Develop, implement, and validate quantitative risk models.
- Assess and manage market, credit, and operational risks.
- Design and execute stress testing and scenario analysis.
- Perform back-testing and performance monitoring of models.
- Contribute to regulatory capital calculations and reporting.
- Collaborate with business units to understand risk appetite and requirements.
- Develop and maintain risk dashboards and reports.
- Research and implement new quantitative methodologies.
- Communicate complex risk findings to stakeholders.
- Ensure data integrity and model governance.
Qualifications:
- Master's or Ph.D. in Finance, Mathematics, Statistics, Physics, or related quantitative field.
- Minimum of 6 years of experience in quantitative analysis or risk management.
- Strong knowledge of financial markets, instruments, and derivatives.
- Expertise in statistical modeling, econometrics, and time-series analysis.
- Proficiency in programming languages such as Python, R, or C++.
- Experience with financial databases (e.g., Bloomberg, Refinitiv) and risk systems.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to communicate technical concepts clearly to diverse audiences.
- Proven ability to work independently and manage projects effectively in a remote setting.
- Understanding of regulatory frameworks (e.g., Basel III/IV) is advantageous.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Risk Management (Remote)
Posted 20 days ago
Job Viewed
Job Description
Our client, a prominent financial institution, is seeking an experienced Senior Quantitative Analyst specializing in Risk Management. This is a fully remote position, offering the opportunity to contribute to critical financial risk modeling and analysis from anywhere. You will be responsible for developing, implementing, and validating quantitative models used for assessing and managing various financial risks, including market risk, credit risk, and operational risk. The ideal candidate will possess a strong academic background in a quantitative discipline, extensive experience in financial modeling, and a deep understanding of financial markets and regulatory requirements. You will work closely with risk management teams, traders, and other stakeholders, leveraging advanced statistical software and programming languages to build sophisticated analytical tools. This role requires exceptional analytical rigor, problem-solving skills, and the ability to communicate complex quantitative concepts effectively to both technical and non-technical audiences in a remote setting.
Key Responsibilities:
Key Responsibilities:
- Develop and implement sophisticated quantitative models for risk assessment (market, credit, operational).
- Validate and backtest existing risk models to ensure accuracy and reliability.
- Perform in-depth analysis of financial data to identify risk drivers and trends.
- Contribute to the development of risk management frameworks and policies.
- Design and build analytical tools and reports for risk monitoring and reporting.
- Collaborate with business units to understand their risk exposures and provide quantitative insights.
- Stay updated on industry best practices, regulatory changes, and emerging risk management techniques.
- Present complex analytical findings and model results to senior management and regulatory bodies.
- Develop and maintain documentation for all quantitative models and methodologies.
- Mentor junior quantitative analysts and contribute to team development.
- Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, Economics, or a related field.
- Minimum of 7 years of experience in quantitative analysis, risk management, or financial modeling.
- Strong proficiency in programming languages such as Python, R, C++, or similar.
- Extensive experience with statistical modeling, time series analysis, and econometrics.
- Deep understanding of financial instruments, markets, and risk management principles.
- Familiarity with financial regulations (e.g., Basel Accords) is highly desirable.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and interpersonal skills for effective remote collaboration.
- Ability to work independently and manage multiple priorities in a remote environment.
- Experience with data visualization tools is a plus.
- This role is fully remote and linked to our operations in Ongata Rongai, Kajiado, KE .
This advertiser has chosen not to accept applicants from your region.
4
Senior Quantitative Analyst (Risk Management) - Remote
Posted 11 days ago
Job Viewed
Job Description
Our client, a prestigious global financial institution, is seeking an exceptional Senior Quantitative Analyst with expertise in risk management to join our fully remote, high-performing analytics team. This role is instrumental in developing, implementing, and validating sophisticated quantitative models used for assessing and managing financial risks across various portfolios. You will work with complex datasets, employing advanced statistical techniques and programming skills to provide critical insights that inform strategic decision-making and ensure regulatory compliance. The ideal candidate possesses a rigorous analytical mindset, a deep understanding of financial markets, and a proven ability to translate complex quantitative concepts into practical risk management solutions.
Responsibilities:
Responsibilities:
- Develop, test, and implement quantitative models for market risk, credit risk, operational risk, and liquidity risk.
- Perform backtesting and sensitivity analysis on existing risk models to ensure accuracy and robustness.
- Analyze large and complex financial datasets to identify trends, patterns, and potential risk exposures.
- Collaborate with business units to understand their risk management needs and develop tailored analytical solutions.
- Prepare comprehensive reports and presentations summarizing model findings, risk assessments, and recommendations for senior management and regulatory bodies.
- Stay abreast of regulatory changes and industry best practices in quantitative risk management.
- Mentor junior analysts and contribute to the continuous improvement of the quantitative analytics team's capabilities.
- Develop and maintain documentation for all quantitative models and methodologies.
- Utilize advanced programming languages and statistical software for model development and data analysis.
- Engage with internal and external auditors to explain and validate model methodologies.
- A Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
- A minimum of 7 years of experience in quantitative analysis, risk management, or a related role within the financial services industry.
- Expertise in statistical modeling, time series analysis, econometrics, and machine learning techniques.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong knowledge of financial instruments, markets, and regulatory frameworks (e.g., Basel III, Dodd-Frank).
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to work independently and manage multiple projects simultaneously in a remote environment.
- Exceptional written and verbal communication skills, with the ability to articulate complex quantitative concepts to both technical and non-technical audiences.
- Experience with data visualization tools is a plus.
- Relevant professional certifications (e.g., FRM, PRM) are highly desirable.
This advertiser has chosen not to accept applicants from your region.
5
Senior Quantitative Analyst - Risk Management, Remote
Posted 15 days ago
Job Viewed
Job Description
Our client, a prominent institution in the Banking & Finance sector, is seeking a highly analytical and skilled Senior Quantitative Analyst to join their sophisticated, fully remote risk management team. This crucial role involves developing and implementing advanced quantitative models for risk assessment, pricing, and portfolio management. The ideal candidate will possess a deep understanding of financial markets, statistical modeling, and programming, with a proven ability to translate complex financial concepts into robust analytical solutions. This is a remote-first position, requiring you to leverage your expertise to support critical financial operations, potentially for entities operating in or around **Ruiru, Kiambu, Kenya**, and beyond, while collaborating with a global team.
Key responsibilities include designing, building, and validating complex financial models (e.g., VaR, credit risk models, derivative pricing models). You will perform rigorous stress testing and scenario analysis to assess portfolio risks under various market conditions. Data analysis, interpretation, and the development of data-driven insights will be central to your work. You will collaborate closely with traders, portfolio managers, and compliance officers to ensure that risk management strategies align with business objectives and regulatory requirements. The role also involves staying abreast of the latest developments in quantitative finance, regulatory changes, and financial technologies. You will be expected to communicate complex analytical findings clearly and concisely to both technical and non-technical audiences. A strong programming background in languages such as Python, R, C++, or Java is essential. A Master's degree or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, or Physics is required. A minimum of 6 years of relevant experience in quantitative analysis, risk management, or a similar role within the financial services industry is mandatory. Experience with financial databases (e.g., Bloomberg, Refinitiv) and expertise in statistical modeling techniques are highly valued. Excellent problem-solving abilities and a keen attention to detail are paramount for success in this demanding remote role.
Key responsibilities include designing, building, and validating complex financial models (e.g., VaR, credit risk models, derivative pricing models). You will perform rigorous stress testing and scenario analysis to assess portfolio risks under various market conditions. Data analysis, interpretation, and the development of data-driven insights will be central to your work. You will collaborate closely with traders, portfolio managers, and compliance officers to ensure that risk management strategies align with business objectives and regulatory requirements. The role also involves staying abreast of the latest developments in quantitative finance, regulatory changes, and financial technologies. You will be expected to communicate complex analytical findings clearly and concisely to both technical and non-technical audiences. A strong programming background in languages such as Python, R, C++, or Java is essential. A Master's degree or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, or Physics is required. A minimum of 6 years of relevant experience in quantitative analysis, risk management, or a similar role within the financial services industry is mandatory. Experience with financial databases (e.g., Bloomberg, Refinitiv) and expertise in statistical modeling techniques are highly valued. Excellent problem-solving abilities and a keen attention to detail are paramount for success in this demanding remote role.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Risk Management (Remote)
Posted 9 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Senior Quantitative Analyst to join their sophisticated risk management team. This is a fully remote role, offering the flexibility to work from any location in Kenya. The successful candidate will be responsible for developing, implementing, and validating complex quantitative models used for assessing and managing financial risks, including market risk, credit risk, and operational risk. You will work closely with front-office and back-office teams to ensure robust risk frameworks and provide insightful analysis to support strategic decision-making.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain quantitative models for risk assessment, pricing, and valuation of financial instruments.
- Perform rigorous back-testing and stress-testing of models to ensure their accuracy and reliability.
- Analyze large datasets to identify patterns, correlations, and anomalies related to financial risks.
- Contribute to the development of new risk metrics and reporting standards.
- Collaborate with IT and business stakeholders to ensure the seamless integration of quantitative models into trading and risk systems.
- Provide technical expertise and support to trading desks, portfolio managers, and risk managers.
- Stay updated on regulatory changes and industry best practices in risk management and quantitative finance.
- Document model methodologies, assumptions, and validation processes clearly and comprehensively.
- Develop automation tools and scripts to streamline data analysis and model implementation.
- Communicate complex quantitative concepts and findings effectively to both technical and non-technical audiences.
- Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, Economics, or a related quantitative field.
- Minimum of 5 years of experience in quantitative analysis, risk management, or a related role within the financial services industry.
- Strong programming skills in languages such as Python, R, C++, or Java.
- Proficiency with statistical modeling, time series analysis, and econometrics.
- In-depth knowledge of financial markets, instruments, and risk management principles.
- Experience with large-scale data manipulation and analysis tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, adaptable to a remote work environment.
- Ability to work independently and as part of a distributed team.
This advertiser has chosen not to accept applicants from your region.
7
Senior Quantitative Analyst - Risk Management (Remote)
Posted 3 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking a highly skilled Senior Quantitative Analyst specializing in Risk Management for a fully remote position. This role is paramount in developing and implementing sophisticated mathematical models to assess and mitigate financial risks across various portfolios. You will be instrumental in the creation, validation, and ongoing monitoring of risk models, including market risk, credit risk, and operational risk. The ideal candidate possesses a deep understanding of financial markets, advanced statistical and econometric techniques, and proficiency in programming languages such as Python, R, or C++. You will work closely with trading desks, portfolio managers, and compliance teams to provide insights and recommendations that drive sound financial decision-making. This position demands a rigorous analytical mindset, exceptional problem-solving skills, and the ability to communicate complex quantitative concepts effectively to both technical and non-technical stakeholders. This is an unparalleled opportunity to leverage your expertise in a remote setting and contribute to the financial stability of a leading organization.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop, implement, and maintain quantitative models for risk assessment (market, credit, operational).
- Perform backtesting and stress testing of risk models to ensure accuracy and robustness.
- Analyze large datasets to identify patterns, trends, and potential risks.
- Collaborate with business units to understand their risk management needs and provide quantitative solutions.
- Communicate complex quantitative findings and recommendations to senior management and stakeholders.
- Ensure compliance with regulatory requirements related to risk modeling and reporting.
- Stay abreast of the latest developments in quantitative finance, risk management, and financial modeling techniques.
- Contribute to the development of risk management frameworks and strategies.
- Validate third-party risk models and tools.
- Automate reporting and analytical processes using programming languages.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Economics, or Physics.
- Proven experience (5+ years) as a Quantitative Analyst or in a similar role within banking or financial services.
- Expertise in financial risk management concepts and methodologies.
- Strong programming skills in Python, R, C++, or similar languages.
- Proficiency with data manipulation and statistical analysis tools.
- Excellent understanding of financial markets and instruments.
- Demonstrated ability to work independently and manage projects remotely.
- Strong written and verbal communication skills.
- Experience with regulatory frameworks (e.g., Basel Accords) is a plus.
This advertiser has chosen not to accept applicants from your region.
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