60 Senior Quantitative Analyst Risk Management jobs in whatjobs
Senior Quantitative Analyst - Risk Management
Posted 19 days ago
Job Viewed
Job Description
Our client, a leading financial institution renowned for its innovation and robust risk management framework, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their fully remote risk management team. This role is critical in developing and implementing sophisticated quantitative models and methodologies to identify, measure, and manage financial risks across the organization. You will leverage advanced statistical techniques, programming skills, and deep financial market knowledge to provide actionable insights and support strategic decision-making.
Responsibilities:
Responsibilities:
- Develop, validate, and implement complex quantitative models for market risk, credit risk, operational risk, and liquidity risk.
- Conduct in-depth analysis of financial data to identify trends, patterns, and potential risk exposures.
- Utilize statistical software and programming languages (e.g., Python, R, C++) to build, test, and deploy risk models.
- Perform back-testing and sensitivity analysis on existing models to ensure their accuracy and effectiveness.
- Contribute to the development of risk metrics, limits, and early warning indicators.
- Prepare detailed reports and presentations on risk exposures, model performance, and key findings for senior management and regulatory bodies.
- Collaborate with business lines and IT departments to integrate risk management systems and processes.
- Stay abreast of regulatory changes and industry best practices in quantitative risk management.
- Mentor junior analysts and contribute to the team's technical development.
- Evaluate and recommend new quantitative methodologies and technologies.
- Develop stress testing scenarios and analyze their impact on the firm's risk profile.
- Contribute to capital allocation and economic capital modeling initiatives.
- Ensure compliance with internal policies and external regulations.
- Proactively identify opportunities for process improvements and model enhancements.
- Engage with auditors and regulators on quantitative model-related matters.
- Advanced degree (Master's or Ph.D.) in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Economics.
- Minimum of 7 years of experience in quantitative analysis, risk management, or a related role within the financial services industry.
- Proven expertise in developing and implementing quantitative models for financial risk assessment.
- Strong proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB.
- Solid understanding of financial markets, instruments, and derivatives.
- Deep knowledge of statistical modeling techniques, time series analysis, and econometrics.
- Experience with data manipulation and database management.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
- Demonstrated ability to work independently and manage complex projects in a remote setting.
- Familiarity with regulatory frameworks such as Basel III and II.
- Experience with machine learning techniques applied to finance is a plus.
- Professional certifications like FRM or CFA are advantageous.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Risk Management
Posted 19 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Senior Quantitative Analyst to join our sophisticated, fully remote risk management team. This position is integral to developing and refining the quantitative models that underpin our financial risk assessment and mitigation strategies. As a remote-first professional, you will leverage advanced statistical techniques, programming skills, and deep financial knowledge to design, implement, and validate complex models for market risk, credit risk, and operational risk. You will collaborate closely with traders, portfolio managers, and regulatory compliance officers across the globe, providing critical insights and data-driven recommendations. The ideal candidate will possess a robust understanding of financial markets, regulatory frameworks, and cutting-edge quantitative methodologies. Key responsibilities include building predictive models, conducting stress tests, performing back-testing, and ensuring the integrity and accuracy of risk metrics. This role requires exceptional problem-solving abilities, meticulous attention to detail, and the capacity to translate intricate quantitative concepts into clear, actionable advice for non-technical stakeholders. We are looking for a self-driven individual who can manage complex projects independently, contribute to model validation efforts, and stay abreast of the latest developments in financial engineering and risk analytics. The ability to work autonomously in a remote setting while maintaining high standards of performance and collaboration is essential. Your expertise will directly influence the firm's financial health and strategic decision-making.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain quantitative models for various risk types (market, credit, operational).
- Perform complex statistical analysis, stress testing, and scenario analysis.
- Validate model performance through back-testing and sensitivity analysis.
- Contribute to the development of new risk metrics and reporting frameworks.
- Collaborate with front office and compliance teams to interpret model outputs and risk implications.
- Research and apply advanced mathematical and statistical techniques to financial problems.
- Document model methodologies, assumptions, and limitations thoroughly.
- Ensure compliance with regulatory requirements and internal policies.
- Present findings and recommendations to senior management and relevant committees.
- Stay current with industry best practices and emerging trends in quantitative finance and risk management.
- Master's or Ph.D. in Quantitative Finance, Financial Engineering, Statistics, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in quantitative analysis or risk management within the financial services industry.
- Strong proficiency in programming languages such as Python, R, C++, or Java.
- Expertise in statistical modeling, econometrics, and financial mathematics.
- Deep understanding of financial instruments, markets, and regulatory requirements (e.g., Basel III).
- Proven ability to develop, validate, and implement complex quantitative models.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex concepts clearly.
- Experience working in a remote team environment is highly desirable.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Risk Management
Posted 19 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking an accomplished Senior Quantitative Analyst to join their highly analytical risk management team. This is a fully remote position, allowing you to leverage your advanced quantitative skills from anywhere. You will be responsible for developing, implementing, and validating complex financial models used for pricing, risk assessment, and regulatory compliance. This role demands a profound understanding of financial markets, stochastic calculus, econometrics, and statistical modeling techniques. You will work closely with traders, portfolio managers, and business stakeholders to understand their needs and translate them into robust quantitative solutions. Key responsibilities include designing and coding pricing and risk models, performing backtesting and sensitivity analysis, contributing to the development of new financial products, and ensuring the accuracy and integrity of risk calculations. The ideal candidate possesses a strong academic background (Master's or Ph.D. in a quantitative field like Mathematics, Physics, Statistics, or Financial Engineering), significant experience in quantitative finance, and exceptional programming skills (e.g., Python, C++, R, MATLAB). Familiarity with regulatory frameworks such as Basel III/IV is essential. You must be able to communicate complex technical concepts clearly and effectively to both technical and non-technical audiences. This remote opportunity provides a unique chance to contribute to critical financial operations while maintaining work-life balance. You will be part of a collaborative team that values innovation and rigorous analysis. The ability to work independently, manage multiple projects, and meet tight deadlines is paramount. This is an exceptional opportunity for a talented quant professional to enhance their career in a dynamic and challenging remote environment. We are committed to fostering a culture of continuous learning and professional growth, offering ample opportunities for skill development and advancement. Join us and play a vital role in shaping the future of financial risk management. Your analytical prowess will be key to navigating the complexities of global financial markets and ensuring the stability of our institution. We seek individuals who are not only technically brilliant but also possess strong business acumen and a passion for financial innovation.
This advertiser has chosen not to accept applicants from your region.
2
Senior Quantitative Analyst - Risk Management
Posted 19 days ago
Job Viewed
Job Description
Our client, a prominent financial institution, is seeking a highly skilled Senior Quantitative Analyst specializing in Risk Management to join their fully remote team. This critical role involves developing and implementing sophisticated quantitative models to identify, measure, and manage financial risks. The ideal candidate will possess a strong academic background in a quantitative field, combined with extensive experience in financial modeling, statistical analysis, and risk management principles. You will be responsible for designing, building, testing, and validating complex models for market risk, credit risk, operational risk, and other financial exposures. This is a remote-first position, requiring exceptional analytical acumen, programming skills, and the ability to communicate complex quantitative concepts to both technical and non-technical stakeholders effectively. Your work will involve utilizing advanced statistical techniques, programming languages (e.g., Python, R, C++), and databases to analyze large datasets and generate actionable insights. You will also play a key role in regulatory compliance, ensuring models meet the requirements of financial regulators. Collaboration with front-office trading desks, risk managers, and IT teams will be essential. We are looking for a proactive and detail-oriented individual who can drive innovation in risk modeling, enhance risk mitigation strategies, and contribute to the firm's robust risk management framework. This is an exciting opportunity to apply advanced quantitative skills in a challenging and dynamic financial environment.
Responsibilities:
Responsibilities:
- Develop, validate, and implement quantitative models for risk management (market, credit, operational risk).
- Analyze large datasets using statistical and econometric techniques.
- Program complex algorithms and models in languages such as Python, R, or C++.
- Assess and quantify financial risks associated with various portfolios and instruments.
- Ensure model compliance with regulatory requirements (e.g., Basel accords).
- Collaborate with risk managers, traders, and IT teams to implement and enhance risk systems.
- Perform back-testing and sensitivity analysis on model performance.
- Generate reports and presentations on model findings and risk exposures.
- Stay abreast of the latest developments in quantitative finance and risk management.
- Contribute to the continuous improvement of the firm's risk framework.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
- Minimum of 5-7 years of experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
- Proficiency in programming languages such as Python, R, C++, or Java.
- Strong understanding of financial markets, instruments, and risk management principles.
- Experience with database technologies (SQL) and data analysis tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superior communication and presentation skills, with the ability to explain complex concepts clearly.
- Proven ability to work independently and collaboratively in a fully remote environment.
This advertiser has chosen not to accept applicants from your region.
3
Senior Quantitative Analyst (Risk Management)
Posted 19 days ago
Job Viewed
Job Description
Our client is a prestigious international financial institution known for its robust risk management framework and commitment to cutting-edge financial modeling. We are seeking a highly experienced Senior Quantitative Analyst to join our fully remote team, focusing on market risk and portfolio optimization. This role requires a deep understanding of financial markets, sophisticated quantitative techniques, and advanced statistical modeling. You will be instrumental in developing, implementing, and validating complex models that drive strategic decision-making and ensure the financial health of the institution.
Responsibilities:
Responsibilities:
- Develop, implement, and back-test quantitative models for market risk assessment, including VaR, CVA, and stress testing.
- Design and analyze complex financial instruments and derivatives.
- Perform statistical analysis of market data to identify trends, volatilities, and correlations.
- Collaborate with portfolio managers and traders to understand their needs and provide quantitative insights.
- Develop and maintain databases of financial data and model parameters.
- Create clear and concise reports and presentations summarizing model results and risk exposures for senior management.
- Ensure compliance with regulatory requirements and internal policies.
- Stay abreast of the latest developments in quantitative finance, econometrics, and financial modeling techniques.
- Contribute to the enhancement and validation of existing risk models.
- Mentor junior quantitative analysts and share expertise.
- Work closely with IT teams to implement models and ensure data integrity.
- Research new methodologies and technologies to improve risk management capabilities.
- Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Economics, Physics, or Computer Science.
- Minimum of 7 years of experience in quantitative analysis, risk management, or a related role within the financial services industry.
- Proven expertise in developing and implementing financial models, particularly for market risk.
- Strong programming skills in languages such as Python (NumPy, SciPy, Pandas), R, C++, or MATLAB.
- Advanced knowledge of statistical modeling, econometrics, and time-series analysis.
- Deep understanding of financial markets, derivatives, and portfolio theory.
- Experience with large datasets and database management (e.g., SQL).
- Excellent analytical, problem-solving, and critical-thinking abilities.
- Strong written and verbal communication skills, with the ability to explain complex quantitative concepts to non-technical audiences.
- Ability to work independently and manage multiple complex projects in a remote setting.
- Familiarity with regulatory frameworks (e.g., Basel Accords) is a plus.
- Experience with machine learning techniques applied to finance is beneficial.
This advertiser has chosen not to accept applicants from your region.
4
Senior Quantitative Analyst (Risk Management)
Posted 19 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 division in a fully remote capacity. This role is integral to developing and implementing sophisticated financial models that assess and mitigate market, credit, and operational risks. You will be responsible for designing, testing, and validating quantitative models, performing complex data analysis, and contributing to regulatory compliance efforts. Key responsibilities include developing pricing and risk models for various financial instruments, backtesting model performance, and generating reports for senior management and regulatory bodies. The ideal candidate possesses a strong academic background in a quantitative discipline, combined with extensive practical experience in financial modeling and risk management within the banking sector. Expertise in programming languages such as Python, R, or C++ is essential, along with a deep understanding of statistical modeling, econometrics, and machine learning techniques. You must be adept at translating complex mathematical concepts into actionable insights and communicating them effectively to both technical and non-technical audiences. This is a remote-first position, demanding exceptional self-management, problem-solving skills, and the ability to collaborate effectively with geographically dispersed teams. Your analytical rigor and commitment to data-driven decision-making will be key to success.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and validate quantitative models for risk management (market, credit, operational).
- Perform complex statistical analysis and financial modeling.
- Design and build models for pricing financial derivatives and instruments.
- Conduct backtesting and stress testing of models to assess performance and resilience.
- Analyze large datasets to identify trends, risks, and opportunities.
- Contribute to regulatory reporting requirements (e.g., Basel III/IV, IFRS 9).
- Collaborate with trading desks, portfolio managers, and IT departments.
- Communicate complex quantitative findings to senior management and stakeholders.
- Stay abreast of regulatory changes and industry best practices in quantitative finance.
- Mentor junior analysts and contribute to team development.
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, or Economics.
- Minimum of 5 years of experience in quantitative analysis, risk management, or financial modeling within the banking or financial services industry.
- Proficiency in programming languages like Python, R, C++, or MATLAB.
- Strong knowledge of statistical modeling, econometrics, machine learning, and derivatives pricing.
- Experience with risk management frameworks and regulatory requirements.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong verbal and written communication skills, with the ability to explain complex concepts clearly.
- Proven ability to work independently and collaboratively in a remote environment.
- Experience with data visualization tools is a plus.
This advertiser has chosen not to accept applicants from your region.
5
Senior Quantitative Analyst - Risk Management
Posted 19 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly analytical Senior Quantitative Analyst to join their sophisticated, fully remote risk management team. This role requires a deep understanding of financial markets, complex financial instruments, and advanced statistical modeling techniques. You will be responsible for developing, implementing, and validating quantitative models used for market risk, credit risk, and operational risk assessment. Your insights will be critical in guiding strategic decisions and ensuring the firm's financial stability and regulatory compliance. The ideal candidate is a meticulous problem-solver with a passion for financial modeling and a proven ability to work independently.
Key Responsibilities:
Qualifications:
This is an outstanding opportunity to apply advanced quantitative skills to critical financial challenges, driving robust risk management strategies from your remote location, contributing to the stability of global finance, and supporting operations that may have ties to areas like Nakuru, Nakuru, KE .
Key Responsibilities:
- Develop, implement, and maintain sophisticated quantitative models for risk measurement (e.g., VaR, Expected Shortfall, credit risk models).
- Perform rigorous backtesting and validation of models to ensure accuracy, robustness, and compliance with regulatory standards (e.g., Basel Accords).
- Analyze financial market data, identify trends, and assess potential risks associated with various asset classes and financial instruments.
- Collaborate with front-office trading desks, portfolio managers, and other risk management functions to provide analytical support and risk insights.
- Contribute to the development of new risk metrics and reporting frameworks.
- Automate data analysis and model execution processes using programming languages such as Python, R, or C++.
- Prepare detailed technical documentation of models, methodologies, and assumptions.
- Stay abreast of industry best practices, regulatory changes, and emerging quantitative techniques in financial risk management.
- Mentor junior quantitative analysts and contribute to the team's overall technical expertise in a remote environment.
- Communicate complex quantitative concepts clearly and effectively to both technical and non-technical audiences.
Qualifications:
- Master's degree or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Economics.
- Minimum of 6 years of experience in quantitative analysis, financial modeling, or risk management within the banking and finance industry.
- Strong proficiency in programming languages commonly used in quantitative finance (Python, R, C++, SQL).
- In-depth knowledge of financial markets, derivatives, and various asset classes.
- Experience with statistical modeling, time series analysis, and machine learning techniques applied to finance.
- Familiarity with risk management frameworks and regulatory requirements in the financial sector.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, essential for effective remote collaboration.
- Ability to work independently, manage multiple priorities, and deliver high-quality results in a remote setting.
This is an outstanding opportunity to apply advanced quantitative skills to critical financial challenges, driving robust risk management strategies from your remote location, contributing to the stability of global finance, and supporting operations that may have ties to areas like Nakuru, Nakuru, KE .
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Risk Management
Posted 19 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is actively seeking a highly experienced Senior Quantitative Analyst to join their dynamic remote team. This position is critical for enhancing our risk management capabilities and driving strategic financial decision-making. You will leverage sophisticated mathematical models and advanced analytical techniques to assess and mitigate financial risks across various asset classes. As a fully remote employee, you will have the flexibility to contribute from your home office while collaborating with global teams. Responsibilities:
- Develop, implement, and validate complex quantitative models for pricing, risk management, and hedging of financial derivatives and other complex instruments.
- Perform comprehensive risk analysis, including market risk, credit risk, and operational risk, using methodologies such as VaR, CVA, and stress testing.
- Design and implement robust data management and analysis pipelines to ensure data integrity and accessibility for modeling purposes.
- Collaborate closely with traders, portfolio managers, and risk officers to provide insights and solutions for risk mitigation strategies.
- Contribute to regulatory compliance by developing and maintaining models that meet stringent industry standards and reporting requirements.
- Research and apply new quantitative techniques and technologies to improve model accuracy and efficiency.
- Automate model implementation, monitoring, and reporting processes using programming languages such as Python, R, or C++.
- Document methodologies, model assumptions, and validation results thoroughly.
- Present findings and recommendations to senior management and relevant stakeholders.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.
- Extensive experience (5+ years) in quantitative finance, with a strong focus on risk management and derivative pricing.
- Proficiency in programming languages (Python, C++, R) and experience with financial libraries and platforms.
- Deep understanding of financial markets, instruments, and risk management principles.
- Proven ability to develop, test, and deploy complex mathematical models.
- Excellent analytical, problem-solving, and quantitative skills.
- Strong communication and interpersonal skills, with the ability to articulate complex quantitative concepts clearly.
- Experience with large datasets and data visualization tools.
- Familiarity with regulatory frameworks (e.g., Basel III, Dodd-Frank) is a plus.
This advertiser has chosen not to accept applicants from your region.
7
Senior Quantitative Analyst, Risk Management
Posted 19 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their dynamic Risk Management department. This critical role involves developing and implementing sophisticated mathematical models to assess and mitigate financial risks. You will be instrumental in enhancing the organization's risk assessment capabilities, ensuring compliance with regulatory requirements, and supporting strategic decision-making. This position requires deep analytical expertise, strong programming skills, and a thorough understanding of financial markets and instruments.
Key Responsibilities:
Key Responsibilities:
- Develop, validate, and implement quantitative models for credit risk, market risk, operational risk, and liquidity risk.
- Perform rigorous back-testing and sensitivity analysis on existing models to ensure their accuracy and effectiveness.
- Contribute to the development of new financial products and pricing strategies by providing quantitative insights.
- Collaborate with business units, IT, and compliance teams to implement and integrate risk models.
- Prepare comprehensive reports and presentations for senior management and regulatory bodies on risk exposures and model performance.
- Stay abreast of regulatory changes and industry best practices in quantitative risk management.
- Conduct research into new methodologies and technologies for risk modeling.
- Mentor junior quantitative analysts and provide technical guidance.
- Assist in stress testing and scenario analysis exercises.
- Identify and propose solutions for improving data quality and model infrastructure.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
- Minimum of 6 years of experience in quantitative analysis, risk modeling, or a related role within the banking or financial services industry.
- Strong proficiency in programming languages commonly used in quantitative finance (e.g., Python, R, C++, Java).
- Extensive experience with statistical modeling, time series analysis, Monte Carlo simulations, and machine learning techniques.
- In-depth knowledge of financial markets, derivatives, and financial instruments.
- Familiarity with regulatory frameworks such as Basel III, CCAR, or similar international regulations.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.
- Ability to work effectively in a team-oriented environment and manage multiple projects simultaneously.
- A strong commitment to data integrity and model governance.
This advertiser has chosen not to accept applicants from your region.
8
Senior Quantitative Analyst (Risk Management)
Posted 19 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly analytical and detail-oriented Senior Quantitative Analyst to join their risk management division. This is a fully remote position, allowing you to apply your advanced quantitative skills to critical financial modeling and risk assessment from your home office. You will be responsible for developing, validating, and implementing complex mathematical models used for credit risk, market risk, and operational risk assessment. This includes stress testing, scenario analysis, and back-testing of models to ensure their accuracy and effectiveness. You will play a key role in advising senior management on risk mitigation strategies and regulatory compliance. Your work will involve extensive data analysis, programming (Python, R, C++), and the use of statistical and machine learning techniques. Collaboration with traders, portfolio managers, and compliance officers will be essential to understand business needs and translate them into robust quantitative solutions. The ideal candidate will possess a Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering, coupled with at least 5 years of experience in quantitative finance, specifically in risk management. A strong understanding of financial markets, derivatives, and regulatory frameworks (e.g., Basel III) is required. Excellent programming skills and a proven ability to work independently and as part of a globally dispersed team are crucial. If you are a quantitative expert passionate about financial risk and seeking a challenging remote career opportunity, we want to hear from you. The conceptual job location is Nakuru, Nakuru, KE , but this role is entirely remote.
This advertiser has chosen not to accept applicants from your region.
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