4 Principal Quantitative Analyst Risk Management jobs in whatjobs
Principal Quantitative Analyst (Risk Management)
Posted 19 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly skilled and experienced Principal Quantitative Analyst to join their remote risk management team. This is a fully remote position, allowing you to contribute your expertise in financial modeling and risk analysis from anywhere within Kenya. You will be responsible for developing, implementing, and validating sophisticated quantitative models for market risk, credit risk, and operational risk. This includes performing complex statistical analysis, backtesting models, and stress testing to ensure their accuracy and effectiveness. You will play a critical role in identifying, measuring, and managing financial risks across the organization. Collaborating closely with traders, portfolio managers, and other risk professionals to provide insights and recommendations for risk mitigation strategies is essential. You will also contribute to regulatory reporting and ensure compliance with relevant financial regulations and industry best practices. Staying abreast of the latest advancements in quantitative finance, econometrics, and machine learning techniques is paramount. The ideal candidate will have a Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Economics, or a related field. A minimum of 8-10 years of experience in quantitative analysis and risk management within the banking or financial services industry is required. Proven expertise in developing and validating models for market risk (e.g., VaR, CVA) and credit risk (e.g., PD, LGD) is essential. Strong programming skills in languages such as Python, R, or C++ are required, along with proficiency in statistical software and databases. Excellent analytical, problem-solving, and communication skills are paramount, with the ability to explain complex quantitative concepts to both technical and non-technical audiences. Experience with regulatory frameworks such as Basel Accords is highly desirable. This is a challenging and rewarding opportunity for a top-tier quantitative analyst to lead critical risk management initiatives in a remote capacity, driving financial stability and strategic decision-making for a major financial player. The job location highlighted for this role is Malindi, Kilifi, KE .
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Principal Quantitative Analyst (Risk Management)
Posted 19 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking an exceptional Principal Quantitative Analyst to lead their risk management analytics efforts. This is a critical, fully remote position where you will design, develop, and validate sophisticated quantitative models to assess and mitigate financial risks across various portfolios. The ideal candidate will possess a deep expertise in financial mathematics, statistical modeling, programming, and a strong understanding of banking regulations.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and maintain advanced quantitative models for credit risk, market risk, operational risk, and liquidity risk.
- Perform rigorous back-testing and stress-testing of models to ensure accuracy and robustness.
- Validate existing models and provide recommendations for improvement or remediation.
- Design and develop data analytics frameworks and tools to support risk assessment and monitoring.
- Collaborate with business units, IT, and compliance teams to understand risk requirements and implement solutions.
- Stay abreast of regulatory changes (e.g., Basel Accords) and ensure models comply with relevant requirements.
- Conduct research on new quantitative techniques and methodologies applicable to financial risk management.
- Mentor and guide junior quantitative analysts, fostering a culture of analytical excellence.
- Prepare clear and concise reports and presentations on model performance, risk assessments, and findings for senior management and regulatory bodies.
- Contribute to the development of the firm's overall risk management framework.
- Ph.D. or Master's degree in a highly quantitative field such as Financial Mathematics, Statistics, Economics, Physics, or Computer Science.
- Minimum of 10 years of experience in quantitative analysis within the banking or financial services industry, with a strong focus on risk management.
- Expertise in developing and validating models for credit scoring, VaR, CVA/DVA, capital allocation, and stress testing.
- Proficiency in programming languages commonly used in quantitative finance, such as Python (NumPy, SciPy, Pandas), R, C++, or Java.
- Strong knowledge of financial markets, instruments, and banking products.
- Familiarity with regulatory frameworks such as Basel III/IV.
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding communication and presentation skills, with the ability to articulate complex quantitative concepts to both technical and non-technical audiences.
- Proven experience working effectively in a fully remote, distributed team environment.
- Experience with large datasets and database technologies is a plus.
This advertiser has chosen not to accept applicants from your region.
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Principal Quantitative Analyst (Risk Management)
Posted 5 days ago
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Job Description
Our client, a prestigious international financial institution, is seeking a highly skilled Principal Quantitative Analyst with a specialization in Risk Management to join our fully remote analytics division. This senior-level role is critical for developing and implementing sophisticated quantitative models to assess and manage financial risks, including market risk, credit risk, and operational risk. You will be responsible for researching, designing, validating, and deploying complex mathematical models, ensuring compliance with regulatory requirements and internal policies. This is a remote-first position requiring a deep understanding of financial markets, advanced statistical techniques, and robust programming skills. Responsibilities include performing rigorous model validation, backtesting, and sensitivity analysis; developing stress testing scenarios; and contributing to risk reporting and capital allocation strategies. You will collaborate closely with risk management teams, traders, and compliance officers to provide data-driven insights and solutions. A Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Economics, Physics, or Financial Engineering is mandatory. A minimum of 8 years of experience in quantitative finance, risk management, or a related field, with a proven track record in model development and implementation, is required. Advanced proficiency in programming languages like Python, R, or C++ is essential. Deep knowledge of financial instruments, derivatives, and risk management frameworks (e.g., Basel Accords) is critical. Strong analytical, problem-solving, and communication skills, with the ability to articulate complex quantitative concepts to both technical and non-technical audiences, are paramount for success in this remote role. If you are a top-tier quant looking for a challenging and rewarding remote career, we encourage you to apply. The administrative reference for this remote position is Kericho, Kericho, KE .
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Principal Quantitative Analyst, Risk Management
Posted 3 days ago
Job Viewed
Job Description
Our client, a distinguished financial institution, is seeking a highly skilled Principal Quantitative Analyst to bolster its risk management capabilities. This is a fully remote position, offering an unparalleled opportunity for an expert in financial modeling and risk analytics to contribute significantly from anywhere. You will be responsible for developing, implementing, and validating sophisticated quantitative models to assess and manage financial risks, including market, credit, and operational risks. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering, coupled with extensive experience in quantitative finance and model development.
Key Responsibilities:
This role is fully remote, offering the flexibility to work from any location. While the team conceptually resides in Kitale, Trans-Nzoia, KE , we are seeking top-tier talent globally. We require individuals with exceptional analytical, mathematical, and programming skills (e.g., Python, R, C++), strong problem-solving abilities, and a proven capacity to excel in a remote, collaborative environment. If you are driven by quantitative challenges and passionate about safeguarding financial stability, we encourage you to apply.
Key Responsibilities:
- Develop, test, and implement advanced quantitative models for risk assessment and management.
- Analyze large datasets to identify patterns, correlations, and potential risks.
- Validate existing models and ensure their accuracy, robustness, and compliance with regulatory standards.
- Design and conduct stress testing scenarios and back-testing of models.
- Collaborate with business units to understand risk exposures and provide quantitative insights.
- Prepare detailed documentation of models, methodologies, and results for internal and external stakeholders.
- Stay current with regulatory requirements (e.g., Basel Accords) and industry best practices in quantitative risk management.
- Communicate complex quantitative concepts clearly to non-technical audiences.
- Mentor junior analysts and contribute to the development of the quantitative team.
- Research and evaluate new quantitative techniques and technologies.
This role is fully remote, offering the flexibility to work from any location. While the team conceptually resides in Kitale, Trans-Nzoia, KE , we are seeking top-tier talent globally. We require individuals with exceptional analytical, mathematical, and programming skills (e.g., Python, R, C++), strong problem-solving abilities, and a proven capacity to excel in a remote, collaborative environment. If you are driven by quantitative challenges and passionate about safeguarding financial stability, we encourage you to apply.
This advertiser has chosen not to accept applicants from your region.
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