610 Quantitative Modeling jobs in Kenya
Remote Financial Risk Analyst - Quantitative Modeling
Posted 20 days ago
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Job Description
Our client, a dynamic and forward-thinking financial institution, is looking for a highly analytical and quantitative Remote Financial Risk Analyst to join their esteemed team. This position is entirely remote, offering the flexibility to work from anywhere while contributing to critical risk management functions. The successful candidate will be responsible for developing, implementing, and maintaining sophisticated models to assess and mitigate various financial risks, including market risk, credit risk, and operational risk. You will work closely with cross-functional teams to identify potential vulnerabilities, design risk mitigation strategies, and ensure compliance with regulatory requirements.
Key Responsibilities:
The ideal candidate will hold a Master's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field. A strong background in financial markets, risk management principles, and advanced statistical techniques is essential. Proven experience in developing and implementing risk models (e.g., VaR, Expected Shortfall, credit scoring models) is required. Proficiency in programming languages such as Python, R, or C++ and experience with financial databases (e.g., Bloomberg, Refinitiv) are highly desirable. Excellent analytical, problem-solving, and communication skills are critical for success in this remote role. You will be a key contributor to the firm's robust risk management infrastructure, ensuring financial stability and sound decision-making. This opportunity is perfect for a quantitative professional seeking a challenging and rewarding remote career. This role is strategically linked to our operations serving clients in **Ongata Rongai, Kajiado, KE**.
Key Responsibilities:
- Developing and validating quantitative models for risk assessment and measurement.
- Analyzing financial data to identify trends, patterns, and potential risk exposures.
- Conducting stress testing and scenario analysis to evaluate portfolio resilience.
- Monitoring risk limits and thresholds, and escalating breaches as necessary.
- Collaborating with trading desks, portfolio managers, and business units to understand risk profiles.
- Preparing detailed risk reports for senior management and regulatory bodies.
- Contributing to the development and enhancement of risk management frameworks and policies.
- Implementing and utilizing risk management software and tools.
- Staying updated on market developments and regulatory changes impacting financial risk.
- Providing expertise and support on complex risk-related issues.
The ideal candidate will hold a Master's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field. A strong background in financial markets, risk management principles, and advanced statistical techniques is essential. Proven experience in developing and implementing risk models (e.g., VaR, Expected Shortfall, credit scoring models) is required. Proficiency in programming languages such as Python, R, or C++ and experience with financial databases (e.g., Bloomberg, Refinitiv) are highly desirable. Excellent analytical, problem-solving, and communication skills are critical for success in this remote role. You will be a key contributor to the firm's robust risk management infrastructure, ensuring financial stability and sound decision-making. This opportunity is perfect for a quantitative professional seeking a challenging and rewarding remote career. This role is strategically linked to our operations serving clients in **Ongata Rongai, Kajiado, KE**.
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Senior Financial Risk Analyst, Quantitative Modeling
Posted 21 days ago
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Job Description
Our client is seeking a seasoned Senior Financial Risk Analyst specializing in Quantitative Modeling to join their esteemed, fully remote financial services division. This critical role involves developing, implementing, and validating sophisticated risk models used for credit risk, market risk, and operational risk management. The ideal candidate will possess a strong quantitative background, extensive experience in financial modeling, and a deep understanding of regulatory requirements. Responsibilities include designing and building predictive models, conducting stress testing and scenario analysis, performing back-testing and model validation, and contributing to regulatory submissions. You will work closely with portfolio managers, traders, and compliance officers to ensure robust risk management practices. Proficiency in programming languages such as Python, R, or C++, and experience with financial modeling libraries and databases are essential. A Bachelor's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field is mandatory. A Master's degree or PhD in a relevant discipline is highly preferred. A minimum of 6 years of experience in financial risk management, with a strong emphasis on quantitative modeling, is required. Candidates must demonstrate excellent analytical skills, attention to detail, and the ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences. This remote position offers a significant opportunity to influence key risk management decisions within a leading financial institution.
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Senior Remote Quantitative Financial Modeler
Posted 5 days ago
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Job Description
Our client, a prestigious financial institution, is looking for an exceptionally talented Senior Remote Quantitative Financial Modeler. This fully remote position allows you to leverage your advanced analytical skills to build sophisticated financial models from your home office. You will be responsible for developing, validating, and implementing complex quantitative models for pricing, risk management, asset allocation, and trading strategies. This includes designing and coding models, performing rigorous backtesting, and ensuring their robustness and accuracy. The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering, with a proven track record in developing and deploying quantitative models in a financial setting. Exceptional programming skills in languages like Python, R, C++, or Java are essential, along with expertise in numerical methods and statistical analysis. You will work closely with portfolio managers, traders, and risk officers, providing insights and developing tools to support their decision-making processes. This role demands strong analytical reasoning, exceptional problem-solving abilities, and the capacity to communicate complex mathematical concepts to non-technical stakeholders. You will also be involved in the ongoing maintenance and enhancement of existing models, ensuring they remain relevant and effective in dynamic market conditions. This is a highly demanding but rewarding role for a top-tier quantitative professional seeking to make a significant impact in the financial industry through cutting-edge remote modeling. The primary operational hub for this position is **Nakuru, Nakuru, KE**, however, the role is entirely remote.
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Senior Quantitative Analyst - Risk Modeling
Posted 21 days ago
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Job Description
Our client, a leading financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their sophisticated risk management division. This is a critical, fully remote role focused on developing, validating, and implementing complex financial risk models. You will play a key part in assessing credit risk, market risk, and operational risk, ensuring the institution's stability and compliance with regulatory requirements. The ideal candidate will possess a strong quantitative background, expertise in statistical modeling, programming proficiency, and a deep understanding of financial markets and banking regulations. This role requires a meticulous, independent, and results-oriented professional capable of complex analytical tasks in a virtual setting.
Responsibilities:
Responsibilities:
- Develop, calibrate, and validate quantitative models for credit risk, market risk, operational risk, and other financial risks.
- Implement risk models into production environments, working closely with IT and business teams.
- Perform back-testing and sensitivity analysis of existing models to ensure accuracy and robustness.
- Contribute to regulatory compliance efforts, including stress testing and capital adequacy assessments.
- Analyze large datasets to identify trends, correlations, and potential risks.
- Develop reports and visualizations to communicate model results and risk insights to senior management and stakeholders.
- Stay abreast of the latest advancements in quantitative finance, risk modeling techniques, and regulatory changes.
- Collaborate with front-office, middle-office, and back-office teams to understand business needs and incorporate them into model development.
- Ensure model documentation is comprehensive, accurate, and compliant with internal and external standards.
- Mentor junior quantitative analysts and contribute to the team's technical expertise.
- Design and conduct simulation studies to assess model performance under various market conditions.
- Master's or PhD degree in a quantitative field such as Mathematics, Statistics, Economics, Physics, or Financial Engineering.
- 5+ years of experience in quantitative analysis, risk modeling, or a related role within the banking or financial services industry.
- Strong proficiency in statistical modeling, econometrics, and machine learning techniques.
- Expertise in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB.
- Experience with financial databases and data manipulation tools.
- Solid understanding of banking regulations (e.g., Basel III/IV) and their impact on risk modeling.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts clearly.
- Proven ability to work independently and manage projects effectively in a remote environment.
- Experience with data visualization tools is a plus.
- Knowledge of financial instruments and markets.
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Quantitative Analyst - Financial Modeling
Posted 16 days ago
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Job Description
Our client, a leading financial institution, is looking for a highly analytical and detail-oriented Quantitative Analyst to join their esteemed team in Kitale, Trans-Nzoia, KE . This critical role involves developing, implementing, and maintaining sophisticated financial models to support trading strategies, risk management, and product development. The ideal candidate will possess a strong quantitative background, exceptional mathematical acumen, and a deep understanding of financial markets and instruments. Responsibilities include designing complex pricing and risk models for derivatives and other financial products, performing statistical analysis on large datasets, back-testing model performance, and validating model outputs. You will collaborate closely with traders, portfolio managers, and risk officers to provide quantitative insights and solutions to complex financial problems. The role requires a proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB, and experience with financial databases and tools. The ability to clearly communicate intricate quantitative concepts to non-technical stakeholders is essential. We are seeking an individual who is passionate about finance, possesses a relentless drive for accuracy, and thrives in a challenging, fast-paced environment. You will play a key role in ensuring the firm's competitive advantage through rigorous quantitative analysis and innovation. The successful candidate will be expected to stay abreast of market trends and regulatory changes, adapting models accordingly. A strong commitment to ethical practices and compliance is fundamental.
Qualifications:
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering.
- Minimum of 5 years of experience as a Quantitative Analyst or in a similar role.
- Proven experience in developing and implementing financial models (pricing, risk, econometrics).
- Strong programming skills in Python, R, C++, or MATLAB.
- Familiarity with financial markets, derivatives, and fixed income instruments.
- Excellent analytical, problem-solving, and statistical modeling skills.
- Strong communication and presentation abilities, with the capacity to explain complex quantitative concepts to diverse audiences.
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Lead Quantitative Analyst (Financial Modeling)
Posted 21 days ago
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Job Description
Our client, a prestigious financial institution, is seeking an accomplished Lead Quantitative Analyst to spearhead the development and implementation of sophisticated financial models. This is a critical, fully remote role requiring exceptional analytical prowess and deep expertise in quantitative finance. You will be responsible for designing, building, and validating complex financial models used for pricing derivatives, risk management, portfolio optimization, and algorithmic trading. Your role will involve collaborating with trading desks, risk management, and technology teams to understand their needs and translate them into robust quantitative solutions. This position demands a strong mathematical and statistical background, proficiency in programming languages such as Python, R, or C++, and extensive experience with financial modeling techniques. The ideal candidate will have a proven track record of delivering innovative solutions in a high-stakes financial environment. Excellent problem-solving skills, attention to detail, and the ability to work independently in a remote setting are essential. You will also mentor junior analysts and contribute to the strategic direction of the quantitative research team. We are looking for a highly motivated and intellectually curious individual who thrives on complex challenges and can communicate intricate concepts clearly to diverse audiences. This is a significant opportunity to influence financial strategies and drive innovation within a leading bank, all while enjoying the flexibility of a remote work arrangement. The successful candidate will ideally be located in or near **Ongata Rongai, Kajiado, KE**, but the role is entirely remote.
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Senior Quantitative Analyst - Financial Modeling
Posted 21 days ago
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Job Description
Our client is seeking a highly analytical and experienced Senior Quantitative Analyst to join their prestigious, fully remote financial services team. This role is critical for developing, implementing, and validating complex mathematical models for pricing, risk management, and trading strategies across various asset classes. You will leverage your expertise in statistics, econometrics, and programming to derive actionable insights and drive informed decision-making within the financial markets. This is an exceptional opportunity for a quantitative finance expert to contribute significantly to trading performance and risk mitigation, all while working remotely.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, backtest, and implement sophisticated quantitative models for pricing derivatives, assessing risk, and optimizing trading strategies.
- Analyze large datasets to identify market trends, correlations, and opportunities.
- Collaborate closely with traders, portfolio managers, and risk managers in a remote setting to understand their needs and develop tailored solutions.
- Ensure the accuracy, robustness, and regulatory compliance of all developed models.
- Perform rigorous validation of models, including sensitivity analysis and stress testing.
- Develop and maintain high-quality code in languages such as Python, R, C++, or similar.
- Contribute to the firm's research efforts and stay current with advancements in quantitative finance and financial engineering.
- Prepare detailed documentation of models, methodologies, and results for both technical and non-technical audiences.
- Monitor the performance of implemented models and propose necessary adjustments or enhancements.
- Communicate complex quantitative concepts clearly and concisely to stakeholders.
- Mentor junior quantitative analysts and contribute to the team's knowledge base.
Qualifications:
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Economics.
- Minimum of 7 years of experience in quantitative analysis within the financial industry, with a focus on modeling.
- Proven expertise in developing and implementing models for pricing, risk management, or algorithmic trading.
- Strong programming skills in Python, R, C++, or Java, with experience in relevant scientific libraries.
- Deep understanding of financial markets, asset classes (equities, fixed income, derivatives), and trading strategies.
- Excellent analytical, statistical, and problem-solving skills.
- Exceptional communication and interpersonal skills, with the ability to articulate complex quantitative concepts effectively in a remote environment.
- Experience with large-scale data analysis and database technologies.
- Familiarity with regulatory requirements in the financial sector (e.g., Basel Accords) is a plus.
- Ability to work independently and collaboratively in a fast-paced, fully remote setting.
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Remote Lead Quantitative Analyst - Financial Modeling
Posted 5 days ago
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Job Description
Our client, a distinguished leader in the financial services sector, is seeking a highly skilled and analytical Remote Lead Quantitative Analyst to join their esteemed team. This is a critical, fully remote role focused on developing and implementing sophisticated financial models that drive strategic decision-making and risk management across the organization. You will leverage your deep understanding of complex financial instruments, statistical modeling, and programming to build, test, and deploy cutting-edge quantitative solutions. This position offers the opportunity to work on challenging projects with a global impact, all from the convenience of your remote workspace.
Your responsibilities will include leading the design and development of complex financial models for pricing, risk assessment, and valuation of various financial products, including derivatives, equities, and fixed income. You will conduct rigorous statistical analysis, back-testing, and validation of models to ensure accuracy and reliability. Collaborating closely with traders, portfolio managers, and risk officers, you will translate their needs into actionable quantitative strategies. Developing and maintaining high-quality code in languages such as Python, R, or C++ for model implementation and integration into production systems will be a significant part of your duties. You will also stay abreast of the latest academic research and industry trends in quantitative finance, identifying opportunities to enhance existing methodologies and introduce innovative approaches.
The ideal candidate will hold a Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science, complemented by a minimum of 7 years of experience in quantitative analysis within investment banking, asset management, or a related financial institution. Demonstrated expertise in financial modeling, stochastic calculus, time series analysis, and machine learning techniques is essential. Proficiency in programming languages (Python, R, C++) and experience with financial databases and libraries (e.g., Bloomberg, FactSet) are required. Strong analytical, problem-solving, and communication skills are necessary to effectively convey complex findings to both technical and non-technical audiences. If you are a passionate quant ready to make a significant impact remotely, we encourage you to apply.
Your responsibilities will include leading the design and development of complex financial models for pricing, risk assessment, and valuation of various financial products, including derivatives, equities, and fixed income. You will conduct rigorous statistical analysis, back-testing, and validation of models to ensure accuracy and reliability. Collaborating closely with traders, portfolio managers, and risk officers, you will translate their needs into actionable quantitative strategies. Developing and maintaining high-quality code in languages such as Python, R, or C++ for model implementation and integration into production systems will be a significant part of your duties. You will also stay abreast of the latest academic research and industry trends in quantitative finance, identifying opportunities to enhance existing methodologies and introduce innovative approaches.
The ideal candidate will hold a Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science, complemented by a minimum of 7 years of experience in quantitative analysis within investment banking, asset management, or a related financial institution. Demonstrated expertise in financial modeling, stochastic calculus, time series analysis, and machine learning techniques is essential. Proficiency in programming languages (Python, R, C++) and experience with financial databases and libraries (e.g., Bloomberg, FactSet) are required. Strong analytical, problem-solving, and communication skills are necessary to effectively convey complex findings to both technical and non-technical audiences. If you are a passionate quant ready to make a significant impact remotely, we encourage you to apply.
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Lead Quantitative Analyst - Financial Modeling (Remote)
Posted 13 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is looking for a highly skilled Lead Quantitative Analyst to join their innovative and fully remote finance team. This pivotal role will involve developing sophisticated financial models, conducting complex risk analysis, and contributing to strategic decision-making processes. The ideal candidate will have a robust background in quantitative finance, econometrics, and advanced statistical modeling. You will be instrumental in designing, implementing, and validating pricing, risk, and valuation models for a wide range of financial instruments. This position demands exceptional analytical rigor, programming proficiency, and the ability to communicate complex quantitative concepts to both technical and non-technical stakeholders, all within a collaborative remote work setting.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement advanced quantitative models for financial derivatives pricing, risk management, and portfolio optimization.
- Conduct rigorous statistical analysis and back-testing of models to ensure accuracy and reliability.
- Develop and maintain robust valuation frameworks for complex financial products.
- Collaborate closely with traders, portfolio managers, and risk officers to understand their needs and provide data-driven insights.
- Build and maintain automated reporting systems for key financial metrics and model performance.
- Ensure compliance with regulatory requirements and internal policies related to model risk management.
- Research and stay current with the latest advancements in quantitative finance, machine learning, and computational finance.
- Mentor and guide junior quantitative analysts, fostering a culture of continuous learning and development.
- Develop and document model methodologies, assumptions, and limitations clearly and comprehensively.
- Present complex analytical findings and model outputs to senior management and other stakeholders in an understandable manner.
- Contribute to the enhancement of the firm's trading strategies and risk management frameworks through quantitative insights.
- Advanced degree (Master's or PhD) in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 8 years of experience in a quantitative role within the financial services industry.
- Expertise in statistical modeling, time series analysis, stochastic calculus, and financial econometrics.
- Proficiency in programming languages such as Python (with libraries like NumPy, SciPy, Pandas), R, or C++.
- Experience with financial modeling software and platforms.
- Strong understanding of financial markets, instruments, and regulatory landscapes.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex topics clearly.
- Proven ability to work independently and collaboratively in a remote team environment.
- Demonstrated leadership capabilities and experience mentoring junior staff.
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8
Remote Senior Quantitative Analyst - Financial Modeling
Posted 18 days ago
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Job Description
Our client, a leading financial institution, is seeking a highly skilled and experienced Remote Senior Quantitative Analyst to join their advanced analytics team. This fully remote position is ideal for individuals with a strong background in financial modeling, statistical analysis, and programming. You will be responsible for developing, testing, and implementing complex quantitative models used for risk management, trading strategies, and portfolio optimization. Key tasks include designing and validating pricing models, risk measurement tools, and algorithmic trading systems. You will work with large datasets, performing rigorous statistical analysis and ensuring the accuracy and robustness of model outputs. Proficiency in programming languages such as Python, R, C++, or Java, along with experience in financial modeling software and databases, is essential. The ideal candidate possesses exceptional analytical and problem-solving skills, a deep understanding of financial markets, and a strong academic record in a quantitative field. This role demands a self-motivated and detail-oriented professional who can work independently in a remote setting while collaborating effectively with portfolio managers, traders, and other stakeholders. Excellent communication skills are required to articulate complex technical concepts to non-technical audiences. This challenging remote role, conceptually tied to **Naivasha, Nakuru, KE**, offers the opportunity to make significant contributions to the firm's quantitative research and development efforts. A master's degree or Ph.D. in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering is required. Prior experience in quantitative finance or a related field is highly desirable. A proven ability to develop and implement production-level code for financial applications is critical. Familiarity with machine learning techniques applied to finance is a strong plus.
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