22 Senior Quantitative Analyst Risk Modeling jobs in Kenya
Senior Quantitative Analyst - Risk Modeling
Posted 20 days ago
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Job Description
Our client, a leading international financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their remote risk modeling team. This is a pivotal, fully remote role where you will be responsible for developing, validating, and implementing sophisticated quantitative models for credit risk, market risk, and operational risk assessment. The ideal candidate possesses a strong background in finance, mathematics, statistics, and programming, with a proven ability to translate complex financial concepts into robust analytical frameworks. You will work closely with risk management, trading, and technology departments to ensure models are aligned with business objectives and regulatory requirements. This position demands exceptional problem-solving skills, meticulous attention to detail, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. Your expertise will be instrumental in safeguarding the institution's financial health.
Key Responsibilities:
Candidates must hold a Master's degree or PhD in a quantitative field such as Finance, Mathematics, Statistics, Economics, or Physics. A minimum of 7 years of experience in quantitative analysis, risk modeling, or a related role within the financial services industry is required. Proven experience with programming languages like Python, R, C++, or Java is essential. Familiarity with financial modeling libraries and platforms is highly advantageous. Strong understanding of financial markets, derivatives, and risk management principles is mandatory. Excellent analytical, problem-solving, and communication skills are critical for effective remote collaboration. This role is based in **Nyeri, Nyeri, KE**, but is performed entirely remotely.
Key Responsibilities:
- Develop, implement, and maintain quantitative models for risk assessment, pricing, and valuation across various financial products.
- Perform rigorous model validation, back-testing, and sensitivity analysis to ensure model accuracy and robustness.
- Conduct in-depth research into advanced statistical and financial modeling techniques.
- Collaborate with business units to understand their needs and translate them into quantitative solutions.
- Work closely with IT departments to ensure efficient implementation and deployment of models.
- Ensure all models comply with internal policies and external regulatory requirements (e.g., Basel Accords, IFRS 9).
- Prepare comprehensive documentation for model development, validation, and implementation.
- Communicate model findings, limitations, and recommendations to senior management and other stakeholders.
- Stay abreast of the latest developments in quantitative finance, risk management, and regulatory landscapes.
- Mentor junior quantitative analysts and contribute to the team's technical growth.
Candidates must hold a Master's degree or PhD in a quantitative field such as Finance, Mathematics, Statistics, Economics, or Physics. A minimum of 7 years of experience in quantitative analysis, risk modeling, or a related role within the financial services industry is required. Proven experience with programming languages like Python, R, C++, or Java is essential. Familiarity with financial modeling libraries and platforms is highly advantageous. Strong understanding of financial markets, derivatives, and risk management principles is mandatory. Excellent analytical, problem-solving, and communication skills are critical for effective remote collaboration. This role is based in **Nyeri, Nyeri, KE**, but is performed entirely remotely.
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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 22 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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Lead Insurance Risk Modeler
Posted 4 days ago
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Job Description
Our client, a prominent player in the insurance industry, is searching for a highly accomplished Lead Insurance Risk Modeler to join their fully remote actuarial and risk management team. This pivotal role requires a deep understanding of quantitative risk assessment, financial modeling, and regulatory compliance within the insurance sector. You will be instrumental in developing, validating, and implementing sophisticated risk models to assess and manage diverse insurance portfolios, including life, health, and general insurance products. As a remote Lead, you will guide a team of talented modelers, fostering a collaborative and high-performing virtual environment. Your responsibilities will include conducting in-depth statistical analysis, stochastic modeling, and scenario testing to quantify financial risks, such as market risk, credit risk, and operational risk. You will ensure that all models adhere to internal governance frameworks and external regulatory requirements (e.g., IFRS 17, Solvency II). This position demands exceptional proficiency in programming languages commonly used in actuarial science (e.g., Python, R, SQL, SAS) and a thorough understanding of actuarial principles and methodologies. The ideal candidate will possess strong analytical and problem-solving skills, with a proven ability to translate complex financial concepts into clear, actionable insights for senior management and stakeholders. You will also be responsible for mentoring junior team members, driving innovation in modeling techniques, and contributing to the strategic direction of the risk management function. This is an exceptional opportunity to make a significant impact on the financial health and stability of a leading insurance organization, all while enjoying the flexibility of a remote work arrangement. Our client values expertise, collaboration, and a commitment to ethical practices in risk management.
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Lead Financial Risk Modeler
Posted 15 days ago
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Job Description
Our client, a prominent financial institution, is seeking a highly analytical and experienced Lead Financial Risk Modeler to join our fully remote Risk Management division. This senior role will be instrumental in developing, validating, and implementing sophisticated quantitative models to assess and manage various financial risks, including credit, market, and operational risks. We operate as a remote-first organization, fostering a dynamic and collaborative virtual environment where your expertise will drive critical decision-making.
The Lead Financial Risk Modeler will be responsible for designing, building, and maintaining complex statistical and financial models using advanced programming languages and tools such as Python, R, or MATLAB. You will conduct rigorous backtesting and stress testing of models to ensure their accuracy, robustness, and compliance with regulatory requirements (e.g., Basel III, IFRS 9). A key aspect of this role involves collaborating with business units, IT, and compliance teams to gather data, understand business needs, and effectively implement model solutions. You will also be responsible for documenting model methodologies, assumptions, and validation processes comprehensively.
Furthermore, the successful candidate will play a pivotal role in mentoring and guiding a team of quantitative analysts, fostering their professional development and ensuring the delivery of high-quality risk models. You will stay abreast of the latest developments in financial modeling, regulatory changes, and industry best practices. Presenting complex modeling results and insights to senior management and other stakeholders in a clear and concise manner will be a crucial function. This position offers a challenging and rewarding opportunity to leverage your quantitative skills to shape the risk management strategies of our organization, supporting our operations from our virtual hub, and contributing to our financial health within Kisumu, Kisumu, KE .
The Lead Financial Risk Modeler will be responsible for designing, building, and maintaining complex statistical and financial models using advanced programming languages and tools such as Python, R, or MATLAB. You will conduct rigorous backtesting and stress testing of models to ensure their accuracy, robustness, and compliance with regulatory requirements (e.g., Basel III, IFRS 9). A key aspect of this role involves collaborating with business units, IT, and compliance teams to gather data, understand business needs, and effectively implement model solutions. You will also be responsible for documenting model methodologies, assumptions, and validation processes comprehensively.
Furthermore, the successful candidate will play a pivotal role in mentoring and guiding a team of quantitative analysts, fostering their professional development and ensuring the delivery of high-quality risk models. You will stay abreast of the latest developments in financial modeling, regulatory changes, and industry best practices. Presenting complex modeling results and insights to senior management and other stakeholders in a clear and concise manner will be a crucial function. This position offers a challenging and rewarding opportunity to leverage your quantitative skills to shape the risk management strategies of our organization, supporting our operations from our virtual hub, and contributing to our financial health within Kisumu, Kisumu, KE .
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Lead Actuarial Analyst - Risk Modeling
Posted 6 days ago
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Job Description
Our client is actively seeking a seasoned Lead Actuarial Analyst specializing in Risk Modeling to join their expanding team. This is a prime opportunity for an experienced professional to contribute significantly to our client's strategic risk management initiatives. As a fully remote role, this position offers unparalleled flexibility and the chance to work with a globally distributed team. The successful candidate will be responsible for developing, validating, and implementing sophisticated actuarial models to assess and mitigate various risks within the insurance landscape. Your deep understanding of statistical techniques and insurance products will be paramount in driving informed decision-making and ensuring financial solvency.
Responsibilities:
Responsibilities:
- Develop and maintain advanced actuarial models for risk assessment, pricing, and reserving across multiple lines of insurance business.
- Conduct rigorous validation of existing models and explore innovative approaches for model enhancement.
- Analyze complex datasets to identify trends, quantify risks, and provide actionable insights to senior management.
- Collaborate closely with underwriting, claims, and finance departments to ensure alignment of risk management strategies.
- Interpret and communicate complex actuarial findings to both technical and non-technical stakeholders.
- Ensure compliance with regulatory requirements and industry best practices in actuarial modeling.
- Stay current with emerging risk management techniques, actuarial software, and predictive analytics tools.
- Mentor and guide junior actuarial team members, fostering a culture of continuous learning and development.
- Contribute to the development of new insurance products by providing robust risk analysis and pricing recommendations.
- Design and implement stress testing and scenario analysis frameworks to evaluate the impact of adverse events.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
- Fellow of the Actuarial Society (or equivalent designation) with a strong emphasis on risk management.
- Minimum of 10 years of progressive experience in actuarial roles within the insurance industry.
- Demonstrated expertise in developing and implementing sophisticated risk models (e.g., Solvency II, IFRS 17, catastrophe modeling).
- Proficiency in actuarial software and programming languages such as R, Python, SAS, or SQL.
- Exceptional analytical, problem-solving, and critical thinking abilities.
- Excellent communication and presentation skills, with the ability to convey technical information clearly and concisely.
- Proven leadership experience and the ability to mentor and develop a team.
- Familiarity with various insurance product types (e.g., life, health, property & casualty).
- Experience with data visualization tools is a plus.
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Principal Actuarial Analyst - Risk Modeling
Posted 6 days ago
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Job Description
Our client, a leading entity in the insurance sector, is seeking an accomplished Principal Actuarial Analyst to spearhead their risk modeling initiatives. This is a fully remote position, providing a unique opportunity to contribute significantly without geographical constraints. You will be responsible for developing, validating, and implementing sophisticated actuarial models to assess and manage financial risks. This includes pricing complex insurance products, evaluating reserve adequacy, and optimizing capital allocation. Your expertise will be crucial in forecasting future liabilities and ensuring the financial stability and profitability of the organization. The ideal candidate will possess a strong foundation in actuarial science, with a deep understanding of statistical modeling, probability theory, and financial mathematics. Proficiency in actuarial software (e.g., Prophet, GGY AXIS) and programming languages (e.g., Python, R) is essential. You will lead projects, mentor junior actuaries, and collaborate effectively with underwriting, claims, and finance departments. A proven track record of delivering insightful analysis and strategic recommendations is required. Strong communication and presentation skills are vital for articulating complex actuarial concepts to diverse audiences, including senior management. This role demands exceptional analytical rigor, attention to detail, and a commitment to professional development. You will play a key role in shaping the company's risk management strategies and contributing to its long-term success. Embrace the challenges and rewards of working in a dynamic, remote-first environment. Our client is committed to fostering a culture of continuous learning and innovation. Your contributions will be highly valued as you help navigate the evolving landscape of insurance risk. This position, while connected to the region of Nyeri, Nyeri, KE , is a fully remote role.
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Remote Insurance Risk Modeler
Posted 13 days ago
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Job Description
Our client is seeking a highly skilled and detail-oriented Remote Insurance Risk Modeler to join their growing team. This is a fully remote opportunity, allowing you to contribute from anywhere in Kenya. You will be instrumental in developing, implementing, and maintaining sophisticated risk models used across the insurance business. This role involves analyzing insurance data to assess and quantify various risks, including but not limited to underwriting, market, operational, and credit risks. Your expertise will directly influence pricing strategies, capital allocation, and regulatory compliance. The ideal candidate will have a strong quantitative background, proficiency in actuarial software and programming, and a thorough understanding of insurance principles. You will work collaboratively with actuaries, underwriters, and finance departments, providing critical insights and ensuring the financial health and stability of the organization. This position is key to navigating the complexities of the insurance landscape and safeguarding our client's future.
Responsibilities:
Responsibilities:
- Develop, validate, and implement statistical and actuarial models for risk assessment and pricing.
- Analyze large datasets to identify risk drivers and quantify potential financial impacts.
- Conduct stress testing and scenario analysis to evaluate the resilience of the insurance portfolio.
- Monitor model performance and conduct regular reviews and updates.
- Collaborate with underwriting and claims teams to provide data-driven risk insights.
- Ensure compliance with regulatory requirements and industry best practices.
- Prepare detailed reports and presentations on risk exposures and mitigation strategies.
- Contribute to the development of new insurance products by assessing associated risks.
- Utilize advanced statistical software and programming languages for model development and analysis.
- Bachelor's degree in Actuarial Science, Statistics, Mathematics, Finance, or a related quantitative field. Actuarial exams are highly desirable.
- Minimum of 3-5 years of experience in actuarial or risk modeling within the insurance industry.
- Proficiency in actuarial modeling software (e.g., Prophet, Remetrica) and programming languages (e.g., R, Python, SQL).
- Strong understanding of insurance products, underwriting principles, and risk management frameworks.
- Experience with regulatory frameworks (e.g., IFRS 17, Solvency II) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to articulate complex findings.
- Ability to work independently in a remote setting and manage multiple priorities.
- Proven ability to work effectively within a cross-functional team.
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7
Senior Insurance Risk Modeler
Posted 22 days ago
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Job Description
Our client, a prominent international insurance group, is actively seeking a highly skilled and experienced Senior Insurance Risk Modeler to join their innovative, fully remote team. This position is essential for bolstering the company's risk management framework and ensuring robust financial stability. You will be responsible for developing, implementing, and maintaining sophisticated quantitative models that assess and quantify various risks faced by the organization, including market risk, credit risk, operational risk, and insurance risk. Your expertise will be critical in forecasting potential losses, setting risk appetites, and advising senior management on risk mitigation strategies. This role involves in-depth data analysis, statistical modeling, and the application of advanced mathematical techniques to understand complex risk exposures. You will work closely with actuarial, finance, and compliance departments to integrate risk modeling insights into strategic planning and decision-making processes. A key aspect of the job is ensuring that risk models are compliant with regulatory requirements (e.g., Solvency II, ORSA) and that their underlying assumptions and methodologies are well-documented and validated. You will also play a crucial role in stress testing and scenario analysis to evaluate the company's resilience under adverse market conditions. The ability to translate complex quantitative findings into clear, actionable recommendations for business leaders is paramount. We are looking for an individual with exceptional analytical skills, a strong understanding of financial markets and insurance products, and a proven ability to work autonomously and collaboratively in a remote environment. This is a unique opportunity to significantly influence risk management practices at a leading insurance firm from your chosen location.
Responsibilities:
Qualifications:
Responsibilities:
- Develop and validate quantitative risk models for the insurance sector.
- Assess and quantify market, credit, operational, and insurance risks.
- Conduct stress testing and scenario analysis.
- Provide insights for risk appetite setting and mitigation strategies.
- Ensure model compliance with regulatory standards.
- Collaborate with actuarial, finance, and compliance teams.
- Prepare detailed reports on risk exposures and model performance.
- Stay abreast of new modeling techniques and regulatory changes.
Qualifications:
- Master's degree in Quantitative Finance, Statistics, Mathematics, or a related field.
- Minimum of 6 years of experience in risk modeling within the financial services or insurance industry.
- Proven expertise in statistical modeling, data analysis, and programming (e.g., Python, R, SQL).
- In-depth knowledge of risk management frameworks and regulatory requirements.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation abilities.
- Ability to work independently and manage projects effectively in a remote setting.
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Senior Risk Modeler - Actuarial
Posted 22 days ago
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Job Description
Our client is seeking a highly skilled Senior Risk Modeler to join their actuarial team. This is a fully remote position, allowing you to work from the convenience of your home office. You will play a critical role in developing, implementing, and validating sophisticated risk models for the insurance sector. This involves working with large datasets to quantify and forecast potential financial risks, ensuring regulatory compliance, and providing insights to inform strategic decision-making. The ideal candidate will possess a strong actuarial background, coupled with advanced analytical and programming skills. Responsibilities include building and maintaining actuarial models for pricing, reserving, and capital management, conducting sensitivity analyses and scenario testing, and collaborating with underwriting, claims, and finance departments to understand and mitigate risks. You will also be responsible for documenting model methodologies, assumptions, and results clearly and comprehensively. Staying current with industry best practices, regulatory changes, and emerging risk management techniques is paramount. This role requires a keen eye for detail, exceptional problem-solving abilities, and the capacity to translate complex quantitative findings into actionable business recommendations. The ability to work independently, manage multiple projects simultaneously, and communicate effectively with diverse stakeholders is essential. This is an excellent opportunity to contribute to a leading organization in the insurance industry while enjoying the benefits of a remote work environment. The core team is based in **Ruiru, Kiambu, KE**, but this role is fully remote.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain advanced actuarial risk models.
- Analyze and quantify financial risks associated with insurance products.
- Conduct scenario analysis, stress testing, and sensitivity testing on models.
- Ensure models comply with regulatory requirements and industry standards.
- Collaborate with various departments to provide risk insights and recommendations.
- Document model methodologies, assumptions, and results thoroughly.
- Stay abreast of the latest developments in actuarial science and risk management.
- Present findings and recommendations to senior management and stakeholders.
- Associate or Fellow of a recognized Actuarial Society.
- Master's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
- 5+ years of experience in actuarial modeling within the insurance industry.
- Proficiency in actuarial software and programming languages (e.g., R, Python, SQL, SAS).
- Strong understanding of insurance products, risk management principles, and regulatory frameworks.
- Excellent analytical, problem-solving, and quantitative skills.
- Effective communication and interpersonal skills, with the ability to explain complex concepts.
- Proven ability to work independently and manage projects efficiently.
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