403 Risk Managers jobs in Kenya
Head of Financial Risk Management
20100 Mwembe
KES6000000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client, a leading financial institution, is seeking a dynamic and experienced Head of Financial Risk Management to lead their risk operations. This is a fully remote position, offering the opportunity to manage risk strategies from anywhere. The ideal candidate will possess a deep understanding of financial markets, regulatory frameworks, and various risk disciplines, including credit risk, market risk, operational risk, and liquidity risk. You will be responsible for developing and implementing comprehensive risk management frameworks, policies, and procedures to safeguard the organization's financial health and ensure compliance. Key responsibilities include conducting risk assessments, developing risk mitigation strategies, monitoring key risk indicators, and reporting on risk exposures to senior management and regulatory bodies. You will lead a team of risk professionals, providing guidance, mentorship, and strategic direction. A strong analytical mindset, exceptional problem-solving skills, and the ability to interpret complex financial data are essential. Excellent communication and presentation skills are required to articulate risk-related issues and recommendations to diverse stakeholders. We are seeking a visionary leader who can proactively identify and manage emerging risks in the financial landscape and drive a strong risk culture throughout the organization. This role is critical for maintaining the stability and integrity of our financial operations. Experience with advanced risk modeling techniques and regulatory compliance (e.g., Basel III/IV) is highly desirable. While our primary operations may be associated with **Naivasha, Nakuru, KE**, this position is entirely remote.
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0
Director of Financial Risk Management
50100 Kakamega, Western
KES250000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a prominent financial institution, is seeking a highly experienced and strategic Director of Financial Risk Management to lead their sophisticated, fully remote risk management division. This role is paramount in safeguarding the institution's financial health by developing, implementing, and overseeing comprehensive risk management frameworks, policies, and procedures. As a remote-first organization, we rely on advanced digital platforms for communication, data analysis, and collaborative decision-making, ensuring seamless operations and effective oversight from anywhere. The ideal candidate will possess deep expertise in credit risk, market risk, operational risk, and regulatory compliance within the banking sector.
Key Responsibilities:
Key Responsibilities:
- Develop and implement robust financial risk management strategies, policies, and procedures across the organization.
- Oversee the identification, assessment, measurement, and mitigation of financial risks, including market, credit, liquidity, and operational risks.
- Ensure compliance with all applicable banking regulations and reporting requirements (e.g., Basel Accords, local regulatory mandates).
- Lead and mentor a team of risk management professionals, fostering a culture of risk awareness and accountability within a remote setting.
- Design and manage stress testing and scenario analysis programs to evaluate the institution's resilience.
- Develop and maintain risk models, methodologies, and Key Risk Indicators (KRIs).
- Present risk reports and strategic recommendations to senior management and the Board of Directors.
- Collaborate with business units to integrate risk management principles into strategic planning and day-to-day operations.
- Stay current with industry best practices, emerging risks, and regulatory changes.
- Manage relationships with external auditors and regulators on risk-related matters.
- Master's degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field. A Ph.D. is a plus.
- A minimum of 10 years of progressive experience in financial risk management, with at least 5 years in a leadership role within the banking or financial services industry.
- Strong understanding of regulatory frameworks governing financial institutions.
- Proven expertise in quantitative risk modeling, financial analytics, and risk assessment techniques.
- Excellent knowledge of financial markets, instruments, and trading strategies.
- Demonstrated ability to lead and manage teams effectively in a remote work environment.
- Exceptional analytical, problem-solving, and decision-making skills.
- Strong communication and presentation skills, with the ability to convey complex information clearly and concisely to various stakeholders.
- Professional certifications such as FRM, CFA, or PRM are highly desirable.
- Proficiency in risk management software and data analytics tools.
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1
Head of Financial Risk Management
00500 Gathiruini
KES180000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a leading financial institution, is seeking a seasoned Head of Financial Risk Management to lead their risk mitigation strategies. This is a fully remote, high-impact role that requires a strategic thinker with extensive experience in financial markets and risk assessment. You will be responsible for developing, implementing, and overseeing the company's comprehensive risk management framework, including market risk, credit risk, operational risk, and liquidity risk. Key responsibilities include identifying potential risks, assessing their impact, and designing strategies to minimize exposure. You will lead a team of risk analysts, providing guidance and oversight on all risk-related activities. The ideal candidate will possess a deep understanding of financial regulations, sophisticated risk modeling techniques, and a proven ability to translate complex financial data into actionable insights. Excellent leadership, communication, and decision-making skills are crucial. You must be adept at presenting complex risk analyses to senior management and the board of directors. Experience with financial risk management software and quantitative analysis tools is essential. This role requires a proactive and analytical approach to safeguarding the organization's financial health and stability. You will be instrumental in ensuring compliance with regulatory requirements and maintaining the company's strong financial standing. This position is perfect for a senior finance professional looking for a challenging remote leadership opportunity. The role's administrative context is Mlolongo, Machakos, KE , but the position is fully remote, allowing you to work from anywhere and contribute to our global financial operations.
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2
Senior Quantitative Analyst - Financial Risk Management
20200 Kapsuser
KES300000 Annually
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Posted 1 day ago
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Job Description
Our client, a prestigious financial institution, is seeking an accomplished Senior Quantitative Analyst to bolster their financial risk management team. This role is entirely remote, offering a unique opportunity for a highly analytical and technically proficient individual to contribute to critical risk modeling and assessment initiatives from anywhere. You will be instrumental in developing, validating, and implementing sophisticated quantitative models to measure and manage various financial risks, including market risk, credit risk, and operational risk.
Your responsibilities will encompass designing, building, and back-testing complex mathematical and statistical models using advanced programming techniques. You will analyze large datasets to identify risk drivers, trends, and patterns, and conduct stress testing and scenario analysis to assess the impact of adverse market conditions. A crucial aspect of this role involves validating existing models to ensure their accuracy, reliability, and compliance with regulatory requirements (e.g., Basel III, IFRS 9). You will collaborate closely with risk managers, traders, and business line heads to understand their needs and translate them into quantitative solutions. Developing and maintaining clear, concise documentation for all models and methodologies is essential. You will also contribute to the development of risk reporting frameworks and dashboards, presenting complex findings to senior management and regulatory bodies. Staying abreast of the latest developments in quantitative finance, financial modeling techniques, and regulatory changes is critical for success in this position. You will also play a key role in mentoring junior analysts and contributing to the overall intellectual capital of the team.
Qualifications:
Your responsibilities will encompass designing, building, and back-testing complex mathematical and statistical models using advanced programming techniques. You will analyze large datasets to identify risk drivers, trends, and patterns, and conduct stress testing and scenario analysis to assess the impact of adverse market conditions. A crucial aspect of this role involves validating existing models to ensure their accuracy, reliability, and compliance with regulatory requirements (e.g., Basel III, IFRS 9). You will collaborate closely with risk managers, traders, and business line heads to understand their needs and translate them into quantitative solutions. Developing and maintaining clear, concise documentation for all models and methodologies is essential. You will also contribute to the development of risk reporting frameworks and dashboards, presenting complex findings to senior management and regulatory bodies. Staying abreast of the latest developments in quantitative finance, financial modeling techniques, and regulatory changes is critical for success in this position. You will also play a key role in mentoring junior analysts and contributing to the overall intellectual capital of the team.
Qualifications:
- Master's or PhD in a quantitative field such as Financial Engineering, Statistics, Mathematics, Physics, Economics, or a related discipline.
- Minimum of 5 years of experience in quantitative analysis or financial modeling within the banking or financial services industry.
- Proven expertise in developing and validating risk models (market risk, credit risk, operational risk, VaR, CVA, etc.).
- Advanced proficiency in programming languages commonly used in quant finance, such as Python (NumPy, SciPy, Pandas), R, C++, or MATLAB.
- Strong knowledge of statistical modeling, econometrics, time-series analysis, and machine learning techniques.
- Experience with financial databases and data manipulation tools.
- Familiarity with financial regulations and compliance requirements in the banking sector.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
- Ability to work independently and manage complex projects in a remote environment.
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3
Senior Quantitative Analyst - Financial Risk Management
20500 Kapsuser
KES200000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a prestigious financial institution, is actively seeking a highly skilled Senior Quantitative Analyst to join their fully remote risk management department. This role is pivotal in developing and implementing sophisticated quantitative models used for assessing and mitigating financial risks across various portfolios. You will be instrumental in designing, testing, and deploying complex models for market risk, credit risk, operational risk, and regulatory compliance. The ideal candidate will possess a strong foundation in econometrics, statistics, and financial mathematics, coupled with advanced programming skills in languages such as Python, R, or C++. You will work collaboratively with trading desks, portfolio managers, and compliance officers to translate complex financial concepts into robust analytical frameworks. As a remote team member, you will leverage cutting-edge collaboration tools to ensure seamless communication and project delivery. Your responsibilities will include performing in-depth quantitative analysis, developing pricing models, conducting stress testing and scenario analysis, and contributing to regulatory reporting requirements. You will also be involved in validating existing models, identifying model limitations, and proposing enhancements to ensure accuracy and relevance. A deep understanding of financial instruments, derivatives, and trading strategies is essential. The ability to communicate complex technical findings to non-technical stakeholders is paramount. If you are a meticulous, analytically driven professional eager to apply your quantitative expertise in a challenging and rewarding remote environment, this opportunity is ideal. You will play a crucial role in safeguarding the financial health of the organization through rigorous quantitative analysis and risk modeling.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and validate quantitative models for market risk, credit risk, and operational risk assessment.
- Design and perform complex statistical analysis and financial modeling to support risk management strategies.
- Conduct stress testing and scenario analysis to evaluate portfolio resilience under adverse market conditions.
- Contribute to the development and enhancement of pricing models for various financial instruments.
- Collaborate with front-office and middle-office teams to understand their analytical needs and provide solutions.
- Ensure compliance with regulatory requirements (e.g., Basel III, IFRS 9) through robust model development and validation.
- Communicate complex quantitative findings and model limitations clearly to management and stakeholders.
- Research and apply advanced statistical techniques and machine learning algorithms to risk modeling.
- Maintain and enhance existing quantitative models, ensuring their accuracy and relevance.
- Stay current with industry best practices and regulatory changes in financial risk management.
- Master's or Ph.D. in a quantitative field such as Finance, Economics, Statistics, Mathematics, or Physics.
- Minimum of 5 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 MATLAB.
- Strong knowledge of financial markets, instruments, and derivatives.
- Experience with statistical modeling, econometrics, and machine learning techniques.
- Familiarity with regulatory frameworks affecting financial institutions.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills for conveying technical information to diverse audiences.
- Proven ability to work independently and collaboratively in a remote setting.
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4
Senior Quantitative Analyst - Financial Risk Management
60100 Embu, Eastern
KES200000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client, a prestigious global financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their innovative, fully remote risk management division. This role is critical in developing and implementing sophisticated financial models to assess and mitigate various forms of risk, including market, credit, and operational risk. You will leverage advanced mathematical, statistical, and computational techniques to build, validate, and maintain complex models that drive strategic decision-making across the organization. The ideal candidate will possess a profound understanding of financial markets, derivatives, and regulatory frameworks, coupled with exceptional analytical and programming capabilities.
You will work closely with trading desks, portfolio managers, and other stakeholders to provide quantitative insights and solutions. Responsibilities include designing and implementing pricing models, risk measurement tools, and stress testing methodologies. A strong emphasis will be placed on model validation, back-testing, and ensuring adherence to industry best practices and regulatory requirements. This is an opportunity to work on challenging quantitative problems in a fast-paced, collaborative, and entirely remote environment, contributing to the stability and growth of the firm. Proficiency in programming languages such as Python, C++, or R, and experience with financial modeling libraries and databases are essential. You should be adept at communicating complex quantitative concepts to both technical and non-technical audiences.
Key Responsibilities:
You will work closely with trading desks, portfolio managers, and other stakeholders to provide quantitative insights and solutions. Responsibilities include designing and implementing pricing models, risk measurement tools, and stress testing methodologies. A strong emphasis will be placed on model validation, back-testing, and ensuring adherence to industry best practices and regulatory requirements. This is an opportunity to work on challenging quantitative problems in a fast-paced, collaborative, and entirely remote environment, contributing to the stability and growth of the firm. Proficiency in programming languages such as Python, C++, or R, and experience with financial modeling libraries and databases are essential. You should be adept at communicating complex quantitative concepts to both technical and non-technical audiences.
Key Responsibilities:
- Develop, implement, and validate quantitative models for pricing financial instruments and managing risk.
- Perform complex data analysis, statistical modeling, and back-testing of model performance.
- Contribute to the development of risk measurement methodologies, including VaR, Expected Shortfall, and stress testing.
- Collaborate with front-office and middle-office teams to provide quantitative support and solutions.
- Ensure all models comply with regulatory requirements (e.g., Basel III/IV, IFRS 9) and internal policies.
- Research and propose innovative quantitative techniques to address emerging financial risks.
- Develop robust code for model implementation and deployment in production environments.
- Communicate model assumptions, methodologies, and results effectively to senior management and regulatory bodies.
- Mentor junior analysts and contribute to the team's knowledge base and best practices.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, or Computer Science.
- Minimum of 5-7 years of relevant experience in quantitative analysis, risk management, or financial modeling within the financial services industry.
- Deep understanding of financial markets, derivatives, fixed income, and equity products.
- Strong proficiency in at least one programming language (e.g., Python, C++, R) and experience with quantitative libraries.
- Expertise in statistical modeling, econometrics, time series analysis, and machine learning.
- Familiarity with financial databases (e.g., Bloomberg, Reuters) and large-scale data manipulation.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex quantitative concepts clearly.
- Ability to work independently and collaboratively in a remote, international team setting.
This advertiser has chosen not to accept applicants from your region.
5
Senior Quantitative Analyst - Financial Risk Management
70100 Abothuguchi West
KES700000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client, a prominent financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their sophisticated risk management team. This position is 100% remote, offering unparalleled flexibility. You will play a crucial role in developing, implementing, and validating complex financial models to assess and manage market, credit, and operational risks. The ideal candidate will have a strong academic background in a quantitative discipline, extensive experience in financial modeling, and a deep understanding of regulatory requirements. This role demands exceptional analytical prowess, coding proficiency, and the ability to translate intricate financial concepts into actionable insights.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement quantitative models for risk assessment, pricing, and valuation of financial instruments.
- Validate and back-test existing models to ensure accuracy, robustness, and compliance with regulatory standards.
- Analyze large datasets to identify trends, patterns, and potential risks.
- Develop and maintain robust code in languages such as Python, R, or C++ for model implementation and data analysis.
- Collaborate with trading desks, portfolio managers, and risk officers to provide quantitative support and insights.
- Contribute to the development of risk management policies and procedures.
- Stay current with advancements in quantitative finance, financial regulations, and relevant technologies.
- Prepare clear and concise documentation for models and methodologies.
- Present complex findings and recommendations to both technical and non-technical audiences.
- Effectively manage project timelines and deliverables in a remote work environment.
- Master's degree or Ph.D. in Mathematics, Statistics, Physics, Economics, or a related quantitative field.
- Minimum of 6 years of relevant experience in quantitative analysis, risk management, or financial modeling within the banking or financial services sector.
- Proven expertise in statistical modeling, time series analysis, and financial econometrics.
- Strong programming skills in Python, R, C++, or similar languages.
- Thorough understanding of financial markets, derivatives, and various risk management frameworks (e.g., VaR, CVA).
- Experience with regulatory requirements (e.g., Basel Accords) is a significant plus.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a fully remote setting.
- Demonstrated ability to explain complex quantitative concepts to diverse audiences.
This advertiser has chosen not to accept applicants from your region.
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6
Senior Quantitative Analyst - Financial Risk Management
00100 Abothuguchi West
KES180000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client, a distinguished financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their remote-based risk management team. This pivotal role involves developing, implementing, and maintaining complex mathematical models to assess and manage financial risks across various portfolios. You will be instrumental in driving data-driven decision-making by providing in-depth analysis, insights, and risk metrics to senior management. The ideal candidate will possess a strong foundation in finance, statistics, econometrics, and programming, with a proven ability to apply these skills to real-world financial challenges. This is a fully remote position, demanding excellent self-management, communication, and collaboration skills to thrive within a distributed team.
Responsibilities:
Qualifications:
Responsibilities:
- Develop, validate, and implement quantitative models for risk assessment, pricing, and hedging of financial instruments (e.g., derivatives, credit, market risk).
- Conduct rigorous statistical analysis and back-testing of models to ensure their accuracy and effectiveness.
- Analyze large datasets to identify trends, patterns, and potential risk exposures.
- Create clear and concise reports and visualizations summarizing risk assessments and model performance for stakeholders.
- Collaborate with front-office, trading, and compliance teams to understand business needs and translate them into quantitative solutions.
- Stay abreast of regulatory changes and industry best practices in financial risk management.
- Develop and maintain robust code for model implementation, testing, and production deployment using languages like Python, R, or C++.
- Contribute to the enhancement and optimization of existing risk management frameworks and methodologies.
- Mentor junior analysts and contribute to the team's overall technical expertise.
- Effectively communicate complex quantitative concepts and findings to both technical and non-technical audiences in a remote setting.
- Ensure compliance with internal policies and external regulations.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Economics, or Physics.
- Minimum of 6 years of relevant experience in quantitative analysis, risk management, or financial modeling.
- Strong understanding of financial markets, products, and risk management principles.
- Expertise in statistical modeling, econometrics, and time-series analysis.
- Proficiency in programming languages commonly used in finance (e.g., Python, R, C++, SQL).
- Experience with risk management software and platforms is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex concepts clearly.
- Proven ability to work independently and collaboratively in a remote team environment.
- Detail-oriented with a commitment to accuracy and precision.
This advertiser has chosen not to accept applicants from your region.
7
Senior Quantitative Analyst - Financial Risk Management
50100 Kakamega, Western
KES350000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
We are seeking a highly skilled Senior Quantitative Analyst specializing in Financial Risk Management to join our leading financial institution. This is a fully remote position, allowing you to leverage your analytical prowess and contribute to robust risk frameworks from anywhere. You will be responsible for developing, validating, and implementing sophisticated quantitative models to assess and manage financial risks, including market risk, credit risk, and operational risk. Your duties will involve rigorous statistical analysis, data mining, and the application of advanced mathematical techniques to financial data. You will also play a key role in regulatory compliance, ensuring our risk models meet stringent industry standards and reporting requirements. The ideal candidate possesses a strong academic background in a quantitative field (e.g., Mathematics, Statistics, Physics, Economics, Finance), a deep understanding of financial markets, and extensive experience with programming languages commonly used in quantitative finance, such as Python, R, or C++. You should have a proven ability to develop and test complex financial models, perform sensitivity analysis, and present intricate findings clearly to both technical and non-technical audiences. This role demands exceptional problem-solving abilities, meticulous attention to detail, and the capacity to work autonomously in a remote setting. You will be instrumental in safeguarding the institution's financial health by identifying, measuring, and mitigating potential risks. We value individuals who are intellectually curious, results-driven, and possess strong communication and collaboration skills. A Master's degree or PhD in a quantitative discipline is required, along with a minimum of 7 years of experience in quantitative finance, risk management, or a related field. Experience with large datasets and Big Data technologies is a plus. You will be involved in stress testing, scenario analysis, and contributing to the strategic direction of our risk management practices. The ability to stay abreast of evolving financial regulations and market dynamics is crucial. Your insights will guide critical risk management decisions and contribute to the overall stability and profitability of the organization. We seek a candidate who can drive innovation in risk modeling and ensure the highest levels of analytical integrity. This is a challenging and impactful opportunity for a seasoned professional looking to make a significant contribution to the financial industry in a flexible, remote work environment. Your expertise will be vital in navigating the complexities of the global financial landscape and ensuring our resilience against emerging threats. We expect a proactive approach to problem-solving and a commitment to continuous learning and professional development.
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8
Senior Quantitative Analyst - Financial Risk Management
60100 Embu, Eastern
KES6000000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly skilled and analytical Senior Quantitative Analyst to join their dynamic risk management team. This hybrid role offers the flexibility to work both remotely and from our offices in Embu, Embu, KE , providing a balance of autonomy and team collaboration. The successful candidate will be instrumental in developing and implementing sophisticated quantitative models to assess, manage, and mitigate various financial risks, including market risk, credit risk, and operational risk.
Responsibilities:
Responsibilities:
- Design, develop, test, and implement quantitative models for risk measurement, pricing, and hedging across different financial instruments.
- Perform complex statistical analysis and data mining on large datasets to identify risk drivers and trends.
- Validate model assumptions, performance, and regulatory compliance.
- Develop and maintain documentation for all quantitative models and methodologies.
- Collaborate with front-office traders, risk managers, and IT professionals to understand business needs and translate them into quantitative solutions.
- Stay current with industry best practices, regulatory changes, and emerging quantitative techniques.
- Contribute to the enhancement of risk management frameworks and systems.
- Present complex findings and recommendations to senior management in a clear and concise manner.
- Mentor junior analysts and contribute to the team's technical development.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Economics.
- Minimum of 5 years of relevant experience in quantitative finance, risk management, or a related area within the banking or financial services industry.
- Strong programming skills in languages such as Python, R, C++, or MATLAB.
- Proficiency in statistical modeling, econometrics, and time-series analysis.
- Deep understanding of financial markets, instruments, and risk management principles.
- Experience with data visualization tools and techniques.
- Excellent problem-solving abilities and attention to detail.
- Strong communication and interpersonal skills, with the ability to effectively explain technical concepts to non-technical audiences.
- Experience with regulatory requirements (e.g., Basel Accords) is a plus.
This advertiser has chosen not to accept applicants from your region.
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