1,386 Lead Quantitative Analyst jobs in Kenya
Lead Quantitative Analyst (Financial Modeling)
Posted 20 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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Lead Quantitative Analyst - Remote Financial Modeling
Posted 3 days ago
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Job Description
Our client is seeking a highly analytical and experienced Lead Quantitative Analyst to join their sophisticated remote finance team. This role is essential for developing and implementing advanced financial models, risk management strategies, and data-driven insights to support strategic decision-making. The ideal candidate will possess a profound understanding of financial markets, complex mathematical concepts, and statistical modeling techniques. You will be responsible for designing, building, and validating sophisticated models for areas such as pricing, risk assessment, portfolio optimization, and algorithmic trading. Your expertise will be crucial in analyzing large datasets, identifying trends, and providing actionable recommendations to the trading desk, portfolio managers, and executive leadership. This position requires strong programming skills and the ability to translate complex quantitative findings into clear, concise reports and presentations for both technical and non-technical audiences. You will also mentor junior analysts, guide research initiatives, and contribute to the overall quantitative strategy of the firm. The ability to work autonomously and collaboratively within a remote team environment is critical. This is an exceptional opportunity to apply cutting-edge quantitative techniques to critical financial challenges in a flexible, remote setting. We are looking for an individual with a rigorous analytical approach and a passion for innovation in financial services.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain sophisticated quantitative models for financial markets.
- Conduct complex statistical analysis and data mining to identify market trends and opportunities.
- Design and validate models for asset pricing, risk management, and portfolio optimization.
- Collaborate with traders, portfolio managers, and risk officers to provide data-driven insights.
- Translate complex quantitative findings into actionable recommendations for business stakeholders.
- Develop and implement back-testing and performance evaluation methodologies.
- Mentor and guide junior quantitative analysts and researchers.
- Contribute to the firm's research and development of new quantitative strategies.
- Ensure the accuracy, integrity, and robustness of all developed models.
- Stay abreast of advancements in quantitative finance, econometrics, and computational methods.
- Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
- Minimum of 8 years of progressive experience in quantitative analysis within the financial services industry.
- Proven expertise in developing and implementing complex financial models.
- Strong programming skills in languages such as Python, R, C++, or Java.
- Proficiency with statistical modeling techniques, machine learning algorithms, and econometrics.
- Deep understanding of financial markets, derivatives, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Demonstrated ability to work independently and as part of a remote team.
- Experience with large-scale data processing and database management is a plus.
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Remote Lead Quantitative Analyst - Financial Modeling
Posted 4 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 11 days ago
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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.
This advertiser has chosen not to accept applicants from your region.
3
Lead Quantitative Analyst
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a highly accomplished Lead Quantitative Analyst to spearhead complex financial modeling and risk management initiatives. This fully remote position offers the chance to leverage your advanced analytical skills and deep understanding of financial markets to drive strategic decision-making. You will be responsible for developing, implementing, and validating sophisticated quantitative models, conducting in-depth statistical analysis, and providing critical insights to senior management. The role involves collaborating with trading desks, risk management teams, and technology partners to translate business needs into quantitative solutions. Key responsibilities include building predictive models, assessing market risk, optimizing trading strategies, and ensuring regulatory compliance. We are looking for an individual with exceptional programming abilities in languages like Python, R, or C++, coupled with a strong academic background in a quantitative field such as mathematics, statistics, physics, or finance. Experience with machine learning techniques and large datasets is essential. This is a senior role requiring proven leadership capabilities and the ability to mentor junior analysts. The ideal candidate thrives in a fast-paced, remote environment and excels at communicating complex technical concepts to a non-technical audience. You will be at the forefront of innovation, exploring new methodologies and tools to enhance our client's competitive edge. The opportunity to work on challenging projects, shape analytical frameworks, and contribute to the firm's success makes this a highly rewarding position. We are committed to fostering a culture of continuous learning and professional development for our remote workforce. Embrace the challenge of pushing the boundaries of quantitative finance from the comfort of your home office. This role, while based in Naivasha, Nakuru, KE , is entirely remote, offering unparalleled flexibility and work-life balance. Your analytical rigor and innovative thinking will be key drivers of our client's ongoing growth and success in the financial sector.
This advertiser has chosen not to accept applicants from your region.
4
Lead Quantitative Analyst (Quant)
Posted 20 days ago
Job Viewed
Job Description
Our client, a prestigious global investment bank, is actively seeking an exceptional Lead Quantitative Analyst (Quant) to join their elite, fully remote trading and risk management division. This senior role is critical in developing and implementing sophisticated mathematical models and algorithms to drive trading strategies, manage risk, and price complex financial instruments. You will be at the forefront of financial innovation, working in a dynamic, remote-first environment that fosters collaboration and cutting-edge research. Your responsibilities will include designing, testing, and deploying quantitative models across various asset classes, conducting rigorous backtesting and performance analysis, and ensuring the accuracy and robustness of trading systems. You will collaborate closely with portfolio managers, traders, and risk managers to provide data-driven insights and solutions to complex financial challenges. A significant part of this role involves mentoring junior quants, contributing to the team's intellectual capital, and staying abreast of the latest developments in financial engineering and computational finance. The ideal candidate holds a Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering, coupled with extensive experience as a quantitative analyst in the financial industry. Demonstrated expertise in programming languages like Python, C++, or R, alongside a deep understanding of statistical modeling, stochastic calculus, and numerical methods, is mandatory. Exceptional analytical, problem-solving, and communication skills are essential for articulating complex concepts to both technical and non-technical audiences in a remote setting. Experience with machine learning and artificial intelligence in finance is highly advantageous. This is an extraordinary opportunity to leverage your quantitative expertise to make a significant impact on global financial markets, potentially from **Kakamega, Kakamega, KE**, within a highly respected, remote-capable institution. We are looking for brilliant minds driven by intellectual curiosity and a passion for quantitative finance.
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5
Lead Quantitative Analyst - Fintech
Posted 6 days ago
Job Viewed
Job Description
Our client, a forward-thinking financial services firm specializing in disruptive fintech solutions, is seeking an exceptional Lead Quantitative Analyst to join their fully remote team. This pivotal role involves developing and implementing complex mathematical models and algorithms to drive innovation in trading strategies, risk management, and product development. You will be at the forefront of leveraging data science and statistical techniques to gain a competitive edge in the fast-paced banking and finance landscape. The ideal candidate will have a deep understanding of financial markets, a passion for quantitative analysis, and a proven ability to translate intricate data into actionable insights. Responsibilities include designing, backtesting, and deploying predictive models, performing rigorous statistical analysis, and collaborating with engineering teams to integrate models into production systems. This is a unique opportunity to shape the quantitative framework of our client's offerings and contribute to their strategic direction. The role demands a creative problem-solver with strong programming skills and an unwavering commitment to accuracy and innovation. You will work with vast datasets, employ advanced machine learning techniques, and contribute to a culture of continuous improvement. The ability to communicate complex quantitative concepts clearly to both technical and non-technical stakeholders is essential for success in this remote position. We are committed to fostering a highly collaborative virtual environment where your expertise will be valued and your contributions will have a tangible impact. This position offers the chance to work on cutting-edge projects and make a significant difference in the future of finance.
Responsibilities:
Responsibilities:
- Design, develop, and implement sophisticated quantitative models and algorithms for financial applications.
- Conduct in-depth statistical analysis of large datasets to identify patterns, trends, and opportunities.
- Build and maintain robust backtesting frameworks for evaluating trading strategies and model performance.
- Collaborate closely with software engineers to deploy and integrate quantitative models into live trading systems.
- Perform risk analysis and develop models to manage and mitigate financial risks.
- Research and implement advanced machine learning and artificial intelligence techniques for financial forecasting.
- Provide quantitative support and insights to trading desks, portfolio managers, and business stakeholders.
- Stay current with academic research and industry best practices in quantitative finance.
- Document model specifications, methodologies, and results thoroughly.
- Contribute to the development of innovative financial products and solutions.
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Minimum of 6 years of experience in quantitative analysis, financial modeling, or algorithmic trading.
- Strong proficiency in programming languages like Python, R, C++, or Java.
- Expertise in statistical modeling, time series analysis, and machine learning algorithms.
- Deep understanding of financial markets, derivatives, and portfolio theory.
- Experience with large-scale data processing and distributed computing frameworks.
- Excellent problem-solving and analytical skills with a keen attention to detail.
- Strong communication and interpersonal skills, with the ability to explain complex concepts effectively.
- Proven ability to work independently and collaboratively in a remote team environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
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6
Lead Quantitative Analyst - Remote
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Lead Quantitative Analyst to join their sophisticated, fully remote Banking & Finance team. This role is central to developing and implementing complex mathematical models and financial strategies to drive investment decisions and manage risk. You will be at the forefront of financial innovation, leveraging advanced statistical techniques and computational power to generate insights and create value.
Key responsibilities include designing, developing, and validating quantitative models for pricing, risk management, and trading strategies. You will perform complex statistical analysis, backtesting, and data mining on large financial datasets. This involves identifying market trends, anomalies, and opportunities that can be translated into actionable trading strategies or risk mitigation plans. You will collaborate closely with portfolio managers, traders, and risk officers to understand their needs and provide data-driven solutions. The Lead Quantitative Analyst will also be responsible for researching and implementing new quantitative methodologies and technologies. Developing and maintaining high-quality code for model implementation and data analysis is a critical part of the job. You will communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences. Mentoring junior quantitative analysts and contributing to the team's intellectual capital are also key expectations. The ideal candidate will possess a Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. A minimum of 6 years of relevant experience in quantitative finance, risk management, or asset management is required. Proficiency in programming languages like Python, R, C++, and familiarity with financial databases and libraries are essential. Strong knowledge of financial markets, derivatives, and econometrics is a must. Excellent problem-solving skills, a meticulous attention to detail, and the ability to work effectively in a demanding, remote environment are crucial. This position offers a unique opportunity to work on challenging problems and contribute significantly to the firm's success.
Key responsibilities include designing, developing, and validating quantitative models for pricing, risk management, and trading strategies. You will perform complex statistical analysis, backtesting, and data mining on large financial datasets. This involves identifying market trends, anomalies, and opportunities that can be translated into actionable trading strategies or risk mitigation plans. You will collaborate closely with portfolio managers, traders, and risk officers to understand their needs and provide data-driven solutions. The Lead Quantitative Analyst will also be responsible for researching and implementing new quantitative methodologies and technologies. Developing and maintaining high-quality code for model implementation and data analysis is a critical part of the job. You will communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences. Mentoring junior quantitative analysts and contributing to the team's intellectual capital are also key expectations. The ideal candidate will possess a Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. A minimum of 6 years of relevant experience in quantitative finance, risk management, or asset management is required. Proficiency in programming languages like Python, R, C++, and familiarity with financial databases and libraries are essential. Strong knowledge of financial markets, derivatives, and econometrics is a must. Excellent problem-solving skills, a meticulous attention to detail, and the ability to work effectively in a demanding, remote environment are crucial. This position offers a unique opportunity to work on challenging problems and contribute significantly to the firm's success.
This advertiser has chosen not to accept applicants from your region.
7
Lead Quantitative Analyst - Financial Risk
Posted 11 days ago
Job Viewed
Job Description
Our client, a prestigious international bank, is seeking an experienced Lead Quantitative Analyst to bolster its financial risk management division. This is a fully remote position, offering the opportunity to leverage your advanced analytical skills from anywhere in the world. You will be responsible for developing, implementing, and validating complex quantitative models to assess and manage various financial risks, including market risk, credit risk, and operational risk. Your role will involve sophisticated data analysis, statistical modeling, and the use of programming languages such as Python, R, or C++. The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, or Physics, along with significant experience in financial modeling and risk analytics within the banking sector. You should demonstrate a deep understanding of risk management frameworks (e.g., Basel Accords) and regulatory requirements. Exceptional programming skills, proficiency with financial databases (e.g., Bloomberg, Refinitiv), and experience with machine learning techniques applied to finance are essential. This position requires strong analytical, problem-solving, and critical thinking abilities, along with the capacity to communicate complex technical concepts clearly and concisely to both technical and non-technical audiences. You will lead a team of quantitative analysts, providing technical guidance, mentoring, and oversight. The ability to manage multiple projects simultaneously, meet tight deadlines, and maintain a high level of accuracy in a demanding remote environment is crucial. While this role is entirely remote, an understanding of financial markets and regulatory landscapes relevant to Naivasha, Nakuru, KE and the broader Kenyan economy can provide valuable context. We are looking for an innovative and highly analytical professional dedicated to advancing the bank's risk management capabilities.
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8
Remote Lead Quantitative Analyst
Posted 20 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking an experienced and highly analytical Lead Quantitative Analyst to join their sophisticated quantitative development team. This is a fully remote position, offering a unique opportunity to drive innovation in financial modeling and risk management from anywhere. The Lead Quants will be responsible for developing, implementing, and validating complex mathematical models used for pricing financial derivatives, managing risk, and optimizing investment strategies. You will mentor and guide a team of quantitative analysts, fostering a collaborative and high-performance environment. Your expertise will be crucial in translating complex business requirements into quantitative solutions, working closely with traders, portfolio managers, and risk officers. A deep understanding of stochastic calculus, econometrics, and statistical modeling is required, along with advanced programming skills in languages such as Python, C++, or R. The successful candidate will have a proven track record in a quantitative finance role, demonstrating strong problem-solving abilities and a rigorous analytical approach. Excellent communication skills are essential for presenting complex findings to both technical and non-technical audiences. We are looking for a leader who can inspire, innovate, and contribute significantly to the firm's strategic objectives. This role demands a commitment to excellence, a passion for quantitative finance, and the ability to thrive in a challenging, fast-paced remote setting.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop and implement cutting-edge quantitative models for financial markets.
- Lead and mentor a team of quantitative analysts.
- Collaborate with business stakeholders to define model requirements.
- Validate and back-test model performance.
- Conduct statistical analysis and research to identify trading opportunities and risks.
- Contribute to the development of risk management frameworks.
- Optimize existing models for efficiency and accuracy.
- Present complex analytical results to senior management and business units.
- Ensure compliance with regulatory requirements and internal policies.
Qualifications:
- Ph.D. or Master's degree in a quantitative field (e.g., Mathematics, Physics, Statistics, Computer Science, Financial Engineering).
- Minimum of 8 years of experience in quantitative finance, with a focus on model development.
- Proven experience in leading a team of quantitative analysts.
- Expertise in stochastic calculus, time series analysis, and statistical modeling.
- Advanced programming skills (Python, C++, R).
- Strong understanding of financial derivatives and risk management.
- Excellent communication, presentation, and interpersonal skills.
- Demonstrated ability to work independently and manage projects remotely.
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