921 Quantitative Analysis jobs in Kenya
Quantitative Analyst
Posted 12 days ago
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Job Description
Our client, a prominent investment management firm, is seeking a highly analytical and mathematically inclined Quantitative Analyst to join their trading and risk management division. This hybrid role offers the flexibility to work both remotely and from their office, providing an optimal blend of autonomy and collaboration. You will be responsible for developing and implementing complex mathematical models and statistical techniques to support trading strategies, risk assessment, and portfolio optimization. Your core duties will involve data mining, statistical analysis, algorithm development, and back-testing trading strategies. You will work closely with portfolio managers and traders to identify opportunities, quantify risks, and enhance investment performance. The ideal candidate will possess a deep understanding of financial markets, econometrics, and advanced statistical modeling. Exceptional programming skills in languages such as Python, R, or MATLAB are essential, along with expertise in data manipulation and analysis libraries. This role requires strong problem-solving abilities, meticulous attention to detail, and the capacity to translate complex quantitative concepts into actionable insights. Excellent communication skills are necessary to present findings and recommendations to both technical and non-technical stakeholders. We are looking for individuals with a master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering, along with at least 3 years of relevant experience in quantitative finance or a related area. Experience with large datasets and big data technologies is highly desirable. Join a leading firm at the forefront of quantitative finance and contribute to sophisticated investment strategies in a dynamic, hybrid work environment.
Location: The role requires a hybrid presence, serving clients in Kericho, Kericho, KE .
Location: The role requires a hybrid presence, serving clients in Kericho, Kericho, KE .
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Lead Quantitative Analyst
Posted 20 days ago
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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.
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Principal Quantitative Analyst
Posted 20 days ago
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Job Description
Our client, a prominent financial institution renowned for its innovative approach to banking and financial services, is actively seeking a distinguished Principal Quantitative Analyst to join their fully remote team. This senior position requires an individual with exceptional analytical prowess and a deep understanding of financial markets, risk management, and statistical modeling. You will be responsible for developing and implementing sophisticated quantitative models that drive critical business decisions, manage risk, and enhance financial strategies. The role involves close collaboration with various departments, including risk management, trading, and product development, to translate complex data into actionable insights.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and validate complex quantitative models for pricing, risk management, and trading strategies.
- Conduct rigorous statistical analysis and perform data mining on large datasets to identify trends and opportunities.
- Collaborate with business stakeholders to understand their needs and translate them into quantitative solutions.
- Develop and implement methodologies for stress testing, scenario analysis, and capital allocation.
- Provide quantitative expertise and support for regulatory requirements and compliance initiatives.
- Build and maintain robust financial models, ensuring accuracy, efficiency, and scalability.
- Research and implement cutting-edge quantitative techniques and methodologies.
- Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
- Mentor junior quantitative analysts and contribute to the team's technical growth.
- Stay abreast of industry best practices, regulatory changes, and emerging technologies in quantitative finance.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 10 years of experience in quantitative analysis within the financial services industry.
- Deep expertise in financial modeling, risk management, and derivatives pricing.
- Proficiency in programming languages such as Python, R, C++, or Java, and experience with data manipulation libraries.
- Strong understanding of statistical techniques, machine learning, and time series analysis.
- Proven ability to manage complex projects from conception to implementation.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
- Experience working effectively in a remote team environment.
- Familiarity with financial regulations and compliance frameworks is a plus.
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2
Job Description
Our client is actively seeking a highly analytical and mathematically adept Quantitative Analyst (Quant) to join their finance team. This is a fully remote position, allowing you to work from anywhere. The ideal candidate will possess a strong background in financial modeling, statistical analysis, and programming, with a proven ability to develop and implement complex quantitative strategies. You will be responsible for designing, testing, and deploying sophisticated financial models for pricing, risk management, and trading strategies. As a remote member of the team, you will collaborate closely with traders, portfolio managers, and risk officers, providing data-driven insights and quantitative solutions. Your core responsibilities will include developing algorithms, performing statistical analysis on large datasets, and building predictive models. You will also contribute to the development and validation of risk assessment frameworks and stress testing methodologies. A deep understanding of financial markets, derivatives, and portfolio theory is essential. The successful candidate will hold a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering, coupled with at least 5 years of experience as a Quantitative Analyst in the banking or financial services industry. Proficiency in programming languages like Python, R, C++, or Java, and experience with financial libraries and databases are required. Strong problem-solving skills, meticulous attention to detail, and excellent communication abilities are crucial for effectively conveying complex quantitative concepts. This is an exceptional opportunity to apply advanced quantitative skills in a challenging and rewarding remote role, contributing to the financial sector in the vicinity of Kitale, Trans-Nzoia, KE .
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Quantitative Analyst - Financial Modeling
Posted 15 days ago
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Job Description
Our client, a leading financial institution, is looking for a highly analytical and detail-oriented Quantitative Analyst to join their esteemed team in Kitale, Trans-Nzoia, KE . This critical role involves developing, implementing, and maintaining sophisticated financial models to support trading strategies, risk management, and product development. The ideal candidate will possess a strong quantitative background, exceptional mathematical acumen, and a deep understanding of financial markets and instruments. Responsibilities include designing complex pricing and risk models for derivatives and other financial products, performing statistical analysis on large datasets, back-testing model performance, and validating model outputs. You will collaborate closely with traders, portfolio managers, and risk officers to provide quantitative insights and solutions to complex financial problems. The role requires a proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB, and experience with financial databases and tools. The ability to clearly communicate intricate quantitative concepts to non-technical stakeholders is essential. We are seeking an individual who is passionate about finance, possesses a relentless drive for accuracy, and thrives in a challenging, fast-paced environment. You will play a key role in ensuring the firm's competitive advantage through rigorous quantitative analysis and innovation. The successful candidate will be expected to stay abreast of market trends and regulatory changes, adapting models accordingly. A strong commitment to ethical practices and compliance is fundamental.
Qualifications:
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering.
- Minimum of 5 years of experience as a Quantitative Analyst or in a similar role.
- Proven experience in developing and implementing financial models (pricing, risk, econometrics).
- Strong programming skills in Python, R, C++, or MATLAB.
- Familiarity with financial markets, derivatives, and fixed income instruments.
- Excellent analytical, problem-solving, and statistical modeling skills.
- Strong communication and presentation abilities, with the capacity to explain complex quantitative concepts to diverse audiences.
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Principal Financial Quantitative Analyst
Posted 20 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly accomplished Principal Financial Quantitative Analyst to join their globally distributed, fully remote team. This role demands exceptional analytical and modeling skills to develop and implement sophisticated financial models for pricing, risk management, and trading strategies. The successful candidate will leverage advanced statistical techniques, programming languages (Python, R, C++), and a deep understanding of financial markets to provide critical insights and support strategic decision-making. You will work on complex financial instruments and be instrumental in shaping the firm's quantitative strategies.
Key responsibilities:
Qualifications: A Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science is required. A minimum of 10 years of relevant experience in quantitative finance, with a strong focus on model development and implementation within an investment banking or hedge fund environment. Proven expertise in Python, R, and/or C++ for financial modeling is essential. A thorough understanding of stochastic calculus, time series analysis, and numerical methods is mandatory. Experience with large datasets and big data technologies is a plus. This is a unique opportunity to apply advanced quantitative skills to impactful financial challenges in a fully remote, intellectually stimulating environment.
Key responsibilities:
- Developing, validating, and implementing complex pricing and risk models for a wide range of financial derivatives and fixed-income products.
- Conducting in-depth quantitative research to identify new trading opportunities and refine existing strategies.
- Designing and building efficient algorithms for portfolio optimization and risk management.
- Collaborating with traders, portfolio managers, and risk officers to understand their needs and provide quantitative solutions.
- Performing rigorous back-testing and scenario analysis of models and strategies.
- Ensuring the accuracy, robustness, and compliance of all developed models with regulatory requirements.
- Contributing to the development and maintenance of the firm's quantitative analytics platform.
- Mentoring junior quantitative analysts and contributing to the team's technical growth.
- Communicating complex quantitative concepts and findings clearly to both technical and non-technical stakeholders.
- Staying ahead of industry trends in quantitative finance, machine learning, and computational finance.
Qualifications: A Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science is required. A minimum of 10 years of relevant experience in quantitative finance, with a strong focus on model development and implementation within an investment banking or hedge fund environment. Proven expertise in Python, R, and/or C++ for financial modeling is essential. A thorough understanding of stochastic calculus, time series analysis, and numerical methods is mandatory. Experience with large datasets and big data technologies is a plus. This is a unique opportunity to apply advanced quantitative skills to impactful financial challenges in a fully remote, intellectually stimulating environment.
This advertiser has chosen not to accept applicants from your region.
5
Lead Quantitative Analyst (Financial Modeling)
Posted 20 days ago
Job Viewed
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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6
Senior Quantitative Analyst
Posted 20 days ago
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Job Description
Our client is seeking a highly analytical and detail-oriented Senior Quantitative Analyst to join their remote financial services team. This role is crucial for developing and implementing sophisticated quantitative models and strategies to support investment decisions, risk management, and financial product development. You will be responsible for designing, testing, and validating complex mathematical and statistical models, often involving large datasets.
The ideal candidate will possess a strong academic background in a quantitative discipline such as finance, mathematics, statistics, physics, or engineering, coupled with practical experience in financial modeling. Your responsibilities will include analyzing market data, identifying trends, and developing predictive models for asset pricing, portfolio optimization, and risk assessment. You will work closely with portfolio managers, traders, and risk officers to provide quantitative insights and support strategic initiatives. Proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB, is essential. You should also have a solid understanding of financial markets, derivatives, and regulatory requirements.
This is a fully remote position, requiring excellent problem-solving skills, the ability to work independently, and strong collaboration skills with a geographically dispersed team. You will be expected to communicate complex quantitative concepts clearly to both technical and non-technical audiences. A commitment to continuous learning and staying abreast of the latest quantitative techniques and financial market developments is vital. You will play a key role in driving innovation and maintaining a competitive edge in the financial industry.
Key Responsibilities:
The ideal candidate will possess a strong academic background in a quantitative discipline such as finance, mathematics, statistics, physics, or engineering, coupled with practical experience in financial modeling. Your responsibilities will include analyzing market data, identifying trends, and developing predictive models for asset pricing, portfolio optimization, and risk assessment. You will work closely with portfolio managers, traders, and risk officers to provide quantitative insights and support strategic initiatives. Proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB, is essential. You should also have a solid understanding of financial markets, derivatives, and regulatory requirements.
This is a fully remote position, requiring excellent problem-solving skills, the ability to work independently, and strong collaboration skills with a geographically dispersed team. You will be expected to communicate complex quantitative concepts clearly to both technical and non-technical audiences. A commitment to continuous learning and staying abreast of the latest quantitative techniques and financial market developments is vital. You will play a key role in driving innovation and maintaining a competitive edge in the financial industry.
Key Responsibilities:
- Develop, implement, and validate quantitative models for financial markets.
- Perform complex statistical analysis and data mining on large datasets.
- Design and build models for asset pricing, risk management, and portfolio optimization.
- Analyze market data to identify investment opportunities and potential risks.
- Collaborate with portfolio managers and traders to support investment strategies.
- Develop and maintain documentation for quantitative models and methodologies.
- Utilize programming languages (Python, R, C++, MATLAB) for model development and implementation.
- Communicate complex quantitative findings to stakeholders.
- Stay current with advancements in quantitative finance and financial regulations.
- Ensure compliance with internal policies and external regulations.
- Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, Engineering, or Computer Science.
- Minimum of 7 years of experience in quantitative analysis within the financial services industry.
- Proven expertise in financial modeling, statistical analysis, and econometrics.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong understanding of financial markets, derivatives, and risk management principles.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts.
- Experience working in a remote environment with distributed teams.
- Familiarity with regulatory frameworks impacting financial institutions is a plus.
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7
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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8
Quantitative Analyst, Investment Strategies
Posted 5 days ago
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Job Description
Our client, a leading financial institution, is looking for a highly analytical and technically skilled Quantitative Analyst to join their dynamic Investment Strategies team. This is a fully remote position, allowing you to contribute your expertise to sophisticated financial modeling and strategy development from anywhere. You will be responsible for designing, developing, and implementing quantitative models and algorithms to support investment decisions, risk management, and portfolio optimization. This includes conducting rigorous statistical analysis, back-testing strategies, and evaluating their performance across various market conditions. You will collaborate closely with portfolio managers, traders, and other quantitative professionals to generate actionable insights and drive investment performance. Key responsibilities involve data mining, data analysis, and the development of predictive models using large datasets. You will also be involved in the research and development of new quantitative trading strategies and financial instruments. Strong proficiency in programming languages such as Python, R, or C++ is essential for model implementation and data manipulation. Experience with financial databases, market data providers, and trading platforms is highly valued. You will need to clearly articulate complex quantitative concepts and findings to both technical and non-technical audiences. This role demands a deep understanding of financial markets, econometrics, and statistical modeling techniques. Proactive problem-solving and the ability to work independently in a remote setting are critical. Our client is committed to fostering innovation and providing its remote employees with the resources and challenging projects they need to excel. This is an exciting opportunity to work at the forefront of quantitative finance, contributing to the development of cutting-edge investment strategies. You will play a vital role in shaping the future of investment management for our client, leveraging your analytical prowess to navigate complex financial landscapes. The company encourages a culture of continuous learning and professional growth. We seek an individual with a passion for data, a strong quantitative aptitude, and a proven ability to deliver high-impact results. Your contributions will directly influence investment performance and risk management frameworks. The emphasis will be on rigorous research, robust model development, and effective implementation.
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