114 Senior Quantitative Analyst 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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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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Senior Quantitative Analyst
Posted 20 days ago
Job Viewed
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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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
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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Lead Quantitative Analyst - Fintech
Posted 6 days ago
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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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7
Remote Quantitative Analyst
Posted 5 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Remote Quantitative Analyst to join their thriving Banking and Finance division. This is an exceptional opportunity for a skilled professional to contribute to complex financial modeling, risk management, and quantitative research in a fully remote setting. The Quantitative Analyst will be responsible for developing and implementing sophisticated mathematical models and statistical techniques to analyze financial markets, assess risk, price financial instruments, and identify investment opportunities. You will work with large datasets, design simulations, and perform rigorous backtesting to validate model performance. Collaboration with traders, portfolio managers, and risk officers will be integral to translating quantitative insights into actionable business strategies. A strong command of programming languages commonly used in quantitative finance, such as Python, R, or C++, is essential, along with a solid understanding of financial theory and econometrics. The ability to communicate complex quantitative concepts effectively to both technical and non-technical audiences is crucial for success in this role.
Responsibilities:
Responsibilities:
- Develop, validate, and implement quantitative models for pricing, risk management, and trading strategies.
- Conduct statistical analysis of financial markets and economic data.
- Build and maintain data infrastructure for quantitative research and analysis.
- Perform backtesting and simulation of trading algorithms and risk models.
- Collaborate with trading desks and portfolio managers to provide quantitative support and insights.
- Assess and manage financial risks across various asset classes.
- Develop and document methodologies for quantitative models.
- Stay current with academic research and industry developments in quantitative finance.
- Contribute to the development of new financial products and instruments.
- Ensure compliance with regulatory requirements related to financial modeling and risk management.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 4 years of experience as a Quantitative Analyst in the financial industry.
- Expertise in statistical modeling, time series analysis, and econometrics.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong understanding of financial instruments, derivatives, and market microstructure.
- Experience with large datasets and database management.
- Excellent problem-solving and analytical skills.
- Superior communication and presentation skills, with the ability to explain complex quantitative concepts.
- Proven ability to work independently and manage multiple projects in a remote environment.
- Experience with risk management frameworks and regulatory compliance.
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Senior Quantitative Analyst (Quant)
Posted 20 days ago
Job Viewed
Job Description
Our client is a highly respected financial institution known for its sophisticated trading strategies and robust risk management practices. We are seeking an exceptional Senior Quantitative Analyst (Quant) to join our globally distributed, remote-first team. This role is integral to developing and implementing complex mathematical models and algorithms that drive our trading, risk management, and investment decisions. The ideal candidate will possess a strong academic background in a quantitative discipline, combined with extensive experience in financial modeling, statistical analysis, and programming. You will work closely with traders, portfolio managers, and other quants to innovate and refine our quantitative strategies, ensuring we maintain a competitive edge in the market. This position offers the opportunity to contribute to cutting-edge financial research and development from the comfort of your home office.
Responsibilities:
Responsibilities:
- Design, develop, test, and implement sophisticated mathematical models and algorithms for pricing, risk management, and trading strategies across various asset classes.
- Analyze large datasets to identify market trends, opportunities, and risks.
- Collaborate with traders and portfolio managers to understand their needs and translate them into quantitative solutions.
- Develop and maintain robust code in languages such as Python, C++, or R for model implementation and backtesting.
- Conduct rigorous quantitative research, exploring new methodologies and techniques to enhance existing models.
- Monitor the performance of implemented models and strategies, making adjustments as necessary.
- Work with technology teams to ensure efficient deployment and integration of quantitative models into production systems.
- Document research findings, model specifications, and implementation details comprehensively.
- Stay current with academic research and industry developments in quantitative finance and related fields.
- Present complex quantitative concepts and results to both technical and non-technical audiences.
- Ensure compliance with regulatory requirements and internal risk management policies.
- Mentor junior quantitative analysts and contribute to the team's knowledge sharing.
- Advanced degree (Master's or Ph.D.) in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- Minimum of 5-8 years of experience in quantitative analysis within the financial industry.
- Proven expertise in developing and implementing financial models, statistical techniques, and algorithms.
- Strong proficiency in programming languages such as Python, C++, R, or similar.
- Deep understanding of financial markets, derivatives, and trading strategies.
- Experience with data analysis and visualization tools.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Ability to work independently and as part of a remote team, managing multiple priorities effectively.
- Experience with machine learning techniques is a plus.
- Familiarity with large-scale data processing frameworks is beneficial.
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