1,036 Quant Analyst jobs in Kenya
Senior Quantitative Analyst (Quant) - Risk Management (Remote)
Posted 19 days ago
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Job Description
Our client, a leading financial institution, is seeking a highly skilled Senior Quantitative Analyst (Quant) to join their remote-first risk management team. This role is pivotal in developing and implementing sophisticated quantitative models to assess and mitigate financial risks across various portfolios. The successful candidate will leverage their deep understanding of financial markets, statistics, and programming to build, test, and deploy models for market risk, credit risk, and operational risk. This position requires a rigorous analytical mindset, exceptional problem-solving abilities, and proficiency in data analysis and statistical modeling. You will be instrumental in providing insights and recommendations to senior management, influencing strategic decision-making, and ensuring regulatory compliance. The ability to work independently, manage complex analytical projects, and communicate technical findings to non-technical audiences is crucial.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop, validate, and implement quantitative models for risk management (market risk, credit risk, VaR, stress testing, etc.).
- Conduct in-depth statistical analysis of financial data to identify trends, risks, and opportunities.
- Build and maintain sophisticated risk measurement frameworks and methodologies.
- Collaborate with trading desks, portfolio managers, and other business units to understand risk exposures and requirements.
- Perform back-testing and sensitivity analysis on models to ensure their accuracy and robustness.
- Contribute to the development and enhancement of risk reporting systems and tools.
- Ensure models comply with regulatory requirements (e.g., Basel III/IV, IFRS 9).
- Research and stay updated on the latest advancements in quantitative finance, econometrics, and financial modeling.
- Communicate complex quantitative concepts and model results clearly to business stakeholders and senior management.
- Automate data processing, model calibration, and reporting tasks using programming languages.
Qualifications:
- Master's or Ph.D. in Quantitative Finance, Statistics, Mathematics, Economics, Physics, or a related quantitative field.
- Minimum of 5 years of experience as a Quantitative Analyst in banking, asset management, or financial services.
- Strong expertise in financial modeling, statistical analysis, and time series analysis.
- Proficiency in programming languages such as Python (with libraries like NumPy, SciPy, Pandas), R, or C++.
- Experience with SQL and database management.
- Solid understanding of financial markets, derivatives, and risk management principles.
- Familiarity with regulatory frameworks relevant to financial risk.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex topics simply.
- Proven ability to work effectively in a remote, collaborative environment.
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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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Lead Quantitative Analyst (Quant)
Posted 19 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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Senior Quantitative Analyst (Quant)
Posted 19 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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Lead Quantitative Analyst (Quant) - Algorithmic Trading
Posted 15 days ago
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Job Description
Our client, a prestigious global investment bank, is seeking a highly skilled and experienced Lead Quantitative Analyst (Quant) to join their cutting-edge, fully remote trading strategies team. This critical role will involve designing, developing, and implementing sophisticated quantitative models and algorithms for high-frequency trading and portfolio optimization. You will be at the forefront of developing innovative trading strategies, leveraging advanced statistical techniques, machine learning, and econometrics. Key responsibilities include conducting rigorous backtesting and performance analysis, identifying profitable trading opportunities, and managing the risk associated with algorithmic trading strategies. The ideal candidate will possess a deep understanding of financial markets, derivatives, and modern portfolio theory. You will work closely with traders and technologists to translate research ideas into production-ready trading systems. This position demands exceptional analytical and programming skills, with proficiency in languages such as Python, C++, and R. A strong academic background in a quantitative field (e.g., Mathematics, Physics, Computer Science, Statistics) is essential, coupled with extensive experience in quantitative finance. You will be instrumental in guiding junior quants, contributing to the team's overall research direction, and ensuring the robustness and performance of our trading infrastructure. This is an unparalleled opportunity to apply your quantitative expertise in a highly stimulating, remote-first environment, making significant contributions to the firm's trading success. You will thrive in a fast-paced, intellectually challenging setting, pushing the boundaries of quantitative finance. The ability to manage complex projects, collaborate effectively with remote colleagues, and communicate intricate concepts clearly is vital.
Qualifications:
Qualifications:
- Master's or Ph.D. in a quantitative discipline such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Minimum of 7 years of experience in quantitative finance, algorithmic trading, or statistical modeling in the financial industry.
- Proven track record in developing and deploying successful quantitative trading strategies.
- Expertise in statistical modeling, machine learning, time series analysis, and econometrics.
- Advanced programming skills in Python, C++, R, or similar languages.
- Deep understanding of financial markets, derivatives pricing, and risk management.
- Experience with large datasets and database technologies.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex quantitative concepts to diverse audiences.
- Experience working in a remote team environment is highly desirable.
This advertiser has chosen not to accept applicants from your region.
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Remote Lead Quantitative Analyst (Quant)
Posted 2 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking a highly skilled and experienced Remote Lead Quantitative Analyst (Quant) to join their cutting-edge trading and risk management division. This fully remote role offers the opportunity to work from anywhere while contributing to sophisticated financial modeling and strategy development. You will be responsible for designing, developing, and implementing complex mathematical models for pricing financial derivatives, managing risk, and optimizing trading strategies across various asset classes. This involves applying advanced statistical techniques, stochastic calculus, and machine learning algorithms to analyze market data and identify profitable opportunities. You will lead a team of quantitative analysts, providing technical direction, mentoring junior members, and overseeing the validation and implementation of models. Collaboration with portfolio managers, traders, and risk managers will be crucial to understand their needs and translate them into effective quantitative solutions. A significant part of your role will involve conducting rigorous back-testing and performance analysis of trading strategies and risk models. Experience with high-frequency trading environments, algorithmic trading, and derivative pricing is highly desirable. Proficiency in programming languages such as Python, C++, or R, along with experience using financial libraries and data platforms, is essential. This is a remote-first position, requiring exceptional analytical, problem-solving, and communication skills to effectively collaborate with global teams. While conceptually based in **Nairobi, Nairobi, KE**, your work will be performed entirely online. If you are a passionate quant with a proven ability to develop innovative financial models and lead high-performing teams in a remote setting, we invite you to apply.
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Senior Quantitative Analyst (Quant) - Remote
Posted 19 days ago
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Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst (Quant) to join their sophisticated remote trading and risk management team. This role is crucial for developing and implementing complex mathematical models, pricing derivatives, and managing financial risk in dynamic markets. You will be responsible for designing, coding, and testing quantitative models for trading strategies, risk assessment, and portfolio optimization. The ideal candidate will possess a strong academic background in a quantitative discipline such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering, coupled with significant experience in quantitative finance. Proficiency in programming languages like Python, C++, or R is essential, as is a deep understanding of financial markets, derivative products, and statistical modeling techniques. You will work collaboratively with traders, portfolio managers, and IT professionals to translate business needs into robust quantitative solutions. This fully remote position demands exceptional problem-solving skills, meticulous attention to detail, and the ability to work independently under pressure. Your contributions will directly impact trading strategies, risk mitigation, and overall profitability. The role involves the development of sophisticated algorithms for algorithmic trading, option pricing, and value-at-risk (VaR) calculations. You will also be involved in back-testing strategies and performance attribution. The ability to communicate complex quantitative concepts clearly to non-technical stakeholders is a key requirement for this role.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain quantitative models for pricing derivatives and managing financial risk.
- Design and code trading algorithms and strategies.
- Conduct statistical analysis of market data to identify trading opportunities.
- Build and maintain tools for risk management, including VaR and stress testing.
- Collaborate with traders and portfolio managers to support investment decisions.
- Perform back-testing and validation of quantitative models and strategies.
- Ensure the accuracy and reliability of financial models and data.
- Stay abreast of the latest developments in quantitative finance and financial technology.
- Communicate complex quantitative concepts and results to stakeholders.
- Contribute to the continuous improvement of quantitative methodologies and infrastructure.
- Master's or Ph.D. in Mathematics, Physics, Statistics, Computer Science, Financial Engineering, or a related quantitative field.
- Minimum of 7 years of experience in quantitative analysis within investment banking, hedge funds, or asset management.
- Expertise in financial modeling, derivative pricing, and risk management techniques.
- Strong programming skills in Python, C++, or R.
- In-depth knowledge of statistical modeling, time series analysis, and machine learning algorithms.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage priorities effectively in a remote setting.
- Strong communication and presentation skills.
- Familiarity with the financial markets in regions like Thika, Kiambu, KE might provide context, but is not required for this global remote position.
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Remote Senior Quantitative Analyst (Quant)
Posted 9 days ago
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Job Description
Our client is seeking a highly analytical and skilled Remote Senior Quantitative Analyst (Quant) to join their leading financial services division. This role is crucial for developing and implementing sophisticated mathematical models and quantitative strategies for trading, risk management, and portfolio optimization. You will work closely with traders, portfolio managers, and risk officers to translate complex financial concepts into actionable quantitative solutions. The ideal candidate will possess a strong foundation in mathematics, statistics, computer science, and financial markets, with demonstrable experience in quantitative finance. Proficiency in programming languages commonly used in quant roles (e.g., Python, R, C++) and experience with large datasets are essential. This position requires a sharp, detail-oriented individual capable of independent research and development in a remote setting, contributing significantly to the firm's competitive edge.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, test, and implement quantitative models for pricing, risk management, and trading strategies.
- Conduct rigorous statistical analysis of financial data to identify market trends and opportunities.
- Develop algorithms and software for automated trading systems and risk management frameworks.
- Collaborate with front-office and risk management teams to provide quantitative insights and support decision-making.
- Perform back-testing and performance evaluation of trading strategies and models.
- Ensure the accuracy, robustness, and compliance of quantitative models with regulatory requirements.
- Research and stay updated on the latest advancements in quantitative finance, machine learning, and financial technology.
- Contribute to the development and maintenance of the firm's quantitative infrastructure.
- Document quantitative methodologies, models, and processes clearly and comprehensively.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related discipline.
- Minimum of 6 years of experience in quantitative analysis within the financial services industry.
- Proven experience in developing and implementing pricing, risk, or trading models.
- Expertise in programming languages like Python, R, C++, or similar for quantitative applications.
- Strong knowledge of statistical modeling, econometrics, time series analysis, and machine learning techniques.
- Familiarity with financial markets, derivatives, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex quantitative concepts to non-technical audiences.
- Ability to work independently and as part of a remote team.
- Understanding of the banking and finance sector in Nyeri, Nyeri, KE is beneficial.
This advertiser has chosen not to accept applicants from your region.
7
Quantitative Analyst (Quant) - Algorithmic Trading (Remote)
Posted 19 days ago
Job Viewed
Job Description
Our client, a leading fintech firm, is seeking a brilliant and highly analytical Quantitative Analyst (Quant) specializing in algorithmic trading. This is a demanding, fully remote position that requires a deep understanding of financial markets, advanced statistical modeling, and sophisticated programming skills. You will be at the forefront of developing, implementing, and optimizing high-frequency trading strategies. Your responsibilities will include designing complex algorithms, back-testing them rigorously using historical data, and deploying them into live trading environments. You will continuously monitor and refine trading performance, analyze market microstructure, and identify new trading opportunities. The ideal candidate possesses a strong mathematical aptitude, exceptional problem-solving abilities, and a proven track record in quantitative finance or algorithmic trading. Proficiency in languages such as Python, C++, or R, along with experience in machine learning and big data technologies, is essential. You will collaborate with a team of talented quants and developers, working in a fast-paced, research-driven environment. This role requires a self-starter who can thrive independently in a remote setting, demonstrating initiative, meticulous attention to detail, and the ability to handle pressure. You must be comfortable working with large datasets, complex mathematical models, and cutting-edge technology. The ability to explain intricate quantitative concepts clearly to both technical and non-technical audiences is also vital. This is a unique opportunity for a highly skilled quantitative professional to contribute to groundbreaking trading solutions and achieve significant impact in the global financial markets. The **Nairobi, Nairobi, KE** region is noted for its growing financial technology sector.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement quantitative trading algorithms.
- Conduct rigorous back-testing and statistical analysis of trading strategies.
- Analyze market data to identify trading opportunities and risks.
- Optimize algorithm performance and manage live trading systems.
- Collaborate with traders and software engineers to enhance trading infrastructure.
- Research and apply advanced mathematical and statistical techniques, including machine learning.
- Monitor market microstructure and trading execution quality.
- Develop and maintain tools for strategy research and performance analysis.
- Stay abreast of market trends, new technologies, and regulatory changes.
- Document methodologies and results clearly and comprehensively.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Proven experience in quantitative trading, algorithmic strategy development, or related quantitative finance roles.
- Expert-level programming skills in Python, C++, or R.
- Strong understanding of financial markets, derivatives, and trading strategies.
- Experience with machine learning techniques and data analysis libraries.
- Familiarity with big data technologies and database management.
- Excellent analytical, problem-solving, and quantitative reasoning skills.
- Ability to work independently, manage priorities, and deliver results in a remote environment.
- Strong communication and collaboration skills.
- Deep understanding of statistical modeling and probability theory.
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8
Senior Quantitative Analyst (Quant) - Remote Trading Strategies
Posted 16 days ago
Job Viewed
Job Description
Our client, a premier quantitative trading firm, is seeking a highly skilled Senior Quantitative Analyst to join their elite remote team. This role is essential for developing, backtesting, and deploying sophisticated quantitative trading strategies across various asset classes. You will work closely with portfolio managers and traders, leveraging advanced statistical modeling, machine learning techniques, and programming expertise to drive alpha generation. The ideal candidate possesses a rigorous analytical mindset, exceptional programming skills, and a deep understanding of financial markets and derivatives.
Responsibilities:
Qualifications:
This fully remote position, conceptually located near Naivasha, Nakuru, KE , offers an exceptional opportunity to work at the forefront of financial technology and quantitative trading. If you are a brilliant quantitative mind driven by innovation, apply today.
Responsibilities:
- Research, design, implement, and validate quantitative trading strategies.
- Develop and maintain high-frequency trading algorithms and execution systems.
- Analyze large financial datasets to identify market inefficiencies and trading opportunities.
- Build predictive models using statistical methods, machine learning, and AI.
- Collaborate with traders and portfolio managers to refine strategies and execute trades.
- Conduct rigorous backtesting and performance analysis of trading algorithms.
- Optimize trading systems for performance, latency, and scalability.
- Stay current with academic research and industry trends in quantitative finance and machine learning.
- Document methodologies, code, and research findings comprehensively.
- Contribute to the firm's intellectual property and research initiatives.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 7 years of experience in quantitative analysis or a similar role within the financial industry, preferably in a hedge fund or proprietary trading environment.
- Proven track record of developing and implementing successful quantitative trading strategies.
- Expert proficiency in programming languages such as Python, C++, or R.
- Strong knowledge of financial markets, derivatives, risk management, and portfolio theory.
- Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and statistical modeling techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and effectively within a remote, collaborative team.
- Strong communication skills to explain complex quantitative concepts to non-technical stakeholders.
- Experience with low-latency systems and high-performance computing is a plus.
This fully remote position, conceptually located near Naivasha, Nakuru, KE , offers an exceptional opportunity to work at the forefront of financial technology and quantitative trading. If you are a brilliant quantitative mind driven by innovation, apply today.
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