113 Principal Quantitative Analyst Remote jobs in Kenya
Principal Quantitative Analyst (Remote)
Posted 12 days ago
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Job Description
Our client, a distinguished financial institution, is seeking a highly analytical and innovative Principal Quantitative Analyst to join their elite, fully remote team. This is a senior-level position focused on developing sophisticated financial models, risk management strategies, and data-driven insights to support strategic decision-making. As a Principal Quantitative Analyst, you will be at the forefront of financial engineering, leveraging advanced mathematical and statistical techniques to solve complex problems in areas such as pricing, hedging, risk assessment, and portfolio optimization. You will design, implement, and validate complex algorithms and quantitative models, working with large datasets and cutting-edge technologies. Responsibilities include developing and maintaining pricing models for derivatives, building risk models for credit and market risk, and creating analytical tools for trading desks. You will also collaborate with traders, portfolio managers, and risk officers, providing them with critical quantitative support and insights. The ideal candidate possesses a deep understanding of financial markets, financial instruments, and quantitative finance principles. Exceptional programming skills in languages such as Python, R, C++, or Java are required, along with expertise in statistical modeling, machine learning, and data analysis. A strong academic background, typically a Master's or Ph.D. in a quantitative field like Mathematics, Physics, Statistics, Computer Science, or Financial Engineering, is essential. At least 8 years of relevant experience in quantitative finance, ideally within investment banking, hedge funds, or asset management, is expected. This role demands superior analytical reasoning, problem-solving capabilities, and the ability to communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences. As a remote-first role, effective virtual collaboration and self-discipline are paramount. Contribute to shaping the future of finance from your home office, regardless of your specific location, though this role is associated with our operations in Nakuru, Nakuru, KE .
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Principal Quantitative Analyst - Remote Trading Strategies
Posted 21 days ago
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Job Description
Our client, a high-frequency trading firm, is seeking a Principal Quantitative Analyst to join their globally distributed, remote-first team. This pivotal role involves designing, developing, and implementing sophisticated mathematical models and algorithms for trading strategies across various asset classes. The ideal candidate possesses a deep understanding of financial markets, advanced statistical techniques, and exceptional programming skills.
Responsibilities:
Qualifications:
Responsibilities:
- Develop, backtest, and deploy quantitative trading strategies using Python, C++, or other relevant programming languages.
- Conduct in-depth statistical analysis of market data to identify trading opportunities and risks.
- Design and implement efficient algorithms for order execution, portfolio optimization, and risk management.
- Collaborate with portfolio managers and traders to understand market needs and translate them into quantitative solutions.
- Research and evaluate new data sources and technologies that can enhance trading performance.
- Build and maintain robust data pipelines and analytical tools.
- Monitor the performance of trading strategies and identify areas for improvement.
- Contribute to the firm's research efforts in areas such as machine learning, time series analysis, and econometrics.
- Mentor junior quantitative analysts and contribute to the team's knowledge sharing.
- Ensure the integrity and accuracy of all quantitative models and analyses.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 8 years of experience in quantitative finance, algorithmic trading, or a related field.
- Proven expertise in statistical modeling, time series analysis, machine learning, and financial econometrics.
- Strong programming skills in Python and C++, with experience in data analysis libraries (e.g., NumPy, Pandas, SciPy).
- Experience with large datasets and high-performance computing environments.
- Excellent understanding of financial markets, derivatives, and trading mechanics.
- Demonstrated ability to work independently and productively in a remote setting.
- Strong problem-solving skills and the ability to think critically and creatively.
- Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
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Principal Quantitative Analyst, Remote Algorithmic Trading
Posted 21 days ago
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Job Description
Our client, a cutting-edge fintech firm specializing in sophisticated financial solutions, is looking for a highly experienced Principal Quantitative Analyst to spearhead their fully remote algorithmic trading strategy division. This senior role demands a deep theoretical understanding and practical application of quantitative finance, statistical modeling, and machine learning to develop and refine high-frequency trading algorithms. You will be at the forefront of identifying market inefficiencies, designing predictive models, and implementing robust trading systems that generate alpha. This is a remote-first position, requiring a proactive individual who can thrive in an autonomous work environment, collaborate effectively with a dispersed team of traders and developers, and contribute significantly to the firm's trading success. The ideal candidate possesses exceptional analytical prowess, a proven history of developing profitable trading strategies, and a passion for pushing the boundaries of financial technology.
Responsibilities:
Responsibilities:
- Design, develop, and implement sophisticated quantitative trading strategies and algorithms.
- Conduct extensive research into market microstructure, statistical arbitrage, and predictive modeling techniques.
- Analyze vast datasets of historical and real-time market data to identify trading opportunities and risks.
- Build and maintain robust backtesting frameworks and performance evaluation tools.
- Collaborate closely with portfolio managers and software engineers to deploy and optimize trading strategies in live environments.
- Monitor trading system performance, identify anomalies, and implement necessary adjustments.
- Stay current with the latest advancements in quantitative finance, machine learning, and artificial intelligence.
- Develop and refine risk management protocols for algorithmic trading portfolios.
- Generate clear and concise reports and presentations on strategy performance, research findings, and market insights for senior management.
- Mentor junior quantitative analysts and contribute to the overall intellectual capital of the team.
- Contribute to the strategic direction of the quantitative trading desk in a fully remote capacity.
- Advanced degree (Master's or Ph.D.) in a quantitative discipline such as Mathematics, Physics, Computer Science, Statistics, Financial Engineering, or Economics.
- A minimum of 7 years of experience in quantitative finance, with a strong focus on algorithmic trading strategy development.
- Demonstrated success in designing and implementing profitable trading algorithms.
- Expert-level proficiency in programming languages such as Python, C++, or Java, and associated libraries (e.g., NumPy, Pandas, Scikit-learn).
- Deep understanding of financial markets, statistical modeling, time-series analysis, and machine learning techniques.
- Experience with large-scale data analysis and high-performance computing environments.
- Excellent analytical, problem-solving, and quantitative reasoning skills.
- Strong communication and interpersonal skills, with the ability to articulate complex ideas effectively in a remote setting.
- Proven ability to work independently, manage multiple priorities, and deliver results in a fast-paced, autonomous environment.
- Familiarity with various asset classes and trading venues is a plus.
- A passion for financial markets and quantitative research is essential.
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Quantitative Analyst
Posted 13 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 21 days ago
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Job Description
Our client, a prestigious international financial institution, is actively recruiting a Lead Quantitative Analyst to spearhead their advanced analytics and modeling initiatives. This is a fully remote role, offering a unique opportunity to leverage your expertise in a global, distributed team. You will be responsible for developing, implementing, and validating complex quantitative models for risk management, pricing, and trading strategies. This includes designing and executing sophisticated statistical and econometric analyses, as well as building predictive models using machine learning techniques. Your role will involve close collaboration with trading desks, risk management teams, and IT departments to ensure the models meet business requirements and regulatory standards. The ideal candidate will possess a Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. A minimum of 7 years of experience in quantitative finance, with a strong focus on model development and validation, is required. Proven expertise in programming languages like Python, R, C++, or Java, along with deep knowledge of statistical modeling and machine learning algorithms, is essential. Excellent problem-solving skills, a rigorous analytical mindset, and the ability to communicate complex technical concepts to non-technical audiences are critical for success. You will lead a team of quantitative analysts, providing mentorship and guidance, and ensuring the highest quality of work. This position demands exceptional attention to detail, a proactive approach to problem-solving, and the ability to thrive in a demanding, fast-paced, remote environment. We are seeking a leader who can drive innovation and contribute significantly to the firm's competitive edge. This is an unparalleled opportunity to shape the future of quantitative finance from a remote setting. This role is linked to our presence in Ongata Rongai, Kajiado, KE , but is entirely remote.
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Principal Quantitative Analyst
Posted 20 days ago
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Job Description
Our client, a prestigious financial institution, is actively recruiting a Principal Quantitative Analyst to join their advanced, fully remote analytics team. This challenging position offers the opportunity to shape sophisticated financial models and risk management strategies from a remote work environment. You will be responsible for developing, implementing, and validating complex quantitative models for pricing, risk assessment, and trading strategies across various asset classes. This involves leveraging advanced statistical methods, machine learning techniques, and programming languages (e.g., Python, R, C++) to analyze large financial datasets. Your work will directly inform critical business decisions, contributing to the firm's competitive edge. You will collaborate with traders, portfolio managers, and risk officers, translating complex analytical findings into actionable insights. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science) and extensive experience in financial modeling and quantitative analysis. Proven expertise in developing and implementing models in a production environment, coupled with a deep understanding of financial markets, is essential. Excellent communication skills are required to articulate complex technical concepts to non-technical audiences. This fully remote role offers unparalleled intellectual stimulation and the chance to make a significant impact on global financial markets, with oversight for operations relevant to the Ongata Rongai, Kajiado, KE area.
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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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6
Senior Quantitative Analyst
Posted 21 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 21 days ago
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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 6 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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