112 Senior Quantitative Analyst Quant Remote jobs in Kenya
Senior Quantitative Analyst (Quant) - Remote
Posted 20 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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Senior Quantitative Analyst (Quant) - Remote Trading Strategies
Posted 17 days ago
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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.
This advertiser has chosen not to accept applicants from your region.
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Quantitative Analyst (Quant) - Algorithmic Trading (Remote)
Posted 20 days ago
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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.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst (Quant) - Risk Management (Remote)
Posted 20 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.
This advertiser has chosen not to accept applicants from your region.
3
Remote Lead Quantitative Analyst (Quant)
Posted 3 days ago
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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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4
Remote Senior Quantitative Analyst (Quant)
Posted 16 days ago
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Job Description
Our client, a prominent financial institution, is seeking an exceptionally talented Senior Quantitative Analyst (Quant) to join their sophisticated risk management and trading strategy team. This is a fully remote position, offering the flexibility to work from anywhere while contributing to critical financial modeling and analysis. You will be responsible for developing and implementing complex mathematical models and statistical techniques to assess financial risk, price derivatives, and optimize trading strategies. Your expertise will be vital in designing, testing, and validating sophisticated quantitative models across various asset classes. Key responsibilities include analyzing large datasets, performing statistical inference, and writing robust code to implement models in production environments. You will collaborate closely with traders, portfolio managers, and risk officers to provide quantitative insights and solutions. The ideal candidate will possess a deep understanding of financial markets, stochastic calculus, probability theory, and advanced statistical modeling. Proficiency in programming languages such as Python, C++, or R is essential, along with experience in financial libraries and platforms. A strong academic background in a quantitative field (e.g., Mathematics, Physics, Statistics, Financial Engineering) is required, often at the Master's or PhD level. Experience with machine learning techniques applied to finance is highly desirable. This role demands exceptional analytical rigor, problem-solving skills, and the ability to communicate complex quantitative concepts to non-technical audiences. The successful candidate will be highly motivated, detail-oriented, and capable of working independently in a demanding, fast-paced environment. This is an exciting opportunity to apply your quantitative skills to cutting-edge financial challenges, working remotely from your location near **Machakos, Machakos, KE**. You will contribute to model validation, backtesting, and the continuous improvement of our client's quantitative infrastructure. The ability to work autonomously and manage multiple projects with tight deadlines is critical. We are looking for an innovative thinker who can drive sophisticated financial modeling and contribute to the firm's success.
This advertiser has chosen not to accept applicants from your region.
5
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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6
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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7
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.
This advertiser has chosen not to accept applicants from your region.
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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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