1,326 Remote Lead Quantitative Analyst jobs in Kenya
Remote Lead Quantitative Analyst - Financial Modeling
Posted 5 days ago
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Job Description
Our client, a distinguished leader in the financial services sector, is seeking a highly skilled and analytical Remote Lead Quantitative Analyst to join their esteemed team. This is a critical, fully remote role focused on developing and implementing sophisticated financial models that drive strategic decision-making and risk management across the organization. You will leverage your deep understanding of complex financial instruments, statistical modeling, and programming to build, test, and deploy cutting-edge quantitative solutions. This position offers the opportunity to work on challenging projects with a global impact, all from the convenience of your remote workspace.
Your responsibilities will include leading the design and development of complex financial models for pricing, risk assessment, and valuation of various financial products, including derivatives, equities, and fixed income. You will conduct rigorous statistical analysis, back-testing, and validation of models to ensure accuracy and reliability. Collaborating closely with traders, portfolio managers, and risk officers, you will translate their needs into actionable quantitative strategies. Developing and maintaining high-quality code in languages such as Python, R, or C++ for model implementation and integration into production systems will be a significant part of your duties. You will also stay abreast of the latest academic research and industry trends in quantitative finance, identifying opportunities to enhance existing methodologies and introduce innovative approaches.
The ideal candidate will hold a Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science, complemented by a minimum of 7 years of experience in quantitative analysis within investment banking, asset management, or a related financial institution. Demonstrated expertise in financial modeling, stochastic calculus, time series analysis, and machine learning techniques is essential. Proficiency in programming languages (Python, R, C++) and experience with financial databases and libraries (e.g., Bloomberg, FactSet) are required. Strong analytical, problem-solving, and communication skills are necessary to effectively convey complex findings to both technical and non-technical audiences. If you are a passionate quant ready to make a significant impact remotely, we encourage you to apply.
Your responsibilities will include leading the design and development of complex financial models for pricing, risk assessment, and valuation of various financial products, including derivatives, equities, and fixed income. You will conduct rigorous statistical analysis, back-testing, and validation of models to ensure accuracy and reliability. Collaborating closely with traders, portfolio managers, and risk officers, you will translate their needs into actionable quantitative strategies. Developing and maintaining high-quality code in languages such as Python, R, or C++ for model implementation and integration into production systems will be a significant part of your duties. You will also stay abreast of the latest academic research and industry trends in quantitative finance, identifying opportunities to enhance existing methodologies and introduce innovative approaches.
The ideal candidate will hold a Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science, complemented by a minimum of 7 years of experience in quantitative analysis within investment banking, asset management, or a related financial institution. Demonstrated expertise in financial modeling, stochastic calculus, time series analysis, and machine learning techniques is essential. Proficiency in programming languages (Python, R, C++) and experience with financial databases and libraries (e.g., Bloomberg, FactSet) are required. Strong analytical, problem-solving, and communication skills are necessary to effectively convey complex findings to both technical and non-technical audiences. If you are a passionate quant ready to make a significant impact remotely, we encourage you to apply.
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Remote Lead Quantitative Analyst
Posted 21 days ago
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Job Description
Our client, a dynamic and rapidly growing fintech company, is seeking a highly skilled and motivated Remote Lead Quantitative Analyst to join their esteemed team. This is a fully remote position, offering the flexibility to work from anywhere. You will be at the forefront of developing sophisticated financial models, algorithms, and analytical tools to drive investment strategies, manage risk, and optimize financial performance. Your responsibilities will encompass designing, implementing, and back-testing complex quantitative strategies across various asset classes. This includes conducting in-depth market research, performing statistical analysis, and developing predictive models.
The ideal candidate will possess a Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering, with a minimum of 6 years of experience in quantitative finance, algorithmic trading, or risk management. Demonstrated expertise in programming languages like Python, R, C++, and SQL is essential, along with a strong understanding of financial markets and derivatives. You will be responsible for leading a team of quantitative analysts, providing technical guidance, and ensuring the quality and accuracy of their work. Excellent communication and presentation skills are vital for articulating complex quantitative concepts to both technical and non-technical stakeholders. The ability to work independently, manage project timelines effectively, and contribute to a collaborative remote team environment is paramount. We are looking for a strategic thinker with a passion for innovation and a proven ability to translate complex data into actionable financial insights. This role offers a unique opportunity to shape the future of quantitative finance within a forward-thinking organization, contributing to significant financial outcomes.
The ideal candidate will possess a Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering, with a minimum of 6 years of experience in quantitative finance, algorithmic trading, or risk management. Demonstrated expertise in programming languages like Python, R, C++, and SQL is essential, along with a strong understanding of financial markets and derivatives. You will be responsible for leading a team of quantitative analysts, providing technical guidance, and ensuring the quality and accuracy of their work. Excellent communication and presentation skills are vital for articulating complex quantitative concepts to both technical and non-technical stakeholders. The ability to work independently, manage project timelines effectively, and contribute to a collaborative remote team environment is paramount. We are looking for a strategic thinker with a passion for innovation and a proven ability to translate complex data into actionable financial insights. This role offers a unique opportunity to shape the future of quantitative finance within a forward-thinking organization, contributing to significant financial outcomes.
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Remote Lead Quantitative Analyst (Quant)
Posted 4 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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Remote Lead Quantitative Analyst (FinTech)
Posted 13 days ago
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Job Description
Our client, a dynamic and rapidly growing FinTech innovator, is searching for a Lead Quantitative Analyst to join their fully remote team. This role will be at the forefront of developing and implementing sophisticated quantitative models and strategies that drive our core business operations and product development. You will leverage advanced mathematical, statistical, and computational techniques to analyze complex financial data, identify market opportunities, and mitigate risk. Key responsibilities include designing, building, testing, and deploying quantitative trading algorithms, risk management models, and pricing frameworks. You will lead a team of talented quants, providing technical guidance, mentorship, and strategic direction. A significant part of the role will involve collaborating closely with engineering, product, and business teams to translate research ideas into production-ready solutions. The ideal candidate will possess a deep understanding of financial markets, derivatives, and econometric modeling, coupled with exceptional programming skills in languages such as Python, R, C++, or Java. Experience with machine learning techniques applied to finance is highly advantageous. This position demands strong analytical rigor, creativity in problem-solving, and the ability to manage multiple projects in a fast-paced, remote environment. A Master's or Ph.D. in a quantitative field (e.g., Financial Engineering, Statistics, Physics, Mathematics) is typically required, along with several years of progressive experience in quantitative finance or a related analytical role. This is a unique opportunity to make a significant impact on the future of finance, working with cutting-edge technology and a talented, dispersed team, all from your preferred remote location.
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Remote Lead Quantitative Analyst, Investment Banking
Posted 19 days ago
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Job Description
Our client, a prestigious investment bank, is looking for an exceptional Remote Lead Quantitative Analyst to join their dynamic finance team. This is a fully remote role, enabling top talent to contribute from anywhere in the world. You will be at the forefront of developing and implementing sophisticated quantitative models for pricing, risk management, and trading strategies. Your responsibilities will include designing, testing, and validating complex financial models, conducting in-depth market research, and providing insights to trading and portfolio management teams. You will collaborate closely with traders, risk managers, and technology developers to ensure the effective implementation and application of quantitative solutions. The ideal candidate will have a strong academic background in a quantitative field such as mathematics, statistics, physics, or financial engineering, coupled with significant experience in quantitative finance. Proficiency in programming languages like Python, C++, or R, and experience with financial modeling software are essential. You must possess exceptional analytical, problem-solving, and critical thinking skills, with a keen attention to detail. The ability to communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences is crucial. This role requires a highly motivated individual who can work independently, manage challenging projects, and drive innovation within a demanding financial environment. If you are a brilliant quantitative mind seeking to make a significant impact in investment banking from a remote setting, this opportunity is for you.
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Lead Quantitative Analyst - Remote Financial Modeling
Posted 4 days ago
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Job Description
Our client is seeking a highly analytical and experienced Lead Quantitative Analyst to join their sophisticated remote finance team. This role is essential for developing and implementing advanced financial models, risk management strategies, and data-driven insights to support strategic decision-making. The ideal candidate will possess a profound understanding of financial markets, complex mathematical concepts, and statistical modeling techniques. You will be responsible for designing, building, and validating sophisticated models for areas such as pricing, risk assessment, portfolio optimization, and algorithmic trading. Your expertise will be crucial in analyzing large datasets, identifying trends, and providing actionable recommendations to the trading desk, portfolio managers, and executive leadership. This position requires strong programming skills and the ability to translate complex quantitative findings into clear, concise reports and presentations for both technical and non-technical audiences. You will also mentor junior analysts, guide research initiatives, and contribute to the overall quantitative strategy of the firm. The ability to work autonomously and collaboratively within a remote team environment is critical. This is an exceptional opportunity to apply cutting-edge quantitative techniques to critical financial challenges in a flexible, remote setting. We are looking for an individual with a rigorous analytical approach and a passion for innovation in financial services.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain sophisticated quantitative models for financial markets.
- Conduct complex statistical analysis and data mining to identify market trends and opportunities.
- Design and validate models for asset pricing, risk management, and portfolio optimization.
- Collaborate with traders, portfolio managers, and risk officers to provide data-driven insights.
- Translate complex quantitative findings into actionable recommendations for business stakeholders.
- Develop and implement back-testing and performance evaluation methodologies.
- Mentor and guide junior quantitative analysts and researchers.
- Contribute to the firm's research and development of new quantitative strategies.
- Ensure the accuracy, integrity, and robustness of all developed models.
- Stay abreast of advancements in quantitative finance, econometrics, and computational methods.
- Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
- Minimum of 8 years of progressive experience in quantitative analysis within the financial services industry.
- Proven expertise in developing and implementing complex financial models.
- Strong programming skills in languages such as Python, R, C++, or Java.
- Proficiency with statistical modeling techniques, machine learning algorithms, and econometrics.
- Deep understanding of financial markets, derivatives, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Demonstrated ability to work independently and as part of a remote team.
- Experience with large-scale data processing and database management is a plus.
This advertiser has chosen not to accept applicants from your region.
5
Lead Remote Quantitative Analyst
Posted 4 days ago
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Job Description
Our client, a leading financial institution, is seeking a highly analytical and innovative Lead Remote Quantitative Analyst to join our sophisticated trading and risk management team. This senior role will be responsible for developing, implementing, and validating complex mathematical models and algorithms used in pricing, risk assessment, and algorithmic trading strategies. The ideal candidate will possess a deep understanding of financial markets, advanced statistical techniques, and sophisticated programming skills. You will lead a team of quantitative analysts, guiding them in research, model development, and implementation. Responsibilities include designing and backtesting trading algorithms, performing sensitivity analysis, and ensuring the robustness and accuracy of all quantitative models. Collaboration with portfolio managers, traders, and risk officers is essential to translate market insights into actionable trading strategies and effective risk management frameworks. This fully remote position requires exceptional problem-solving abilities and a proven track record of delivering impactful quantitative solutions within the financial industry. Proficiency in programming languages such as Python, R, C++, and SQL is mandatory. Experience with machine learning techniques applied to finance is highly advantageous. You will be expected to stay abreast of market trends, regulatory changes, and emerging technologies to continuously enhance our quantitative capabilities. A Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, or Computer Science is required, along with significant experience in a similar quantitative role.
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6
Lead Quantitative Analyst (Remote)
Posted 20 days ago
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Job Description
Our client, a prominent financial institution, is seeking an exceptional Lead Quantitative Analyst to spearhead their sophisticated analytics initiatives. This is a fully remote role, empowering you to leverage your deep expertise in financial modeling, statistical analysis, and programming from your chosen location. You will be responsible for developing and implementing complex quantitative models for trading, risk management, and portfolio optimization. The ideal candidate will possess a strong academic background in a quantitative discipline, coupled with extensive practical experience in the financial services industry. Your insights will be crucial in driving strategic decision-making and enhancing the firm's competitive edge.
Responsibilities:
Qualifications:
This 100% remote opportunity allows you to work from anywhere. You will be a critical asset to the financial sector, providing expertise that influences markets, including those potentially connected to **Ruiru, Kiambu, KE**. This role demands intellectual rigor and a passion for financial innovation.
Responsibilities:
- Develop, implement, and validate sophisticated quantitative models for pricing, hedging, and risk management of financial instruments.
- Conduct advanced statistical analysis, time-series modeling, and machine learning techniques to identify market opportunities and risks.
- Design and build high-performance trading algorithms and strategies.
- Collaborate closely with traders, portfolio managers, and risk managers to understand their needs and provide data-driven solutions.
- Contribute to the development and maintenance of the firm's quantitative infrastructure and data platforms.
- Perform back-testing and performance attribution of trading strategies and models.
- Stay abreast of the latest developments in quantitative finance, econometrics, and computational finance.
- Communicate complex technical findings and recommendations to non-technical stakeholders effectively.
- Mentor junior quantitative analysts and contribute to the team's overall technical growth.
- Ensure the integrity and accuracy of financial data used in modeling and analysis.
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 as a Quantitative Analyst in investment banking, hedge funds, or asset management.
- Strong programming skills in languages such as Python, C++, R, or MATLAB.
- Proven experience with financial modeling, derivative pricing, and risk management techniques.
- Expertise in statistical modeling, machine learning, and econometrics.
- Excellent understanding of financial markets and instruments.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently and as part of a global, remote team.
- Experience with large datasets and distributed computing frameworks is a plus.
This 100% remote opportunity allows you to work from anywhere. You will be a critical asset to the financial sector, providing expertise that influences markets, including those potentially connected to **Ruiru, Kiambu, KE**. This role demands intellectual rigor and a passion for financial innovation.
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7
Lead Quantitative Analyst - Remote Trading Strategies
Posted 21 days ago
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Job Description
Our client, a leading global financial institution, is seeking a highly skilled and innovative Lead Quantitative Analyst to spearhead the development of sophisticated trading strategies. This is a fully remote position, allowing you to leverage your expertise from any location. You will be responsible for designing, implementing, and backtesting complex financial models, algorithms, and analytical tools to identify and exploit market inefficiencies. This role requires a deep understanding of financial markets, statistical modeling, and advanced programming techniques. Key responsibilities include conducting rigorous statistical analysis of market data, developing predictive models for asset pricing and risk management, and collaborating with trading desks to execute strategy ideas. You will also play a vital role in mentoring junior analysts and contributing to the overall research agenda. The ideal candidate possesses exceptional analytical and quantitative skills, a proven track record in quantitative finance, and the ability to translate complex research into actionable trading insights. Proficiency in programming languages like Python, R, or C++, along with experience in machine learning and big data technologies, is essential. This is an unparalleled opportunity to make a significant impact on trading performance within a dynamic and intellectually stimulating remote environment. We are looking for a self-starter with a strong work ethic and the ability to thrive in a fast-paced, results-oriented setting. The successful candidate will be expected to stay abreast of the latest developments in quantitative finance and algorithmic trading. This role demands a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, or Computer Science, with a minimum of 7 years of relevant experience in the financial industry. A strong understanding of derivative pricing, risk modeling, and portfolio optimization is required. Communication skills are paramount, as you will need to articulate complex quantitative concepts to both technical and non-technical stakeholders in a clear and concise manner. Join us to drive innovation in finance and shape the future of trading through cutting-edge quantitative analysis, all while enjoying the benefits of a remote work arrangement.
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8
Remote Lead Quantitative Financial Analyst
Posted 21 days ago
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Job Description
Our client, a prestigious financial institution, is seeking a Lead Quantitative Financial Analyst to join their innovative and fully remote team. This role is ideal for a highly analytical and technically proficient individual looking to drive sophisticated financial modeling and strategic decision-making. You will be responsible for developing, validating, and implementing complex quantitative models for risk management, trading strategies, portfolio optimization, and valuation across various asset classes. Your expertise will be vital in analyzing market data, identifying trends, and providing actionable insights to senior management and trading desks. Key responsibilities include performing scenario analysis, stress testing, and back-testing of models to ensure their robustness and accuracy. You will also work on developing algorithms for algorithmic trading, risk assessment, and predictive analytics. The Lead Quantitative Financial Analyst will play a crucial part in mentoring junior analysts, leading projects, and contributing to the enhancement of the firm's quantitative capabilities. A strong foundation in mathematics, statistics, econometrics, and programming (Python, R, C++) is essential. Familiarity with financial instruments, derivatives, and regulatory frameworks is a significant advantage. This is a remote-first position, offering the opportunity to work from your preferred location while collaborating with a global team of finance professionals. The role is conceptually anchored to our operations near Kitale, Trans-Nzoia, KE , but the work is performed entirely remotely.
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