1,595 Senior Quantitative Analyst Finance jobs in Kenya
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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Lead Quantitative Analyst - Investment Banking
Posted 6 days ago
Job Viewed
Job Description
Our client is looking for a highly accomplished Lead Quantitative Analyst to join their esteemed remote investment banking division. This pivotal role demands a sophisticated understanding of financial markets, complex derivatives, and advanced statistical modeling. You will be instrumental in developing, implementing, and validating cutting-edge quantitative models used for pricing, risk management, and trading strategies. This position requires a candidate who can thrive in a fast-paced, intellectually stimulating environment and contribute significantly to the firm's strategic decision-making processes, all while working remotely.
Responsibilities include: designing and coding sophisticated financial models using languages like Python, C++, or R; performing rigorous back-testing and stress testing of models; developing risk metrics and sensitivity analyses; collaborating closely with traders, portfolio managers, and other quantitative professionals to translate business needs into analytical solutions; documenting model methodologies and assumptions thoroughly; presenting complex quantitative findings to senior management and business stakeholders; and ensuring compliance with regulatory requirements. You will also play a key role in mentoring junior analysts and contributing to the team's overall technical growth. The ideal candidate will possess exceptional analytical and problem-solving skills, a keen eye for detail, and the ability to work independently and manage multiple priorities effectively. A strong academic background in a quantitative discipline and a proven track record in the financial industry are essential. You will leverage your expertise to drive innovation and enhance the firm's competitive edge in the global financial landscape. This is a unique opportunity to apply your quantitative acumen to challenging financial problems within a fully remote setup, making a tangible impact on the firm's profitability and risk profile. We are committed to fostering a collaborative and supportive remote work environment where your contributions are recognized and valued.
Responsibilities include: designing and coding sophisticated financial models using languages like Python, C++, or R; performing rigorous back-testing and stress testing of models; developing risk metrics and sensitivity analyses; collaborating closely with traders, portfolio managers, and other quantitative professionals to translate business needs into analytical solutions; documenting model methodologies and assumptions thoroughly; presenting complex quantitative findings to senior management and business stakeholders; and ensuring compliance with regulatory requirements. You will also play a key role in mentoring junior analysts and contributing to the team's overall technical growth. The ideal candidate will possess exceptional analytical and problem-solving skills, a keen eye for detail, and the ability to work independently and manage multiple priorities effectively. A strong academic background in a quantitative discipline and a proven track record in the financial industry are essential. You will leverage your expertise to drive innovation and enhance the firm's competitive edge in the global financial landscape. This is a unique opportunity to apply your quantitative acumen to challenging financial problems within a fully remote setup, making a tangible impact on the firm's profitability and risk profile. We are committed to fostering a collaborative and supportive remote work environment where your contributions are recognized and valued.
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Senior Quantitative Analyst (Finance)
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-based finance team. This role is crucial for developing and implementing sophisticated financial models, algorithms, and trading strategies. You will be responsible for analyzing large datasets, identifying market trends, and providing data-driven insights to support investment decisions. As a remote employee, you will collaborate closely with portfolio managers, traders, and other quantitative analysts using advanced virtual collaboration tools. Key responsibilities include building predictive models, back-testing strategies, risk assessment, and optimizing portfolio performance. The ideal candidate possesses a strong academic background in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering, coupled with at least 5 years of relevant experience in quantitative finance or investment banking. Proficiency in programming languages like Python, R, C++, or MATLAB is essential, along with expertise in statistical modeling, machine learning, and financial econometrics. You should have a deep understanding of financial markets, derivatives, and risk management principles. Excellent problem-solving skills, a rigorous analytical approach, and the ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences are paramount. This is an exciting opportunity to contribute to cutting-edge financial research and strategy development in a fully remote setting. We are looking for individuals who are proactive, intellectually curious, and committed to excellence in financial analysis. Experience with big data technologies and cloud platforms is a plus. Join our innovative team and make a significant impact on financial strategies from anywhere, serving financial institutions linked to Eldoret, Uasin Gishu, KE .
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Senior Quantitative Analyst, Investment Strategies
Posted 10 days ago
Job Viewed
Job Description
Our client, a leading financial institution, is seeking a highly analytical and motivated Senior Quantitative Analyst to join their investment strategies team. This is a fully remote position, allowing you to leverage your expertise from anywhere. You will be instrumental in developing and implementing sophisticated quantitative models and strategies to drive investment performance. The ideal candidate possesses a strong academic background in a quantitative field, advanced programming skills, and a deep understanding of financial markets. You will work closely with portfolio managers and traders to identify market opportunities and manage risk.
Key Responsibilities:
Key Responsibilities:
- Develop, backtest, and implement quantitative trading models and investment strategies.
- Conduct rigorous statistical analysis of market data to identify predictive signals and patterns.
- Build and maintain sophisticated financial models for risk management, portfolio optimization, and asset allocation.
- Collaborate with portfolio managers and traders to translate research ideas into actionable trading strategies.
- Write high-quality, production-ready code in languages such as Python, R, or C++.
- Analyze and interpret complex datasets, ensuring data integrity and accuracy.
- Research and evaluate new data sources and analytical techniques.
- Monitor the performance of existing models and strategies, making adjustments as needed.
- Contribute to the development of risk management frameworks and tools.
- Stay abreast of academic research and industry developments in quantitative finance.
- Communicate complex quantitative concepts clearly to both technical and non-technical audiences.
- Ensure compliance with all regulatory requirements and internal policies.
- Mentor junior analysts and contribute to the team's overall knowledge base.
- Optimize code and computational processes for efficiency and scalability.
- Participate in firm-wide strategy meetings and contribute to long-term vision.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5-7 years of experience in quantitative analysis, ideally within asset management or hedge funds.
- Advanced proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, R, SQL).
- Strong understanding of statistical modeling, time series analysis, machine learning, and econometrics.
- Solid knowledge of financial markets, instruments, and trading strategies.
- Experience with large datasets and data manipulation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities.
- Ability to work independently and collaboratively in a remote environment.
- Detail-oriented with a commitment to rigor and accuracy.
- Familiarity with cloud computing platforms (e.g., AWS, Azure) is a plus.
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Senior Quantitative Analyst - Investment Banking
Posted 21 days ago
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Job Description
Our client, a leading global financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their dynamic team. This is a fully remote position, offering a unique opportunity to leverage your quantitative skills in a flexible work environment. You will be responsible for developing and implementing sophisticated mathematical models for pricing complex financial derivatives, managing risk, and optimizing trading strategies. This involves using advanced statistical techniques, programming languages (e.g., Python, C++, R), and financial modeling software. You will work closely with traders, portfolio managers, and risk management professionals to provide insights and solutions that drive business decisions. The role requires a deep understanding of financial markets, derivatives, and econometrics. You will contribute to the design and back-testing of trading algorithms, perform scenario analysis, and conduct research into new quantitative methodologies. The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering, coupled with a minimum of 5 years of relevant experience in investment banking or hedge funds. Exceptional programming skills and a proven ability to translate complex mathematical concepts into practical applications are essential. Strong communication skills are required to articulate findings and recommendations to both technical and non-technical audiences. This remote role demands a proactive, detail-oriented individual with a strong problem-solving aptitude and the ability to work independently while collaborating effectively with a globally distributed team. You will play a crucial role in enhancing the firm's quantitative capabilities and contributing to its competitive edge in the financial markets. We are looking for a candidate who is passionate about financial modeling, eager to tackle challenging quantitative problems, and committed to continuous learning in the rapidly evolving world of finance. The ability to manage large datasets and conduct rigorous analysis within a remote setup is paramount for success.
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Remote Quantitative Analyst - Investment Banking
Posted 1 day ago
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Job Description
Join a leading investment bank as a Remote Quantitative Analyst, contributing to complex financial modeling and risk management from a remote location. This highly specialized role requires a strong mathematical and statistical background, coupled with advanced programming skills to develop and implement quantitative models for trading, risk assessment, and portfolio optimization. You will work on sophisticated financial instruments and strategies, analyzing market data to identify opportunities and mitigate risks. Key responsibilities include building, testing, and deploying pricing models, risk models, and algorithmic trading strategies. You will collaborate closely with traders, portfolio managers, and risk managers to provide quantitative insights and support strategic decision-making. The ideal candidate possesses exceptional analytical and problem-solving skills, a deep understanding of financial markets, and fluency in programming languages such as Python, R, C++, or Java. Experience with statistical modeling, machine learning, and big data technologies is highly desirable. This role demands a rigorous, detail-oriented approach and the ability to communicate complex quantitative concepts effectively to both technical and non-technical audiences in a remote setting. This is an excellent opportunity for a skilled quant to apply their expertise in a challenging and rewarding remote environment.
Responsibilities:
Qualifications:
This is a prime opportunity for a highly skilled quant to excel in a remote, high-impact role.
Responsibilities:
- Develop, implement, and backtest quantitative models for financial markets.
- Design and build algorithms for trading, risk management, and portfolio optimization.
- Analyze large datasets to identify market trends and opportunities.
- Collaborate with trading desks and risk management teams to support decision-making.
- Ensure the accuracy, robustness, and efficiency of quantitative models.
- Stay current with advancements in quantitative finance, mathematics, and statistics.
- Communicate complex quantitative concepts clearly to stakeholders.
- Contribute to the development of proprietary trading strategies.
- Maintain and enhance existing quantitative models and systems.
- Ensure compliance with regulatory requirements and internal policies.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
Qualifications:
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- 5+ years of experience as a Quantitative Analyst in investment banking, hedge funds, or asset management.
- Proficiency in programming languages such as Python, R, C++, or Java.
- Strong knowledge of statistical modeling, time series analysis, and machine learning techniques.
- Deep understanding of financial markets, derivatives, and risk management principles.
- Experience with large-scale data analysis and database technologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills.
- Ability to work independently and manage complex projects in a remote environment.
- Experience with high-frequency trading or algorithmic trading is a plus.
This is a prime opportunity for a highly skilled quant to excel in a remote, high-impact role.
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5
Lead Quantitative Analyst - Investment Banking (Remote)
Posted 6 days ago
Job Viewed
Job Description
Our client, a prestigious global investment bank, is seeking a highly skilled and analytical Lead Quantitative Analyst to join their sophisticated financial modeling and risk management team. This is a fully remote position, offering the opportunity to work with a world-class financial institution from any location. You will be instrumental in developing, implementing, and validating complex quantitative models for pricing financial instruments, managing market risk, and optimizing trading strategies. The ideal candidate will possess a deep understanding of financial markets, advanced mathematics, statistics, and programming, with a proven ability to translate complex financial concepts into robust, practical models. You will collaborate with traders, portfolio managers, and risk officers to drive innovation and enhance financial decision-making.
Key Responsibilities:
Key Responsibilities:
- Develop, test, and implement sophisticated quantitative models for pricing derivatives, fixed income securities, and other financial instruments.
- Design and build algorithms for market risk management, including VaR calculations, stress testing, and scenario analysis.
- Conduct empirical research to identify market inefficiencies and potential trading opportunities.
- Develop and optimize trading strategies based on quantitative insights and back-testing.
- Collaborate with front-office trading desks to provide real-time quantitative support and product development.
- Work with risk management and compliance teams to ensure models meet regulatory requirements and internal standards.
- Perform rigorous validation of existing and new models, assessing their accuracy and limitations.
- Develop and maintain high-quality code in languages such as Python, C++, or R for model implementation and data analysis.
- Stay abreast of the latest developments in quantitative finance, econometrics, and machine learning.
- Mentor and guide junior quantitative analysts, fostering technical expertise and best practices.
- Communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences.
- Contribute to the strategic direction of the quantitative research group.
- 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, ideally within investment banking or asset management.
- Proven expertise in financial modeling, stochastic calculus, time series analysis, and statistical inference.
- Strong programming skills in Python, C++, or R, with experience in developing and deploying complex models.
- In-depth knowledge of financial markets, derivatives, and risk management principles.
- Experience with machine learning techniques applied to finance is a strong plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills.
- Ability to work independently and as part of a highly skilled remote team.
- Demonstrated ability to manage multiple projects and meet tight deadlines.
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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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Remote Senior Quantitative Analyst - Investment Strategies
Posted 21 days ago
Job Viewed
Job Description
Our client, a prestigious global investment firm, is seeking a highly analytical and experienced Remote Senior Quantitative Analyst to join their sophisticated banking and finance division. This is a fully remote position, offering the chance to work with complex financial data, develop cutting-edge investment models, and contribute to significant financial strategies from your preferred location. You will play a crucial role in deriving actionable insights from market data and contributing to investment decision-making processes.
As a Senior Quantitative Analyst, you will be responsible for developing, testing, and implementing sophisticated quantitative models for various financial applications, including risk management, portfolio optimization, and algorithmic trading. Your work will involve extensive data analysis, statistical modeling, and programming. You will collaborate closely with portfolio managers, traders, and risk officers to understand their needs and translate them into quantitative solutions. This role requires a deep understanding of financial markets, advanced statistical techniques, and proficiency in programming languages commonly used in quantitative finance. Strong remote communication and collaboration skills are essential.
Key responsibilities include:
As a Senior Quantitative Analyst, you will be responsible for developing, testing, and implementing sophisticated quantitative models for various financial applications, including risk management, portfolio optimization, and algorithmic trading. Your work will involve extensive data analysis, statistical modeling, and programming. You will collaborate closely with portfolio managers, traders, and risk officers to understand their needs and translate them into quantitative solutions. This role requires a deep understanding of financial markets, advanced statistical techniques, and proficiency in programming languages commonly used in quantitative finance. Strong remote communication and collaboration skills are essential.
Key responsibilities include:
- Developing and implementing quantitative models for asset pricing, risk management, and portfolio construction.
- Conducting in-depth statistical analysis of market data to identify trends and opportunities.
- Designing and back-testing trading strategies using historical data.
- Collaborating with portfolio managers and traders to provide quantitative insights and support investment decisions.
- Monitoring the performance of quantitative models and making necessary adjustments.
- Researching and evaluating new quantitative methodologies and technologies.
- Developing tools and software for data analysis, model implementation, and performance monitoring.
- Communicating complex quantitative concepts to both technical and non-technical audiences.
- Ensuring compliance with regulatory requirements and internal risk policies.
- Contributing to the development and mentoring of junior quantitative analysts.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, Computer Science, or a related discipline.
- Minimum of 7 years of experience in quantitative analysis, financial modeling, or a related role within the banking and finance industry.
- Proven expertise in statistical modeling, time series analysis, and econometrics.
- Strong proficiency in programming languages such as Python, R, C++, or Java, and experience with relevant libraries (e.g., NumPy, Pandas, SciPy).
- Experience with financial data platforms (e.g., Bloomberg, Refinitiv) and databases.
- Solid understanding of financial markets, derivatives, and investment strategies.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex quantitative concepts clearly.
- Ability to work independently and manage multiple projects in a remote setting.
- Experience with machine learning techniques applied to finance is a plus.
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Senior Quantitative Analyst - Investment Banking (Remote)
Posted 21 days ago
Job Viewed
Job Description
Our client, a leading institution in the financial services sector, is seeking a highly skilled Senior Quantitative Analyst to join their elite Investment Banking division on a fully remote basis. This pivotal role requires a sophisticated understanding of financial markets, advanced mathematical modeling, and sophisticated programming skills to develop and implement complex trading strategies, risk management models, and pricing tools. You will be responsible for designing, testing, and deploying quantitative models that drive profitability and mitigate risk across various asset classes. The ideal candidate possesses a strong academic background in a quantitative discipline, coupled with extensive experience in financial engineering, econometrics, and statistical analysis. Your responsibilities will include analyzing market data, identifying trading opportunities, and developing algorithms for automated trading systems. You will collaborate closely with portfolio managers, traders, and risk officers to provide quantitative insights and support strategic decision-making. This is a demanding, fully remote position, requiring exceptional analytical rigor, problem-solving abilities, and the capacity to work autonomously with meticulous attention to detail. Excellent communication skills are essential to articulate complex quantitative concepts to both technical and non-technical audiences. While the role is remote, individuals with familiarity or professional connections within the financial hub of Bungoma, Bungoma, KE may find their local context provides valuable market intuition. You will be at the forefront of quantitative finance, driving innovation and delivering superior financial solutions. Experience with machine learning, high-frequency trading, and derivative pricing is highly valued. This is an exceptional opportunity to apply your quantitative expertise in a challenging and rewarding remote environment, significantly impacting investment banking operations.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and validate quantitative models for pricing, risk management, and trading strategies.
- Analyze large datasets of market and economic data to identify patterns and trading opportunities.
- Design and backtest algorithmic trading strategies across various asset classes (equities, fixed income, derivatives).
- Build and maintain sophisticated financial models using programming languages such as Python, C++, or R.
- Collaborate with traders, portfolio managers, and risk managers to support investment decisions.
- Conduct scenario analysis and stress testing to assess model robustness and market risk.
- Develop tools and dashboards for real-time monitoring of market activity and risk exposures.
- Stay abreast of the latest advancements in quantitative finance, econometrics, and machine learning.
- Document methodologies, model assumptions, and validation results thoroughly.
- Contribute to the firm's intellectual property through innovation in quantitative finance.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Physics, Computer Science, or Statistics.
- Minimum of 7 years of experience as a Quantitative Analyst in investment banking, hedge funds, or asset management.
- Proven expertise in financial modeling, statistical analysis, and econometrics.
- Advanced programming skills in Python, C++, or R, with a strong emphasis on performance optimization.
- Deep understanding of financial markets, derivative products, and risk management principles.
- Experience with machine learning techniques and their application in finance.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex concepts clearly.
- Demonstrated ability to work independently and manage multiple complex projects in a remote setting.
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