Explore quantitative analyst jobs, where analytical skills meet financial markets. These roles involve developing and implementing mathematical models for pricing, 837 Quantitative Analyst jobs in Kenya
Senior Quantitative Analyst - Financial Markets
50200 Tuwan
KES250000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a leading global investment bank, is seeking a highly accomplished Senior Quantitative Analyst with expertise in Financial Markets to join their fully remote trading strategies and risk management team. This role is instrumental in developing and implementing sophisticated mathematical models and trading algorithms that drive profitability and manage risk in complex financial markets. You will leverage your deep understanding of finance, statistics, and programming to analyze market data, design pricing models, and optimize trading strategies. The ideal candidate possesses exceptional analytical skills, a strong quantitative background, and proficiency in programming languages used in financial modeling. This remote position offers the unique opportunity to work from anywhere, collaborating with a world-class team of quants, traders, and technologists. We are committed to fostering a highly collaborative and intellectually stimulating remote environment.
Key Responsibilities:
Job Location: Bungoma, Bungoma, KE (Remote)
Key Responsibilities:
- Develop, test, and implement quantitative models for pricing, risk management, and trading strategies across various asset classes (equities, fixed income, derivatives, FX).
- Analyze large datasets of market and reference data to identify patterns, correlations, and trading opportunities.
- Build and maintain robust, high-performance algorithms for automated trading systems.
- Perform statistical analysis, backtesting, and validation of quantitative models.
- Collaborate closely with traders and portfolio managers to understand their needs and translate them into quantitative solutions.
- Contribute to the development of risk management frameworks and stress testing methodologies.
- Write clean, efficient, and well-documented code in languages such as Python, C++, or Java.
- Stay current with academic research and industry trends in quantitative finance and machine learning.
- Present complex quantitative concepts and findings to both technical and non-technical audiences.
- Ensure compliance with regulatory requirements and internal policies.
- Mentor junior quantitative analysts and contribute to the team's technical growth.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative analysis, trading, or risk management within the financial industry.
- Strong knowledge of financial markets, derivatives pricing, and portfolio theory.
- Proficiency in statistical modeling, time-series analysis, and machine learning techniques.
- Expertise in programming languages such as Python (with libraries like NumPy, Pandas, SciPy) and/or C++.
- Experience with large-scale data analysis and databases.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, capable of effective remote collaboration.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Familiarity with real-time trading systems and data feeds is a plus.
Job Location: Bungoma, Bungoma, KE (Remote)
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0
Senior Quantitative Analyst, Financial Markets
30200 Tuwan
KES600000 Annually
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Posted 3 days ago
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Job Description
Our client, a prestigious financial institution, is seeking an accomplished Senior Quantitative Analyst to join their elite, fully remote trading and risk management team. This role offers the chance to leverage sophisticated mathematical and statistical modeling techniques to drive trading strategies and enhance risk assessment. You will be responsible for developing, implementing, and validating complex quantitative models for pricing, risk management, and portfolio optimization across various financial instruments. The ideal candidate will hold a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering, coupled with a minimum of 5 years of relevant industry experience. Proven expertise in programming languages like Python, R, C++, and experience with financial databases and market data is essential. You must possess a deep understanding of financial markets, derivatives, and stochastic calculus. Key responsibilities include:
Experience with machine learning techniques applied to finance is a strong plus. Excellent problem-solving abilities, strong attention to detail, and exceptional communication skills are required to articulate complex quantitative concepts to both technical and non-technical audiences. This is a highly challenging and rewarding opportunity for a talented quantitative professional. The role is based in Kitale, Trans-Nzoia, KE , but is fully remote.
- Developing, implementing, and backtesting sophisticated quantitative models for trading and risk management.
- Analyzing large datasets to identify market trends and opportunities.
- Pricing complex financial derivatives and instruments.
- Designing and implementing risk management frameworks and methodologies.
- Collaborating with portfolio managers and traders to implement quantitative strategies.
- Producing clear and concise reports on model performance and risk exposures.
- Staying current with the latest advancements in quantitative finance and econometrics.
- Working independently and as part of a high-performing remote team.
- Ensuring the integrity and accuracy of financial models and data.
- Contributing to the continuous improvement of the firm's quantitative infrastructure.
Experience with machine learning techniques applied to finance is a strong plus. Excellent problem-solving abilities, strong attention to detail, and exceptional communication skills are required to articulate complex quantitative concepts to both technical and non-technical audiences. This is a highly challenging and rewarding opportunity for a talented quantitative professional. The role is based in Kitale, Trans-Nzoia, KE , but is fully remote.
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1
Senior Quantitative Analyst - Financial Markets
00210 Makongeni
KES920000 Annually
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Posted 3 days ago
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Job Description
Our client, a prestigious global investment bank, is seeking a highly analytical and detail-oriented Senior Quantitative Analyst to join their remote-first quantitative strategies team. This role is critical in developing and implementing sophisticated mathematical models and algorithms for trading, risk management, and portfolio optimization. You will be responsible for designing, testing, and deploying quantitative models, performing complex data analysis, and collaborating with traders and portfolio managers to drive investment performance. The ideal candidate will possess a strong background in mathematics, statistics, finance, and programming, coupled with a proven ability to tackle complex financial problems. You will work with large datasets, identify patterns, and generate actionable insights to inform trading strategies and risk mitigation. This position requires exceptional problem-solving skills, meticulous attention to detail, and the ability to thrive in a fast-paced, collaborative virtual environment. You will also be responsible for validating models, ensuring their accuracy and robustness, and communicating findings to stakeholders in a clear and concise manner. Responsibilities include:
- Developing, implementing, and maintaining quantitative models for financial markets.
- Designing and executing rigorous backtesting and simulation frameworks.
- Analyzing large and complex datasets to identify trading opportunities and risks.
- Collaborating with traders and portfolio managers to refine strategies.
- Performing statistical analysis and econometric modeling.
- Validating the accuracy and performance of quantitative models.
- Communicating complex quantitative concepts to non-technical stakeholders.
- Staying abreast of the latest research and advancements in quantitative finance.
- Contributing to the development of proprietary trading systems and tools.
- Ensuring compliance with regulatory requirements and firm policies.
- Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or risk management within the financial services industry.
- Strong programming skills in languages like Python, C++, or R.
- Proficiency in statistical modeling, time series analysis, and machine learning techniques.
- Deep understanding of financial markets, derivatives, and portfolio theory.
- Experience with large-scale data analysis and databases.
- Excellent analytical, problem-solving, and critical-thinking abilities.
- Strong communication and presentation skills.
- Ability to work independently and collaboratively in a remote setting.
- Experience with cloud computing platforms (e.g., AWS, Azure) is a plus.
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2
Senior Quantitative Analyst - Financial Markets
80100 Shella
KES400000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a leading financial institution, is seeking a highly skilled Senior Quantitative Analyst to join their sophisticated remote team. This role is integral to developing and implementing complex mathematical models and quantitative strategies for trading, risk management, and investment decisions. You will be at the forefront of financial innovation, leveraging advanced statistical techniques and programming skills to analyze market data, identify trading opportunities, and build robust risk assessment frameworks. The ideal candidate possesses a deep understanding of financial markets, exceptional analytical rigor, and a proven ability to translate complex quantitative concepts into actionable trading strategies and risk management solutions, all within a remote working environment.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and backtest quantitative trading strategies.
- Build and maintain sophisticated mathematical models for pricing, risk management, and portfolio optimization.
- Analyze large datasets of financial market data to identify patterns, trends, and trading signals.
- Collaborate with traders, portfolio managers, and risk managers to provide data-driven insights and recommendations.
- Design and implement robust risk measurement and monitoring systems.
- Develop algorithmic trading systems and infrastructure.
- Conduct research on new quantitative methodologies and technologies.
- Ensure the accuracy, efficiency, and reliability of quantitative models and systems.
- Communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences.
- Stay up-to-date with market developments, regulatory changes, and industry best practices.
- Contribute to the continuous improvement of the quantitative research and development process.
- Mentor junior quantitative analysts and provide technical guidance.
- Implement and maintain code for research and production systems.
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 8 years of experience in quantitative analysis within investment banking, hedge funds, or asset management.
- Proven track record in developing successful quantitative trading strategies and financial models.
- Expert proficiency in programming languages commonly used in quantitative finance, such as Python, C++, R, or MATLAB.
- Deep understanding of financial markets, derivatives, and fixed income products.
- Strong knowledge of statistical modeling, machine learning, and time series analysis.
- Experience with large-scale data analysis and database management.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts effectively.
- Ability to work independently and collaboratively in a high-pressure, fast-paced remote environment.
- Experience with cloud computing platforms (e.g., AWS, Azure) is a plus.
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3
Senior Quantitative Analyst - Financial Markets
00100 Nairobi, Nairobi
KES320000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a prominent institution in the Banking & Finance sector, is seeking a highly skilled Senior Quantitative Analyst to join their sophisticated, fully remote quantitative research team. This role is integral to developing and implementing advanced mathematical and statistical models that drive trading strategies, risk management, and portfolio optimization across various financial markets. You will be responsible for designing, testing, and deploying complex algorithms for pricing derivatives, hedging portfolios, and identifying arbitrage opportunities. Your work will involve rigorous data analysis, backtesting models, and collaborating closely with traders, portfolio managers, and risk officers to translate complex quantitative insights into actionable trading strategies. The ideal candidate will possess a Ph.D. or Master's degree in a highly quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering, with a proven track record of applied quantitative research in finance. Deep expertise in stochastic calculus, time series analysis, machine learning, and numerical methods is essential. Proficiency in programming languages commonly used in quantitative finance, such as Python, C++, or R, is a requirement. Experience with large-scale data analysis and distributed computing frameworks is highly advantageous. We are looking for an intellectually curious, highly analytical individual who thrives on solving complex financial problems and can communicate intricate quantitative concepts clearly and effectively to diverse audiences in a remote setting. This is an exceptional opportunity to work on cutting-edge financial modeling challenges, contribute to significant investment decisions, and advance your career within a leading financial firm that offers a competitive compensation package and the flexibility of remote work.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and backtest quantitative models for trading and risk management.
- Design and price complex financial derivatives.
- Implement algorithms for portfolio optimization and asset allocation.
- Conduct statistical analysis of market data to identify trends and opportunities.
- Collaborate with traders and portfolio managers to refine strategies.
- Ensure the accuracy and robustness of quantitative models.
- Research and apply advanced mathematical and statistical techniques.
- Develop tools and frameworks for quantitative research and analysis.
- Communicate complex quantitative findings to both technical and non-technical stakeholders.
- Stay abreast of market developments and new quantitative methodologies.
- Ph.D. or Master's degree in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- Minimum of 5-7 years of experience in quantitative finance or a related research role.
- Strong knowledge of stochastic calculus, time series analysis, econometrics, and machine learning.
- Proficiency in programming languages such as Python, C++, or R.
- Experience with financial modeling software and data analysis tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills for conveying complex ideas remotely.
- Ability to work independently and as part of a distributed team.
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4
Senior Quantitative Analyst - Financial Markets
80100 Abothuguchi West
KES6500000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client is seeking a highly skilled and analytical Senior Quantitative Analyst to join their dynamic, fully remote financial team. This role is crucial for developing and implementing sophisticated financial models, risk management strategies, and pricing algorithms. You will delve into complex financial data, leveraging advanced mathematical and statistical techniques to drive trading strategies, portfolio optimization, and risk assessment. The ideal candidate possesses a strong academic background, exceptional problem-solving abilities, and a deep understanding of financial markets and quantitative methodologies.
Responsibilities:
Responsibilities:
- Develop, backtest, and implement quantitative trading strategies and risk models.
- Analyze large datasets to identify market trends, patterns, and investment opportunities.
- Build and maintain financial models for pricing complex derivatives and other financial instruments.
- Conduct rigorous statistical analysis and perform simulations to assess model performance and risk.
- Collaborate with portfolio managers and traders to provide quantitative insights and support decision-making.
- Ensure the accuracy and integrity of quantitative models and data.
- Stay current with the latest advancements in quantitative finance, econometrics, and computational methods.
- Contribute to the development of new financial products and risk management frameworks.
- Communicate complex quantitative concepts and findings to both technical and non-technical stakeholders.
- Adhere to regulatory requirements and internal risk policies.
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Computer Science.
- 5+ years of experience in quantitative analysis, financial modeling, or a related role within the financial industry.
- Strong programming skills in languages such as Python, R, C++, or Java, with experience in relevant libraries.
- Expertise in statistical modeling, time series analysis, machine learning, and financial econometrics.
- In-depth knowledge of financial markets, derivatives, fixed income, and portfolio theory.
- Experience with financial data vendors (e.g., Bloomberg, Refinitiv) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage multiple projects in a remote environment.
- Strong communication and presentation skills to effectively convey complex quantitative results.
- Familiarity with regulatory frameworks governing financial markets.
This advertiser has chosen not to accept applicants from your region.
5
Senior Quantitative Analyst - Financial Markets
30100 Tuwan
KES220000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled Senior Quantitative Analyst to join their dynamic, fully remote trading and risk management team. This role is pivotal in developing and implementing sophisticated financial models, trading algorithms, and risk assessment tools. The ideal candidate will possess a strong academic background in a quantitative field (e.g., Finance, Mathematics, Statistics, Physics, Computer Science) and demonstrable experience in financial markets. You will be responsible for researching, designing, testing, and deploying quantitative strategies that drive profitability and manage risk effectively. This position demands exceptional analytical prowess, advanced programming skills, and the ability to thrive in a fast-paced, data-driven remote environment.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and backtest quantitative trading strategies across various asset classes.
- Build and maintain sophisticated financial models for pricing, risk management, and portfolio optimization.
- Conduct in-depth statistical analysis of market data to identify predictive patterns and trading opportunities.
- Develop and implement robust risk management frameworks and tools.
- Write clean, efficient, and production-ready code in languages such as Python, R, C++, or Java.
- Collaborate with portfolio managers, traders, and other quants to refine strategies and enhance performance.
- Monitor market conditions and adapt models and strategies as necessary.
- Stay abreast of the latest research and developments in quantitative finance and machine learning.
- Document methodologies, findings, and implementation details thoroughly.
- Contribute to the overall intellectual capital and innovation within the quantitative team.
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6
Senior Quantitative Analyst - Financial Markets
90100 Gathiruini
KES9000000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a prestigious financial institution, is seeking an exceptional Senior Quantitative Analyst to join their sophisticated trading and risk management division. This is a fully remote position, offering a unique opportunity to leverage your advanced analytical skills from anywhere within Kenya. You will be at the forefront of developing and implementing complex mathematical models, algorithms, and trading strategies for various financial markets. Your responsibilities will include pricing complex derivatives, managing risk exposures, optimizing portfolios, and contributing to the firm's quantitative research efforts. This role demands a rigorous academic background, strong programming abilities, and a deep understanding of financial theory. You will work in a fast-paced, collaborative environment, interacting with traders, portfolio managers, and other quantitative professionals.
Responsibilities:
Qualifications:
This is a premier opportunity for a highly skilled quantitative professional to make a significant impact in the financial industry. If you are driven by innovation and possess exceptional quantitative skills, we encourage you to apply. The role supports our Mlolongo, Machakos, KE operations, allowing remote work.
Responsibilities:
- Develop, test, and deploy sophisticated quantitative models for pricing, hedging, and risk management of financial derivatives and structured products.
- Design and implement algorithmic trading strategies across various asset classes (equities, fixed income, FX, commodities).
- Conduct in-depth research on market dynamics, economic indicators, and investor behavior to identify trading opportunities.
- Analyze large datasets to extract meaningful insights and inform model development and strategy refinement.
- Collaborate with traders and portfolio managers to understand their needs and provide quantitative support.
- Perform stress testing and scenario analysis to assess portfolio risk under adverse market conditions.
- Ensure the accuracy, efficiency, and robustness of quantitative models and trading systems.
- Contribute to the firm's quantitative research initiatives and stay abreast of the latest developments in financial engineering and econometrics.
- Maintain clear and concise documentation of all models, strategies, and analyses.
- Mentor junior quantitative analysts and share knowledge within the team.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, Computer Science, or Economics.
- Minimum of 6 years of relevant experience in quantitative analysis, financial modeling, or algorithmic trading.
- Strong proficiency in programming languages such as Python, C++, R, or Java.
- Deep understanding of financial markets, derivatives pricing, and risk management principles.
- Experience with statistical modeling, time series analysis, machine learning, and data science techniques.
- Familiarity with financial databases (e.g., Bloomberg, Refinitiv) and data manipulation tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex quantitative concepts to non-technical audiences.
- Ability to work independently and collaboratively in a challenging, fast-paced remote environment.
- Experience in a quantitative trading desk or hedge fund setting is highly preferred.
This is a premier opportunity for a highly skilled quantitative professional to make a significant impact in the financial industry. If you are driven by innovation and possess exceptional quantitative skills, we encourage you to apply. The role supports our Mlolongo, Machakos, KE operations, allowing remote work.
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7
Principal Quantitative Analyst - Financial Markets
30100 Tuwan
KES950000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a prestigious financial institution with a global reach, is seeking a Principal Quantitative Analyst to join their highly skilled and remote-first quantitative strategies team. This position offers the flexibility to work from any location, contributing to sophisticated financial modeling and analysis. The ideal candidate will possess a Ph.D. or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, or Financial Engineering, coupled with extensive experience in developing and implementing quantitative models for financial markets. You will be responsible for designing, building, and validating complex pricing, hedging, and risk management models for derivatives and other financial instruments. Key responsibilities include conducting in-depth research, performing statistical analysis, developing algorithmic trading strategies, and contributing to the firm's investment strategies. Proficiency in programming languages like Python, C++, R, and experience with financial libraries and databases are mandatory. A strong understanding of financial theory, market microstructure, and econometrics is essential. You will collaborate closely with traders, portfolio managers, and risk management teams, providing critical quantitative insights. This role requires exceptional problem-solving abilities, rigorous analytical thinking, and the capacity to communicate complex quantitative concepts clearly and effectively to diverse audiences. This is an exceptional opportunity for a motivated quantitative professional to advance their career in a challenging and rewarding remote environment. The general area of operation for this role is **Eldoret, Uasin Gishu, KE**, however, the position is 100% remote.
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8
Senior Quantitative Analyst - Financial Markets
30500 Tuwan
KES320000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client, a prestigious international financial institution, is seeking a highly analytical and technically adept Senior Quantitative Analyst to join their elite, fully remote quantitative research team. This role is instrumental in developing and implementing sophisticated mathematical models and algorithms for trading strategies, risk management, and portfolio optimization. The ideal candidate will possess a profound understanding of financial markets, advanced statistical techniques, and strong programming skills. This is an exceptional opportunity to contribute to cutting-edge financial innovation from anywhere in the world.
Responsibilities:
Responsibilities:
- Develop, test, and implement quantitative models for pricing derivatives, assessing risk, and generating trading signals.
- Conduct rigorous statistical analysis of large datasets to identify market patterns and opportunities.
- Design and implement algorithms for high-frequency trading and algorithmic execution.
- Build and maintain risk management frameworks and perform stress testing on portfolios.
- Collaborate with traders, portfolio managers, and developers to translate research ideas into production systems.
- Analyze market microstructure and optimize trading strategies based on transaction cost analysis.
- Ensure the accuracy and reliability of quantitative models through backtesting and validation.
- Stay abreast of the latest academic research and industry developments in quantitative finance.
- Document research methodologies, model specifications, and implementation details thoroughly.
- Contribute to the development of best practices in quantitative research and development.
- Communicate complex quantitative concepts clearly to both technical and non-technical audiences.
- Mentor junior quantitative analysts and provide technical guidance.
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 6 years of experience in quantitative analysis or related roles within the financial services industry.
- Proven expertise in statistical modeling, time series analysis, and machine learning techniques.
- Strong programming skills in languages such as Python, C++, R, or Java.
- Deep understanding of financial markets, instruments, and trading strategies.
- Experience with large-scale data analysis and database technologies (SQL, NoSQL).
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and collaboration skills, essential for a remote team environment.
- Ability to work independently and manage complex research projects.
- Experience with derivative pricing models and risk management techniques.
- Familiarity with cloud computing platforms is a plus.
This advertiser has chosen not to accept applicants from your region.
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