1,023 Senior Quantitative Analyst Banking Finance jobs in Kenya
Lead Quantitative Analyst - Banking & Finance
Posted 20 days ago
Job Viewed
Job Description
Our client, a prestigious international financial institution, is looking for a highly skilled and motivated Lead Quantitative Analyst to join their expanding, fully remote team. This role is crucial for developing and implementing sophisticated financial models, risk management frameworks, and pricing strategies. You will leverage advanced statistical techniques, machine learning algorithms, and programming expertise to drive innovation and provide strategic insights to key stakeholders. The ideal candidate will have a strong background in financial markets, a deep understanding of derivatives, and a proven ability to translate complex data into actionable recommendations. You will be responsible for designing, testing, and deploying quantitative models for areas such as credit risk, market risk, and algorithmic trading. This is a remote-first position, offering flexibility while working with a global team of finance professionals. The successful candidate will play a key role in enhancing our client's competitive edge through rigorous analytical research and model validation. You will also mentor junior analysts, contribute to the development of best practices, and ensure compliance with regulatory requirements. The ability to communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences is essential. This role demands a proactive approach, a meticulous attention to detail, and a passion for solving challenging financial problems. You will work with cutting-edge technologies and large datasets, requiring strong programming skills in languages such as Python, R, or C++. The opportunity to shape financial strategies and drive business growth from a remote location makes this an exceptional career opportunity. We are seeking an individual who is intellectually curious, self-driven, and capable of independent work, while also excelling in collaborative virtual environments. Your contributions will directly impact the firm's risk management and profitability, making this a high-impact position. Join us in revolutionizing financial analytics with a remote-first approach.
Responsibilities:
Responsibilities:
- Develop, implement, and validate sophisticated quantitative models for financial risk management, pricing, and trading strategies.
- Conduct in-depth statistical analysis and build predictive models using advanced techniques and machine learning.
- Collaborate with trading desks, risk management, and business units to understand their needs and deliver quantitative solutions.
- Design and perform back-testing and stress-testing of financial models.
- Communicate complex analytical findings and model behavior to stakeholders through clear reports and presentations.
- Ensure model compliance with regulatory standards and internal policies.
- Mentor and guide junior quantitative analysts.
- Stay abreast of the latest developments in quantitative finance, data science, and financial markets.
- Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science.
- 5+ years of experience in quantitative finance, financial modeling, or risk management.
- Proven expertise in financial instruments, derivatives pricing, and risk management techniques.
- Strong programming skills in Python, R, C++, or similar languages.
- Experience with machine learning algorithms and statistical modeling software.
- Excellent analytical, problem-solving, and communication abilities.
- Ability to work independently and manage projects effectively in a remote setting.
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Senior Quantitative Analyst (Banking & Finance)
Posted 3 days ago
Job Viewed
Job Description
Our client, a prominent financial institution, is seeking an exceptional Senior Quantitative Analyst to join their sophisticated risk management team. This is a fully remote position requiring a deep understanding of financial markets, complex modeling techniques, and advanced statistical analysis. You will be instrumental in developing, validating, and implementing quantitative models used for pricing, risk assessment, and trading strategies. The role demands a highly analytical individual capable of translating complex mathematical concepts into actionable insights for business stakeholders. You will work with large datasets, cutting-edge software, and collaborate with traders, portfolio managers, and risk officers. Your expertise will be critical in navigating the complexities of modern financial markets and ensuring the firm's competitive edge.
Responsibilities:
Responsibilities:
- Develop, test, and deploy sophisticated quantitative models for pricing derivatives, valuing complex financial instruments, and managing market risk.
- Perform rigorous statistical analysis on large datasets to identify market trends, predict asset behavior, and inform trading strategies.
- Validate existing models and methodologies to ensure accuracy, robustness, and compliance with regulatory requirements.
- Collaborate with front-office teams (traders, portfolio managers) to understand their needs and provide quantitative solutions.
- Work closely with risk management and compliance departments to ensure models meet regulatory standards (e.g., Basel, Dodd-Frank).
- Develop and maintain high-quality code in languages such as Python, R, or C++ for model implementation and data analysis.
- Communicate complex quantitative concepts and findings clearly to both technical and non-technical audiences.
- Contribute to the firm's research and development efforts in quantitative finance.
- Stay abreast of the latest academic research and industry best practices in quantitative finance.
- Mentor junior quantitative analysts and contribute to the growth of the team's technical capabilities.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Physics, Statistics, or Computer Science.
- A minimum of 6 years of experience in quantitative finance, with a strong focus on model development and implementation.
- Expertise in at least one major programming language (e.g., Python, R, C++) and familiarity with data manipulation libraries.
- Deep understanding of stochastic calculus, time series analysis, and statistical modeling techniques.
- Experience with financial derivatives pricing, risk management, and portfolio optimization.
- Proven ability to work independently and as part of a remote team, managing multiple projects simultaneously.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex concepts effectively.
- Familiarity with regulatory frameworks governing financial institutions.
- Experience with machine learning techniques applied to finance is a plus.
This advertiser has chosen not to accept applicants from your region.
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Lead Quantitative Analyst - Banking & Finance (Remote)
Posted 2 days ago
Job Viewed
Job Description
Our client, a prestigious global financial institution, is seeking an accomplished Lead Quantitative Analyst to enhance their risk management and trading strategies. This is a fully remote position, allowing you to apply your advanced analytical skills from anywhere. The Lead Quantitative Analyst will be responsible for developing, implementing, and validating complex mathematical models used for pricing financial instruments, risk assessment, and algorithmic trading. Your role will involve conducting in-depth statistical analysis, back-testing trading strategies, and optimizing portfolio performance. You will work closely with traders, portfolio managers, and risk officers to provide quantitative insights and support data-driven decision-making. Key responsibilities include identifying and exploring new quantitative methodologies, ensuring model robustness, and communicating complex findings clearly to both technical and non-technical stakeholders in a virtual setting. The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Financial Mathematics, Statistics, Physics, or Computer Science. A minimum of 6-8 years of experience in quantitative analysis within the banking or financial services industry is required, with a strong emphasis on derivatives pricing, risk modeling, or algorithmic trading. Proficiency in programming languages such as Python, C++, or R, and extensive experience with financial libraries and databases are essential. Deep understanding of financial markets, regulatory requirements, and statistical modeling techniques is paramount. Excellent problem-solving abilities, strong communication skills, and the capacity to work independently and lead projects in a remote environment are critical. We are looking for an innovative and detail-oriented professional who can drive quantitative excellence for our client. This is a significant opportunity to contribute to cutting-edge financial analytics from a remote location within Kenya.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Banking & Finance - Remote
Posted 20 days ago
Job Viewed
Job Description
Our client, a prestigious financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst. This is a fully remote position, allowing you to contribute your expertise from any location. The ideal candidate will possess a deep understanding of financial markets, advanced statistical modeling techniques, and programming proficiency. You will be responsible for developing and implementing sophisticated quantitative models for risk management, pricing, trading strategies, and portfolio optimization. This role requires a rigorous, data-driven approach to solve complex financial challenges and drive business value.
Responsibilities:
Responsibilities:
- Develop, validate, and implement quantitative models for pricing derivatives, risk management (market risk, credit risk), and asset allocation.
- Conduct empirical research and statistical analysis of financial markets to identify trading opportunities and inform risk mitigation strategies.
- Build and maintain high-quality code in languages such as Python, R, C++, or MATLAB for model implementation and back-testing.
- Collaborate with traders, portfolio managers, and risk managers to understand business needs and translate them into quantitative solutions.
- Perform stress testing and scenario analysis on existing models to assess their robustness under various market conditions.
- Document model methodologies, assumptions, and limitations clearly and comprehensively.
- Stay abreast of the latest developments in quantitative finance, econometrics, and computational methods.
- Mentor junior quantitative analysts and provide technical guidance.
- Ensure compliance with regulatory requirements and internal risk policies.
- Present complex quantitative findings and model recommendations to senior management and stakeholders.
- Master's degree or PhD in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
- Minimum of 7 years of experience in quantitative analysis within the banking or financial services industry.
- Expertise in statistical modeling, time series analysis, machine learning, and stochastic calculus.
- Proficiency in programming languages commonly used in quantitative finance (e.g., Python, R, C++).
- Strong understanding of financial instruments, markets, and regulatory landscapes.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences.
- Demonstrated ability to work independently and manage multiple projects effectively in a remote setting.
- Experience relevant to the **Kericho, Kericho, KE** financial ecosystem is a plus.
This advertiser has chosen not to accept applicants from your region.
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Remote Senior Quantitative Analyst - Banking & Finance
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Remote Senior Quantitative Analyst to join their esteemed financial services team. This fully remote position requires a deep understanding of financial markets, advanced statistical modeling, and sophisticated programming skills. You will be responsible for developing and implementing complex quantitative models for pricing, risk management, and trading strategies across various asset classes. The ideal candidate possesses a strong academic background in a quantitative field, extensive experience in the banking and finance industry, and proficiency in programming languages such as Python, R, C++, or MATLAB. You should be adept at data analysis, model validation, and interpreting complex financial data to provide actionable insights. This role involves collaborating closely with traders, portfolio managers, and risk officers to support strategic decision-making and enhance profitability. A key aspect of this position is staying abreast of market trends, regulatory changes, and advancements in quantitative finance methodologies. This is an exceptional opportunity for a seasoned quant professional to contribute significantly to a leading financial institution from a remote setting. You will have the autonomy to drive innovation in financial modeling and the responsibility to ensure the integrity and effectiveness of our quantitative frameworks. The ability to mentor junior analysts and lead complex research projects is highly valued. We are looking for an individual who is passionate about financial markets, possesses exceptional problem-solving skills, and can translate complex mathematical concepts into practical financial applications. Experience with machine learning techniques applied to finance, derivatives pricing, or algorithmic trading would be a significant asset. You will be instrumental in shaping our client's quantitative strategies and driving competitive advantage in the financial landscape.
Responsibilities:
Responsibilities:
- Develop, test, and implement sophisticated quantitative models for financial markets.
- Design and build models for asset pricing, risk management, and trading strategies.
- Analyze large datasets to identify market trends, patterns, and opportunities.
- Perform rigorous model validation and back-testing to ensure accuracy and reliability.
- Collaborate with business stakeholders to understand their needs and provide quantitative solutions.
- Communicate complex quantitative findings and recommendations clearly to non-technical audiences.
- Stay current with advancements in quantitative finance, econometrics, and machine learning.
- Contribute to the development of trading algorithms and execution strategies.
- Ensure compliance with regulatory requirements related to financial modeling.
- Mentor and guide junior quantitative analysts.
- Document methodologies, assumptions, and results thoroughly.
- Research and evaluate new data sources and analytical techniques.
- Master's degree or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 5-7 years of experience in quantitative analysis within the banking and finance sector.
- Expertise in financial modeling, statistical analysis, and econometrics.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong understanding of financial markets, derivatives, and risk management principles.
- Experience with machine learning techniques applied to finance is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage multiple projects effectively in a remote environment.
- Strong written and verbal communication skills.
- Familiarity with financial databases (e.g., Bloomberg, Refinitiv) is a plus.
This advertiser has chosen not to accept applicants from your region.
4
Senior Remote Quantitative Analyst (Banking & Finance)
Posted 19 days ago
Job Viewed
Job Description
Our client is looking for a highly skilled and motivated Senior Remote Quantitative Analyst to join their expanding Banking & Finance division. This is a fully remote role requiring a deep understanding of financial markets, advanced statistical modeling, and programming expertise. You will be responsible for developing and implementing sophisticated quantitative models to support trading strategies, risk management, and portfolio optimization. Key responsibilities include designing, testing, and deploying complex algorithms, analyzing large datasets to identify market trends and opportunities, and collaborating closely with portfolio managers and traders to translate analytical insights into actionable strategies. The ideal candidate possesses a strong academic background in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science, Economics) and significant professional experience in quantitative finance. Proficiency in programming languages such as Python, R, or C++, along with experience in machine learning techniques, is essential. You must have excellent problem-solving skills, meticulous attention to detail, and the ability to communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences. This role demands creativity, intellectual curiosity, and a passion for leveraging data to drive financial innovation. You will be instrumental in shaping the firm's quantitative capabilities and contributing to its success in a challenging and dynamic market. This remote position allows you to contribute your expertise to the financial sector, with a focus on strategies relevant to regions like **Garissa, Garissa, KE**, while working from your chosen location.
This advertiser has chosen not to accept applicants from your region.
5
Lead Quantitative Analyst - Investment Banking
Posted 4 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.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Investment Banking
Posted 20 days ago
Job Viewed
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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Lead Quantitative Analyst - Investment Banking (Remote)
Posted 5 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.
This advertiser has chosen not to accept applicants from your region.
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Remote Lead Quantitative Analyst, Investment Banking
Posted 17 days ago
Job Viewed
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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