1,037 Senior Quantitative Analyst Banking Finance Remote jobs in Kenya
Lead Quantitative Analyst - Investment Banking (Remote)
Posted 5 days ago
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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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Senior Quantitative Analyst - Investment Banking (Remote)
Posted 20 days ago
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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.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Banking (Remote)
Posted 9 days ago
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Job Description
Our client, a leading financial institution, is seeking a highly analytical and results-oriented Senior Quantitative Analyst to join their remote-first team. This role is critical in developing and implementing sophisticated financial models, risk management frameworks, and trading strategies. You will leverage your expertise in statistical modeling, machine learning, and programming to drive data-informed decisions across various banking operations. Responsibilities include conducting in-depth quantitative research, building predictive models for market movements, credit risk assessment, and portfolio optimization. The ideal candidate will possess a strong mathematical background, coupled with extensive experience in financial markets and instruments. Proficiency in programming languages such as Python, R, or C++, along with experience in relevant quantitative libraries and tools, is essential. You will work closely with portfolio managers, traders, and risk officers, providing analytical support and strategic insights. The ability to translate complex quantitative concepts into clear, actionable recommendations for business stakeholders is crucial. We are looking for an individual who is meticulous, possesses exceptional problem-solving skills, and can work independently in a challenging, fast-paced environment. This position, while conceptually located in **Mlolongo, Machakos, KE**, operates entirely remotely, offering a unique blend of intellectual rigor and flexible work arrangements. Your contributions will significantly impact the firm's profitability, risk management, and competitive edge in the global financial landscape. If you are a driven quant with a passion for innovation in finance, this is an unparalleled opportunity.
This advertiser has chosen not to accept applicants from your region.
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Lead Quantitative Analyst - Banking & Finance (Remote)
Posted 3 days ago
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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
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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 Quantitative Analyst - Investment Banking
Posted today
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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.
This advertiser has chosen not to accept applicants from your region.
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Senior Quantitative Analyst - Remote Investment Banking
Posted 18 days ago
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Job Description
Our client, a prestigious global investment bank, is seeking a highly skilled and analytical Senior Quantitative Analyst to join their cutting-edge, fully remote financial modeling team. This is a critical role requiring a deep understanding of financial markets, complex financial instruments, and sophisticated mathematical modeling techniques. You will be responsible for developing, implementing, and validating pricing and risk models for a wide range of financial products. The successful candidate will possess exceptional quantitative abilities, proficiency in programming languages commonly used in finance, and a strong grasp of statistical and computational methods. This remote position offers the chance to work on challenging projects with a high degree of autonomy and contribute to significant strategic decisions within the firm.
Responsibilities:
Responsibilities:
- Develop, implement, and maintain quantitative models for pricing, hedging, and risk management of various financial derivatives and instruments.
- Conduct rigorous statistical analysis and back-testing of models to ensure accuracy and reliability.
- Collaborate with traders, risk managers, and front-office teams to understand their needs and translate them into quantitative solutions.
- Design and build tools for data analysis, model validation, and performance monitoring within a remote environment.
- Stay current with the latest advancements in financial engineering, econometrics, and quantitative finance.
- Contribute to the development of new trading strategies and investment products by providing quantitative insights.
- Communicate complex quantitative concepts and model results clearly to both technical and non-technical audiences.
- Ensure compliance with regulatory requirements and internal risk policies in all modeling activities.
- Participate in code reviews and contribute to the improvement of the team's software infrastructure.
- Provide mentorship and technical guidance to junior quantitative analysts.
- Perform ad-hoc quantitative research and analysis as required by senior management.
- Master's degree or PhD in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Minimum of 5 years of relevant experience in quantitative finance, preferably within investment banking or asset management.
- Strong knowledge of financial markets, derivatives, and fixed income products.
- Proficiency in programming languages such as Python, C++, R, or Java, with a focus on numerical computation and data analysis libraries.
- Expertise in statistical modeling, time series analysis, stochastic calculus, and machine learning techniques.
- Excellent problem-solving and analytical skills.
- Strong communication skills, enabling effective remote collaboration and presentation of findings.
- Ability to work independently and manage multiple projects simultaneously in a remote setting.
- Familiarity with financial databases (e.g., Bloomberg, Refinitiv) is a plus.
- Experience with high-performance computing and parallel processing is advantageous.
This advertiser has chosen not to accept applicants from your region.
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6
Remote Lead Quantitative Analyst, Investment Banking
Posted 18 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.
This advertiser has chosen not to accept applicants from your region.
7
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.
8
Remote Senior Quantitative Analyst - Investment Banking
Posted 20 days ago
Job Viewed
Job Description
Our client, a prominent financial institution, is seeking an exceptional Remote Senior Quantitative Analyst to join their Investment Banking division. This is a fully remote position, demanding advanced analytical, modeling, and programming skills. You will be responsible for developing and implementing sophisticated financial models, performing complex data analysis, and contributing to critical trading and risk management strategies. The ideal candidate possesses a strong academic background in a quantitative field, extensive experience in financial markets, and a proven ability to work independently and collaboratively in a virtual setting.
Key Responsibilities:
Key Responsibilities:
- Develop, test, and implement quantitative models for pricing, risk management, and trading strategies across various asset classes.
- Analyze large datasets to identify market trends, trading opportunities, and potential risks.
- Build and maintain high-performance computing infrastructure for quantitative research and analysis.
- Collaborate with traders, portfolio managers, and risk managers to understand their needs and provide data-driven insights.
- Develop and automate reporting tools and dashboards for performance monitoring and risk assessment.
- Conduct backtesting and validation of quantitative models to ensure accuracy and robustness.
- Research and evaluate new quantitative techniques and technologies to enhance analytical capabilities.
- Contribute to the development of proprietary trading algorithms and strategies.
- Ensure compliance with regulatory requirements and internal policies related to financial modeling and risk.
- Prepare detailed documentation for models, methodologies, and results.
- Present complex quantitative findings to both technical and non-technical audiences.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- 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 as a Quantitative Analyst or in a similar role within investment banking, hedge funds, or asset management.
- Expert proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, R, MATLAB).
- Strong understanding of financial markets, derivatives, and portfolio theory.
- Experience with statistical modeling, machine learning, and time-series analysis.
- Proficiency in database management and querying (SQL).
- Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Proven ability to work independently and manage multiple projects in a remote environment.
- Experience with risk management frameworks and regulatory compliance.
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