751 Senior Quantitative Analyst Investment Banking jobs in Kenya
Lead Quantitative Analyst - Investment Banking
Posted 5 days ago
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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 - Investment Banking
Posted 20 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 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.
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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.
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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.
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Senior Quantitative Analyst - Investment Banking (Remote)
Posted 20 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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Remote Senior Quantitative Analyst - Investment Banking
Posted 20 days ago
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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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6
Lead Quantitative Analyst - Banking & Finance
Posted 20 days ago
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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.
This advertiser has chosen not to accept applicants from your region.
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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.
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8
Senior Quantitative Analyst (Finance)
Posted 20 days ago
Job Viewed
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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