195 Quantitative Analyst jobs in Kenya
Senior Quantitative Analyst - Financial Markets
Posted 1 day ago
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Senior Quantitative Analyst - Financial Markets
Posted 1 day ago
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Key responsibilities include:
- Developing, backtesting, and implementing quantitative trading models and strategies.
- Designing and optimizing portfolio construction and risk management models.
- Analyzing large and complex financial datasets to identify market patterns and opportunities.
- Building and maintaining high-frequency data processing systems.
- Collaborating with traders and portfolio managers to translate business needs into quantitative solutions.
- Performing statistical analysis and econometric modeling of market behavior.
- Researching and evaluating new quantitative methodologies and technologies.
- Producing clear and concise reports and presentations on model performance and market insights.
- Ensuring the accuracy and integrity of quantitative models and data.
- Mentoring junior quantitative analysts and contributing to team knowledge sharing.
Senior Quantitative Analyst - Financial Markets (Remote)
Posted 4 days ago
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The successful candidate will be responsible for designing, implementing, and validating quantitative models for pricing complex derivatives, forecasting market movements, and assessing risk exposures. You will work closely with portfolio managers, traders, and risk officers to translate business needs into quantitative solutions. Key responsibilities include performing rigorous statistical analysis, backtesting trading strategies, and developing algorithms for automated trading systems. A deep understanding of stochastic calculus, time series analysis, econometrics, and financial engineering principles is essential.
This role demands a high degree of technical proficiency, including advanced programming skills in languages such as Python, R, or C++. You will be expected to stay abreast of the latest research in quantitative finance and apply innovative techniques to solve complex financial problems. Collaboration with other quantitative teams and IT departments to integrate models into production systems will also be a significant aspect of the role. The Senior Quantitative Analyst will mentor junior analysts, contribute to the firm's intellectual capital, and present complex findings to senior management and stakeholders. The ideal candidate is a highly analytical, intellectually curious, and results-oriented professional who thrives in a fully remote, fast-paced, and intellectually stimulating environment, contributing to insights relevant to markets affecting regions like **Nyeri, Nyeri, KE**, and global financial centers.
Qualifications:
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related discipline.
- Minimum of 7 years of experience in quantitative finance, with a strong focus on financial markets, derivatives, and risk modeling.
- Expertise in mathematical modeling, statistical analysis, and time series forecasting.
- Proficiency in programming languages such as Python, R, C++, or similar for quantitative analysis.
- Solid understanding of financial instruments, market microstructure, and regulatory requirements.
- Experience with machine learning techniques applied to finance is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, capable of explaining complex concepts to diverse audiences.
- Proven ability to work independently and lead quantitative projects in a remote setting.
This is an exceptional opportunity for a seasoned quantitative professional to make a significant impact in the financial markets through sophisticated modeling and analysis in a challenging and rewarding fully remote role.
Senior Quantitative Analyst
Posted today
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Responsibilities:
- Design, build, and validate quantitative models for pricing, risk management, and trading strategies.
- Conduct in-depth statistical analysis of large datasets to identify trends, patterns, and correlations.
- Develop and implement algorithms for financial forecasting and predictive modeling.
- Collaborate with cross-functional teams, including traders, portfolio managers, and risk officers, to translate business needs into analytical solutions.
- Perform rigorous backtesting and scenario analysis of model performance.
- Monitor and assess the impact of market changes and economic events on financial portfolios.
- Develop and maintain documentation for all models, methodologies, and analytical processes.
- Stay current with the latest advancements in financial engineering, econometrics, and computational finance.
- Communicate complex quantitative findings clearly and concisely to both technical and non-technical audiences.
- Mentor junior analysts and contribute to the team's knowledge sharing and professional development.
- Ensure adherence to regulatory requirements and internal risk policies.
- Propose innovative solutions and improvements to existing analytical frameworks.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, Computer Science, or Financial Engineering.
- Minimum of 5-7 years of experience in quantitative finance, with a strong focus on model development and validation.
- Expertise in statistical modeling, time series analysis, machine learning, and stochastic calculus.
- Proficiency in programming languages such as Python (with libraries like NumPy, Pandas, SciPy, scikit-learn), R, or C++.
- Experience with financial databases (e.g., Bloomberg, Refinitiv) and data manipulation tools.
- Strong understanding of financial markets, derivatives, and risk management principles.
- Excellent problem-solving skills and the ability to work independently in a remote environment.
- Superior analytical and quantitative abilities, with meticulous attention to detail.
- Proven ability to communicate complex technical concepts effectively.
- Experience with high-frequency trading strategies or algorithmic trading is a plus.
- Knowledge of regulatory frameworks like Basel III or Dodd-Frank is advantageous.
Lead Quantitative Analyst
Posted today
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Remote Quantitative Analyst
Posted today
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Senior Quantitative Analyst
Posted 1 day ago
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Job Description
- Developing and validating quantitative models for pricing, hedging, and risk management.
- Analyzing large datasets to identify market trends and trading opportunities.
- Implementing models in production environments using high-level programming languages.
- Collaborating with business stakeholders to understand their needs and translate them into quantitative solutions.
- Monitoring model performance and conducting regular reviews and recalibrations.
- Staying current with the latest research in quantitative finance and machine learning.
- Contributing to the development of automated trading strategies.
- Performing ad-hoc quantitative analysis as required by trading desks and risk management.
- Ensuring compliance with regulatory requirements and internal policies.
- Communicating complex quantitative concepts to non-technical audiences.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, or Computer Science.
- Minimum of 7 years of relevant experience in quantitative finance, ideally within investment banking or hedge funds.
- Strong programming skills in Python, R, C++, or similar languages.
- Expertise in stochastic calculus, time series analysis, and statistical modeling.
- Experience with machine learning techniques and their application in finance.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Proven ability to work independently and manage multiple priorities in a remote setting.
- Strong communication and interpersonal skills.
- Familiarity with financial markets and derivatives pricing.
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Senior Quantitative Analyst
Posted 1 day ago
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Job Description
Key Responsibilities:
- Develop, test, and implement quantitative models for pricing, risk management, and trading strategies across various asset classes.
- Perform rigorous statistical analysis on large datasets to identify market trends, patterns, and trading opportunities.
- Collaborate with traders, portfolio managers, and risk officers to understand their analytical needs and provide data-driven insights.
- Contribute to the design and development of new financial products and derivative instruments.
- Automate data extraction, analysis, and reporting processes using programming languages such as Python or R.
- Conduct back-testing and validation of models to ensure their accuracy and effectiveness.
- Research and evaluate new quantitative techniques and technologies.
- Prepare comprehensive reports and presentations to communicate complex analytical findings to senior management and other stakeholders.
- Ensure compliance with regulatory requirements and internal risk policies.
- Mentor junior quantitative analysts and contribute to the team's technical growth.
Qualifications:
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of relevant experience in quantitative analysis within the financial services industry.
- Strong proficiency in programming languages like Python, R, C++, or Java.
- Advanced knowledge of statistical modeling, time series analysis, and machine learning techniques.
- Solid understanding of financial markets, derivatives, and portfolio theory.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.
- Experience with SQL and database management.
- Ability to work effectively in a hybrid environment, balancing remote and in-office collaboration.
- Proven ability to manage projects and deliver results under pressure.
Senior Quantitative Analyst
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Develop, test, and implement complex quantitative models for pricing, risk management, and trading strategies.
- Perform in-depth statistical analysis of market data to identify trends, patterns, and investment opportunities.
- Design and conduct back-testing and scenario analysis for financial models and strategies.
- Collaborate with portfolio managers, traders, and risk officers to provide quantitative support and insights.
- Develop and maintain tools and dashboards for data analysis, model monitoring, and reporting.
- Stay current with the latest research in quantitative finance, machine learning, and data science.
- Ensure models are compliant with regulatory requirements and internal policies.
- Communicate complex quantitative concepts and results clearly to both technical and non-technical stakeholders.
- Contribute to the development of new financial products and hedging strategies.
- Optimize and refine existing models for improved accuracy and efficiency.
- Mentor junior quantitative analysts and contribute to the team's knowledge base.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 6 years of experience in quantitative analysis within the financial services industry.
- Strong proficiency in programming languages such as Python, R, C++, or Java.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Deep understanding of financial markets, derivatives, and risk management principles.
- Experience 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 concepts concisely.
- Experience working independently and collaboratively in a remote setting.
- Familiarity with financial regulations and compliance requirements.
Senior Quantitative Analyst
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Develop, validate, and implement quantitative models for pricing, risk management, trading, and portfolio optimization.
- Conduct in-depth statistical analysis and research on market data to identify trends and opportunities.
- Design and implement trading algorithms and strategies, backtesting their performance.
- Collaborate with traders, portfolio managers, and risk managers to understand their needs and translate them into quantitative solutions.
- Develop and maintain sophisticated data analysis tools and platforms.
- Communicate complex quantitative concepts and findings clearly to both technical and non-technical stakeholders.
- Stay abreast of the latest advancements in quantitative finance, econometrics, and machine learning.
- Ensure compliance with regulatory requirements and internal risk management policies.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Perform ad-hoc quantitative analysis to support business initiatives.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science.
- 5+ years of experience in quantitative analysis, financial modeling, or related roles within the financial industry.
- Strong expertise in statistical modeling, time series analysis, and econometrics.
- Proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or Java.
- Experience with financial databases and market data platforms.
- In-depth understanding of financial markets, instruments, and trading strategies.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey complex ideas effectively.
- Ability to work independently and manage multiple projects in a remote setting.
- Experience with machine learning techniques applied to finance is a significant advantage.
This position is technically based in Machakos, Machakos, KE , but is a fully remote role.