710 Financial Modeling jobs in Kenya
Senior Investment Analyst - Financial Modeling
Posted today
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Key Responsibilities:
- Conduct in-depth financial analysis of companies, industries, and macroeconomic trends.
- Develop, maintain, and enhance complex financial models for valuation, forecasting, and scenario analysis.
- Prepare detailed investment research reports and present findings and recommendations to senior management.
- Evaluate potential investment opportunities across various asset classes.
- Monitor and analyze portfolio performance, identifying drivers of returns and risks.
- Support due diligence processes for potential investments.
- Collaborate with portfolio managers and trading teams to execute investment strategies.
- Stay current with market developments, regulatory changes, and financial innovations.
- Assist in the preparation of financial statements and regulatory filings.
- Contribute to the development of investment strategies and processes.
- Bachelor's or Master's degree in Finance, Economics, Accounting, or a related quantitative field.
- CFA designation or progress towards it is highly desirable.
- Minimum of 5-7 years of experience in investment analysis, financial modeling, or a related role within the financial services industry.
- Proven expertise in financial modeling, valuation techniques, and data analysis.
- Proficiency in Microsoft Excel, financial databases (e.g., Bloomberg, Refinitiv Eikon), and statistical software.
- Strong understanding of capital markets, corporate finance, and investment principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills for clear presentation of financial information.
- Ability to work independently and manage multiple projects effectively in a remote setting.
- High level of integrity and attention to detail.
Senior Quantitative Analyst - Financial Modeling
Posted 2 days ago
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Job Description
Key responsibilities include developing and validating pricing models for various financial instruments, such as derivatives and fixed-income securities. You will design and implement risk management models to measure and monitor market risk, credit risk, and operational risk. The Senior Quantitative Analyst will also develop algorithmic trading strategies and backtesting frameworks. This involves significant programming in languages like Python, R, C++, or Java, and utilizing libraries for data analysis and scientific computing. You will work closely with traders, portfolio managers, and risk managers to understand their needs and provide quantitative insights. Thorough documentation of models, methodologies, and results is essential. The role also includes conducting research into new quantitative techniques and exploring their application to financial problems. Performing sensitivity analyses and stress tests on models to assess their robustness is critical. The ability to communicate complex technical information clearly and concisely to both technical and non-technical audiences is paramount. This remote position demands a high degree of autonomy, strong problem-solving skills, and a commitment to excellence in quantitative finance.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 5 years of experience in quantitative finance or a related analytical role.
- Proven experience in developing and implementing quantitative models for financial markets.
- Strong proficiency in programming languages commonly used in quantitative finance (e.g., Python, C++, R, Java).
- Expertise in financial derivatives pricing, risk management, and portfolio optimization.
- Solid understanding of statistical modeling, machine learning, and econometrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Experience with large datasets and database technologies.
- Ability to work independently and manage projects effectively in a remote environment.
Senior Quantitative Analyst - Financial Modeling
Posted 4 days ago
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Job Description
Responsibilities:
- Develop, implement, and validate quantitative models for financial risk management, pricing, and valuation.
- Design and build models for various financial instruments, including equities, fixed income, derivatives, and structured products.
- Perform statistical analysis, back-testing, and scenario analysis on model performance.
- Collaborate with business units to understand their modeling needs and translate them into technical specifications.
- Write high-quality, efficient, and maintainable code in programming languages such as Python, R, or C++.
- Ensure models comply with regulatory requirements and internal policies.
- Communicate complex quantitative concepts and model results to stakeholders effectively.
- Monitor model performance and implement necessary updates or calibrations.
- Contribute to research and development of new quantitative methodologies.
- Provide technical guidance and mentorship to junior analysts.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 5 years of experience in quantitative finance, financial modeling, or a related role.
- Expertise in statistical modeling, time series analysis, and numerical methods.
- Proficiency in programming languages commonly used in quantitative finance (e.g., Python, R, C++).
- Strong understanding of financial markets, instruments, and risk management principles.
- Experience with data visualization tools and techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and manage multiple projects in a remote setting.
Senior Quantitative Analyst - Financial Modeling
Posted 4 days ago
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Job Description
Remote Lead Quantitative Analyst - Financial Modeling
Posted today
Job Viewed
Job Description
Responsibilities:
- Develop, implement, and refine quantitative models for pricing, risk management, and asset allocation.
- Conduct in-depth statistical analysis of market data to identify trends, patterns, and trading opportunities.
- Design and backtest algorithmic trading strategies.
- Collaborate with portfolio managers and traders to provide quantitative support and insights.
- Manage and mentor a team of quantitative analysts, fostering their professional development.
- Ensure the accuracy, robustness, and efficiency of all developed models and systems.
- Perform rigorous quantitative research and contribute to the firm's intellectual capital.
- Stay abreast of the latest advancements in quantitative finance, econometrics, and machine learning.
- Communicate complex quantitative findings to both technical and non-technical audiences.
- Develop and maintain high-quality code for quantitative research and production systems.
- Oversee data quality and integrity for all analytical processes.
- Contribute to the firm's risk management framework and stress testing initiatives.
- Proactively identify areas for innovation and improvement in quantitative methodologies.
- Ensure compliance with all relevant financial regulations and ethical standards.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 8 years of experience in quantitative finance, including at least 3 years in a leadership or senior analyst role.
- Proven expertise in financial modeling, statistical analysis, and econometrics.
- Strong programming skills in languages such as Python, R, C++, or MATLAB.
- Experience with machine learning techniques and their application in finance is highly desirable.
- Deep understanding of financial markets, instruments, and derivatives.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex quantitative concepts clearly.
- Proven ability to lead and mentor a team effectively in a remote environment.
- Ability to work independently, manage multiple projects, and meet tight deadlines.
- Familiarity with large datasets and database management.
- A strong commitment to research and continuous learning.
This fully remote opportunity offers a challenging and rewarding career path for a top-tier quantitative professional. Join a dynamic and successful firm where your analytical expertise will drive significant value.
Senior Remote Quantitative Analyst - Financial Modeling
Posted 2 days ago
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Job Description
Responsibilities:
- Develop and implement sophisticated quantitative models for pricing exotic derivatives, risk management, and portfolio optimization.
- Perform rigorous back-testing and validation of financial models using historical data.
- Design and implement algorithms for high-frequency trading strategies.
- Analyze market data and identify potential investment opportunities and risks.
- Collaborate with traders, portfolio managers, and risk officers to understand their modeling needs.
- Develop and maintain code for financial models in languages such as Python, C++, or R.
- Ensure compliance with regulatory requirements and internal risk management policies.
- Stay current with advancements in quantitative finance, machine learning, and financial econometrics.
- Prepare detailed documentation of models, methodologies, and results.
- Present complex quantitative findings to both technical and non-technical stakeholders.
- Contribute to the continuous improvement of the firm's quantitative infrastructure and tools.
Qualifications:
- Master's or Ph.D. in Mathematics, Statistics, Physics, Financial Engineering, or a related quantitative field.
- Minimum of 7 years of experience in quantitative analysis, financial modeling, or risk management within the finance industry.
- Expertise in programming languages such as Python, C++, or R, with experience in numerical methods and optimization techniques.
- Deep understanding of financial markets, derivatives, and fixed-income securities.
- Proven experience in developing and validating complex financial models.
- Strong statistical and econometric modeling skills.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Exceptional communication skills for effectively presenting complex quantitative concepts remotely.
- Experience with big data technologies and machine learning is a significant advantage.
This is a highly rewarding, fully remote position for a seasoned quantitative professional. The successful candidate will be integrated into our global financial operations, with a focus relevant to the financial landscape in Nairobi, Nairobi, KE .
Remote Senior Quantitative Analyst - Financial Modeling
Posted 2 days ago
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Job Description
- Developing, validating, and implementing complex quantitative models for pricing derivatives, assessing market risk, credit risk, and operational risk.
- Designing and conducting back-testing and stress-testing of models to ensure accuracy and reliability under various market conditions.
- Collaborating with traders, portfolio managers, and risk officers to understand their analytical needs and translate them into model requirements.
- Writing efficient and production-ready code in languages such as Python, R, C++, or Java for model implementation and data analysis.
- Performing deep-dive analysis on large datasets to identify trends, anomalies, and potential opportunities or risks.
- Documenting model methodologies, assumptions, and performance in clear, concise reports suitable for both technical and non-technical audiences.
- Staying abreast of the latest academic research and industry trends in quantitative finance and machine learning.
- Contributing to the continuous improvement of the firm's quantitative infrastructure and methodologies.
- Providing training and technical support to other members of the team and business units on model usage and interpretation.
- Ensuring compliance with regulatory requirements and internal policies related to model risk management.
- Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Economics.
- A minimum of 7 years of relevant experience in quantitative finance, risk management, or asset management.
- Proven expertise in statistical modeling, time series analysis, machine learning algorithms, and numerical methods.
- Strong programming skills with demonstrated experience in at least one major quantitative language (Python, R, C++).
- In-depth knowledge of financial markets, derivatives, fixed income, equities, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and presentation skills, with the ability to explain complex quantitative concepts effectively.
- Demonstrated ability to work independently, manage multiple priorities, and meet tight deadlines in a remote environment.
- Experience with large-scale data processing and database technologies is a plus.
- Familiarity with regulatory frameworks (e.g., Basel III, Dodd-Frank) is advantageous.
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Remote Senior Quantitative Analyst - Financial Modeling
Posted 3 days ago
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Job Description
- Design, develop, and maintain advanced quantitative models for pricing, risk management, and trading strategies.
- Conduct in-depth statistical analysis of large datasets to identify trends, patterns, and opportunities.
- Perform scenario analysis and stress testing to assess portfolio resilience.
- Collaborate with portfolio managers and traders to implement quantitative strategies and solutions.
- Develop and automate reports and dashboards for key financial metrics.
- Stay current with academic research and industry developments in quantitative finance.
- Validate and back-test model performance, ensuring accuracy and reliability.
- Communicate complex quantitative concepts and findings clearly to both technical and non-technical stakeholders.
- Contribute to the firm's overall quantitative strategy and research agenda.
- Ensure compliance with regulatory requirements and internal policies.
- Manage multiple projects concurrently in a remote environment.
- Master's or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, or Physics.
- Minimum of 6 years of experience in quantitative analysis within the financial services industry.
- Proficiency in programming languages such as Python, R, C++, or similar.
- Strong expertise in statistical modeling, time series analysis, and machine learning techniques.
- Deep understanding of financial instruments, markets, and risk management principles.
- Experience with data visualization tools and techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage time effectively in a remote setting.
- Strong written and verbal communication skills.
- Experience with cloud computing platforms is a plus.
- This fully remote role supports operations related to the Eldoret, Uasin Gishu, KE financial hub, demanding exceptional analytical prowess.
Senior Quantitative Analyst - Remote Financial Modeling
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Develop, implement, and maintain sophisticated quantitative models for financial markets.
- Perform rigorous data analysis on large datasets to identify patterns and insights.
- Design and execute back-testing and validation frameworks for trading strategies and risk models.
- Collaborate with portfolio managers, traders, and risk managers to translate business needs into quantitative solutions.
- Communicate complex analytical findings clearly and concisely to technical and non-technical audiences.
- Stay abreast of academic research and industry trends in quantitative finance and econometrics.
- Ensure the accuracy, reliability, and robustness of all developed models.
- Develop and automate data pipelines and reporting processes.
- Contribute to the development of new financial products and risk management frameworks.
- Write high-quality code for model implementation, testing, and deployment.
- Participate in model review and validation processes.
- Master's degree or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 5 years of experience in quantitative analysis, financial modeling, or a related role within the financial industry.
- Expertise in statistical modeling, time series analysis, econometrics, and machine learning techniques.
- Proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB.
- Strong understanding of financial instruments (equities, derivatives, fixed income) and market dynamics.
- Experience with data manipulation and analysis tools.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills for a remote work environment.
- Ability to work independently and manage multiple projects simultaneously.
- Familiarity with risk management principles and regulatory requirements is a plus.
Senior Quantitative Analyst - Remote Financial Modeling
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, implement, and validate quantitative models for pricing, risk management, and trading strategies.
- Analyze large and complex datasets to identify patterns, trends, and anomalies.
- Utilize statistical methods, machine learning, and econometrics to build predictive models.
- Collaborate remotely with portfolio managers, traders, and risk management teams.
- Design and conduct back-testing and scenario analysis for model validation.
- Prepare detailed reports and presentations of analytical findings and recommendations.
- Contribute to the development of new financial products and investment strategies.
- Ensure the accuracy, robustness, and efficiency of developed models.
- Stay abreast of the latest developments in quantitative finance, data science, and relevant technologies.
- Write efficient and well-documented code for model implementation and deployment.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Computer Science.
- Minimum of 7 years of experience in quantitative analysis, financial modeling, or a related role within the finance industry.
- Expert proficiency in programming languages like Python, R, C++, and SQL.
- Strong understanding of financial markets, derivatives, and portfolio theory.
- Experience with machine learning techniques and libraries (e.g., scikit-learn, TensorFlow).
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to communicate complex quantitative concepts effectively to diverse audiences.
- Experience with large-scale data manipulation and visualization tools.
- Ability to work independently and manage multiple projects in a remote environment.
- Familiarity with risk management frameworks and regulatory requirements in banking.