1,911 Financial Modeling jobs in Kenya
Actuarial Analyst, Financial Modeling
00300 Nyeri Town
KES550000 Annually
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Posted 2 days ago
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Job Description
Our client, a leading and innovative insurance company, is seeking a talented and motivated Actuarial Analyst to join their fully remote actuarial team. This role is crucial for developing and maintaining sophisticated financial models that support pricing, reserving, and strategic decision-making across the organization. The ideal candidate will possess a strong foundation in actuarial science, quantitative analysis, and advanced programming skills. You will be responsible for building, testing, and validating complex actuarial models, analyzing financial data, and communicating your findings to both technical and non-technical audiences. Collaboration with underwriters, product developers, and finance teams will be key to ensuring that models accurately reflect business needs and regulatory requirements. A proactive approach to problem-solving, meticulous attention to detail, and a commitment to professional development in the actuarial field are essential. This is a fully remote position, offering the flexibility to work from home and contribute to the company's success from anywhere, fostering a healthy work-life balance.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and maintain actuarial models for pricing, reserving, and financial forecasting.
- Analyze large datasets to identify trends, patterns, and potential risks.
- Perform regular model validation and testing to ensure accuracy and reliability.
- Collaborate with product development teams to design new insurance products and pricing structures.
- Support the reserving process by conducting actuarial analyses and providing reserve recommendations.
- Communicate complex actuarial findings and recommendations clearly to stakeholders.
- Ensure compliance with relevant actuarial standards and regulatory requirements.
- Automate routine actuarial tasks and processes using programming languages.
- Stay current with advancements in actuarial science, modeling techniques, and insurance regulations.
- Assist in the preparation of regulatory filings and financial reports.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
- Progress towards actuarial designation (e.g., ASA, FSA, FIA) is required; fellowship status is a plus.
- Minimum of 3-5 years of experience in actuarial analysis within the insurance industry.
- Proficiency in actuarial modeling software and statistical analysis tools.
- Strong programming skills in languages such as Python, R, or VBA.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong understanding of insurance products, principles, and financial concepts.
- Effective communication and presentation skills, with the ability to explain technical concepts to non-experts.
- Ability to work independently and manage multiple projects in a remote environment.
- Meticulous attention to detail and commitment to accuracy.
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0
Quantitative Analyst (Financial Modeling)
50100 Kakamega, Western
KES250000 Annually
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Posted 2 days ago
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Job Description
Our client is seeking a highly analytical and detail-oriented Quantitative Analyst with expertise in financial modeling. This is a fully remote position, offering a unique opportunity to work with a leading financial institution from anywhere. The Quantitative Analyst will be responsible for developing, implementing, and validating complex mathematical and statistical models to support trading strategies, risk management, and investment decisions. Your role will involve in-depth data analysis, designing algorithms, backtesting strategies, and providing quantitative insights to traders and portfolio managers. Key responsibilities include building sophisticated models for asset pricing, risk assessment, and portfolio optimization; programming in languages such as Python, R, or C++; performing rigorous statistical analysis; and ensuring the accuracy and reliability of all models. The ideal candidate will possess a strong academic background in a quantitative field (e.g., Finance, Mathematics, Physics, Computer Science) and significant experience in quantitative finance or a related area. Proficiency with financial markets, derivatives, and regulatory frameworks is crucial. Excellent problem-solving skills, a proactive mindset, and the ability to work independently in a remote setting are essential. You will be expected to communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences. This role offers a challenging and rewarding environment for a quantitative professional looking to make a significant impact within the financial sector. We are looking for an individual who is passionate about innovation and committed to upholding the highest standards of analytical rigor. This role is associated with our operations in Kakamega, Kakamega, KE , but is a remote position.
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1
Quantitative Analyst - Financial Modeling
20100 Mwembe
KES5500000 Annually
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Posted 2 days ago
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Job Description
Our client, a leading global investment bank, is seeking a highly analytical and skilled Quantitative Analyst to join their fully remote quantitative strategies team. This role is integral to developing, implementing, and maintaining sophisticated mathematical models for pricing, risk management, and trading strategies across various asset classes. You will work with vast datasets, cutting-edge technologies, and collaborate with traders, portfolio managers, and technology teams to drive innovation in financial markets.
Responsibilities:
Responsibilities:
- Develop, backtest, and deploy quantitative models for financial instruments (equities, fixed income, derivatives, FX).
- Analyze market data to identify trading opportunities and risk exposures.
- Implement models in high-performance programming languages (e.g., C++, Python).
- Collaborate with front-office and technology teams to integrate models into trading systems and risk platforms.
- Perform rigorous statistical analysis and stress testing of models to ensure robustness.
- Contribute to the research and development of new trading algorithms and risk management techniques.
- Monitor model performance and implement necessary adjustments or upgrades.
- Explain complex quantitative concepts to non-technical stakeholders.
- Stay current with academic research and industry trends in quantitative finance.
- Ensure compliance with all regulatory requirements and internal policies.
- Develop and maintain documentation for models and methodologies.
- Participate in code reviews and contribute to improving team development practices.
- Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- Proven experience (5+ years) in quantitative finance, financial modeling, or algorithmic trading.
- Strong programming skills in C++ and Python, with experience in numerical methods and scientific computing libraries.
- Deep understanding of financial markets, derivatives pricing, and risk management principles.
- Expertise in statistical modeling, time series analysis, and machine learning techniques.
- Experience with large datasets and database technologies (SQL, NoSQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work effectively in a fast-paced, demanding, and fully remote environment.
- Strong communication and presentation skills.
- Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
- Experience with real-time data processing and high-frequency trading systems is advantageous.
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2
Senior Quantitative Analyst - Financial Modeling
20100 Mwembe
KES380000 Annually
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Posted today
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Job Description
Our client, a prominent financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their fully remote finance team. This role is central to developing and implementing sophisticated financial models, risk assessment tools, and pricing strategies. The ideal candidate will possess a strong foundation in mathematics, statistics, and finance, coupled with proven expertise in quantitative modeling and programming. You will play a key role in supporting investment decisions, managing financial risks, and driving innovation in financial product development. Exceptional analytical rigor, problem-solving abilities, and a meticulous attention to detail are essential.
Responsibilities:
Responsibilities:
- Develop, implement, and validate complex quantitative models for pricing financial instruments, risk management (e.g., VaR, credit risk), and portfolio optimization.
- Analyze financial data to identify trends, patterns, and insights that inform strategic decision-making.
- Conduct rigorous backtesting and stress testing of financial models to ensure their robustness and accuracy.
- Collaborate with portfolio managers, traders, and risk managers to understand their analytical needs and provide quantitative support.
- Develop and maintain algorithms for trading strategies and risk mitigation.
- Stay abreast of the latest academic research and industry developments in quantitative finance.
- Automate data collection, analysis, and reporting processes using programming languages and tools.
- Communicate complex quantitative concepts and findings clearly and concisely to both technical and non-technical stakeholders.
- Ensure compliance with regulatory requirements and internal policies related to financial modeling and risk management.
- Contribute to the development of new financial products and strategies by providing quantitative insights.
- Mentor junior quantitative analysts and contribute to the team's technical growth.
- Evaluate and implement new quantitative methodologies and technologies.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, or Economics.
- Minimum of 7 years of experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
- Proven expertise in developing and implementing statistical and mathematical models.
- Strong programming skills in languages such as Python, R, C++, or MATLAB.
- In-depth knowledge of financial markets, instruments, and derivatives.
- Experience with financial databases and data manipulation tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex models to diverse audiences.
- Ability to work independently and manage multiple projects in a remote, fast-paced environment.
- Familiarity with machine learning techniques applied to finance is a plus.
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3
Senior Quantitative Analyst, Financial Modeling
80100 Shella
KES700000 Annually
WhatJobs
Posted today
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Job Description
Our client, a prominent financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their risk management and trading strategy team. This is a fully remote position, offering the flexibility to work from anywhere. You will be responsible for developing, implementing, and validating sophisticated quantitative models used for risk assessment, pricing, and portfolio optimization. The ideal candidate possesses a strong academic background in a quantitative discipline and extensive experience in financial modeling and data analysis.
Key Responsibilities:
Qualifications:
This is a challenging and rewarding opportunity for a top-tier quantitative professional to make a significant impact on the firm's trading and risk management capabilities in a flexible remote setting.
Key Responsibilities:
- Develop, implement, and maintain complex quantitative models for pricing derivatives, assessing market risk, and managing credit risk.
- Perform rigorous backtesting and validation of models to ensure accuracy and reliability.
- Analyze large datasets to identify trends, patterns, and insights that inform trading strategies and risk management decisions.
- Collaborate with traders, portfolio managers, and risk officers to understand their needs and provide quantitative solutions.
- Contribute to the development of new financial products and investment strategies through quantitative analysis.
- Stay abreast of regulatory changes and industry best practices in quantitative finance.
- Document model methodologies, assumptions, and results clearly and comprehensively.
- Communicate complex quantitative concepts to non-technical stakeholders effectively.
- Automate data analysis and reporting processes using programming languages.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, or Computer Science.
- Minimum of 5 years of experience in quantitative analysis, financial modeling, or a related role within the financial services industry.
- Expertise in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB.
- Strong understanding of stochastic calculus, probability theory, time series analysis, and statistical modeling.
- Experience with financial markets, instruments, and risk management techniques.
- Proficiency in data manipulation, statistical software, and database management.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present complex information clearly.
- Proven ability to work independently and as part of a remote team.
This is a challenging and rewarding opportunity for a top-tier quantitative professional to make a significant impact on the firm's trading and risk management capabilities in a flexible remote setting.
This advertiser has chosen not to accept applicants from your region.
4
Senior Quantitative Analyst - Financial Modeling
20100 Mwembe
KES5000000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client is seeking a highly analytical and experienced Senior Quantitative Analyst to join their elite remote team. This role is critical in developing and implementing sophisticated financial models and analytical tools to support trading strategies, risk management, and product development. You will leverage advanced mathematical, statistical, and computational techniques to solve complex financial problems. The ideal candidate will possess a deep understanding of financial markets, derivatives, and econometrics, coupled with exceptional programming skills. This position offers the opportunity to work on challenging problems within a fast-paced, global, remote environment, influencing key financial decisions.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and backtest complex quantitative models for pricing, risk management, and trading strategies.
- Analyze large datasets to identify market trends, patterns, and investment opportunities.
- Design and build analytical tools and dashboards to support portfolio managers and traders.
- Collaborate with portfolio managers, traders, and risk managers to understand their needs and translate them into quantitative solutions.
- Conduct research on new quantitative methodologies and financial instruments.
- Perform thorough validation and testing of models to ensure accuracy and robustness.
- Prepare clear and concise documentation of models, methodologies, and results.
- Communicate complex analytical findings to both technical and non-technical audiences effectively.
- Stay abreast of the latest advancements in quantitative finance, data science, and programming languages.
- Ensure compliance with regulatory requirements and internal policies.
- Mentor junior quantitative analysts and contribute to the team's knowledge sharing.
- Contribute to the development and enhancement of trading algorithms and risk systems.
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or Economics.
- Minimum of 5 years of relevant experience in quantitative analysis, ideally within investment banking, hedge funds, or asset management.
- Strong proficiency in programming languages such as Python, C++, R, or MATLAB.
- Deep understanding of stochastic calculus, probability theory, time series analysis, and econometrics.
- Experience with financial modeling, derivatives pricing, and risk management techniques.
- Excellent data manipulation and analysis skills.
- Proven ability to work independently and as part of a collaborative remote team.
- Strong problem-solving and critical thinking abilities.
- Exceptional communication and presentation skills, with the ability to explain complex technical concepts clearly.
- Experience with machine learning techniques is a plus.
This advertiser has chosen not to accept applicants from your region.
5
Lead Quantitative Analyst - Financial Modeling
00100 Ngong
KES280000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client, a leading financial institution, is seeking an experienced Lead Quantitative Analyst to join their advanced analytics team. This is a fully remote role, allowing you to contribute your expertise from anywhere. You will be responsible for developing sophisticated financial models, conducting complex data analysis, and providing critical insights to support strategic decision-making. The ideal candidate will have a strong background in quantitative finance, econometrics, and statistical modeling. Responsibilities include designing and implementing pricing, hedging, and risk management models; performing backtesting and validation of quantitative strategies; analyzing large datasets to identify trends and opportunities; and communicating complex findings to both technical and non-technical stakeholders. Proficiency in programming languages such as Python, R, or C++ is essential, along with experience in SQL and financial databases. A deep understanding of financial markets, derivatives, and regulatory requirements is crucial. You will also play a key role in mentoring junior analysts and driving innovation within the quantitative team. This remote position requires exceptional analytical and problem-solving skills, the ability to work independently, and a commitment to producing high-quality, rigorous analysis. A master's degree or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, or Physics is required, along with several years of relevant industry experience. If you are passionate about leveraging advanced quantitative techniques to solve complex financial challenges in a remote setting, we encourage you to apply.
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6
Senior Quantitative Analyst - Financial Modeling
60100 Meru , Eastern
KES280000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is seeking a highly skilled and analytical Senior Quantitative Analyst to join their dynamic financial services team. This is a fully remote position, offering a challenging and rewarding opportunity to develop and implement sophisticated financial models, risk management systems, and trading strategies. You will be instrumental in applying advanced mathematical and statistical techniques to complex financial data, providing critical insights that drive business decisions and inform investment strategies. Your responsibilities will include designing, building, and maintaining quantitative models for pricing derivatives, assessing market risk, optimizing portfolios, and predicting financial market movements. You will collaborate closely with traders, portfolio managers, risk officers, and IT professionals to translate complex analytical findings into actionable business solutions.
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering, with a minimum of 5 years of experience in quantitative finance. Proven expertise in statistical modeling, time series analysis, econometrics, and financial derivatives pricing is essential. You should be proficient in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB, and possess strong database management skills (e.g., SQL). A deep understanding of financial markets, instruments, and regulatory requirements is highly desirable. Excellent problem-solving, analytical, and critical thinking skills are paramount for tackling complex financial challenges. Strong communication skills are necessary to effectively explain sophisticated models and findings to both technical and non-technical audiences. This remote role requires a self-motivated, detail-oriented individual with a passion for quantitative analysis and a commitment to maintaining the highest standards of accuracy and integrity in financial modeling.
Responsibilities:
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering, with a minimum of 5 years of experience in quantitative finance. Proven expertise in statistical modeling, time series analysis, econometrics, and financial derivatives pricing is essential. You should be proficient in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB, and possess strong database management skills (e.g., SQL). A deep understanding of financial markets, instruments, and regulatory requirements is highly desirable. Excellent problem-solving, analytical, and critical thinking skills are paramount for tackling complex financial challenges. Strong communication skills are necessary to effectively explain sophisticated models and findings to both technical and non-technical audiences. This remote role requires a self-motivated, detail-oriented individual with a passion for quantitative analysis and a commitment to maintaining the highest standards of accuracy and integrity in financial modeling.
Responsibilities:
- Develop, implement, and validate quantitative models for financial markets.
- Design and build complex financial models for pricing, risk management, and trading strategies.
- Conduct in-depth statistical analysis of financial data to identify trends and patterns.
- Perform stress testing and scenario analysis to assess market risk.
- Collaborate with traders and portfolio managers to support investment decisions.
- Develop and maintain automated reporting systems for key financial metrics.
- Ensure models comply with regulatory requirements and internal risk policies.
- Stay current with the latest advancements in quantitative finance and financial modeling techniques.
- Communicate complex model outputs and insights to stakeholders effectively.
- Mentor junior quantitative analysts and contribute to team development.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Economics, Financial Engineering, or a related quantitative field.
- 5+ years of experience in quantitative finance, financial modeling, or risk management.
- Proven expertise in statistical modeling, econometrics, and derivative pricing.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong knowledge of SQL and database management.
- Deep understanding of financial markets and instruments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills for presenting complex findings.
- Ability to work independently and manage complex projects in a remote setting.
This advertiser has chosen not to accept applicants from your region.
7
Lead Quantitative Analyst - Financial Modeling
00100 Ngong
KES10000000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client, a prestigious international financial institution, is actively seeking a highly accomplished Lead Quantitative Analyst specializing in financial modeling to join their elite, remote-first team. This pivotal role will drive the development and refinement of sophisticated quantitative models used across trading, risk management, and investment strategies. You will be responsible for designing, implementing, and validating complex financial models, ensuring their accuracy, robustness, and compliance with regulatory standards. Your expertise will be instrumental in pricing exotic derivatives, assessing market risk, and developing algorithmic trading strategies. Key responsibilities include collaborating with traders, portfolio managers, and risk officers to understand their modeling needs, conducting rigorous back-testing and stress-testing of models, and documenting all methodologies and assumptions thoroughly. You will also mentor junior quantitative analysts and contribute to the firm's overall quantitative research agenda. The ideal candidate possesses a Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Physics, or Computer Science, coupled with extensive experience in quantitative finance. Demonstrable expertise in programming languages like Python, C++, or R, and deep knowledge of financial markets and instruments are essential. Strong analytical, statistical, and problem-solving skills are paramount. As a fully remote role, exceptional communication, collaboration, and self-management skills are required to thrive in this distributed team environment. You will contribute to critical financial decisions from your home office, impacting global markets. This is a unique opportunity to work at the forefront of financial innovation, shaping the analytical capabilities of a leading institution and driving significant business outcomes. Your work will directly influence trading strategies and risk mitigation efforts.
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8
Senior Quantitative Analyst - Financial Modeling
20200 Kapsuser
KES200000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled Senior Quantitative Analyst to join their sophisticated, fully remote financial services team. This role is integral to developing and implementing advanced mathematical models and analytical frameworks that drive strategic decision-making in banking and finance. You will be responsible for designing, testing, and deploying complex quantitative models for risk management, pricing, trading strategies, and portfolio optimization. The ideal candidate possesses a strong background in econometrics, statistics, and computational finance, coupled with exceptional programming skills. You will collaborate closely with traders, portfolio managers, risk officers, and IT professionals, utilizing cutting-edge virtual collaboration tools to ensure seamless integration and project success. This is an exceptional opportunity to apply advanced analytical techniques to complex financial problems and significantly influence the firm's performance, all while enjoying the benefits of a remote work environment. Responsibilities include:
- Developing, validating, and implementing quantitative models for financial markets.
- Performing complex statistical analysis and data mining on large financial datasets.
- Creating and maintaining pricing models for derivatives and other financial instruments.
- Developing risk management models (e.g., VaR, credit risk, market risk).
- Designing and backtesting trading algorithms and strategies.
- Collaborating with business units to understand their analytical needs and provide solutions.
- Producing clear and concise documentation of models and methodologies.
- Staying abreast of the latest advancements in quantitative finance and data science.
- Mentoring junior quantitative analysts and contributing to the team's technical expertise.
- Ensuring models comply with regulatory requirements.
- Master's or Ph.D. in Quantitative Finance, Statistics, Economics, Mathematics, Computer Science, or a related quantitative field.
- Minimum of 7 years of experience in quantitative analysis within the banking or financial services industry.
- Proven expertise in statistical modeling, time series analysis, machine learning, and econometrics.
- Exceptional programming skills in languages such as Python, R, C++, or MATLAB.
- Proficiency with financial databases and analytical platforms.
- Strong understanding of financial instruments, markets, and risk management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superior communication and presentation skills, capable of conveying complex concepts to diverse audiences.
- Ability to work independently and manage multiple projects effectively in a remote setting.
- Experience with big data technologies is a plus.
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