378 Financial Analysis jobs in Kenya
Job Description
Job Summary
We are seeking a highly skilled Data Analyst with a strong focus on financial modeling. In this role, financial modeling is the core responsibility—you will spend most of your time building and refining models that drive strategic client decisions. Data skills (SQL, Python, BigQuery) will enable you to scale and optimize that work.
This role is client-facing: you'll collaborate directly with CFOs and other analysts to deliver outputs seen by clients. Accuracy, clarity, and attention to detail are critical, as mistakes can directly impact client trust. The ideal candidate is passionate about financial modeling, eager to learn across industries, and thrives in a collaborative, fast-changing environment.
Key Responsibilities
1. Financial Modeling (Core)
o Build, refine, and maintain cash flow forecasts, KPI analytics, and operating financial models.
o Ensure models are modular, intuitive, and user-friendly, enabling broad usability across multiple clients.
o Translate P&L statements, KPIs, and financial data into actionable forecasts and insights.
2. Client-Facing Analysis
o Deliver financial insights directly to clients with clarity and professionalism.
o Collaborate with CFOs and analysts to provide strategic recommendations.
o Adapt quickly to different industries and business models—no two clients are alike.
3. Data Analysis & Reporting
o Use SQL (preferably Google BigQuery) to collect and analyze datasets.
o Apply Python for advanced data processing, automation, and visualization.
o Support the design of scalable systems for financial data and KPI analysis.
4. Collaboration & Problem-Solving
o Work closely with cross-functional teams in a highly collaborative environment.
o Contribute to new approaches, dashboards, and tools that push the boundaries of how CFOs operate.
o Approach challenges with creativity, intellectual sharpness, and entrepreneurial spirit.
Required Qualifications
· Bachelor's degree from a top-tier university in Data Analytics, Finance, Computer Science, Engineering or a related field.
· Proven expertise in financial modeling (cash flow forecasting, KPI analytics, operating models).
· Proficiency in SQL and Python.
· Strong financial acumen and understanding of operating-level finance.
· Excellent analytical and problem-solving skills with attention to detail.
Preferred Qualifications
· Experience with Google BigQuery or similar cloud SQL environments.
· Familiarity with data pipelines, ETL processes, or scalable data workflows.
· Exposure to cloud platforms such as GCP.
· Advanced Excel/Google Sheets skills for financial modeling.
· Experience with B2C (consumer product) companies.
· Familiarity with BI/analytics tools such as Looker, Tableau, or dbt (helpful, not required).
Soft Skills
· Passion for financial modeling—comfortable working on it daily.
· High accountability: understands the sensitivity of client-facing work.
· Strong communication skills to explain complex insights clearly.
· Ability to learn quickly and adapt to changing client needs.
· Entrepreneurial mindset with curiosity and creativity.
What You'll Gain
· Exposure to a wide range of clients, industries, and metrics.
· The opportunity to build financial products and models that shape CFO functions across companies.
· A collaborative environment where sharp thinkers and problem-solvers thrive.
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Quantitative Analyst - Financial Modeling
Posted 17 days ago
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Job Description
Our client, a leading financial institution, is looking for a highly analytical and detail-oriented Quantitative Analyst to join their esteemed team in Kitale, Trans-Nzoia, KE . This critical role involves developing, implementing, and maintaining sophisticated financial models to support trading strategies, risk management, and product development. The ideal candidate will possess a strong quantitative background, exceptional mathematical acumen, and a deep understanding of financial markets and instruments. Responsibilities include designing complex pricing and risk models for derivatives and other financial products, performing statistical analysis on large datasets, back-testing model performance, and validating model outputs. You will collaborate closely with traders, portfolio managers, and risk officers to provide quantitative insights and solutions to complex financial problems. The role requires a proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB, and experience with financial databases and tools. The ability to clearly communicate intricate quantitative concepts to non-technical stakeholders is essential. We are seeking an individual who is passionate about finance, possesses a relentless drive for accuracy, and thrives in a challenging, fast-paced environment. You will play a key role in ensuring the firm's competitive advantage through rigorous quantitative analysis and innovation. The successful candidate will be expected to stay abreast of market trends and regulatory changes, adapting models accordingly. A strong commitment to ethical practices and compliance is fundamental.
Qualifications:
Qualifications:
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering.
- Minimum of 5 years of experience as a Quantitative Analyst or in a similar role.
- Proven experience in developing and implementing financial models (pricing, risk, econometrics).
- Strong programming skills in Python, R, C++, or MATLAB.
- Familiarity with financial markets, derivatives, and fixed income instruments.
- Excellent analytical, problem-solving, and statistical modeling skills.
- Strong communication and presentation abilities, with the capacity to explain complex quantitative concepts to diverse audiences.
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1
Lead Quantitative Analyst - Financial Modeling
Posted 22 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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Senior Quantitative Analyst, Financial Modeling
Posted 20 days ago
Job Viewed
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.
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Remote Lead Quantitative Analyst - Financial Modeling
Posted 6 days ago
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Job Description
Our client, a distinguished leader in the financial services sector, is seeking a highly skilled and analytical Remote Lead Quantitative Analyst to join their esteemed team. This is a critical, fully remote role focused on developing and implementing sophisticated financial models that drive strategic decision-making and risk management across the organization. You will leverage your deep understanding of complex financial instruments, statistical modeling, and programming to build, test, and deploy cutting-edge quantitative solutions. This position offers the opportunity to work on challenging projects with a global impact, all from the convenience of your remote workspace.
Your responsibilities will include leading the design and development of complex financial models for pricing, risk assessment, and valuation of various financial products, including derivatives, equities, and fixed income. You will conduct rigorous statistical analysis, back-testing, and validation of models to ensure accuracy and reliability. Collaborating closely with traders, portfolio managers, and risk officers, you will translate their needs into actionable quantitative strategies. Developing and maintaining high-quality code in languages such as Python, R, or C++ for model implementation and integration into production systems will be a significant part of your duties. You will also stay abreast of the latest academic research and industry trends in quantitative finance, identifying opportunities to enhance existing methodologies and introduce innovative approaches.
The ideal candidate will hold a Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science, complemented by a minimum of 7 years of experience in quantitative analysis within investment banking, asset management, or a related financial institution. Demonstrated expertise in financial modeling, stochastic calculus, time series analysis, and machine learning techniques is essential. Proficiency in programming languages (Python, R, C++) and experience with financial databases and libraries (e.g., Bloomberg, FactSet) are required. Strong analytical, problem-solving, and communication skills are necessary to effectively convey complex findings to both technical and non-technical audiences. If you are a passionate quant ready to make a significant impact remotely, we encourage you to apply.
Your responsibilities will include leading the design and development of complex financial models for pricing, risk assessment, and valuation of various financial products, including derivatives, equities, and fixed income. You will conduct rigorous statistical analysis, back-testing, and validation of models to ensure accuracy and reliability. Collaborating closely with traders, portfolio managers, and risk officers, you will translate their needs into actionable quantitative strategies. Developing and maintaining high-quality code in languages such as Python, R, or C++ for model implementation and integration into production systems will be a significant part of your duties. You will also stay abreast of the latest academic research and industry trends in quantitative finance, identifying opportunities to enhance existing methodologies and introduce innovative approaches.
The ideal candidate will hold a Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science, complemented by a minimum of 7 years of experience in quantitative analysis within investment banking, asset management, or a related financial institution. Demonstrated expertise in financial modeling, stochastic calculus, time series analysis, and machine learning techniques is essential. Proficiency in programming languages (Python, R, C++) and experience with financial databases and libraries (e.g., Bloomberg, FactSet) are required. Strong analytical, problem-solving, and communication skills are necessary to effectively convey complex findings to both technical and non-technical audiences. If you are a passionate quant ready to make a significant impact remotely, we encourage you to apply.
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4
Lead Quantitative Analyst - Financial Modeling (Remote)
Posted 14 days ago
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Job Description
Our client, a leading financial institution, is looking for a highly skilled Lead Quantitative Analyst to join their innovative and fully remote finance team. This pivotal role will involve developing sophisticated financial models, conducting complex risk analysis, and contributing to strategic decision-making processes. The ideal candidate will have a robust background in quantitative finance, econometrics, and advanced statistical modeling. You will be instrumental in designing, implementing, and validating pricing, risk, and valuation models for a wide range of financial instruments. This position demands exceptional analytical rigor, programming proficiency, and the ability to communicate complex quantitative concepts to both technical and non-technical stakeholders, all within a collaborative remote work setting.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement advanced quantitative models for financial derivatives pricing, risk management, and portfolio optimization.
- Conduct rigorous statistical analysis and back-testing of models to ensure accuracy and reliability.
- Develop and maintain robust valuation frameworks for complex financial products.
- Collaborate closely with traders, portfolio managers, and risk officers to understand their needs and provide data-driven insights.
- Build and maintain automated reporting systems for key financial metrics and model performance.
- Ensure compliance with regulatory requirements and internal policies related to model risk management.
- Research and stay current with the latest advancements in quantitative finance, machine learning, and computational finance.
- Mentor and guide junior quantitative analysts, fostering a culture of continuous learning and development.
- Develop and document model methodologies, assumptions, and limitations clearly and comprehensively.
- Present complex analytical findings and model outputs to senior management and other stakeholders in an understandable manner.
- Contribute to the enhancement of the firm's trading strategies and risk management frameworks through quantitative insights.
- Advanced degree (Master's or PhD) in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 8 years of experience in a quantitative role within the financial services industry.
- Expertise in statistical modeling, time series analysis, stochastic calculus, and financial econometrics.
- Proficiency in programming languages such as Python (with libraries like NumPy, SciPy, Pandas), R, or C++.
- Experience with financial modeling software and platforms.
- Strong understanding of financial markets, instruments, and regulatory landscapes.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex topics clearly.
- Proven ability to work independently and collaboratively in a remote team environment.
- Demonstrated leadership capabilities and experience mentoring junior staff.
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Remote Senior Quantitative Analyst - Financial Modeling
Posted 19 days ago
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Job Description
Our client, a leading financial institution, is seeking a highly skilled and experienced Remote Senior Quantitative Analyst to join their advanced analytics team. This fully remote position is ideal for individuals with a strong background in financial modeling, statistical analysis, and programming. You will be responsible for developing, testing, and implementing complex quantitative models used for risk management, trading strategies, and portfolio optimization. Key tasks include designing and validating pricing models, risk measurement tools, and algorithmic trading systems. You will work with large datasets, performing rigorous statistical analysis and ensuring the accuracy and robustness of model outputs. Proficiency in programming languages such as Python, R, C++, or Java, along with experience in financial modeling software and databases, is essential. The ideal candidate possesses exceptional analytical and problem-solving skills, a deep understanding of financial markets, and a strong academic record in a quantitative field. This role demands a self-motivated and detail-oriented professional who can work independently in a remote setting while collaborating effectively with portfolio managers, traders, and other stakeholders. Excellent communication skills are required to articulate complex technical concepts to non-technical audiences. This challenging remote role, conceptually tied to **Naivasha, Nakuru, KE**, offers the opportunity to make significant contributions to the firm's quantitative research and development efforts. A master's degree or Ph.D. in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering is required. Prior experience in quantitative finance or a related field is highly desirable. A proven ability to develop and implement production-level code for financial applications is critical. Familiarity with machine learning techniques applied to finance is a strong plus.
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Senior Remote Quantitative Analyst (Financial Modeling)
Posted 7 days ago
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Job Description
Our client, a prestigious global investment bank known for its innovative financial products and robust risk management frameworks, is actively seeking a highly skilled Senior Remote Quantitative Analyst to join their advanced analytics division. This is a fully remote position, offering unparalleled flexibility for top-tier talent. You will play a pivotal role in developing and implementing sophisticated quantitative models used for pricing complex financial instruments, risk assessment, portfolio optimization, and algorithmic trading strategies.
As a Senior Remote Quantitative Analyst, you will collaborate closely with traders, portfolio managers, and risk officers to understand their analytical needs and translate them into rigorous mathematical and statistical models. Your responsibilities will include designing, testing, validating, and deploying these models, ensuring their accuracy, efficiency, and compliance with regulatory standards. You will conduct in-depth research into market dynamics, develop innovative approaches to financial modeling, and contribute to the firm's intellectual capital. This role demands a strong foundation in mathematics, statistics, finance, and programming, with a proven ability to apply these skills to real-world financial challenges in a remote setting.
Key responsibilities include:
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. A minimum of 7 years of experience in quantitative finance, with a strong focus on model development and implementation in areas like derivatives pricing, risk management, or algorithmic trading, is required. Expertise in programming languages such as Python, C++, or Java, and experience with statistical software and data analysis libraries is essential. Deep understanding of financial markets, instruments, and financial econometrics is a must. Proven ability to develop robust, production-ready quantitative models is critical. Experience with machine learning techniques applied to finance is highly desirable. Excellent analytical, problem-solving, and communication skills are necessary to thrive in a collaborative, remote environment. If you are a highly analytical thinker passionate about financial markets and cutting-edge quantitative methods, this remote opportunity offers a challenging and rewarding career path.
As a Senior Remote Quantitative Analyst, you will collaborate closely with traders, portfolio managers, and risk officers to understand their analytical needs and translate them into rigorous mathematical and statistical models. Your responsibilities will include designing, testing, validating, and deploying these models, ensuring their accuracy, efficiency, and compliance with regulatory standards. You will conduct in-depth research into market dynamics, develop innovative approaches to financial modeling, and contribute to the firm's intellectual capital. This role demands a strong foundation in mathematics, statistics, finance, and programming, with a proven ability to apply these skills to real-world financial challenges in a remote setting.
Key responsibilities include:
- Developing, implementing, and validating quantitative models for pricing, risk management, and trading.
- Conducting empirical research and statistical analysis of financial markets and instruments.
- Designing and backtesting trading strategies based on quantitative models.
- Collaborating with front-office and risk management teams to address complex analytical problems.
- Ensuring model compliance with regulatory requirements and internal governance policies.
- Optimizing model performance and computational efficiency.
- Communicating complex quantitative concepts to both technical and non-technical stakeholders.
- Staying abreast of the latest academic research and industry trends in quantitative finance.
- Contributing to the development of the firm's quantitative infrastructure and tools.
- Mentoring junior quantitative analysts and contributing to team knowledge sharing.
The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. A minimum of 7 years of experience in quantitative finance, with a strong focus on model development and implementation in areas like derivatives pricing, risk management, or algorithmic trading, is required. Expertise in programming languages such as Python, C++, or Java, and experience with statistical software and data analysis libraries is essential. Deep understanding of financial markets, instruments, and financial econometrics is a must. Proven ability to develop robust, production-ready quantitative models is critical. Experience with machine learning techniques applied to finance is highly desirable. Excellent analytical, problem-solving, and communication skills are necessary to thrive in a collaborative, remote environment. If you are a highly analytical thinker passionate about financial markets and cutting-edge quantitative methods, this remote opportunity offers a challenging and rewarding career path.
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Senior Quantitative Analyst - Financial Modeling (Remote)
Posted 22 days ago
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Job Description
Our client, a leading global financial institution, is seeking a highly accomplished Senior Quantitative Analyst specializing in Financial Modeling to join their fully remote team. This role is integral to developing sophisticated financial models, performing complex risk analysis, and supporting strategic decision-making across the organization. You will be responsible for building, validating, and implementing pricing, valuation, and risk models for various financial instruments. The ideal candidate possesses a strong academic background in a quantitative field, exceptional programming skills, and extensive experience in financial markets. You will work closely with traders, portfolio managers, and risk managers to provide quantitative insights and solutions. Key responsibilities include designing and coding quantitative models, conducting rigorous backtesting and stress testing, and explaining complex model methodologies to non-technical stakeholders. This is a remote-first position, requiring outstanding analytical, problem-solving, and communication skills. A Master's degree or PhD in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field is required, along with a minimum of 5 years of experience in quantitative finance. Expertise in programming languages such as Python, R, C++, or Java, and experience with statistical and machine learning techniques are essential. Familiarity with financial derivatives and capital markets is crucial. If you are a passionate quantitative professional looking to leverage your skills in a challenging and flexible remote environment, this is an excellent opportunity. Contribute to cutting-edge financial analysis and model development within a supportive, distributed team.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and maintain sophisticated financial models.
- Conduct quantitative analysis and risk assessment of financial instruments.
- Perform rigorous backtesting and validation of pricing and risk models.
- Collaborate with business units to understand their needs and develop quantitative solutions.
- Communicate complex quantitative concepts to both technical and non-technical audiences.
- Utilize statistical and machine learning techniques for financial modeling.
- Stay updated on industry trends and advancements in quantitative finance.
- Contribute to the development of model risk management frameworks.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Master's or PhD in a quantitative field (Mathematics, Physics, Statistics, CS, etc.).
- Minimum of 5 years of experience in quantitative finance or related roles.
- Strong programming skills in Python, R, C++, or Java.
- Deep understanding of financial derivatives, fixed income, and/or equities.
- Experience with statistical modeling, time series analysis, and machine learning.
- Proven ability to build, test, and deploy complex financial models.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills for a remote setting.
- Familiarity with risk management principles and practices.
- Experience with large datasets and databases is a plus.
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8
Senior Actuarial Analyst - Financial Modeling
Posted 7 days ago
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Job Description
Our client, a prominent player in the insurance industry, is seeking a highly skilled Senior Actuarial Analyst to join their team. This role involves the development, validation, and application of sophisticated financial models to support pricing, reserving, capital management, and strategic decision-making. The ideal candidate will possess a strong analytical aptitude, excellent modeling skills, and a deep understanding of insurance products and risk principles. This position offers a hybrid work arrangement, blending remote flexibility with essential in-office collaboration, serving the bustling Nairobi, Nairobi, KE market. Key Responsibilities:
- Develop, implement, and maintain complex actuarial models for pricing, reserving, solvency, and financial projections across various insurance lines.
- Perform actuarial valuations, including the calculation of technical provisions, reserves, and capital requirements, in accordance with regulatory standards.
- Conduct sensitivity analyses, scenario testing, and stress testing to assess the impact of various risks on the company's financial position.
- Collaborate with underwriting, claims, finance, and risk management departments to gather data and provide actuarial insights.
- Assist in the development and enhancement of data quality controls and model governance frameworks.
- Stay current with advancements in actuarial science, modeling techniques, and regulatory changes affecting the insurance industry.
- Communicate complex actuarial findings and recommendations clearly and concisely to senior management and other stakeholders.
- Mentor junior actuarial staff and contribute to their professional development.
- Support the implementation of new actuarial software and systems.
- Ensure compliance with all relevant actuarial standards of practice and professional ethics.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.
- Progress towards or completion of actuarial examinations (e.g., Institute and Faculty of Actuaries, SOA) is highly desirable.
- Minimum of 5 years of progressive experience in actuarial roles within the insurance industry.
- Demonstrated expertise in developing and implementing actuarial models using software such as Prophet, MoSes, R, Python, or VBA.
- Strong understanding of insurance products, risk management principles, and regulatory frameworks (e.g., IFRS 17, Solvency II).
- Excellent analytical, problem-solving, and critical thinking skills.
- Proficiency in data manipulation and analysis tools (e.g., SQL, Excel).
- Strong written and verbal communication skills, with the ability to present technical information effectively.
- Ability to work independently and collaboratively in a hybrid work environment.
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