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.
Quantitative Analyst - Financial Modeling
Posted 17 days ago
Job Viewed
Job Description
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.
Lead Quantitative Analyst - Financial Modeling
Posted 22 days ago
Job Viewed
Job Description
Senior Quantitative Analyst, Financial Modeling
Posted 20 days ago
Job Viewed
Job Description
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.
Remote Lead Quantitative Analyst - Financial Modeling
Posted 6 days ago
Job Viewed
Job Description
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.
Lead Quantitative Analyst - Financial Modeling (Remote)
Posted 14 days ago
Job Viewed
Job Description
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.
Remote Senior Quantitative Analyst - Financial Modeling
Posted 19 days ago
Job Viewed
Job Description
Be The First To Know
About the latest Financial analysis Jobs in Kenya !
Senior Remote Quantitative Analyst (Financial Modeling)
Posted 7 days ago
Job Viewed
Job Description
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.
Senior Quantitative Analyst - Financial Modeling (Remote)
Posted 22 days ago
Job Viewed
Job Description
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.
Senior Actuarial Analyst - Financial Modeling
Posted 7 days ago
Job Viewed
Job Description
- 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.