686 Financial Modeling jobs in Kenya

• Develop, validate, and implement complex quantitative models for pricing, risk management, and valuation.
• Perform rigorous statistical analysis and back-testing of financial models.
• Conduct stress testing and scenario analysis to assess portfolio risk under various market conditions.
• Collaborate with traders, portfolio managers, and risk officers to understand business needs and translate them into quantitative solutions.
• Research and implement new analytical techniques and methodologies.
• Prepare comprehensive reports and presentations summarizing analytical findings for senior management.
• Ensure compliance with regulatory requirements and internal policies.
• Mentor junior analysts and contribute to the team's overall technical expertise.
• Maintain and enhance existing quantitative models and systems.
• Stay at the forefront of industry developments in quantitative finance and financial technology.

• Master's or Ph.D. in Mathematics, Statistics, Physics, Economics, or a related quantitative field.
• Minimum of 5 years of relevant experience in quantitative finance or risk management.
• Proficiency in programming languages such as Python, R, C++, or MATLAB.
• Strong knowledge of financial markets, derivatives, and risk management techniques.
• Experience with statistical modeling, time series analysis, and econometrics.
• Familiarity with regulatory frameworks like Basel III or IFRS 9 is a plus.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong written and verbal communication skills.
• Ability to work independently and as part of a remote team.
• Demonstrated ability to manage complex analytical projects.

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.

• 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.

• Develop, implement, and maintain sophisticated quantitative models for financial markets.
• Conduct complex statistical analysis and data mining to identify market trends and opportunities.
• Design and validate models for asset pricing, risk management, and portfolio optimization.
• Collaborate with traders, portfolio managers, and risk officers to provide data-driven insights.
• Translate complex quantitative findings into actionable recommendations for business stakeholders.
• Develop and implement back-testing and performance evaluation methodologies.
• Mentor and guide junior quantitative analysts and researchers.
• Contribute to the firm's research and development of new quantitative strategies.
• Ensure the accuracy, integrity, and robustness of all developed models.
• Stay abreast of advancements in quantitative finance, econometrics, and computational methods.

• Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
• Minimum of 8 years of progressive experience in quantitative analysis within the financial services industry.
• Proven expertise in developing and implementing complex financial models.
• Strong programming skills in languages such as Python, R, C++, or Java.
• Proficiency with statistical modeling techniques, machine learning algorithms, and econometrics.
• Deep understanding of financial markets, derivatives, and risk management principles.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Strong communication and presentation skills, with the ability to explain complex concepts clearly.
• Demonstrated ability to work independently and as part of a remote team.
• Experience with large-scale data processing and database management is a plus.

• 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.