What Jobs are available for Financial Statements in Kenya?

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 statistical models and machine learning algorithms to solve complex financial problems.
• Analyze large, structured and unstructured datasets to identify trends, patterns, and insights related to financial markets, customer behavior, and risk management.
• Develop and maintain predictive models for areas such as credit scoring, fraud detection, market forecasting, and customer lifetime value.
• Collaborate with business stakeholders to understand their challenges and translate them into data science problems.
• Clean, transform, and prepare data for modeling and analysis.
• Perform A/B testing and evaluate the performance of implemented models.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
• Mentor and guide junior data scientists, fostering a culture of learning and innovation.
• Stay up-to-date with the latest research and advancements in data science, machine learning, and financial analytics.
• Ensure the ethical and responsible use of data in all analytical endeavors.
• Contribute to the development and maintenance of data science infrastructure and best practices.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Minimum of 6 years of professional experience in data science or quantitative analysis, with a strong emphasis on financial services.
• Proven expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
• Proficiency in Python or R, including relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas).
• Strong SQL skills for data extraction and manipulation.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is preferred.
• Deep understanding of financial markets, banking products, and risk management principles.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with the ability to convey complex ideas effectively.
• Demonstrated ability to work independently and collaboratively in a remote setting.

• Develop and maintain financial models for forecasting, budgeting, and long-range planning.
• Prepare monthly, quarterly, and annual financial reports, including P&L, balance sheet, and cash flow statements.
• Conduct variance analysis, investigating deviations from budget and forecast, and providing explanations.
• Analyze financial performance, identify key trends, and provide insights to senior management.
• Support the annual budgeting process, working collaboratively with department heads.
• Assist in the preparation of management presentations and board materials.
• Evaluate the financial impact of new business initiatives, investments, and strategic decisions.
• Perform ad-hoc financial analysis and modeling as required.
• Ensure accuracy and integrity of financial data and reporting.
• Monitor key financial metrics and KPIs, providing regular updates and recommendations.
• Develop and implement improvements to financial reporting processes and systems.
• Stay current with accounting principles, financial regulations, and industry best practices.
• Collaborate effectively with internal teams and external auditors.

• Bachelor's degree in Finance, Accounting, Economics, or a related field.
• Minimum of 5 years of progressive experience in financial analysis, corporate finance, or a similar role.
• Proven experience in financial modeling, forecasting, and budgeting.
• Strong understanding of accounting principles and financial statements.
• Proficiency in Microsoft Excel (advanced functions, pivot tables, modeling) and financial software (e.g., ERP systems, BI tools).
• Excellent analytical, quantitative, and problem-solving skills.
• Strong written and verbal communication skills, with the ability to present financial information effectively.
• Ability to work independently and manage multiple tasks in a remote environment.
• Attention to detail and commitment to accuracy.
• CFA or CPA designation is a plus.

• Conduct in-depth financial analysis, including variance analysis, trend analysis, and profitability analysis for various business units.
• Develop and maintain complex financial models for forecasting, budgeting, and long-term strategic planning.
• Prepare comprehensive financial reports, presentations, and dashboards for senior management and stakeholders.
• Analyze financial performance against budgets and forecasts, identifying key drivers and recommending corrective actions.
• Assist in the evaluation of new business initiatives, investment opportunities, and potential mergers or acquisitions.
• Monitor key financial metrics and KPIs, providing insights into financial health and operational efficiency.
• Collaborate with accounting teams to ensure accurate financial reporting and compliance.
• Support the annual budgeting process and periodic forecasting cycles.
• Identify opportunities for process improvements within the finance department to enhance efficiency and data integrity.
• Stay current with industry trends, regulatory changes, and best practices in financial analysis and banking.
• Provide financial guidance and support to other departments as needed.

• Bachelor's degree in Finance, Accounting, Economics, or a related quantitative field. A Master's degree or professional certification (e.g., CFA, CPA) is highly desirable.
• Minimum of 5-7 years of progressive experience in financial analysis, preferably within the banking or financial services sector.
• Proven expertise in financial modeling, forecasting, budgeting, and variance analysis.
• Strong understanding of financial statements and accounting principles.
• Proficiency in financial software, ERP systems, and advanced Microsoft Excel skills.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Strong communication and presentation skills, with the ability to explain complex financial information clearly.
• Ability to work independently, manage multiple priorities, and meet tight deadlines in a remote environment.
• Attention to detail and a commitment to accuracy.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.