What Jobs are available for Financial Data in Kenya?
Showing 928 Financial Data 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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Lead Financial Data Analyst
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Remote Financial Data Analyst
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Senior Financial Data Analyst - Remote
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Key Responsibilities:
- Collect, aggregate, and analyze large volumes of financial data from various sources.
- Develop and maintain financial models for forecasting, budgeting, and strategic planning.
- Identify trends, patterns, and anomalies in financial data to provide actionable insights.
- Prepare comprehensive financial reports, dashboards, and presentations for senior management and other stakeholders.
- Collaborate with accounting and finance teams to ensure data accuracy and integrity.
- Develop and implement data validation processes to maintain high-quality financial information.
- Utilize advanced statistical techniques and data visualization tools to communicate complex findings effectively.
- Monitor key financial performance indicators (KPIs) and provide regular updates.
- Support ad-hoc financial analysis requests from different departments.
- Stay abreast of financial regulations, accounting standards, and industry best practices.
- Recommend improvements to financial systems and processes based on data analysis.
- Bachelor's degree in Finance, Accounting, Economics, Data Science, or a related quantitative field. A Master's degree is a plus.
- Minimum of 6 years of experience in financial analysis, accounting, or a related role.
- Proven expertise in financial modeling, forecasting, and budgeting.
- Proficiency in data analysis tools such as Excel (advanced functions, VBA), SQL, Python, or R.
- Strong understanding of accounting principles and financial statements.
- Experience with business intelligence (BI) tools (e.g., Tableau, Power BI) for data visualization is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex financial concepts to non-financial audiences.
- Ability to work independently, manage multiple priorities, and meet deadlines in a remote setting.
- Experience with ERP systems (e.g., SAP, Oracle) is a plus.
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Senior Data Scientist - Financial Analytics
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Responsibilities:
- 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.
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Remote Lead Data Scientist, Financial Analytics
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Remote Financial Analyst - Investment Research
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Key Responsibilities:
- Perform comprehensive financial statement analysis for publicly traded and private companies.
- Develop and maintain financial models, including discounted cash flow (DCF), comparable company analysis, and precedent transactions.
- Conduct industry and market research to identify trends, opportunities, and risks.
- Prepare detailed investment research reports, presentations, and memos for senior management and investment committees.
- Evaluate the financial performance and potential of investment opportunities across various sectors.
- Monitor macroeconomic factors and their potential impact on investment portfolios.
- Assist in due diligence processes for potential acquisitions or investments.
- Collaborate with portfolio managers and other stakeholders to provide analytical support.
- Stay current with financial regulations, market developments, and valuation methodologies.
- Ensure accuracy and integrity of all financial data and analyses.
- Present findings and recommendations clearly and concisely.
Qualifications:
- Bachelor's degree in Finance, Economics, Accounting, or a related quantitative field.
- Proven experience as a Financial Analyst, Investment Analyst, or in a similar role within the banking or finance sector.
- Strong understanding of financial modeling, valuation techniques, and accounting principles.
- Proficiency in financial data analysis tools and software (e.g., Bloomberg Terminal, FactSet, Refinitiv Eikon).
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong written and verbal communication skills, with the ability to present complex financial information effectively.
- Ability to work independently, manage multiple projects, and meet deadlines in a remote setting.
- Experience with Python, R, or other statistical programming languages is a plus.
- CFA charterholder or candidate progressing towards CFA is highly desirable.
- High ethical standards and attention to detail.
This is a challenging and rewarding opportunity for a finance professional seeking a remote role with significant impact. You will be a key contributor to informed investment strategies and financial growth for our client. This position supports operations related to Mombasa, Mombasa, KE .
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Remote Real Estate Investment Analyst - Market Research
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Key responsibilities include analyzing property-level data, including rental income, operating expenses, and capital expenditures, to project cash flows and assess investment viability. You will research macroeconomic factors, local market conditions, and demographic trends that impact real estate values and rental demand. The analyst will prepare detailed investment memoranda, financial models (DCF, IRR, NPV), and presentations for senior management and investment committees. Conducting site visits (if feasible locally or delegating/utilizing virtual tours) and competitor analysis will also be part of the role. You will work closely with brokers, developers, and legal counsel to gather necessary information and support transaction processes. This position requires excellent analytical skills, proficiency in financial modeling software (e.g., Excel), and a keen eye for detail. The ability to work independently, manage multiple research projects concurrently, and meet tight deadlines in a remote setting is essential. Strong written and verbal communication skills are required to present findings and recommendations effectively. A Bachelor's degree in Finance, Economics, Real Estate, or a related quantitative field is required, along with 3-5 years of experience in real estate finance, investment analysis, or a related field. Experience with Argus Enterprise or similar valuation software is a plus. Familiarity with the Kenyan real estate market, particularly around **Bungoma, Bungoma, KE**, is advantageous. We are looking for a dedicated individual with a passion for real estate investment and a commitment to delivering insightful analysis.
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