2,674 Senior Real Estate Portfolio Analyst Remote jobs in Kenya

• Conducting comprehensive financial analysis and feasibility studies for potential real estate acquisitions.
• Developing sophisticated financial models (e.g., DCF, LTV, IRR) to evaluate investment returns and risks.
• Performing market research and analysis to identify emerging trends, opportunities, and competitive landscapes.
• Monitoring and analyzing the performance of the existing real estate portfolio, identifying areas for optimization.
• Preparing detailed investment reports, presentations, and recommendations for senior investment committees.
• Conducting thorough due diligence on properties, including site visits (as required by the role, potentially involving travel), legal review, and environmental assessments.
• Collaborating with legal, finance, and asset management teams to structure and execute transactions.
• Building and maintaining relationships with brokers, developers, and other industry stakeholders.
• Staying current with real estate market dynamics, economic indicators, and regulatory changes.
• Contributing to the development and refinement of investment strategies and asset allocation.

• Bachelor's degree in Finance, Economics, Real Estate, or a related quantitative field. A Master's degree or MBA is preferred.
• Minimum of 6 years of experience in real estate investment analysis, financial modeling, or a related field.
• Proven expertise in real estate valuation methodologies and financial statement analysis.
• Advanced proficiency in Microsoft Excel for financial modeling and data analysis.
• Familiarity with real estate databases and market research tools (e.g., CoStar, Bloomberg).
• Strong understanding of real estate capital markets, debt financing, and equity structures.
• Exceptional analytical, critical thinking, and problem-solving skills.
• Excellent written and verbal communication skills, with the ability to present complex information clearly.
• Highly organized, detail-oriented, and capable of managing multiple projects simultaneously in a remote setting.
• Experience with Argus Enterprise software is a strong plus.

• Analyze the financial performance of real estate assets within the portfolio, including income, expenses, and ROI.
• Conduct market research and analysis to identify trends, opportunities, and potential risks.
• Develop financial models for property valuations, investment analysis, and development feasibility studies.
• Monitor portfolio performance against established benchmarks and strategic objectives.
• Prepare detailed reports on portfolio performance, market conditions, and investment recommendations for senior management.
• Assist in the evaluation of potential acquisitions and dispositions.
• Analyze lease agreements and tenant data to assess risk and optimize lease terms.
• Track key performance indicators (KPIs) related to occupancy, rental income, and asset value.
• Collaborate with internal teams (acquisitions, asset management, leasing) to provide analytical support.
• Stay informed about macroeconomic factors and real estate market dynamics that may impact the portfolio.
• Utilize real estate databases and financial software for data management and analysis.

• Bachelor's degree in Finance, Economics, Real Estate, Business Administration, or a related field.
• Minimum of 3 years of experience in real estate analysis, investment, or asset management.
• Strong understanding of real estate finance, valuation methods, and market analysis techniques.
• Proficiency in financial modeling, Excel, and real estate data platforms (e.g., CoStar, Argus).
• Excellent analytical, quantitative, and problem-solving skills.
• Strong written and verbal communication skills, with the ability to present complex information clearly.
• Ability to work independently, manage multiple projects, and meet deadlines in a remote setting.
• Detail-oriented with a commitment to accuracy.
• Familiarity with different real estate asset classes (e.g., commercial, residential, industrial) is a plus.
• Proactive and eager to contribute to strategic decision-making.

• 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.

• Design, develop, backtest, and implement sophisticated quantitative models for pricing derivatives, assessing risk, and optimizing trading strategies.
• Analyze large datasets to identify market trends, correlations, and opportunities.
• Collaborate closely with traders, portfolio managers, and risk managers in a remote setting to understand their needs and develop tailored solutions.
• Ensure the accuracy, robustness, and regulatory compliance of all developed models.
• Perform rigorous validation of models, including sensitivity analysis and stress testing.
• Develop and maintain high-quality code in languages such as Python, R, C++, or similar.
• Contribute to the firm's research efforts and stay current with advancements in quantitative finance and financial engineering.
• Prepare detailed documentation of models, methodologies, and results for both technical and non-technical audiences.
• Monitor the performance of implemented models and propose necessary adjustments or enhancements.
• Communicate complex quantitative concepts clearly and concisely to stakeholders.
• Mentor junior quantitative analysts and contribute to the team's knowledge base.

• Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Economics.
• Minimum of 7 years of experience in quantitative analysis within the financial industry, with a focus on modeling.
• Proven expertise in developing and implementing models for pricing, risk management, or algorithmic trading.
• Strong programming skills in Python, R, C++, or Java, with experience in relevant scientific libraries.
• Deep understanding of financial markets, asset classes (equities, fixed income, derivatives), and trading strategies.
• Excellent analytical, statistical, and problem-solving skills.
• Exceptional communication and interpersonal skills, with the ability to articulate complex quantitative concepts effectively in a remote environment.
• Experience with large-scale data analysis and database technologies.
• Familiarity with regulatory requirements in the financial sector (e.g., Basel Accords) is a plus.
• Ability to work independently and collaboratively in a fast-paced, fully remote setting.

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.

• 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.