772 Senior Real Estate Investment Analyst Emerging Markets jobs in Kenya

• Conduct in-depth market research and analysis to identify attractive real estate investment opportunities in emerging markets.
• Develop complex financial models (DCF, IRR, ROI) to evaluate property valuations, project feasibility, and investment returns.
• Perform comprehensive due diligence on potential acquisitions, including property inspections, legal reviews, and environmental assessments.
• Prepare detailed investment memorandums and presentations for senior management and investment committees.
• Manage relationships with brokers, developers, lenders, and other stakeholders in a remote capacity.
• Monitor existing portfolio performance and recommend strategies for optimization and value enhancement.
• Stay current with market trends, economic indicators, and regulatory changes affecting the real estate sector.
• Collaborate effectively with internal teams, including legal, finance, and asset management.
• Contribute to the development and refinement of the firm's investment strategy.

• Bachelor's degree in Finance, Economics, Real Estate, or a related field; MBA or Master's in Finance is a plus.
• Minimum of 6 years of experience in real estate investment analysis, acquisitions, or corporate finance, with a focus on emerging markets.
• Proven expertise in financial modeling, valuation techniques, and investment underwriting.
• Strong understanding of real estate market dynamics, property types, and transaction processes.
• Excellent analytical, quantitative, and problem-solving skills.
• Proficiency in MS Excel, PowerPoint, and real estate analytics software.
• Exceptional written and verbal communication skills, with the ability to present complex information clearly and concisely in a remote environment.
• Ability to work independently, manage multiple projects simultaneously, and meet tight deadlines.
• Demonstrated ability to work effectively in a distributed team setting.

• Develop and maintain complex financial models for M&A, LBOs, IPOs, and general corporate finance purposes.
• Perform detailed valuation analyses using various methodologies (DCF, Comps, Precedents).
• Construct integrated three-statement financial models with robust forecasting capabilities.
• Conduct sensitivity analysis, scenario planning, and Monte Carlo simulations.
• Assist in the preparation of client presentations, pitch books, and investment banking marketing materials.
• Analyze financial statements, industry data, and market trends to support transaction analysis.
• Collaborate closely with investment banking teams on deal execution and client advisory.
• Ensure accuracy, integrity, and reasonableness of all financial models and outputs.
• Stay abreast of market developments and evolving financial modeling best practices.
• Provide quantitative support for due diligence processes.

• Bachelor's degree in Finance, Economics, Accounting, or a related quantitative field. MBA or CFA designation is a plus.
• Minimum of 5 years of experience in financial modeling, preferably within investment banking, corporate finance, private equity, or consulting.
• Expert proficiency in Microsoft Excel, including advanced functions, VBA, and data visualization techniques.
• Strong understanding of financial accounting principles and financial statement analysis.
• Excellent analytical, quantitative, and problem-solving skills.
• Superb attention to detail and commitment to accuracy.
• Outstanding written and verbal communication skills, with the ability to present complex financial information effectively.
• Ability to work independently, manage multiple priorities, and meet tight deadlines in a remote setting.

• 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.

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, 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.

• 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.

• Design, develop, test, and deploy complex quantitative models for trading strategies, pricing derivatives, and managing risk.
• Perform in-depth statistical analysis and data mining on large financial datasets to identify trading opportunities and market inefficiencies.
• Collaborate with portfolio managers and traders to understand their needs and translate them into quantitative solutions.
• Develop and maintain real-time risk management systems and metrics.
• Conduct back-testing and performance analysis of trading algorithms and models.
• Contribute to the research and development of new financial products and strategies.
• Utilize advanced statistical techniques, machine learning algorithms, and optimization methods.
• Present complex analytical findings to non-technical stakeholders in a clear and concise manner.
• Ensure the accuracy, reliability, and efficiency of all quantitative models and systems.
• Stay abreast of the latest research and developments in quantitative finance and financial technology.

• Advanced degree (Master's or Ph.D.) in a quantitative discipline such as Financial Engineering, Mathematics, Physics, Statistics, Computer Science, or Economics from a top-tier university.
• A minimum of 5 years of relevant experience in quantitative analysis, financial modeling, or algorithmic trading within the financial industry.
• Proven expertise in developing and implementing quantitative models in areas like derivatives pricing, risk management, or asset allocation.
• Strong programming skills in languages such as Python, R, C++, or Java, with experience in relevant libraries (e.g., NumPy, Pandas, SciPy).
• Proficiency in SQL and experience working with large datasets.
• Solid understanding of financial markets, instruments, and trading strategies.
• Experience with machine learning techniques and their application in finance is a significant plus.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills, with the ability to articulate complex ideas effectively.
• Ability to work independently and manage projects in a remote, fast-paced environment.