556 Remote Lead Investment Analyst jobs in Kenya
Remote Lead Investment Analyst
Posted 6 days ago
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Job Description
- Lead the quantitative and qualitative analysis of investment opportunities across equities, fixed income, alternative assets, and other financial instruments.
- Develop and maintain complex financial models for valuation, forecasting, and scenario analysis.
- Conduct thorough due diligence on potential investments, including market analysis, competitive landscape assessment, and financial health evaluation.
- Prepare detailed investment research reports, presentations, and memos for internal stakeholders and clients.
- Monitor portfolio performance and market developments, providing timely updates and strategic recommendations.
- Mentor and guide a team of junior investment analysts, fostering their professional development and ensuring analytical accuracy.
- Collaborate with portfolio managers and senior management to define investment strategies and objectives.
- Identify and assess investment risks, developing strategies for mitigation.
- Stay current with economic indicators, industry trends, and regulatory changes impacting investment markets.
- Present findings and recommendations clearly and concisely to diverse audiences.
Remote Lead Investment Analyst - Financial Markets
Posted 24 days ago
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Job Description
Key Responsibilities:
- Conduct comprehensive financial analysis of companies, industries, and macroeconomic trends.
- Develop and implement investment strategies and recommendations.
- Perform valuation analysis using various methodologies (e.g., DCF, multiples analysis).
- Assess investment risks and develop strategies for risk mitigation.
- Construct and manage investment portfolios, monitoring performance against benchmarks.
- Prepare detailed investment research reports, memos, and presentations.
- Stay abreast of market developments, economic indicators, and regulatory changes.
- Collaborate with portfolio managers and traders to execute investment strategies.
- Utilize financial modeling software and databases (e.g., Bloomberg, Refinitiv) effectively.
- Mentor junior analysts and contribute to the team's knowledge development.
- Ensure compliance with all relevant financial regulations and ethical standards.
The original location was Naivasha, Nakuru, KE . A Master's degree in Finance, Economics, or a related quantitative field is required. Professional certifications such as CFA (Chartered Financial Analyst) are highly desirable. Excellent communication, presentation, and interpersonal skills are essential for effectively liaising with stakeholders remotely.
Lead Remote Investment Analyst
Posted 8 days ago
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Lead Real Estate Investment Analyst - Remote Portfolio Management
Posted 24 days ago
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Job Description
Quantitative Analyst - Financial Modeling
Posted 19 days ago
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Job Description
Qualifications:
- 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.
Principal Quantitative Analyst (Financial Modeling)
Posted today
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Job Description
Key Responsibilities:
- Develop, implement, and maintain complex quantitative models for pricing, risk management, asset allocation, and portfolio optimization.
- Conduct rigorous statistical analysis and back-testing of trading strategies and financial instruments.
- Utilize advanced programming skills (e.g., Python, R, C++) to build and deploy quantitative models and tools.
- Collaborate with portfolio managers, traders, and risk managers to understand their needs and develop tailored quantitative solutions.
- Analyze large datasets to identify market trends, patterns, and potential trading opportunities.
- Ensure the accuracy, robustness, and efficiency of all quantitative models and systems.
- Stay abreast of the latest research and developments in quantitative finance, econometrics, and machine learning.
- Communicate complex quantitative concepts and model outputs clearly to both technical and non-technical audiences.
- Contribute to the development of best practices and standards for quantitative analysis within the firm.
- Perform ad-hoc quantitative analysis to support business decisions and address specific inquiries.
- Mentor junior quantitative analysts and provide technical guidance.
Qualifications:
- A Master's degree or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, Computer Science, or Financial Engineering.
- A minimum of 7 years of experience in quantitative analysis, financial modeling, or a related role within the financial services industry.
- Deep understanding of financial markets, derivatives, portfolio theory, and risk management principles.
- Advanced proficiency in statistical modeling, time series analysis, and econometrics.
- Expertise in programming languages commonly used in quantitative finance, such as Python (NumPy, SciPy, Pandas), R, C++, or MATLAB.
- Experience with machine learning techniques and their application in finance is a significant advantage.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex methodologies and results effectively.
- Ability to work independently and manage multiple projects concurrently in a remote environment.
- Experience with large-scale data processing and databases is desirable.
Lead Quantitative Analyst - Financial Modeling
Posted 24 days ago
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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.
Senior Quantitative Analyst, Financial Modeling
Posted 22 days ago
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Job Description
Key Responsibilities:
- Develop, implement, and maintain complex quantitative models for pricing derivatives, assessing market risk, and managing credit risk.
- Perform rigorous backtesting and validation of models to ensure accuracy and reliability.
- Analyze large datasets to identify trends, patterns, and insights that inform trading strategies and risk management decisions.
- Collaborate with traders, portfolio managers, and risk officers to understand their needs and provide quantitative solutions.
- Contribute to the development of new financial products and investment strategies through quantitative analysis.
- Stay abreast of regulatory changes and industry best practices in quantitative finance.
- Document model methodologies, assumptions, and results clearly and comprehensively.
- Communicate complex quantitative concepts to non-technical stakeholders effectively.
- Automate data analysis and reporting processes using programming languages.
Qualifications:
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, or Computer Science.
- Minimum of 5 years of experience in quantitative analysis, financial modeling, or a related role within the financial services industry.
- Expertise in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB.
- Strong understanding of stochastic calculus, probability theory, time series analysis, and statistical modeling.
- Experience with financial markets, instruments, and risk management techniques.
- Proficiency in data manipulation, statistical software, and database management.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present complex information clearly.
- Proven ability to work independently and as part of a remote team.
This is a challenging and rewarding opportunity for a top-tier quantitative professional to make a significant impact on the firm's trading and risk management capabilities in a flexible remote setting.
Lead Remote Quantitative Analyst - Financial Modeling
Posted 1 day ago
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