556 Lead Investment Analyst Remote jobs in Kenya
Lead Investment Analyst - Remote
Posted 16 days ago
Job Viewed
Job Description
Lead Real Estate Investment Analyst - Remote Portfolio Management
Posted 24 days ago
Job Viewed
Job Description
Lead Investment Banking Analyst (Remote)
Posted 24 days ago
Job Viewed
Job Description
Lead Quantitative Analyst - Investment Banking (Remote)
Posted 9 days ago
Job Viewed
Job Description
Key Responsibilities:
- Develop, test, and implement sophisticated quantitative models for pricing derivatives, fixed income securities, and other financial instruments.
- Design and build algorithms for market risk management, including VaR calculations, stress testing, and scenario analysis.
- Conduct empirical research to identify market inefficiencies and potential trading opportunities.
- Develop and optimize trading strategies based on quantitative insights and back-testing.
- Collaborate with front-office trading desks to provide real-time quantitative support and product development.
- Work with risk management and compliance teams to ensure models meet regulatory requirements and internal standards.
- Perform rigorous validation of existing and new models, assessing their accuracy and limitations.
- Develop and maintain high-quality code in languages such as Python, C++, or R for model implementation and data analysis.
- Stay abreast of the latest developments in quantitative finance, econometrics, and machine learning.
- Mentor and guide junior quantitative analysts, fostering technical expertise and best practices.
- Communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences.
- Contribute to the strategic direction of the quantitative research group.
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 7 years of experience in quantitative analysis, ideally within investment banking or asset management.
- Proven expertise in financial modeling, stochastic calculus, time series analysis, and statistical inference.
- Strong programming skills in Python, C++, or R, with experience in developing and deploying complex models.
- In-depth knowledge of financial markets, derivatives, and risk management principles.
- Experience with machine learning techniques applied to finance is a strong plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills.
- Ability to work independently and as part of a highly skilled remote team.
- Demonstrated ability to manage multiple projects and meet tight deadlines.
Quantitative Analyst - Financial Modeling
Posted 19 days ago
Job Viewed
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
Job Viewed
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
Job Viewed
Job Description
Be The First To Know
About the latest Lead investment analyst remote 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.
Senior Quantitative Analyst - Financial Modeling
Posted 24 days ago
Job Viewed
Job Description
Responsibilities:
- Develop, validate, and implement complex quantitative models for pricing, risk management, and valuation.
- Perform rigorous statistical analysis and back-testing of financial models.
- Conduct stress testing and scenario analysis to assess portfolio risk under various market conditions.
- Collaborate with traders, portfolio managers, and risk officers to understand business needs and translate them into quantitative solutions.
- Research and implement new analytical techniques and methodologies.
- Prepare comprehensive reports and presentations summarizing analytical findings for senior management.
- Ensure compliance with regulatory requirements and internal policies.
- Mentor junior analysts and contribute to the team's overall technical expertise.
- Maintain and enhance existing quantitative models and systems.
- Stay at the forefront of industry developments in quantitative finance and financial technology.
This is a remote-first position, offering the flexibility to work from any location. The ideal candidate will possess a strong academic background in a quantitative discipline, exceptional programming skills, and a deep understanding of financial markets and instruments. We are looking for an individual who can tackle challenging analytical problems with precision and creativity. Your ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences will be vital.
Qualifications:
- Master's or Ph.D. in Mathematics, Statistics, Physics, Economics, or a related quantitative field.
- Minimum of 5 years of relevant experience in quantitative finance or risk management.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong knowledge of financial markets, derivatives, and risk management techniques.
- Experience with statistical modeling, time series analysis, and econometrics.
- Familiarity with regulatory frameworks like Basel III or IFRS 9 is a plus.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong written and verbal communication skills.
- Ability to work independently and as part of a remote team.
- Demonstrated ability to manage complex analytical projects.
Lead Remote Quantitative Analyst - Financial Modeling
Posted 1 day ago
Job Viewed