611 Lead Financial Analyst Risk Management jobs in Kenya

• Develop, implement, and refine financial risk management strategies and policies across the organization.
• Conduct in-depth analysis of financial data to identify, assess, and quantify various financial risks, including market risk, credit risk, operational risk, and liquidity risk.
• Build and maintain sophisticated financial models to forecast potential risk scenarios, stress test portfolios, and evaluate the impact of economic changes.
• Ensure compliance with all relevant financial regulations and reporting requirements (e.g., central bank guidelines).
• Prepare comprehensive risk assessment reports, providing clear insights and actionable recommendations to senior management and the board.
• Oversee the process of risk mitigation, working with relevant departments to implement control measures and contingency plans.
• Lead and mentor a team of financial analysts, providing guidance on analytical methodologies, project management, and professional development.
• Collaborate with internal and external auditors, regulators, and stakeholders to address risk-related inquiries and findings.
• Stay abreast of global financial market trends, economic indicators, and emerging risks, assessing their potential impact on the institution.
• Contribute to the strategic financial planning process by providing risk-based insights and recommendations.

• Master's degree in Finance, Economics, Mathematics, Statistics, or a related quantitative field.
• A minimum of 8 years of progressive experience in financial analysis, risk management, or a related area within the banking or financial services sector.
• Proven expertise in quantitative financial modeling, risk assessment techniques, and regulatory frameworks.
• Strong understanding of financial instruments, capital markets, and economic principles.
• Excellent analytical and problem-solving skills, with a meticulous attention to detail.
• Proficiency in financial modeling software, statistical analysis tools (e.g., R, Python), and database management.
• Exceptional written and verbal communication skills, with the ability to present complex financial information clearly and concisely to diverse audiences.
• Demonstrated leadership experience, with the ability to effectively manage and motivate a remote team.
• Professional certifications such as FRM, CFA, or PRM are highly desirable.
• Ability to work independently and take ownership of critical financial risk initiatives.

• Develop and implement robust quantitative models for risk measurement, pricing, and hedging.
• Validate model performance, conduct backtesting, and perform sensitivity analysis.
• Analyze large datasets to identify patterns, correlations, and potential risk drivers.
• Collaborate with business units to understand their risk exposures and modeling needs.
• Prepare detailed model documentation and present findings to senior management and regulatory authorities.
• Stay abreast of the latest advancements in financial engineering, econometrics, and risk management techniques.
• Mentor junior quantitative analysts and provide technical guidance.
• Contribute to the enhancement of the firm's risk management infrastructure and data analytics capabilities.
• Ensure compliance with internal policies and external regulations (e.g., Basel III/IV).
• Propose innovative solutions for complex risk challenges.

• Master's degree or Ph.D. in Finance, Economics, Mathematics, Statistics, Physics, or a related quantitative discipline.
• Minimum of 7 years of progressive experience in financial modeling and risk management.
• Expertise in statistical modeling, time series analysis, machine learning, and econometrics.
• Proficiency in programming languages such as Python, R, C++, or MATLAB.
• Strong knowledge of financial instruments, derivatives, and capital markets.
• Experience with data management and SQL databases.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation abilities, capable of conveying complex ideas to diverse audiences.
• Proven ability to work independently and manage projects effectively in a remote setting.
• Familiarity with regulatory frameworks and reporting requirements is highly advantageous.

• 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.