Actuarial Data Scientist with 3+ years in Credit Risk & Financial Due Diligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Actuarial Science graduate with 3+ years' experience in credit risk, insurance operations, and financial due diligence. Experienced in researching, validating, and synthesizing financial and client data to support evidence-based decisions and risk assessment. Strong analytical and reporting skills using Excel and R, with the ability to translate complex information into clear insights for decision-making.
Catholic University of Eastern Africa – Nairobi
Bachelor of Science · Actuarial Science
May 1, 2018 – October 1, 2024
CIC group
Bancassurance Officer
November 1, 2025 – Present
Nairobi, Nairobi, Kenya
Inuka Africa Microfinance Ltd
Loan Officer
June 1, 2024 – November 1, 2025
Ngong, Kajiado County, Kenya
National Hospital Insurance Fund (NHIF)
Intern
May 1, 2023 – May 1, 2024
Ngong, Kajiado County, Kenya
Modelling of Economic Capital for Life Insurance Companies in Kenya
January 1, 2022 – August 1, 2022
• Objective: Developed a quantitative framework to determine optimal solvency capital requirements against the market and underwriting risks. • Methodology: Simulated asset-liability portfolios using R Programming and Advanced Excel to compute Value at Risk (VaR) and Tail Value at Risk (TVaR). • Compliance: Aligned models with localized historical data and the Insurance Regulatory Authority (IRA) Risk-Based Capital guidelines.
Cultural Fit Analysis
The candidate's diverse experience across insurance, microfinance, and health insurance sectors, coupled with an academic project in actuarial science, indicates a broad interest in financial services and risk management. Their roles involve client interaction, cross-functional collaboration, and adherence to regulatory guidelines, suggesting a team-oriented and compliance-focused mindset. The target role of 'Actuarial Data Scientist' aligns well with their academic background and quantitative skills, although direct data science project experience is limited. The candidate's proactive approach to achieving sales targets and managing loan portfolios suggests a results-driven attitude.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through their professional experience descriptions and project details. Their roles as a Bancassurance Officer and Loan Officer indicate experience in client advisory, stakeholder liaison, and financial literacy training, suggesting good interpersonal and presentation skills. The project on economic capital modeling highlights problem-solving ability and attention to detail. The candidate's experience in diverse financial roles (insurance, microfinance, health insurance) suggests adaptability and a structured approach to operational tasks, including database management and financial reconciliation.