Victoria Mumo

I am an actuarial analyst with hands-on experience building and maintaining financial and actuarial models that meet regulatory benchmarks. I combine strong Python and VBA programming skills with statistical modelling to streamline reporting and reduce manual errors.

At Wesleyan Financial Services I developed automated tools and produced data visualisations that informed Board-level decisions and improved team efficiency; I also investigated model performance and communicated findings to senior leadership. Previously, as a GI Underwriter I reduced portfolio risk exposure by analysing claims and policyholder data and improving data integrity for reserve calculations.

I excel at translating complex technical concepts for non-technical stakeholders, troubleshooting statistical discrepancies, and collaborating across functions to deliver actionable business solutions. My background includes postgraduate training in applied data science and an international masters in actuarial science.

I am adaptable to evolving regulatory demands, committed to accurate, data-driven decision making, and focused on delivering measurable improvements in efficiency and risk management.