About
Goabaone Sehurutshe
Actuarial Analytics Engineer at The Fidelis Partnership, working where actuarial science meets software and data engineering.
What I do
I build the actuarial data products, pipelines and internal tools that pricing, reserving and underwriting teams in the London specialty market rely on. Day to day that means designing ETL pipelines in Python and SQL, developing FastAPI services that deliver analytics to the business, monitoring rate change across lines, and making sure the data behind every decision is validated, reconciled and tested.
Before moving into my current role in 2026, I spent two years as a Portfolio Analytics Analyst supporting Marine, Aviation, Space, Political Risk and Structured Credit. I migrated and optimised pricing models on Hx Renew, productionised the Realistic Disaster Scenario pipeline behind quarterly exposure reporting, moved reserving and triangle data onto Microsoft Fabric, and built an analytics API that underwriters use directly from Excel.
How I work
I care about turning manual, fragile processes into reliable systems: clear data models, automated tests, code review and CI/CD applied to actuarial work. The goal is simple: give actuaries and underwriters numbers they can trust, delivered where they already work, so their time goes on judgement rather than wrangling spreadsheets.
Background
I hold a BSc in Actuarial Science from the London School of Economics and an MSc in Data Science from Heriot-Watt University, where my dissertation examined the languages of mathematics through the Lean theorem prover (82%, Grade A). I've passed seven Institute and Faculty of Actuaries exams, am a Graduate Statistician with the Royal Statistical Society, and hold Hyperexponential's Hx Core Model Developer and Model Optimisation Specialist certifications.
I grew up in Botswana and have been based in London since university. Teaching has always been part of the picture, from coaching a national-level school STEM quiz team at home to peer tutoring accounting at LSE, and I still enjoy explaining technical ideas clearly, which is a big part of why I write here.
Want the detail? See my experience, or get in touch.