Teams at Ki Insurance

Secure AI-powered applications and agentic systems across the software development lifecycle. Lead threat modeling, establish cloud-native security guardrails, manage SCA/SAST/DAST testing, coordinate penetration testing and vulnerability triage, and improve cloud security posture across GCP and Azure. Automate security infrastructure with code, mentor engineering teams, facilitate Security Champions, deliver AI tooling safety training, and advise on architecture and technical security decisions.

Develop and maintain scalable algorithmic insurance pricing models that combine actuarial science, machine learning, and specialty underwriting expertise. Responsibilities include model calibration, monitoring pricing metrics, exploring datasets and modeling approaches, supporting validation and stress testing, ensuring regulatory and commercial compliance, and contributing to the product roadmap. The role collaborates with underwriting, product, engineering, and data science teams while mentoring colleagues and communicating actuarial concepts across the business.

Analyze and improve actuarial data quality, reliability, governance, and reporting across Pricing, Reserving, and Portfolio Management. Investigate data issues, bugs, and business impacts; support pricing and portfolio reviews; identify data gaps; and provide actionable insights for commercial decisions. The role requires translating complex findings for technical and non-technical stakeholders while partnering with data teams and actuarial functions to improve analytical processes and digital underwriting capabilities.