Build, scale, and productize machine learning models and pipelines (data collection, normalization, training, tuning). Research and apply LLM/GenAI techniques (fine-tuning, RLHF, distillation), create apps and cloud-hosted deployments, maintain data update pipelines, manage ML ecosystem scaling, source supplementary datasets, and collaborate with (re)insurance domain experts to improve predictive models.

The Agentic Testing Manager will lead the QA function, modernize testing practices, and implement AI-driven automation in the software testing lifecycle.

Work within the Pricing team to price reinsurance treaties/certificates for casualty and professional liability, support underwriting decisions, perform portfolio analytics, profitability and reserving studies, parameter studies, client visits/audits, and ad-hoc actuarial projects.