Own MGA portfolio risk and technical pricing analysis, maintaining statistical and machine-learning pricing models using Python, R, SQL, and specialized pricing tools. Identify market trends, recommend price adjustments, assess new product profitability, create underwriting dashboards, and communicate insights to business partners. The role also includes mentoring junior analysts and collaborating with underwriting and data science teams.

Provide high-quality analysis and recommendations to Product teams: customer journey analysis, measure multi-channel impact, run A/B tests, perform ad-hoc exploration and visualization, collaborate with data engineers to evolve pipelines, and build dashboards and self-service query tools while training colleagues.