• Develop and implement solutions within the Insurance service line and in collaboration with other services lines • Work closely with Staff/Assistants, Consultants/Seniors, Managers, Senior Managers, or Client partners in EY’s global network • Support large scale engagements and deliver high-quality client solutions • Develop and maintain long-term relationships and networks • Build and energize a high performing team

• Develop, run, validate, and implement premium rating, reserving, and risk models for Sompo's agricultural insurance programs globally • Build satellite-based yield prediction models (NDVI/remote sensing) and product funding models in R to support pricing, funding, and risk selection • Lead and contribute to R&D predictive analytics projects that advance the team's modeling and risk-assessment capabilities • Perform actuarial pricing (experience and exposure rating), analyze program performance and loss costs, and assess capital requirements through stochastic and financial modeling • Support new product development and collaborate across underwriting, product, and analytics teams • Meet with external clients and partners, and perform other duties as assigned

• lead key pricing and analytics work within a cross-functional team • develop and monitor predictive models • evaluate rate adequacy across states and segments • lead rate indications and pricing studies to inform renewal strategy and multi-state price updates • assess retention, conversion, and price elasticity • conduct pre- and post-implementation impact analyses • recommend course corrections as needed • support data mapping, exploration and modeling projects • drive process improvements through data and automation • provide technical leadership through mentoring, governance, and clear communication to technical and non-technical stakeholders • present findings and recommendations to senior leadership

• Partner closely with Valuation, Assumptions, Accounting Policy, Pricing and Risk Management teams in the development of sustainable annuity projection models, compliant with emerging accounting and regulatory frameworks. • Implement processes, infrastructure and controls to ensure accurate and timely delivery of annuity projection models and results. • Examples of model development work include, but are not limited to: US GAAP including LDTI Life Statutory and Capital Economic Valuation and Economic Capital Implementing, quantifying and reviewing assumption and model updates. • Finance Modernization initiatives to improve processes, controls, and analytics. • Ensure compliance with company model architecture standards and change management governance processes