Top Tech Jobs & Startup Jobs in NYC, NY

Leads the strategy, technical direction, and delivery of insurance data science across pricing, underwriting, cost modeling, demand modeling, and growth. Oversees predictive modeling standards, model lifecycle governance, engineering collaboration, regulatory alignment, and production deployment. Builds and develops a high-performing data science organization while partnering with actuarial, product, underwriting, pricing, and executive leadership to connect analytical work with profitability and business outcomes.

Lead advanced analytics for countrywide insurance product programs: build dashboards and monitoring frameworks, conduct deep-dive analyses and predictive modeling, identify systemic process and data gaps, partner with product and cross-functional teams, and influence strategic decisions to improve growth, retention, and profitability.

Support product development and pricing by building rating models, expanding product analytics, producing actuarial deliverables (rate indications, reinsurance analysis, loss modeling), operationalizing insights, designing analytical frameworks, and integrating automated processes and monitoring tools to scale actuarial capabilities.

Design, build, test, and maintain backend services and APIs powering the insurance platform. Integrate payments, documents, and data providers, improve system stability, performance, and scalability, mentor team members, and participate in architectural decisions and agile ceremonies.

Own state-level strategy and market performance for assigned regions, manage state filing and DOI relationships, collaborate with Technology and Operations on launches and rate reviews, analyze KPIs and profitability drivers, develop strategic recommendations and cost-benefit analyses, gather field market feedback, and contribute to product development, data evaluations, and competitive intelligence for homeowners/P&C insurance products.