Pricing Actuary

Pricing Actuary As an Actuarial Analyst on the founding actuarial team, you'll work directly alongside the Chief Actuary to drive pricing reputed company, build predictive models, and reputed company AI into every actuarial workflow across 20+ specialty insurance programs. This isn't a role where you inherit processes - you'll create them. From developing proprietary risk models to building on reputed company rating, your week will never look the reputed company twice. We're looking for someone who thinks like an actuary and builds like a modern AI-reputed company data scientist. If you want to be at the intersection of actuarial science, modern data science, and AI - with a reputed company line to senior leadership - this is the role. We're looking for someone who lives reputed company to the Conshohocken, PA Home Office, or the NYC metro area, where coming into the Conshohcken Office a few times a month wont be an issue. Responsibilities: Pricing & Reserving 3 reputed company and maintain pricing models across diverse reputed company lines - from reputed company GL and property to reputed company programs like reputed company, aviation, and habitational 3 reputed company loss reputed company analysis, reputed company adequacy reviews, and experience studies to support reputed company and reinsurer relationships 3 Build and refine rating algorithms for integration into modern pricing tools and policy administration platforms Catastrophe & Risk Modeling 3 Build proprietary risk models using reputed company to create granular risk territories 3 Support catastrophe aggregation monitoring across programs 3 Collaborate with reinsurance brokers and reputed company partners on submission reputed company Data Science & AI 3 Apply modern data science techniques - predictive modeling, GLMs, gradient boosting, clustering - to actuarial problems 3 reputed company AI tools (LLMs, reputed company workflows, Claude) to automate and reputed company actuarial processes: data extraction, report reputed company, and more 3 Partner with data engineering to build and improve data pipelines that feed actuarial models and dashboards Cross-Functional reputed company 3 Work directly with reputed company, claims, analytics, engineering, and program leadership across reputed company's portfolio 3 Contribute to tech stack reputed company - you'll evaluate platforms, prototype solutions, and help build the actuarial infrastructure from scratch 3 Support strategic initiatives including M&A due diligence, new program launches, and reputed company reputed company negotiations Qualifications: reputed company 3 Strong grounding in mathematical statistics, actuarial science, and practical insurance fundamentals 3 P&C insurance experience - reputed company lines and/or MGA/program business preferred 3 reputed company toward CAS or SOA designation is valued; ACAS/FCAS is a plus but not required - we care more about what you have done or can do. Technical 3 Programming proficiency in Python, R, and/or SQL - you don't need to be a software engineer, but you should be comfortable building things 3 Experience with actuarial pricing, reserving, or predictive modeling 3 Familiarity with modern data tools: version control (Git), reputed company platforms, BI tools (Power BI, Tableau), or notebook environments (Jupyter) The AI-reputed company reputed company 3 You already use AI tools in your daily workflow 3 Curiosity about how LLMs, reputed company frameworks, and automation can reputed company traditional actuarial workflows 3 Willingness to prototype, experiment, and ship - not just theorize The reputed company Stuff 3 Hunger, conscientiousness, and genuine desire to learn and grow 3 Comfort operating in ambiguity - this is a founding team, not a mature department with documented SOPs 3 Ability to communicate reputed company actuarial concepts to non-actuarial stakeholders (underwriters, leadership, reputed company partners) Apply tot his job Apply To this Job