Reinsurance Lead Actuary Responsibilities: Reinsurance Pricing & Portfolio • Own the actuarial pricing for SUI's casualty facultative book - experience and exposure rating, loss picks, and renewal assumptions - partnering closely with underwriters • Build the pricing and portfolio-steering framework for SUI's growth lines: property facultative, broker facilities, and casualty treaty • Perform loss ratio analysis, rate adequacy reviews, trend studies, and experience monitoring across the reinsurance book • Stand behind your numbers - explain methodologies, loss picks, and renewal outcomes to underwriters, cedents, brokers, and leadership Structuring & Growth • Help shape how SUI grows - from a single casualty fac program into a multi-line reinsurance platform - bringing the actuarial lens to new-line launches and facility design • Evaluate exposure, aggregation, and cat where it touches the book; support structuring and capacity decisions • Bring rigor to portfolio construction: which risks, at what price, at what attachment, for what return • Be comfortable marketing programs, updates and new initiatives to carrier partners Data Science & AI • Build SUI's data-science infrastructure from the ground up - the pipelines, the rating tools, the dashboards, the data architecture that the whole division will run on • Apply modern data science - predictive modeling, GLMs, gradient boosting, clustering - to reinsurance pricing and portfolio problems • Leverage AI tools (LLMs, agentic workflows, Claude) to automate and augment the work • Modernize legacy spreadsheet-driven workflows into something you'd actually be proud of Leadership & Cross-Functional Impact • Sit on the Chief Actuary's leadership team - your work and your judgment shape strategy, not just spreadsheets • Be the single actuarial point of contact for the reinsurance division: trusted, accountable, and visible • Work directly with underwriting, claims, data engineering, analytics, and leadership across Novacore • Contribute to tech-stack decisions - you'll evaluate platforms, prototype solutions, and build the reinsurance actuarial infrastructure Qualifications: Foundation • Strong grounding in mathematical statistics, actuarial science, and practical (re)insurance fundamentals • Reinsurance experience strongly preferred - treaty and/or facultative pricing, on the carrier, reinsurer, or broker side • P&C and commercial-lines background; casualty exposure a plus given where SUI starts • Progress toward CAS designation is valued; ACAS/FCAS is a plus but not required - we care more about what you can do than what letters follow your name Technical Chops • Programming proficiency in Python, R, and/or SQL - you don't need to be a software engineer, but you should be comfortable building things, not just running macros • Hands-on experience with experience rating, exposure rating, and reinsurance pricing tools (e.g. Aon Altair, MetaRisk, or homegrown equivalents) • Familiarity with modern data tools: version control (Git), cloud platforms, BI tools (Power BI, Tableau), or notebook environments (Jupyter) The AI-Native Mindset • You already use AI tools in your daily workflow - not because someone told you to, but because you can't imagine working without them • Curiosity about how LLMs, agentic frameworks, and automation can transform traditional reinsurance workflows • Willingness to prototype, experiment, and ship - not just theorize The Human Stuff • Hunger, conscientiousness, and a genuine desire to learn and grow into a leader • Comfort operating in ambiguity - this is a division being built, not a mature book with documented SOPs • Ability to communicate complex actuarial concepts to non-actuarial stakeholders - underwriters, cedents, brokers, leadership • The judgment and presence to own the actuarial voice in the room What You Won't Find in Most Reinsurance Actuary Postings • A division to build. SUI is a casualty fac program today with ambitions across property fac, broker facilities, and casualty treaty. You're not maintaining a book - you're growing one, with the actuarial canvas to paint on. • A seat at the table. This is a leadership-team role reporting directly to the Chief Actuary. No layers of middle management. Your work and your judgment shape strategy. • AI-first investment. We don't just talk about AI - we invest in tokens, tools, and time. You'll have the resources to actually build with AI, not just attend webinars about it. • Focus with a wide horizon. A dedicated remit on reinsurance, inside the broader actuarial strategy - deep enough to own, broad enough to never get stale. • Exam support. We'll support your credential journey. • A real path to leadership. Whether you step in as the lead or grow into it, this role is the actuarial home of the reinsurance division. • We'll have fun. Seriously. We're building something new and doing it with people who actually enjoy the work. You Might Be a Great Fit If... • You've priced treaty or facultative reinsurance - and can explain a loss pick to an underwriter and a broker in the same breath • You've built an experience- or exposure-rating tool in Python or R - not just run someone else's template • You've used Git for version control on an actuarial project (or at least wished your team did) • You've used an LLM to solve a real work problem - submission triage, data extraction, report drafting - and it changed how you think about your job • You've looked at a legacy spreadsheet pricing process and thought "I could rebuild this properly" • You read actuarial papers AND machine learning papers - and see the connections • You want to build a division, not just join one If even one of these resonate, we want to talk to you. Experience Range We're flexible here - the right person matters more than the exact resume. We'd love someone in the 5-10 year range with reinsurance pricing depth who can step straight into the lead seat. But we're equally open to an exceptional earlier-career actuary - strong technically, hungry, and ready - who grows into the lead. Tell us where you are and we'll build the role around the right person.