Director I, Catastrophe Modeling

🔥 0 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $116k - $145k / year

⏰ Full Time

🔴 Lead

👔 Director

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Ryan Specialty

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

💼 Consulting

🏗️ Construction

🏥 Healthcare

Consulting • Construction • Healthcare

Ryan Specialty is an international specialty insurance firm that provides innovative solutions for brokers, agents, and insurance carriers. The company offers a range of services including wholesale brokerage, binding authority, and underwriting management through highly specialized managing general underwriters. Ryan Specialty is a leader in the wholesale brokerage industry, providing expertise with local knowledge and national authority. The firm is committed to delivering distinct national specialty programs and bespoke alternative risk solutions, supporting its clients with comprehensive insurance services.

📋 Description

• Build, manage, and mentor a team of catastrophe modeling analysts and technical/automation developers • Mentor and train portfolio modeling managers and establish consistent technical standards • Set the technical roadmap and priorities for catastrophe modeling, data engineering, and reporting tooling • Translate model output into underwriting guidance and appetite decisions • Represent catastrophe risk analytics in executive and reinsurance discussions, including catastrophe event response briefings • Coordinate Analyze Re-related portfolio rollups and ensure accurate aggregation across books of business • Oversee delivery of portfolio and modeling outputs to external carriers and reinsurance partners • Align rollup structures and delivery cadence with treaty and program needs • Lead research initiatives in advanced catastrophe analytics, including secondary uncertainty, model blending, and climate-adjusted risk views • Evaluate emerging modeling science, vendor model updates, and academic/industry research • Partner with Capital Management, Pricing, Reserving, and Data Engineering • Standardize handoffs and data contracts between catastrophe modeling and partner teams • Own RMS and AIR vendor and platform strategy, including licensing, upgrades, and roadmap decisions • Evaluate tools and vendors for perils, models, and IT infrastructure • Build business cases for new tooling or vendor changes • Oversee RMS and AIR catastrophe modeling across multiple lines of business • Direct production of PML, AAL, exposed limits, EP curves, and tail-risk/TVaR metrics • Set standards for exposure data preparation, validation, and cleansing • Lead catastrophe event response and produce exposure summaries and loss estimates • Direct ETL and data pipelines ingesting and normalizing exposure data to RMS/AIR standards • Oversee automated AIR/RMS workflow utilities and reusable reporting assets using SQL, Python, R, and Excel/VBA • Champion Azure Databricks and cloud-based analytics using PySpark and Delta Lake • Ensure data quality controls, QA dashboards, and documentation/SOPs are maintained

🎯 Requirements

• 8+ years of progressive experience in catastrophe modeling, portfolio risk analytics, or cat-modeling-adjacent data engineering • Prior people leadership or team-lead experience managing modeling professionals or managers • Deep hands-on proficiency in RMS and/or AIR Touchstone, including exposure preparation, batch processing, results extraction, and interpretation of EP curves and loss tables • Strong SQL skills • Experience directing or building automation with Python, R, VBA, and/or Alteryx • Track record of translating catastrophe model output into underwriting or portfolio management decisions • Ability to lead teams through real-time catastrophe event response • Experience coordinating portfolio rollups and external deliverables to carriers or reinsurance partners • Experience partnering with Capital Management, Pricing, Reserving, or Data Engineering • Excellent communication skills and experience presenting technical analysis to underwriting and executive stakeholders • Experience with Analyze Re or comparable portfolio roll-up/aggregation platforms preferred • Experience with Azure Databricks, PySpark, and Delta Lake/data lakehouse patterns preferred • Knowledge of reinsurance structures and portfolio risk metrics such as PML, AAL, and TVaR preferred • Familiarity with geospatial data handling and mapping, including geopandas, shapefiles, and spatial joins preferred • Experience with Git and SDLC practices preferred • Prior experience leading vendor evaluations preferred • Background in or exposure to applied research within catastrophe modeling or a related quantitative discipline preferred

🏖️ Benefits

• Paid company holidays • Vacation days • Sick days • Personal days • Paid parental leave • Mental health services • Bonuses for full-time roles • Benefits for full-time roles • Reasonable accommodations for individuals with disabilities