Director I, Catastrophe Modeling

🕒 Ontem

🌽 Illinois – Remoto

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💵 $116.000 - $145.000 / ano

⏰ Tempo Integral

🔴 Especialista

👔 Diretor

🦅 Patrocina Visto H1B

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👻 Score fantasma 0%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Ryan Specialty

1001 - 5000 funcionários

Fundada em 2010

💼 Consultoria

🏗️ Construção

🏥 Saúde

Consulting • Construction • Healthcare

A Ryan Specialty é uma empresa internacional de seguros especializados que oferece soluções inovadoras para corretores, agentes e seguradoras. A empresa oferece uma gama de serviços, incluindo corretagem no atacado, autoridade para vinculação e gestão de subscrição por meio de subscritores gerais altamente especializados. A Ryan Specialty é líder na indústria de corretagem no atacado, proporcionando expertise com conhecimento local e autoridade nacional. A empresa está comprometida em oferecer programas nacionais distintos e soluções alternativas de risco sob medida, apoiando seus clientes com serviços abrangentes de seguros.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

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