Senior Director Catastrophe Risk

Posted 3 Days Ago
Be an Early Applicant
3 Locations
In-Office
140K-175K Annually
Senior level
Insurance
The Role
Leads catastrophe risk analytics for alternative risk transfer programs, managing modeling teams, RMS/AIR workflows, portfolio rollups, pricing, event response, vendor strategy, and data automation. Translates catastrophe model outputs into underwriting and reinsurance decisions while overseeing ETL pipelines, exposure data quality, advanced analytics, reporting, and cloud modernization using Azure Databricks and related technologies.
Summary Generated by Built In

Position Summary

The Senior Director of Catastrophe Modeling leads catastrophe risk analytics for Ryan Alternative Risks, an Alternative Risk Transfer (ART) organization built around parametric structures, facultative and treaty reinsurance, and multi-year contracts. This is a distinct discipline from traditional portfolio cat modeling, and the role offers an experienced modeler the chance to apply deep technical skill to novel, structurally complex risk. The Senior Director sits at the intersection of modeling science, data engineering, and underwriting strategy, owning both the technical execution of cat modeling (RMS, AIR) and the tooling, pipelines, and automation that make that modeling fast, accurate, and scalable — while building and managing the team that delivers it. The Senior Director translates portfolio-level model output into underwriting guidance, sets technical standards for the function, and represents catastrophe risk analytics to underwriting and executive leadership.

What will your job entail?

What You’ll Do

Team & Strategic Leadership

  • Build, manage, and mentor a team blending catastrophe modeling analysts and technical/automation developers.
  • Mentor, guide, and train portfolio modeling managers across the team, building bench strength and consistent technical standards for the broader cat modeling function.
  • Set the technical roadmap and priorities for cat modeling, data engineering, and reporting tooling in support of Ryan Alternative Risks.
  • Serve as the primary bridge between catastrophe modeling analytics and underwriting leadership, translating model output into underwriting guidance and appetite decisions.
  • Represent catastrophe risk analytics in executive and reinsurance discussions, including cat event response briefings.
  • Champion Ryan Alternative Risks' Alternative Risk Transfer (ART) mandate — building the team's fluency in parametric, facultative, and treaty reinsurance, and multi-year contract structures as a core differentiator of the function.

Alternative Risk Transfer (ART) Pricing & Structuring

  • Maintain and grow pricing capability across the full range of ART structures — parametric triggers, facultative and treaty reinsurance, and multi-year contracts — in support of Ryan Alternative Risks' underwriting strategy.
  • Apply catastrophe model output to structure and price these ART instruments, ensuring alignment between modeled risk, contract terms, and multi-year risk horizons.
  • Advise underwriting on the catastrophe risk implications of parametric trigger design, facultative attachment points, and multi-year rate adequacy.

Portfolio Rollups & External Delivery

  • Coordinate Analyze Re-related portfolio rollups, ensuring consistent, accurate aggregation across books of business.
  • Oversee delivery of portfolio and modeling outputs to external carriers and reinsurance partners, ensuring accuracy, timeliness, and consistency of format.
  • Partner with reinsurance and ceded-re contacts to align rollup structures and delivery cadence with treaty, facultative, and multi-year program needs.

Research & Advanced Analytics

  • Lead research initiatives that extend advanced analytics capabilities within the catastrophe modeling domain (e.g., secondary uncertainty, model blending, climate-adjusted view of risk).
  • Evaluate emerging modeling science, vendor model updates, and academic/industry research for applicability to the portfolio.
  • Champion a culture of continuous improvement, piloting new methods and tools ahead of enterprise-wide adoption.

Vendor & Tooling Engagement

  • Own vendor and platform strategy for RMS and AIR, including licensing, upgrades, and platform roadmap decisions.
  • Lead evaluation and assessment of tools and vendors for specific perils, models, and IT infrastructure, including Analyze Re and emerging modeling platforms.
  • Build the business case for new tooling or vendor changes, balancing analytical capability, cost, and infrastructure fit.

Modeling & Portfolio Analytics

  • Oversee catastrophe modeling using RMS and AIR across multiple lines of business, ensuring quality and consistency of account, portfolio, and reinsurance-layer analyses.
  • Direct the production of portfolio-level metrics — PML, AAL, exposed limits, EP curves (OEP/AEP), and tail-risk/TVaR measures — used in underwriting and reinsurance decisions.
  • Set standards for exposure data preparation, validation, and cleansing prior to model runs.
  • Lead catastrophe event response for the underwriting organization, ensuring rapid, accurate exposure summaries and loss estimates.

Data Engineering, Tooling & Automation

  • Direct the design of ETL pipelines and data pipelines that ingest and normalize exposure data (policy schedules, CRE, shapefiles) to RMS/AIR data standards.
  • Oversee development of automated AIR/RMS workflow utilities (imports/exports, batch runs, result extraction, QA checks) and reusable reporting assets in SQL, Python, R, and Excel/VBA.
  • Champion adoption of Azure Databricks and cloud-based analytics (PySpark, Delta Lake) as the future-state platform for modeling data and results.
  • Ensure data quality controls, QA dashboards, and documentation/SOPs are in place and consistently followed across the team.
Tech Stack
  • Modeling Platforms: RMS (Risk Modeler, Underwrite IQ), AIR (Touchstone), and Analyze Re for portfolio rollups.
  • Languages & Tools: SQL, Python, R, VBA, Alteryx (Designer and Server).
  • Data: Exposure schedules, shapefiles, ELTs/EDMs, event results, and ART contract structures (parametric triggers, facultative and treaty terms, multi-year programs).
  • Cloud: Azure Databricks, Azure Data Lake/Blob, Delta Lake (strongly preferred).
Qualifications

Required

  • 8+ years of progressive experience in catastrophe modeling, portfolio risk analytics, or cat-modeling-adjacent data engineering, including prior people leadership or team-lead experience managing other modeling professionals or managers.
  • Deep hands-on proficiency in RMS and/or AIR Touchstone — exposure preparation, batch processing, results extraction, and interpretation of EP curves and loss tables.
  • Strong SQL skills and demonstrated 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.
  • Proven ability to lead teams through real-time catastrophe event response.
  • Experience coordinating portfolio rollups and external deliverables to carriers or reinsurance partners.
  • Demonstrated experience partnering cross-functionally with groups such as Capital Management, Pricing, Reserving, or Data Engineering.
  • Excellent communication skills, with experience presenting technical analysis to underwriting and executive stakeholders.
  • Experience pricing or modeling Alternative Risk Transfer (ART) structures — parametric triggers, facultative and treaty reinsurance, and/or multi-year contracts.

Preferred / Nice-to-Have

  • Experience with Analyze Re or comparable portfolio roll-up/aggregation platforms.
  • Experience with Azure Databricks, PySpark, and Delta Lake / data lakehouse patterns.
  • Knowledge of reinsurance structures and portfolio risk metrics (PML, AAL, TVaR).
  • Familiarity with geospatial data handling and mapping (geopandas, shapefiles, spatial joins).
  • Experience with version control (Git) and SDLC practices (branching, code review, release management).
  • Prior experience leading vendor evaluations for modeling platforms, peril models, or analytics infrastructure.
  • Background in or exposure to applied research within catastrophe modeling or a related quantitative discipline

Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions, and benefits of employment.

How We Support Our Teammates 

Ryan Specialty seeks to offer our employees a comprehensive and best-in-class benefits package that helps them — and their family members — achieve their physical, financial, and emotional well-being goals. In addition to paid time off for company holidays, vacation, sick and personal days, Ryan offers paid parental leave, mental health services and more.

The target salary range for this position is $140,000.00 - $175,000.00 annually.

The wage range for this role considers many factors, such as training, transferable skills, work experience, licensure and certification, business needs, and market demands. The pay range is subject to change and may be modified in the future. Full-time roles are eligible for bonuses and benefits. For additional information on Ryan Specialty Total Rewards, visit our website https://benefits.ryansg.com/. 

 

We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation at [email protected] 

 

The above is intended to describe this job's general requirements. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. 

Skills Required

  • 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 and experience directing or building automation with Python, R, VBA, and/or Alteryx
  • Experience translating catastrophe model output into underwriting or portfolio management decisions
  • Experience leading 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, Data Engineering, or similar cross-functional groups
  • Excellent communication skills and experience presenting technical analysis to underwriting and executive stakeholders
  • Experience pricing or modeling Alternative Risk Transfer structures, including parametric triggers, facultative or treaty reinsurance, and/or multi-year contracts
  • Experience with Analyze Re or comparable portfolio roll-up or aggregation platforms
  • Experience with Azure Databricks, PySpark, and Delta Lake or data lakehouse patterns
  • Knowledge of reinsurance structures and portfolio risk metrics such as PML, AAL, and TVaR
  • Familiarity with geospatial data handling and mapping, including GeoPandas, shapefiles, and spatial joins
  • Experience with version control and SDLC practices, including Git, branching, code review, and release management
  • Experience leading vendor evaluations for modeling platforms, peril models, or analytics infrastructure
  • Background in or exposure to applied research within catastrophe modeling or a related quantitative discipline
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The Company
HQ: Chicago, IL
3,696 Employees
Year Founded: 2010

What We Do

Ryan Specialty (NYSE: RYAN) is an international specialty insurance firm that provides distribution, underwriting, product development, administration and risk management services by acting as a wholesale broker and a managing underwriter. Our mission is to provide industry-leading innovative specialty insurance solutions for insurance brokers, agents and carriers. Ryan Specialty was founded in 2010 by Patrick G. Ryan, the widely respected insurance veteran, founder and former Chairman and CEO of Aon Corporation. Mr. Ryan saw the need in the marketplace for a specialty organization dedicated exclusively to creating sophisticated insurance solutions for risks that demand innovation, proven leadership, outstanding industry expertise and quality services on behalf of brokers, agents and carriers. For more information about Ryan Specialty, visit our website at ryansg.com. Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce that is reflective of society throughout the entirety of the organization. Our vision is an inclusive and equitable workplace where all employees are valued and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions and benefits of employment.

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