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Salary
≈ $53k – $102k per year (Estimated)
Location
In office (Boston)
Seniority
Junior · 1+ year exp

Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 30, 2026. Verisk scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Verisk Analytics provides data analytics and risk models for the insurance industry. Its catastrophe models, claims data and rating services underpin much of property underwriting. The company also supplies fraud detection and climate risk analytics.

Verisk’s Catastrophe and Risk Solutions (CRS) seeks a motivated Risk Analyst to support our Insurance-Linked Securities (ILS) team across two primary pillars:

1. Securitization - delivering high-quality analytics for catastrophe bonds and related ILS transactions.

2. ILS Client Support & Remodeling - maintaining and enhancing key workflows, datasets, and services, including client support, training, remodeling, and event response.

This role combines transaction-driven analytics with direct client-facing responsibilities, offering a unique opportunity to develop expertise at the intersection of catastrophe modeling, re/insurance, and capital markets.

Securitization

  • Perform risk and loss analyses using Verisk catastrophe models to support the structuring and placement of catastrophe bonds and related ILS deals.
  • Produce customized Risk Analysis Reports aligned to transaction terms and client portfolios.
  • Support investor presentations with clear, defensible analytics and narratives.

ILS Client Support & Remodeling

  • Review transaction documents and develop Remodeling Service files used by ILS investors.
  • Provide real-time event support and analytics to inform investor communications.
  • Deliver high-quality service to clients using Verisk models and software: respond to inquiries, troubleshoot workflows, and ensure accurate, complete resolutions.
  • Build and maintain the Catastrophe Bond Database (CBDB) and related analytical tools.
  • Lead client training and enablement sessions.
  • Bachelor’s degree in a quantitative or analytical field (e.g., Mathematics, Finance, Data Science, Statistics, Economics, Engineering, Atmospheric Science).
  • 1-3 years of relevant experience in consulting, finance, re/insurance, or analytics.
  • Proficiency in Excel required; experience with SQL, Python, or R preferred.
  • Willingness to occasionally provide support outside normal business hours during peak catastrophe bond activity.

Knowledge, Skills & Abilities

  • Strong analytical skills; ability to manage multiple concurrent projects.
  • Excellent communication skills; ability to translate technical concepts for executives, investors, and modelers.
  • Proactive problem solver with sound judgment under time pressure.
  • Familiarity with finance, statistics, re/insurance, or ILS a plus.
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