Risk Analyst – Insurance-Linked Securities (ILS)

Job Description

Risk Analyst – Insurance-Linked Securities (ILS) | Verisk

The Tone:
This is an early career role at Verisk, offered through its Early Career Foundations Program. Verisk’s Catastrophe and Risk Solution team builds advanced models and technology to support the placement of catastrophe bonds for various clients. This role is crucial for delivering analytical insights that help clients make important decisions in the expanding Insurance-Linked Securities market.

The TL;DR
• Role: Early Career
• Team: Catastrophe and Risk Solution team, specifically the Insurance-Linked Securities (ILS) team
• Mission: To be market leaders in the ILS industry by producing superior analytics and leveraging Verisk’s products to meet client needs.
• Tech Stack: Excel, SQL, R software, Python

What You’ll Actually Do
• Perform Analysis: Utilize Verisk’s models and technology to support the placement of catastrophe bonds for insurance, reinsurance, and corporate clients.
• Create Reports: Customize model output to generate tailored risk analysis reports specific to given catastrophe bonds and client portfolios.
• Lead Analytics: Take the lead on analytics for multiple concurrent projects, collaborating closely with project teams for a seamless client experience.
• Support Clients: Assist clients in making critical decisions regarding their catastrophe bond placement based on structural features and loss analytics.
• Enhance Workflows: Collaborate with the team to enhance core workflows and execute tasks, reinforcing Verisk’s position in the ILS industry.

The Must-Haves
• Background: Early career professional, graduating in May 2026, with a Bachelor’s Degree (major or minor) in a quantitative field such as economics, mathematics, finance, data science, actuarial science, or atmospheric sciences.
• Experience: Graduating in May 2026.
• Skills: Ability to manage multiple projects, quick learner with proactive problem-solving skills, self-motivated to work independently, and excellent communication skills.
• Bonus: Experience in data analysis using Excel, SQL, R software, Python, or equivalent; prior experience in finance, statistics, insurance, mathematics, or economics.