Senior Model Validation Analyst

Verisk Analytics • Boston, MA

1d

About The Position

Bring your analytical curiosity and commitment to quality to a role where your work will help strengthen the natural catastrophe models organizations rely on to understand and manage complex risk. As a Senior Model Validation Analyst, you will independently evaluate sophisticated scientific, engineering, and financial model components, turning complex data into clear evidence that models are accurate, reliable, and ready to support critical decisions. Working closely with scientists, structural engineers, software professionals, and other cross-functional partners, you will shape thoughtful validation strategies, develop creative ways to expand test coverage, and communicate findings that influence model quality across the organization. This is an opportunity to combine advanced analytics, technical problem-solving, and collaborative leadership in a highly visible role.

Requirements

• Undergraduate/graduate degree in STEM related areas (data science, engineering, science, mathematics, finance, economics).
• Graduate degree and 4+ years relevant work experience.
• Experience in analytical programming.
• Fluency in languages like Python or R.
• DB experience such as SQL.
• Knowledge of GIS tools.
• Familiarity with libraries like Pandas, Tidyverse, Data frames and Claude Code.
• Experience working with large data sets performing analysis and manipulation.
• Experience with designing and/or validating numerical probabilistic models in engineering, science, catastrophe modeling, finance, actuarial science, etc.
• Excellent attention to detail.
• Experience with deriving actionable insights from data.
• Excellent communication skills to interface with cross-functional teams.

Nice To Haves

• Prior experience with AWS ecosystem and technology stack is preferable.

Responsibilities

• Lead the design and execution of comprehensive test plans from requirements, ensuring robust quality assurance coverage across complex natural catastrophe model components.
• Independently validate scientific, engineering, and financial algorithms against original sources and established validation principles to support model accuracy and reliability.
• Independently analyze and manipulate medium-to-large data sets, run advanced statistical analyses, and interpret results to identify trends, anomalies, and actionable insights.
• Independently create transparent, reproducible technical documentation in Python’s Jupyter Notebook or R Markdown, capturing validation methods, evidence, findings, and conclusions.
• Communicate validation results, risks, and recommendations clearly to technical and non-technical stakeholders through written reports and presentations.
• Collaborate within cross-functional Agile Scrum teams, manage concurrent validation priorities, and support the expansion of automated testing throughout the software development life cycle.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior