Senior Model Validation Analyst III

Verisk Analytics • Boston, MA

82d • Hybrid

About The Position

At Verisk EES (Extreme Event Solutions), we do some cool advanced analytic stuff! We build stochastic models to simulate Catastrophic Events that will inform the insurance industry. Events include Hurricanes, Earthquakes, and Flooding, just to name a few. We then run Monte Carlo simulations to provide hundreds of thousands of years of simulated events. These help the insurance industry make objective and data driven decisions based on their risk tolerances. As a company, we have a strong sense of purpose and know we are helping resilient communities worldwide. This role is focused on Extreme Event Risk Models, doing Quality Assurance on the models mentioned in the description and developed at Verisk. You will partner with scientists and structural engineers and identify areas for model validation, with an emphasis on developing creative approaches to expand test coverage. Additionally, you will create detailed test plans and strategies to ensure the model has full QA coverage. You will ensure the products meet exacting requirements for accuracy and explicit and/or implicit validation of scientific, engineering, and financial algorithms. You will, under minimal supervision, be constantly manipulating and transforming data, performing advanced statistical and spatial analysis to validate complex model components, and summarizing findings to be presented at all levels of Verisk. You will author technical documents in Python's Jupyter Notebook or in R Markdown detailing your validation work. You will participate in cross-functional Agile Scrum teams while delivering concurrent day-to-day tasks and use automated testing practices throughout the software development life cycle. Successful candidates will use their strong quantitative data analytics mindset to deliver strategic projects using robust methodologies. Position requires a deep commitment to quality assurance that leverages the best practices already in place and help to enhance them.

Requirements

• Undergraduate degree in a relevant field.
• Graduate degree in STEM related areas (data science, engineering, science, mathematics, finance, economics).
• 4-6 years of relevant work experience.
• Proven experience in analytical programming, fluency in Python or R.
• Experience with SQL and libraries like Pandas, Tidyverse, Data frames.
• Strong experience with GIS tools and large data sets.
• Experience in designing and/or validating numerical probabilistic models.
• Excellent attention to detail and ability to derive actionable insights from data.
• Excellent communication skills to interface with cross-functional teams.

Nice To Haves

• Hands-on experience with GitHub foundational workflows and GitHub Actions for CI/CD automation.
• Prior experience with the AWS ecosystem and technology stack.

Responsibilities

• Perform Quality Assurance on Extreme Event Risk Models developed at Verisk.
• Partner with scientists and structural engineers to identify areas for model validation.
• Develop creative approaches to expand test coverage.
• Create detailed test plans and strategies for full QA coverage.
• Ensure products meet requirements for accuracy and validation of algorithms.
• Manipulate and transform data for advanced statistical and spatial analysis.
• Summarize findings for presentation at all levels of Verisk.
• Author technical documents in Python's Jupyter Notebook or R Markdown.
• Participate in cross-functional Agile Scrum teams and deliver concurrent tasks.
• Use automated testing practices throughout the software development life cycle.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees