Senior Model Validation Analyst III

Verisk Analytics • Boston, MA

82d

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.

Requirements

• Undergraduate degree and a graduate degree in STEM related areas (data science, engineering, science, mathematics, finance, economics).
• Minimum of 4-6 years of relevant work experience.
• Proven experience in analytical programming and fluency in languages like Python or R.
• DB experience such as SQL and knowledge of libraries like Pandas, Tidyverse, Data frames.
• Strong experience working with GIS tools and large data sets.
• Experience with designing and/or validating numerical probabilistic models.
• Excellent attention to detail and experience deriving 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 to ensure full QA coverage.
• Ensure products meet exacting requirements for accuracy and validation of algorithms.
• Manipulate and transform data, performing advanced statistical and spatial analysis.
• Summarize findings for presentation at all levels of Verisk.
• Author technical documents in Python's Jupyter Notebook or in R Markdown.
• Participate in cross-functional Agile Scrum teams.
• Deliver concurrent day-to-day tasks using automated testing practices.

What This Job Offers

• Industry: Professional, Scientific, and Technical Services
• Education Level: Master's degree