Senior Model Validation Analyst II

Job Description
Our Extreme Event Solutions team develops catastrophe models and software that help the (re)insurance industry make objective and data-driven decisions. As a thought leader in the (re)insurance industry, we strive to develop exceptional models and drive technological innovation.  
As a Model Validation / Quality Assurance Analyst, you will partner with a group of scientists and structural engineers who develop stochastic models and run Monte Carlo simulations for catastrophic events, while consulting with them to 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 and creatively 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 and proactively work to identify solutions to complex issues.
Position requires a deep commitment to quality assurance that leverages the best practices already in place and help to enhance them.