Senior Model Validation Analyst II

Company Description

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.

Job Description

Company Description

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.

Job Description

We hire smart people - if you understand the entire company description then we are interested in speaking with you. 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.

Qualifications

• Candidates must have an undergraduate degree in STEM-related areas (data science, engineering, science, mathematics, finance, economics)
• Candidates must have a minimum 4-6 years of relevant work experience or graduate degree and 2-3 years of relevant work experience.
• Must have proven experience in analytical programming, fluency in languages like Python or R, DB experience such as SQL, and knowledge of libraries like Pandas, Tidyverse, and Data frames.
• Candidates must have strong experience working with GIS tools and large data sets, performing analysis, manipulations, and data visualizations.
• Experience with designing and/or validating numerical probabilistic models in engineering, science, catastrophe modeling, finance, actuarial science, etc.
• Candidates must have excellent attention to detail and experience with deriving actionable insights from data.
• Candidate must have excellent communication skills to interface with cross-functional teams.
• Prior experience with the AWS ecosystem and technology stack is preferable.

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Additional Information

In 2022, Verisk received Great Place to Work® Certification for our outstanding workplace culture for the sixth year in a row and second-time certification in the UK, Spain, and India. We’re also one of the 38 companies on the UK’s Best Workplaces™ list and one of 18 companies on Spain’s Best Workplaces™ list.

For over fifty years and through innovation, interpretation, and professional insight, Verisk has replaced uncertainty with precision to unlock opportunities that deliver significant and demonstrable impact. From our historic roots in risk assessment, we’ve grown to provide analytic insights that help transform industries focused on some of the world’s most critical areas. Today, the insurance industry relies on Verisk to be, and to make the world, more productive, resilient, and sustainable.

Verisk works in collaboration with our customers and at the intersection of people, data, and advanced technologies. Through proprietary platformed analytics, advanced modeling, and interpretation, we deliver immediate and sustained value to our customers and through them, to the individuals and societies they serve, with greater speed, precision, and scale.

We’re 9,000 people strong, committed to translating big data into big ideas.