Job Description

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.

Responsibilities

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 a graduate degree in STEM related areas (data science, engineering, science, mathematics, statistics, finance, economics), and a minimum of 4-6 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, 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 deriving actionable insights from data.
Candidate must have excellent communication skills to interface with cross-functional teams.
Preferred candidates will have hands-on experience with GitHub foundational workflows and GitHub Actions for CI/CD automation
Prior experience with the AWS ecosystem and technology stack is preferable.

About Us

Our People, Our Culture

For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer, testaments to the value we place on workplace culture.

Our Culture : Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.

Awards & Recognition : See why Verisk is consistently recognized as a Great Place to Work™ around the world.

Our Businesses : Learn about the diverse industries we serve — from insurance and energy to financial services and beyond.

Life at Verisk : Discover what it's like to work at Verisk through employee stories, team highlights, and culture moments.

Careers at Verisk : Join a global team of problem-solvers and innovators doing meaningful work that's shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture

Let's build something meaningful together!

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Verisk Employee Privacy Notice

Senior Model Validation Analyst II(Python/R)