Senior Model Validation Analyst III

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.
• Candidates must have an undergraduate degree, a graduate degree in STEM related areas (data science, engineering, science, mathematics, 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.

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About Us

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work® Certification, 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 and Best Employer for Women, testaments to the value we place on workplace culture.

We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

Underwriting Solutions - provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions - supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property Estimating Solutions - offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Extreme Event Solutions - provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.

Specialty Business Solutions - provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Marketing Solutions - delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement

Life Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft - provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

Verisk invests in a benefits package for all employees that includes the following : Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.

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.

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