Verisk
At Verisk EES (Extreme Event Solutions), 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.
Responsibilities
This role is focused on Extreme Event Risk Models, doing Quality Assurance on the models mentioned in the description and developed at Verisk. Partner with scientists and structural engineers and identify areas for model validation, with an emphasis on developing creative approaches to expand test coverage. Create detailed test plans and strategies to ensure the model has full QA coverage. Ensure the products meet exacting requirements for accuracy and explicit and/or implicit validation of scientific, engineering, and financial algorithms. Manipulate and transform data, performing advanced statistical and spatial analysis to validate complex model components, and summarize findings to be presented at all levels of Verisk. Author technical documents in Python’s Jupyter Notebook or in R Markdown detailing your validation work. 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, 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. 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. 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. 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
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. Verisk invests in a benefits package for all employees that includes but is not limited to the following: Health Insurance, a Retirement Plan, and a Paid Time Off program. Verisk Analytics is an equal opportunity employer. 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.
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This role is focused on Extreme Event Risk Models, doing Quality Assurance on the models mentioned in the description and developed at Verisk. Partner with scientists and structural engineers and identify areas for model validation, with an emphasis on developing creative approaches to expand test coverage. Create detailed test plans and strategies to ensure the model has full QA coverage. Ensure the products meet exacting requirements for accuracy and explicit and/or implicit validation of scientific, engineering, and financial algorithms. Manipulate and transform data, performing advanced statistical and spatial analysis to validate complex model components, and summarize findings to be presented at all levels of Verisk. Author technical documents in Python’s Jupyter Notebook or in R Markdown detailing your validation work. 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, 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. 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. 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. 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
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. Verisk invests in a benefits package for all employees that includes but is not limited to the following: Health Insurance, a Retirement Plan, and a Paid Time Off program. Verisk Analytics is an equal opportunity employer. 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.
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