Full Stack QA Engineer (AWS, C#, Analytical experience)

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

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 world wide..

Job Description

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

This role is focused on our SaaS Solutions, doing Quality Assurance on the implementation of our cloud products.

• You will partner with the C# developers, identify areas for testing to ensure the entire product has coverage with testing strategies. 
• You will code in C# to develop unit & integration tests that you have optimized to run in an AWS environment, using a minimal footprint, while being organized and properly documenting your test cases.
• You will be involved authoring API based tests to the core system, calling specific functionality to run your integration tests, while automatically determining the pass/fail of the tests.  All of your testing will need to be implemented in our automated framework.
• You will be constantly manipulating and transforming data with SQL and Excel to analyze the complex outputs while summarizing the findings to present and support making informed decisions.
• You will use your quantitative data analytics mindset to deliver on your day-to-day tasks, as you need to understand complex multi-model scenarios, ensure your tests are robust, while you participate in cross-functional Agile Scrum teams.
• A strong analytical focus and attention to detail along with a methodical approach to problem solving is strong foundation for success in this position.
• Position requires a strong commitment quality assurance that leverages the best practices already place and help to enhance them.

Qualifications

• Candidates must have Undergraduate/Graduate in STEM related areas, including data science, engineering, science, mathematics & finance / economics.
• A graduate degree and 2-4 years of experience is required.
• Candidates must have demonstrated experience in objected programming languages such as C++, C# or Java, Python as well as data analysis and statistical modeling tools Like R or MATLAB
• Candidates must have experience with development or testing cloud native products, web development, web testing and / or cloud testing environments (Serverless SaaS stack). Strong prior experience with AWS Eco system and technology stack is preferable.
• Candidates must have an aptitude for quantitative problem solving or advanced analytics. Candidates will ideally have QA testing experience using BDD (Cucumber & SpecFlow), API (Postman), E2E (Playwright-Selenium).
• Successful candidates must demonstrate a strong aptitude with relational databases and good working knowledge with on-prem or cloud based advanced database systems.

#LI-MV1

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. We help others see new possibilities and empower