Job Description

Verisk Extreme Event Solutions (previously AIR Worldwide), a member of Verisk Analytics, is the scientific leader and most respected provider of risk modeling software and consulting services. Verisk Extreme Event Solutions founded the catastrophe modeling industry in 1987 and today models the risk from natural catastrophes, terrorism, and pandemic outbreaks in 90 countries. Verisk Extreme Event Solutions offers the opportunity to work with advanced technologies, global clients, and hundreds of the most innovative, talented minds in the industry.

As part of a Research and Modeling team, you will get exposue to a wide variety of modeling: earthquake shaking, liquefaction, landslide, fire-following, sprinkler, tsunami, wildfire, blast and etc., with a specialized focus on a variety of data acquisition, running simulations, data post-processing and mining. The candidate will work closely with a team of different expertise to perform independent model validation, deterministic and probabilistic risk assessment, and present and explain results to technical and non-technical audiences including VERISK clients and government officials.

A successful candidate should have a strong data analysis skill, has passion and desire to learn, and is expected to be a highly motivated, detail oriented, well organized, and excellent team player. As a researcher at VERISK, the nature of our work varies from month to month and year to year, and you will have constant opportunities to learn and grow expertise in new areas.

Responsibilities (main responsibilities, but not limited to):

• Data acquisition through internet search and literature review, and summarize and organize them in a way for model development and validation
• Perform analytical studies on a variety of data including damage observations, synthesized data, insurance claims for model develop, internal sensitivity study and model evaluation
• Represent VERISK to explain view of risks to technical and non-technical audiences
• Author technical writing for internal and external publications

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Qualifications

Qualifications (desired knowledge, skills and abilities):

• Master with 2+ years of relevant experience in data science, and knowledge in engineering fields is a plus
• Demonstrated capabilities in probabilistic and stochastic risk modeling
• Familiarity with C++ and data mining skills using tools such as R, Matlab and others
• Ability to communicate effectively through verbal and written mediums with technical and non-technical audiences
• Good command of machine learning (regression, classification, clustering, time-series analysis, decision trees, neural networks, etc). Familiarity with deep-learning techniques for spatial-temporal data (LSTM, TCN, CNN, Transformers, PINN, GAN, etc) is a plus
• Experience with common data science toolkits such as scikit-learn, PyTorch or TensorFlow
• Comfortable deploying machine learning models in a HPC environment
• Experience with GIS applications (e.g., ArcGIS, QGIS, etc.)
• Knowledge on catastrophe insurance regulations, state legislation and AWS is a plus

Additional Information

At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.

Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.

But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.

It’s the reason Verisk is part of the UN Global Compact sustainability initiative. It’s why we made a commitment to balancing 100 percent of our carbon emissions. It’s the aim of our “returnship” program for experienced professionals rejoining the workforce after time away. And, it’s what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers’ problems.

At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do.

At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have received the Great Place to Work® Certification for the 7th consecutive year. We’ve been recognized by Forbes as a World’s Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce. Verisk’s Statement on Racial Equity and Diversity supports our commitment to these values and affecting positive and lasting change in the communities where we live and work.

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.

http://www.verisk.com/careers.html

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