With a history of impressive growth, an innovative culture, and offering industry-leading solutions, Verisk Analytics is an amazing place to work and make a difference. In 2018, Forbes magazine named Verisk to its World’s Best Employers list and, in 2017, to its World’s Most Innovative Companies list for the third consecutive year. We also earned the Great Place to Work® Certification for the third consecutive year in recognition of our outstanding workplace culture.

Verisk is a leading data analytics provider serving customers in insurance, energy and specialized markets, and financial services. Using advanced technologies to collect and analyze billions of records, Verisk draws on unique data assets and deep domain expertise to provide first-to-market innovations integrated into customer workflows. We’ve been delivering predictive analytics and decision support solutions to our customers for nearly 50 years, helping them protect people, property, and financial assets. At Verisk, you’ll be part of an organization that’s committed to serving the long-term interests of our stakeholders, including the communities where we operate.

At Verisk, you can build an exciting career with meaningful work; create a positive and lasting impact on the business; and find the support, coaching, and training you need to advance your career. Our culture of innovation means your ideas on how to improve our business will be heard. As key contributors to our success, our team members enjoy working in a business-casual, collaborative environment that offers state-of-the-art resources, advanced technologies, and an excellent benefits package.

The ISO unit of Verisk is looking for Interns to support our large team of actuaries and data analytics experts, who create innovative analytic products based on our unique database of over 21 billion records spanning more than twenty lines of insurance.

You will  support Pricing Data Team members in creating a wide variety of ISO’s analytic solutions including: our advisory prospective loss costs and rating factors; analyses that underlie the development of our loss costs (such as distributions by peril, classification or geographic area); actuarial projection of ultimate claims, and analysis of trends impacting premiums and claims; analytical data management, including smart data quality analytics, data aggregations provided to US state insurance regulators and analytic research & development.

A successful candidate will possess excellent technical and mathematical skills, to manipulate data and derive analyses. Most important, though, is a sense of inquisitiveness about data, and the ability not just to find patterns in data, but to also understand what they mean.

Responsibilities:

• Create, modify and execute computer programs to extract, transform and summarize data, as input to derive analyses and reports.
• Review the quality of data provided by insurance companies, both in transactional detail and in aggregate, and help companies to correct errors.
• Understand and support of our business processes, and recommend improvements in data management, error identification, quality control, process automation, or analytic techniques.
• Support strategic initiatives associated to cloud computing, by helping to migrate code, data and processes, and reconciling results against existing procedures.
• Support to create clear and easy to understand reports. Present your analyses, ideas, progress and results to internal manager and colleagues. Support a high-performance collaborative culture. Participate in peer-review with colleagues on an ongoing basis to learn, teach, and ultimately, produce high quality results.
• Learn:
  • The structure of insurance datasets
  • The US P&C insurance business including coverages, components of rating variables, etc.
  • Basic actuarial concepts.
• Develop knowledge of Verisk Analytics’ business practices, products, and data sources.
• Ensure projects are completed on time.

• Expected graduate or bachelor’s degree with a major in Mathematics, Data Science, Statistics, Economics, Risk Management, Operational Research or related discipline.
• Fluency in English is required.
• Some experience in quantitative and qualitative data analysis, using at least one of tools such as SQL, Python, R or SAS.
• Technical background should include a working knowledge of MS Office applications (Word, Excel, Access, Powerpoint) and understanding of computer programming concepts.
• Other advantageous experience:
• Experience with large (>100,000 row) datasets or datasets of mixed quality.
• Data visualization software such as Tableau, Spotfire or COGNOS.
• Familiarity with Property-Casualty Insurance coverages, data, and/or actuarial methodologies.
• Using VBA to automate tasks in Microsoft Office.
• Ability to work independently and as part of a team.
• Strong verbal and written communications skills, listening and teamwork skills, and effective summarization skills.
• Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills. Excellent organization/planning skills and talent for managing many large and complex datasets.
• Aptitude in performing multiple tasks and dealing with changing deadline requirements. This includes knowing when to escalate issues. Maintains a focused, flexible, organized, and proactive manner.
• Ability to perform essential job duties with or without reasonable accommodation. 

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

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.