Property & Casualty Data Engineer

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

Verisk Insurance Solutions is a leading source of information about property/casualty insurance risk. For a broad spectrum of commercial and personal lines of insurance, Verisk provides statistical, actuarial, underwriting, and claims information and analytics; compliance and fraud identification tools; policy language; information about specific locations; and technical services. Verisk serves insurers, reinsurers, agents and brokers, insurance regulators, risk managers, and other participants in the property/casualty insurance marketplace. 

The Analytical Data Operations (ADO) team is responsible for managing the lifeblood of our position within the US P&C Insurance industry, our data. Ensuring our product teams have the data they need, when they need it, and with the trust in our systems and processes to ensure they have their hands on the pulse of the industry. We are a hybrid team of data analysts, data engineers, BI developers, and actuarial-engineers that are responsible for the design and implementation of the country’s largest database of P&C policy and claims information from data ingestion, data integration, data transformation, data analysis, to BI development.  

The ADO team is looking to hire a Data Engineer(Insurance/Actuary), ideally having a good combination of an analytical/innovative mindset, technical aptitude, business accumen, communication skills, and a passion for data and technology. For internal candidates, this position is open to grade level 14.  

This is a hybrid role that will combine insurance knowledge, data analysis, and communication skills and will be expected to manage projects in multiple work-streams and an array of internal customers. We are looking for a candidate that can support the development of modern data applications including database architecture, data pipelines, and data analysis. 

As a Data Engineer(Insurance/Actuary), you will... 

• Build and maintain robust data engineering process to develop and implement self-serve data 

• Support product implementation on a new and innovative technology platform with product requirements, actuarial calculations, methods, and validation 

• Design, build and launch extremely efficient & reliable data pipelines to move data (both large and small amounts) in/out of our Snowflake Data Lake 

• Assist with product development and implementation including modeling and assumption development 

• Execute data engineering projects ranging from small to large either individually or as part of a project team 

• Perform other tasks on R&D, data governance, system infrastructure, and other cross team functions, on an as-needed basis 

• Adopt an agile framework to schedule work, adjust as needed and continuously improve performance 

• Communicate performance with relevant internal stakeholders 

• Work with data analysts to develop reports and visualizations 

• Assist in scoping and designing analytic data assets 

• Find opportunities to create, automate and scale repeatable analyses or build self-service tools for business users 

You will be part of a culture that embraces learning and innovation, values teamwork, recognizes and rewards achievements and excellence, and provides personal and professional enrichment opportunities. 

Qualifications

• Bachelor's degree in a STEM major or with STEM coursework learned in associated majors (Actuarial Science, Computer Science, Data Engineering, Data Science, Mathematics, Applied Mathematics, Statistics, Finance, Economics)  

• Proficient in SQL, Database Architectures, Data Pipelines, and at least one scripting/analytics language (Python preferred) 

• Experience with a business intelligence tool (other than excel) and understanding of data visualization theory 

• Experience with Git and the pull request workflow 

• 2+ years of experience in the property & casualty insurance industry in an actuarial, data analysis, or data engineering role 

• Homeowners and Dwelling experience preferred 

• Excellent communication skills (both oral and written) are required, with a desire to improve presentation and persuasion skills 

• A self-starter with a commitment to innovation and pro-active problem solving 

• A sincere interest in transforming the insurance industry through data and analytics to improve people’s lives 

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