Data Analyst II

Company Description

ISO, a Verisk business, has been a leading source of information about property/casualty insurance risk since 1971. For a broad spectrum of commercial and personal lines of insurance, ISO provides statistical, actuarial, underwriting, and claims information and analytics; compliance and fraud identification tools; policy language; information about specific locations; and technical services. ISO serves insurers, reinsurers, agents and brokers, insurance regulators, risk managers, and other participants in the property/casualty insurance marketplace. To learn more about ISO please visit us at:  www.verisk.com/iso. We are proud to be a part of the Verisk family of companies! 

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 fourth 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. 

Job Description

ABOUT THE ROLE
As a Data Analyst in the Arium group, part of the Verisk Extreme Event Solutions division, you will support the development of the insurance industry’s leading liability catastrophe modeling solution for the global insurance and reinsurance market. The Arium models quantify the systemic and emerging liability risks that can lead to significant aggregations and clash risks across portfolios, ranging from climate change to recessions to chemical exposures and across major commercial liability lines, including commercial general liability and professional/management liability lines. Your work as a data analyst will support and enable model development in this fast-growth space in the liability industry. This role is part of the Arium research and analytics team, and will be based in Hyderabad.

ABOUT THE DAY TO DAY RESPONSIBILITIES OF THE ROLE

• Own all Arium View of Risk data and data preparation processes
• Own the update process for historical event parameterization
• Collaborate with the research team to make all necessary data adjustments to maintain a robust database
• Support all necessary data preparation and pre-processing for specific modeling projects and initiatives
• Streamline data update and cleaning processes, including refactoring and optimizing legacy code to improve performance
• Support Ad-hoc data analysis and queries from various Arium teams

Qualifications

Qualifications:

• Bachelor's Degree or equivalent in statistics, computer science, information technology, business analytics, or other related majors
• Minimum of 2-3  years of experience preferred
• Proficiency in Excel
• Proficiency in either Python or R
• Proficiency in SQL and database management
• Experience performing data preprocessing and cleaning
• Dashboarding experience would be a plus
• Proficient in working with JSON data formats
• Demonstrated ability to write clean, maintainable, and well-documented code
• Insurance experience would be a plus
• Ability to work independently and as part of a team
• Strong interpersonal, oral, and written communication skills, including presentation skills