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About the Role

As the quantitative analyst in the Arium group, part of the Verisk Extreme Event Solutions division, you will support the research and 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. You will not need to be an expert in any of these risks or lines, but you should have experience in econometric and statistical methods and be a critical and creative thinker with a strong drive to grapple with complex topics. Your skillset and expertise will have a direct impact on researching and quantifying large-loss liability events and model development to support this fast-growth space in the liability industry. This role is part of the Arium research and modeling team and will be based either in Jersey City or Boston, USA.

About the Day to Day Responsibilities of the Role

• Reporting into the actuarial function and working closely with the data science and research teams, you will leverage econometric and statistical methods to support the development of models and frameworks to quantify large-loss liability events

• Support the research and building of modeling frameworks for new emerging large-loss risks facing the liability insurance industry, and communicating findings to internal and external stakeholders

• Embed qualitative and legal research and expertise into models to support the development of a stochastic liability catastrophe event catalogue.
• Assist in ad hoc data querying and analytical tasks.

About You and How You Can Excel in This Role

• Bachelor’s degree in economics, finance, or other similar quantitative field with 2-3 years of professional experience, or a Master’s degree with corresponding professional experience
• Strong background in econometrics and statistical principles and applications required, including time series forecasting, fitting distributions to data, and cross-sectional/panel econometric methods. Some background in property/casualty actuarial science or familiarity with actuarial science and p/c insurance principles would be a plus.
• Experience in economic/financial forecasting and model parameterization, preferably in a commercial context and under modeling and data uncertainty. Public policy-related experience would be a plus.
• Stochastic modeling experience would be a plus but not required
• Demonstrated ability to work independently on projects and tasks independently and under tight deadlines.
• Required programming skills: Python, R, SQL, and a familiarity with GitHub and Bitbucket.
• Demonstrated effective communication, collaboration, organizational and critical thinking skills

#LI-MC1

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.

Verisk Businesses

Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.

Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement

Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

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.

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