Verisk Analytics Jobs (NOW HIRING)

This is an insurance regulatory reporting role, not a software engineering, data engineering, business intelligence or general analytics position.  Experience in Property and Casualty insurance reporting is required.  Candidates should have experience with P&C insurance regulatory reporting environments such as statistical plans and reporting of regulatory and state insurance filings.  The ideal candidate is well-versed in client solution implementation and regulatory reporting environments. This individual will be responsible for analyzing insurance data, supporting data management activities, interpreting regulatory reporting requirements, and performing business analysis to support client reporting implementations. This role contributes to our ability to support and assist with our external partner's reporting responsibilities and prepare data reviews, regulatory filings and compilations in a timely and accurate manner for submission to state insurance departments and ISO affiliates.

You will have the opportunity to learn and apply insurance business knowledge and your skills in order to research and implement data capture mechanisms and strategies that will maximize usability of reported data for our products and services.

As a member of the Data Management Solutions team, you will be involved with regulatory reporting implementation and onboarding of new clients. You will have close interactions with stakeholders (internal and external) on regulatory data reporting requirements, and other data management activities. You will be involved in creating, building and improving processes and procedures to support different strategic plans. 

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. 

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer, testaments to the value we place on workplace culture.

We're 7,000 people strong.  We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

 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 and Restoration 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

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

Catastrophe and Risk Solutions - provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.

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

Verisk Analytics is an equal opportunity employer.

Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.

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. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

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.

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The ideal candidate has worked directly for a P&C insurance carrier, statistical reporting organization, bureau, regulatory reporting vendor, or insurance services company.  Candidates with experience supporting ISO/Verisk, TICO, CAR, residual market reporting, statistical plans, regulatory data submissions, policy administration systems, claims systems, insurance reporting implementations, requirements gathering, data mapping, reporting specification validation, and client onboarding initiatives will be particularly successful in this role.

This position is intended for experienced insurance professionals and is not an entry-level opportunity.

Required Qualifications

• Minimum 5 years of Property & Casualty insurance experience is required, including experience in regulatory reporting, statistical reporting, bureau reporting, insurance operations, policy administration, claims operations, underwriting operations, or related insurance data management functions.  Candidates whose primary experience is software engineering, data engineering, data science, actuarial analysis, business intelligence development, or programming are unlikely to be a fit for this position.
• Experience working with P&C insurance industry reporting organizations such as ISO/Verisk, TICO, CAR, state insurance departments, residual markets, statistical agents, or other regulatory reporting entities is strongly preferred.
• Practical experience interpreting, mapping, validating, implementing or supporting insurance statistical reporting requirements (e.g., ISO Statistical Plans, bureau reporting, residual market reporting, state reporting, or similar regulatory data programs) is strongly preferred.
• Experience working directly with insurance carriers, business stakeholders, regulatory reporting teams, or external clients during implementation and onboarding initiatives is required.
• Ability to understand and analyze transactional insurance data is required.  The successful candidate must be able to analyze insurance policy, premium, exposure and claims data and translate business reporting requirements into actionable reporting specifications. 
• Solid background in Microsoft Office (Word, Excel at minimum).
• Passion for problem solving with strong critical thinking and analytical skills.
• Strong written and oral communication skills.
• Ability to work under time constraints and adjust plans in the face of changing priorities.
• Must be a self-starter, self-motivated, customer-service oriented and capable of working both independently and in a team environment.
• Bachelor's degree or equivalent professional experience in a related field.
• Continued desire and ability to learn.
• Understanding of and experience with data manipulation, transactional-level data generation and data validation procedures including small to mid-size data transformations, cleansing and validation scripts is a plus.
• Experience conducting client meetings, gathering business requirements, presenting reporting solutions, and supporting implementation activities with insurance carriers is strongly preferred.
• Experience using SQL or other data interrogation tools to analyze and validate insurance data is helpful.
• Professional insurance designations such as CPCU, AINS, IDMA, or similar industry credentials are a plus.

Preferred Qualifications

• Understanding of and experience with data manipulation, transactional-level data generation and data validation procedures including small to mid-size data transformations, cleansing and validation scripts is a plus.
• Experience conducting client meetings, gathering business requirements, presenting reporting solutions, and supporting implementation activities with insurance carriers is strongly preferred.
• Experience using SQL or other data interrogation tools to analyze and validate insurance data is helpful.
• Professional insurance designations such as CPCU, AINS, IDMA, or similar industry credentials are a plus.

#LI-MC1

• Create and modify instructions which will enable us to extract, transform and summarize insurance regulatory data, as input to derive desired results.
• Contribute to our business processes and recommend improvements in data management, error identification, quality control and process automation.
• Provide input and suggestions for our data reporting implementations, while working closely with our development team.
• Provide high quality support to client needs including reporting requirement interpretation, regulatory reporting implementation, statistical plan mapping, data reconciliation, regulatory validation and bureau submission preparation.
• Collaborate with other divisions, integrating information from multiple sources along with independent analysis and research.
• Ability to prioritize business needs and make decisions while handling multiple projects.
• Use appropriate business language to develop clear and concise data reporting standards and instructions.