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Purpose of the Team



Verisk Risk Analyzer Team work on the tool primarily used by insurance companies to assess the risk profile of individuals applying for auto and property insurance.

Job Description



Verisk Risk Analyzer Team work on the tool primarily used by insurance companies to assess the risk profile of individuals applying for auto and property insurance.



The product helps insurers make more accurate pricing and underwriting decisions by using predictive analytics and data modeling.



Purpose of the Role



ISOs Analytic Products unit is looking for insurance analytic talent. This individual will contribute to the production of analytic rating products that are driven by predictive modeling, including the Risk Analyzer solutions suite for personal & commercial lines.

You will be responsible for the key technical aspects of updating and enhancing the Risk Analyzer rating products, demonstrating actuarial and business value to internal stakeholders, and ideating, researching, and deploying of new modeled products. In this role, you will be collaborating with not just members of the Analytic Products team, but various other teams across the organization to support the products.

The ideal candidate is highly inquisitive, organized and detail oriented, able to work independently and solution-minded.

Responsibilities

• Maintain high-performing products
• Take part in efficient production update cycles for accurate and timely product releases
• Utilize insurance ratemaking knowledge to properly contextualize Risk Analyzer models within the ISO rating plans and loss costs
• Help respond to questions from regulators and insurers on analytic product filings and circulars
• Use strong analytical skills to perform proof of concept tests on insurer portfolios and concisely communicate the results to demonstrate value of implementing Risk Analyzer
• Work with product management & other stakeholders to ensure timely and accurate delivery of products.
• Collaborate with the data management and modeling teams to develop useful models that you will then productize into customer-ready rating products
• Developing actuarial knowledge and expertise.

Qualifications

• Bachelors or Master’s degree or equivalent experience in a quantitative discipline such as insurance math, statistics, actuarial, computer science, mathematics, economics, or operations research
• At least 2 years of work experience, especially related to actuarial, insurance/risk management, data management, and analytics
• Strong Excel skills are required, along with the ability to learn programming languages. Prior experience with SQL, SAS, R, and/or Python are a plus
• Practical experience in quantitative and qualitative data analysis, using tools such as SQL, Python, R or SAS. SQL and Python experience are preferred
• Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills
• Aptitude in performing multiple tasks and dealing with changing deadline requirements.
• Property & Casualty insurance experience (1+ years) is strongly preferred
• Familiarity with statistical modeling techniques such as linear regression, GLMs, tree models, and model validation is a plus
• Willingness to grow and expertise in actuarial area.

This is a hybrid role, requiring a minimum of two days per week onsite at our Krakow office.



Verisk supports pursuing a Casualty Actuarial Society (CAS)/ Chartered Property Casualty Underwriter (CPCU) credential.

About Us



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, youll have the chance to use your voice and build a rewarding career thats as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

Verisk is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veterans status, age or disability.