Being part of and contributing to a large, vibrant community
Understanding problems and designing solutions for the PC Insurance industry.
Applying a variety of analytic methodologies including Predictive Modeling, Machine Learning, Forecasting, Network Analytics, Natural Language Processing, Computer Vision, Voice and Speech Analytics, and Generative AI to develop solutions to those business problems
Working with a diverse set of extremely rich datasets such as 19 billion detailed records of insurance premiums collected and losses paid, or 90%+ of Insurance Claims in the US
Seeing your work result in new products, product enhancements, consulting revenue, or internal process improvements on a regular basis
Working with cutting-edge technology, and continuously developing new skills and capabilities.
Purpose of the role:
Development of analytic solutions in support of increasing the efficiency of Verisk processes, enhancing Verisk s current products, and developing new products.
Development of analytic interns (that you are responsible for)
Contribute to the development of the Verisk Analytic Community.
Specific Responsibilities:
The development and timely delivery of analytic solutions that meet business requirements around accuracy, sophistication, and interpretability.
Develop analytic solutions using machine learning techniques including Predictive Modeling, Text Mining, Entity Resolution, Time-series Forecasting, Network Analytics, Computer Vision, Automated Speech Recognition, and Generative AI.
Ensure that solutions meet business requirements around accuracy, sophistication, and interpretability.
Ensure that solution is delivered in a timely manner.
The incorporation of technical innovations and new developments in relevant analytic fields
Keep abreast of technical innovations and new developments in relevant analytic fields
The development of analytic interns that you are responsible for
Identify training opportunities and project opportunities that can help develop the analytic interns you are responsible for
The sharing of important methodologies, advances, and best practices from your work among the whole analytic community
Help organize these forums for developing Verisk s analytic community
Share important methodologies, advances, and best practices from your work among the whole analytic community via these forums.
Success Criteria:
Measurable contribution to products and processes in terms of new products developed, enhanced products, direct revenue supported, cost savings etc
Positive feedback on the support received from business partners
Advancement of analytic interns that you are responsible for
Positive feedback from analytic interns that you are responsible for
Positive feedback from team members and leaders of the Verisk analytic community
A degree in a quantitative field with relevant experience: Bachelors (3-5 years) or Masters (1-2 years), or PhD (0-2 years).
Strong programming skills, particularly in R and Python.
Extensive experience in one or more of the following skills is essential: Predictive Modeling, Entity Resolution, NLP, and Gen AI.
Experience in any of the following skills is a plus: Big Data Platforms, Time-Series Forecasting, Graph Databases, Network Analytics, Neural Networks, Computer Vision, and ASR (Automated Speech Recognition).
Familiarity with SQL or NoSQL (e.g., Hadoop, HBase, MongoDB and/or Neo4j) databases.
Domain knowledge in the insurance industry is an added advantage.
Ability to solve problems analytically and creatively.