Insurance Data Consultant

  Insurance Data Consultant 

 

Funded by Pequot Ventures of New York City that has $2 billion under management, EagleEye Analytics is an emerging leader in predictive analytics, data and information services that focuses its cutting-edge technologies on enhancing the profitability of property and casualty insurance carriers. EagleEye is focused exclusively on combining predictive analytics and data to allow insurers to optimize their risk selection and pricing. This is an exciting opportunity to join a company committed to revolutionizing the way insurance companies underwrite and price their business.

 

The Consultant will:

 

·        be the Lead consultant supporting with several Property and Casualty Insurance Clients

·        use T-SQL to interrogate and manipulate client data to load into Insight EagleEye’s state of the art data analytics engine

·        run data analysis and provide validation and

     interpretation of the results to the client

·       conduct demonstrations and presentations with clients and prospects

·        maintain key documentation

·       provide client information on analytics implication to underwriting, marketing and pricing of products

 

Successful candidates will have:

 

·        Bachelor’s Degree in finance, mathematics, statistics a plus

·       Minimum of 5 years business/consulting, pricing, underwriting, project management within the Property and Casualty Insurance industry.  

·        broad knowledge of the Property & Casualty Industry data, P&L, underwriting, pricing and risk analysis

·       Requires strong analytical/statistical knowledge and skills, working knowledge and skill of data manipulation tools i.e. T-SQL, SQL and or DB2. Exposure to  predictive analytics in the P&C industry is highly desirable.

·       Solid written and verbal communication skills, project management, planning and organizational skills.

·       Proven track record in partnering/advising a client over an extended period of time to include; quickly prioritizing, initiating action and solve problems for the client.

·        Individuals will be expected to travel based upon the needs of the customer (25% to 75%).