Senior Research Analyst Insurance/CT/To $125K

Senior Research Analyst
Insurance Personal Lines
To $125K Based on Skills and Experience
Bonus Eligible
Hartford CT
Relocation Assistance Available
H1B Candidates Eligible

With more than 200 years of expertise, our client is a leader in property and casualty insurance, group benefits and mutual funds. The company is widely recognized for its service excellence, sustainability practices, trust and integrity.

The Senior Research Analyst will develop and maintain various Home Insurance work products. The individual will also assist in development of vital analytical tools that will enable the firm to better manage and monitor our products. The individual will perform actuarial and statistical analysis to enhance our tools and methods. He/she will assist in developing repeatable processes to support research efforts, in developing statistical and data mining skills across Predictive Analytics, work, and participate in project teams both internal and external to Predictive Analytics as needed.


  • Build predictive models using GLM, CART, logistic regression, and other means, in support of implementation of new rating plans and other initiatives.
  • Validate, manipulate and perform exploratory data analysis tasks on analytical data sets.
  • Provide qualitative and quantitative data support to ensure accuracy of characteristics and metrics.
  • Analyze new data sources for availability and quality, and integrate with internal sources to support research or analytics. Build repeatable processes.
  • Test and evaluate new software and methodologies.
  • Regular communication with Predictive Analytics team and internal customers.

Technical/Functional Skills:

  • Working knowledge of statistical modeling tools.
  • SAS programming skills.
  • Understanding of the Consumer Markets business and the pricing of related insurance products.
  • Ability to work as well as part of a team; builds effective relationships.
  • Critical thinking.


  • Strong analytical and data manipulation skills, including programming experience.
  • Knowledge of insurance, and of our data and related systems.
  • Builds effective relationships with internal and external customers.
  • Contributes creative ideas.
  • Deliver Outcomes - Demonstrate a bias for speed and execution that serves our shareholders and customers.
  • Operate as a Team Player - Work together to drive solutions for the good of the organization.
  • Build Strong Partnerships - Demonstrate integrity and build trust with others.
  • Strive for Excellence - Motivate yourself and others to achieve high standards and continuously improve.



  • Degree in statistics, actuarial science, economics, computer science, or other quantitative field required; advanced degree preferred.
  • 1+ years experience in statistical modeling or analysis required; 2-3 years relevant insurance experience (underwriting, product management, product development, actuarial) preferred.
  • Strong quantitative skills required.
  • 1+ years computer programming experience, SAS preferred .
  • Knowledge of Consumer Markets technology platforms, workflows, and business processes preferred.

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