Data Analyst (actuarial)

Currently seeking a skilled Data Analyst with actuarial expertise.

Responsibilities:

• The Advanced Analytics team develops and maintains a collection of analytical solutions that span the Actuarial, Underwriting, Operations, Risk and Marketing spaces. Your primary responsibilities include the creation and maintenance of an exciting and important collection of advanced analytical solutions involving predictive modeling (statistical, machine learning), optimization and simulation.
• You will be especially involved in the analysis of lapse and mortality experience, and the modernization of the assumption setting process. Additional responsibilities will include developing cutting-edge underwriting triaging models, along with potential involvement in any of the other business areas mentioned above.
•  You will be highly engaged through all stages of a project. You will meet with business leaders to flesh out project objectives at the start. You will drive the data acquisition phase where you will collaborate with Data Engineers to identify data sources and query structured databases. You will transform the data and engage in advanced feature engineering to develop the analytical solution and perform model validation. Ultimately, you will document and present your results to a spectrum of business leaders, helping to transform the organization through modern, data-driven decision making

Qualifications:

• 5+years of life insurance or actuarial experience.
• Must have ASA (Associate of the Society of Actuaries) designation
• 2+ years of predictive modeling.
• Experience study for mortality and lapse background strongly preferred.
• Good familiarity with life underwriting preferred.

Requirements

• Strong working knowledge of R preferred Python OK.
  
• Spreadsheet and database capabilities (Excel, SQL).
  
• Visualization tool experience helpful (Tableau, Spotfire, QlikView)
  
• Excellent written and oral communication skills, including presentation skills.
  
• Strong documentation skills.
  
• Strong project management skills.
  
• Ability to multi-task in a deadline-oriented environment.
  
• Ability to work independently and collaboratively.
  
• Strong actuarial analytical skills and problem-solving ability.
  
• Self-motivated.
  

Education

• BS/BA in Math/Statistics, Masters in Statistics preferred.

Validation Tableau Analytical Skills Associate Life Insurance Analysis Actuary ASA Databases Project Management Statistics Python R SQL