Actuarial Intern

Coaction GlobalMorristown, NJ
Onsite

About The Position

Coaction Specialty Insurance is offering an exciting opportunity to entrepreneurial and ambitious college students interested in an actuarial career. Coaction’s Actuarial department works with internal customers across a wide range of all lines of business, helping them to keep the big picture in focus while being able to dive into unique and complex business challenges. You will draw upon your strong mathematic, technical, and problem-solving skills to analyze data while learning about the Property & Casualty industry and insurance company operations. You will have the opportunity to work individually and collaboratively with actuaries as well across various areas that may include such areas as underwriting, claims, and/or corporate risk management.

Requirements

  • Eligible candidates MUST be rising juniors with a targeted graduation date of May 2028 (2026, 2027, or 2029 graduates will not be eligible).
  • Students must currently be in pursuit of their Bachelor’s Degree in business, finance or a related field
  • Students with strong analytical skills and a solid mathematical framework
  • Proficiency in Excel
  • Experience in working with databases
  • Determination to learn new technical skills
  • Excellent organizational and time management skills
  • Effective oral and written communication skills
  • Embraces new challenges and develops innovative solutions to problems
  • Strong sense of curiosity
  • Actively pursuing the actuarial exams with preferably at least one exam passed
  • Minimum GPA of 3.5

Nice To Haves

  • SQL coding experience preferred

Responsibilities

  • Assist actuaries with reserving, pricing, catastrophe modeling, or capital modeling initiatives
  • Research industry and competitor results for benchmarking
  • Develop price monitoring capabilities
  • Assemble, verify, and analyze exposures used for catastrophe modeling
  • Document all new processes (as well as existing ones to the extent they are incorporated in role)
  • Reconcile final dataset outputs to ensure no coding or system errors
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