Commercial Reserving Actuarial Analyst - Remote
AAA - CSAA Insurance Group, Rutherford, New Jersey, us, 07070
Overview
Employer Industry:
Insurance
Why consider this job opportunity:
Opportunity for career advancement and growth within the organization
Work remotely from anywhere in the continental U.S.
Performance bonus and a total compensation package that includes a 401(k) with a company match
Supportive and inclusive company culture focused on community service
Engage in innovative projects that shape the future of insurance
Responsibilities
Prepare and coordinate analyses of monthly and quarterly loss reserves
Perform complex analysis of data with minimal oversight
Develop and analyze new methodologies for Commercial insurance loss reserving
Follow developing trends in the market landscape
Provide training to Actuarial Analysts
Qualifications
BA/BS in statistics, mathematics, actuarial science, or a related area
At least 5 years of experience performing statistical and actuarial analysis on Commercial or Personal lines insurance (Commercial Auto preferred)
Completion of 5 or more actuarial exams
Proficiency in statistical analysis and programming languages, such as SQL, R, Python, etc.
Strong analytical and communication skills
Preferred Qualifications
Experience in actuarial analysis on Commercial Auto lines insurance
Effective computer software programming skills
Proven problem-solving and critical thinking skills
Ability to work effectively in a team environment
Basic actuarial industry knowledge
#Insurance #ActuarialScience #RemoteWork #CareerOpportunity #DiversityAndInclusion
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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Insurance
Why consider this job opportunity:
Opportunity for career advancement and growth within the organization
Work remotely from anywhere in the continental U.S.
Performance bonus and a total compensation package that includes a 401(k) with a company match
Supportive and inclusive company culture focused on community service
Engage in innovative projects that shape the future of insurance
Responsibilities
Prepare and coordinate analyses of monthly and quarterly loss reserves
Perform complex analysis of data with minimal oversight
Develop and analyze new methodologies for Commercial insurance loss reserving
Follow developing trends in the market landscape
Provide training to Actuarial Analysts
Qualifications
BA/BS in statistics, mathematics, actuarial science, or a related area
At least 5 years of experience performing statistical and actuarial analysis on Commercial or Personal lines insurance (Commercial Auto preferred)
Completion of 5 or more actuarial exams
Proficiency in statistical analysis and programming languages, such as SQL, R, Python, etc.
Strong analytical and communication skills
Preferred Qualifications
Experience in actuarial analysis on Commercial Auto lines insurance
Effective computer software programming skills
Proven problem-solving and critical thinking skills
Ability to work effectively in a team environment
Basic actuarial industry knowledge
#Insurance #ActuarialScience #RemoteWork #CareerOpportunity #DiversityAndInclusion
We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
#J-18808-Ljbffr