Commercial Reserving Actuarial Analyst - Remote
AAA - CSAA Insurance Group, Vandalia, MO, United States
Employer Industry
Insurance
Why consider this job opportunity
Opportunity for career advancement and growth within the organization
Total compensation package includes performance bonus and 401(k) with company match
Flexibility to choose your preferred working location: remote, hybrid, or in-person
Supportive and inclusive company culture focused on community and service
Chance to work with innovative methodologies in loss reserving for commercial insurance
What to Expect (Job 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
Evaluate analytical work done by others and make informed recommendations
Provide training and support to Actuarial Analysts
What is Required (Qualifications)
BA/BS in statistics, mathematics, actuarial science, or a related area
Minimum of 5 years of experience in statistical and actuarial analysis in commercial or personal lines insurance
Completion of 5 or more actuarial exams
Proficiency in statistical analysis and programming languages such as SQL, R, and Python
Strong analytical and communication skills
How to Stand Out (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 knowledge of the actuarial industry
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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Why consider this job opportunity
Opportunity for career advancement and growth within the organization
Total compensation package includes performance bonus and 401(k) with company match
Flexibility to choose your preferred working location: remote, hybrid, or in-person
Supportive and inclusive company culture focused on community and service
Chance to work with innovative methodologies in loss reserving for commercial insurance
What to Expect (Job 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
Evaluate analytical work done by others and make informed recommendations
Provide training and support to Actuarial Analysts
What is Required (Qualifications)
BA/BS in statistics, mathematics, actuarial science, or a related area
Minimum of 5 years of experience in statistical and actuarial analysis in commercial or personal lines insurance
Completion of 5 or more actuarial exams
Proficiency in statistical analysis and programming languages such as SQL, R, and Python
Strong analytical and communication skills
How to Stand Out (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 knowledge of the actuarial industry
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