1. What is the average salary of a Reinsurance Specialist?
The average annual salary of Reinsurance Specialist is $65,783.
In case you are finding an easy salary calculator,
the average hourly pay of Reinsurance Specialist is $32;
the average weekly pay of Reinsurance Specialist is $1,265;
the average monthly pay of Reinsurance Specialist is $5,482.
2. Where can a Reinsurance Specialist earn the most?
A Reinsurance Specialist's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer.
According to the latest salary data by Salary.com, a Reinsurance Specialist earns the most in San Jose, CA, where the annual salary of a Reinsurance Specialist is $82,558.
3. What is the highest pay for Reinsurance Specialist?
The highest pay for Reinsurance Specialist is $78,825.
4. What is the lowest pay for Reinsurance Specialist?
The lowest pay for Reinsurance Specialist is $47,346.
5. What are the responsibilities of Reinsurance Specialist?
Reinsurance Specialist performs routine reinsurance administrative duties, such as maintaining records, processing and verifying new business. Organizes the preparation of monthly and annual reports and ensures reinsurance information has been recorded accurately. Being a Reinsurance Specialist performs reconciliation of premium billing statements and DAC tax calculations and maintenance of various reinsurance operations. Researches and resolves the more complex cases and provides guidance to others. Additionally, Reinsurance Specialist may review work performed by others and train new staff. Works towards industry designations (e.g., FLMI, ARA, ACS, etc.). Requires a bachelor's degree. Typically reports to a manager or head of a unit/department. The Reinsurance Specialist gains exposure to some of the complex tasks within the job function. Occasionally directed in several aspects of the work. To be a Reinsurance Specialist typically requires 2 to 4 years of related experience.
6. What are the skills of Reinsurance Specialist
Specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
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Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
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Data Analysis: Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
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CFA: The Chartered Financial Analyst program is a postgraduate professional certification offered internationally by the American-based CFA Institute to investment and financial professional