1. What is the average salary of a Fraud Prevention Manager?
The average annual salary of Fraud Prevention Manager is $107,787.
In case you are finding an easy salary calculator,
the average hourly pay of Fraud Prevention Manager is $52;
the average weekly pay of Fraud Prevention Manager is $2,073;
the average monthly pay of Fraud Prevention Manager is $8,982.
2. Where can a Fraud Prevention Manager earn the most?
A Fraud Prevention Manager'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 Fraud Prevention Manager earns the most in San Jose, CA, where the annual salary of a Fraud Prevention Manager is $135,273.
3. What is the highest pay for Fraud Prevention Manager?
The highest pay for Fraud Prevention Manager is $138,600.
4. What is the lowest pay for Fraud Prevention Manager?
The lowest pay for Fraud Prevention Manager is $85,120.
5. What are the responsibilities of Fraud Prevention Manager?
Fraud Prevention Manager manages a team of analysts responsible for the detection, prevention, and mitigation of fraudulent transactions. Develops cross-functional initiatives to proactively detect and prevent fraud from occurring. Being a Fraud Prevention Manager approves and implements recommendations for process and procedure improvements. Reviews and implements best practices in the fraud prevention industry. Additionally, Fraud Prevention Manager ensures compliance with all relevant anti-fraud regulations and standards. Creates reports outlining trends, risks, and mitigation strategies. Requires a bachelor's degree. Typically reports to a director. The Fraud Prevention Manager manages subordinate staff in the day-to-day performance of their jobs. True first level manager. Ensures that project/department milestones/goals are met and adhering to approved budgets. Has full authority for personnel actions. To be a Fraud Prevention Manager typically requires 5 years experience in the related area as an individual contributor. 1 - 3 years supervisory experience may be required. Extensive knowledge of the function and department processes.
6. What are the skills of Fraud Prevention Manager
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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Leadership: Knowledge of and ability to employ effective strategies that motivate and guide other members within our business to achieve optimum results.
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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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Commercial Banking: Is a profit oriented banking by providing loans to customers and charging interest. The bank’s funds come from money deposited by the bank customers in saving accounts, checking accounts, money market accounts, and certificates of deposit (CDs).