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Fraud Analyst

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Salaries for Fraud Analyst

City
Median
New York
$105,000
San Francisco
$113,000
Seattle
$112,000
See all salaries
City
Median
New York
$105,000
San Francisco
$113,000
Seattle
$112,000
Austin
$89,000
Toronto
$77,000
London
£95,000
Paris
€46,000
Berlin
€60,900
Tel Aviv
₪93,800
Singapore
S$110,000
Beijing
¥106,000
Shanghai
¥65,000
Shenzhen
¥575,000
Bengalaru
₹497,000
Delhi
₹439,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Fraud Analyst

Take the first step.
We've curated 24 courses to help you on your path to Fraud Analyst. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

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Provides a guide to payment systems for lawyers. It good resource for anyone who is interested in the legal aspects of payment systems.
Provides a comprehensive overview of payment systems, covering topics such as the history of money, the role of central banks, and the different types of payment instruments. It is an excellent resource for anyone who wants to learn more about the fundamentals of payment systems.
Explores the future of payment systems and discusses how technology will shape the way we pay. It good resource for anyone who wants to learn more about the latest trends in payment systems.
Provides a theoretical overview of payment systems. It good resource for anyone who wants to learn more about the economic and mathematical foundations of payment systems.
This report provides a survey of cutting-edge innovations in payment systems. It good resource for anyone who is interested in the latest trends in payment systems.
Provides an overview of real-time big data analytics, covering challenges, solutions, and applications in various domains, focusing on real-time stream analytics and processing techniques.
Provides a detailed overview of payment systems, both domestic and international. It good resource for anyone who wants to learn more about the technical aspects of payment systems.
Provides practical advice on how to detect and prevent fraud. It covers a variety of topics, including fraud risk assessment, fraud investigation, and fraud prevention controls. It valuable resource for anyone who wants to learn more about fraud detection and prevention.
Focuses on using real-time data for business intelligence, covering techniques, applications, and case studies in various business domains.
Focuses on how to use real-time data for crime forecasting and prevention, covering predictive policing techniques, applications, and case studies.
Focuses on how to use real-time data for anomaly detection, covering techniques, applications, and case studies in various domains.
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