Position: Antifraud Analyst
Category: Other
English level: upper
Years of experience: 2.5


Basic responsibilities:
• Investigating and analyzing suspicious transactions, activities, and behaviors to identify potential fraud or financial crimes.
• Conducting research and gathering information from various sources to detect and prevent fraudulent activities.
• AML monitoring.
• Monitoring and reviewing customer accounts, transactions, and other financial data to identify patterns and trends that may indicate fraudulent activity.
• Developing and implementing fraud prevention strategies, policies, and procedures.
• Managing and analyzing data to identify emerging fraud trends and patterns.
• Conducting internal investigations and preparing reports on suspected fraudulent activities.
• Mentoring new employees.

Almost all the soft was developed in companies I worked, but there are a few extras:
• ThreatMetrix (LexisNexis)
• Game Providers' panels. 

Additional initiative:
• Automating manual work using Python, including BeautifulSoup and Selenium. 

At first, I started working with Python as a hobby, as I found it interesting and wanted to learn more about it. Over time, I gained more and more knowledge and experience, and Python has become something that I really enjoy working with. Currently, I have a good understanding of the basics, including OOP (both theory and practical), SQL, Linux, Flask basics, and more. I have been self-studying and find it extremely enjoyable. I would love to join a team and use the skills that I have acquired.
I will not handle numerous payment approvals since I am not a financial operator. Additionally, I do not wish to handle KYC procedures.