Job Description

Key Responsibilities: Configure, modify, and implement fraud detection and prevention rules using Falcon tools based on the requirements provided by clients. Collaborate with internal teams and clients to identify potential fraud risks and develop rules that mitigate these risks. Monitor and analyze fraud detection systems to ensure that rules are working as expected and adjust them to improve detection accuracy. Extract and analyze data using SQL queries (including all types of joins) to evaluate the effectiveness of fraud detection rules. Work closely with data analysts and fraud prevention teams to interpret fraud trends and adjust rule configurations accordingly. Assist in troubleshooting and resolving rule configuration issues and system alerts. Provide documentation and detailed reports on fraud prevention activities, rule performance, and system updates. Stay updated on emerging fraud trends, prevention technologies, and strategies in the payments industry. Qualifications: 1-2 years of experience working with fraud detection/prevention tools in the payments domain (Falcon experience is a plus). Solid understanding of fraud prevention strategies, tools, and trends within the payments industry. Basic scripting knowledge (Python, JavaScript, or similar languages) for automating rule configurations and data extraction tasks. Proficiency in SQL, with the ability to write and optimize queries for data extraction and analysis (including all types of joins). Experience working with large datasets and analyzing data to identify patterns of fraudulent activities. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills and the ability to work collaboratively in a team-oriented environment. Knowledge of industry regulations and compliance standards related to fraud prevention and payments.