Fraud Analyst

Job Description

• To provide internal and external technical support related to fraud parameters, configurations and ticket inquiries regarding MCP fraud module and fraud analysis.
• Have adept understanding of PCI (Payment Card industry), PCI standards and compliances, network operations, transaction flows, issuer-processing, type of clientele, fraud processes and SOPs.
• Perform real-time monitoring and statistical analysis related to fraud.
• Improve existing fraud monitoring tools and analysis techniques through application of widely known tools (MS Excel, MicroStrategy, PowerBI, SQL, Python, R) for process optimization and automation.
• Must be able to understand i2c fraud engine, validation schemes and flex hierarchy as well as transaction identifiers for fraud analytics and technical support.
• Initiate engineering inquiries, EQPIs, BRDs, RPCs in case, an issue is identified with fraud controls in the production environment.
• Must possess relevant backend and frontend knowledge to identify, troubleshoot, and rectify fraud control-based issues requested by extended teams or the client.
• Equipped to handle direct client interactions involving technical support/escalations/fraud issues.
• Utilize well-known tools/programming for analysis and for automation of fraud monitoring tasks.

We are looking for

• Education: BS (CS, SE, IT), BBIT, MBIT
• Experience: 1-3 Years

Skills

• Effective communication skills, well versed in technical writing, business communication and spoken English.
• Readily available for flexible shift timings.
• Well-acquainted with relational database languages such as SQL.
• Base-knowledge about Linux operating system and OS commands including Linux Scripting.
• Well-acquainted with MS Office software but not limited to MS Excel, MS Word, MS PowerPoint.
• Well-acquainted with scripting languages i.e., Python, R, etc.
• Well versed in Statistics and Advanced Statistics concepts along with their application on large data sets, population samples.
• BONUS Skills: Tableau, Power-BI, AI concepts (Data Analytics using Machine Learning and AI), IBM SPSS.