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Associate Fraud Analyst (07 Positions)

Lahore, Pakistan
Purpose of Job (The Business Case)
  • 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 and near-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.

KEY RESPONSIBILITIES
  • Must be able to understand i2c fraud engine, validation schemes and flex hierarchy as well as transaction identifiers for fraud analytics and technical support.
  • To provide internal and external technical support related to fraud parameters, configurations and ticket inquiries regarding MCP fraud module.
  • 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.

Education: Min 16 years education (BS(CS), BBIT, MBIT, BS (IT), BS (SE)
Experience: 0 to 1 year

Knowledge, Skills & Personal Characteristics
 
  • 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 most used OS commands including Linux Scripting.
  • Well-acquainted with Office software, including 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 concept along with their application on large data sets, population samples.
  • Acquainted with basic Machine learning and Artificial intelligence concepts

Specific Tools, Technologies, or Equipment Skills
 
  • Mandatory Skills: SQL, Python, R, Linux
  • BONUS Skills: Tableau, Power-BI, AI concepts (Data Analytics using Machine Learning and AI), IBM SPSS
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