Prakash V

• Company Overview: Client - Al-Rajhi Bank
• Data Analyzing on customer transactions and placing rules for MADA Debit card and Visa Credit Card transactions in Fraud Solutions systems such as SAS, CORTEX and VRM to prevent digital frauds-Social Engineering
• Analyzing Apple pay, MADA Pay & SAMSUNG Pay tokenization frauds and placing rules in APEX Green & VRM
• Analyzing authentication transactions in VCAS and placing rules based IP address and other digital attributes
• Analyzing digital events and sessions in GIB and terminates fraud session using rules
• Analyzing MADA, Visa Transactions and Apple Pay, MADA Pay & Tokenization
• Preparing weekly, monthly fraud MIS and reporting to SAMA
• Handling escalation cases- SAMA complaints
• Analyzing BIG data's using SPLUNK and SQL
• Preparing presentation using POWER BI for committee meetings
• Analyzing merchant behaviors and placing rules in CORTEX to control fraud on acquirer level
• Analyzing new merchant On-boarding (Ecommerce & Soft POS)
• Coordinate with big merchants & schemes to prevent fraud
• Rule Review Assessment on monthly bases to identify effectiveness of RTD, Case creation and Token Provisioning rule
• Review fraud reported transactions on our acquiring merchants and suggest merchants or aggregators to place controls accordingly

Role and Responsibilities:

• Rule creation using statistical techniques to alert/decline suspicious credit/debit card transactions in Fraud Monitoring Systems such as ACI Proactive Risk Manager (PRM), VISA FMS, MASTER CARD FMS CMS, Vision Plus and eGuard(FRM)
• Managing an Advanced Fraud Monitoring System exclusively for secured online transactions to detect suspicious transaction in real time
• Handled Project and System enhancements/automation for the Cards and Digital wallet
• Analyzing prospective business impact and ensuring rules that are placed to address fraud trends does not have any impact on the genuine customer spends
• Monitoring of fraud trends time-to-time and put in place necessary modifications in risk detection parameters
• Ensure immediate identification of the point of compromise & action on the impacted cards used in the compromise point
• Responsible for sending cancellation mails to appropriate merchant on identifying a fraud incident to stop and refund the affected customer and also to check the beneficiary for customer involvements
• Publishing necessary MIS and analysis reports
• Fraud Data Analytics

• Lead Fraud Management team (AML transactions monitoring & KYC Verification) Monitored high risk country & PEP and Sanction updates from authorities and updating system
• Coordination with third parties for KYC Verification, PEP & Sanction and Cyber check screening responses
• Co-ordination with Payment gateways for fraud velocity rules and thresholds changes based on fraud trends
• Create and Update AML rules and Fraud Rules based on new trends

• Create new to rule to monitoring team for new rule deployment in system and allocating resource to observe alerts and declines
• Coordinating with merchants for fraudulent transaction cancellations and beneficiary details
• Coordinating with Regional team for case closure and money mule activities
• Creating new rules in systems to control frauds Handling high value disputes and escalations

• Monitoring online mobile top-up transactions in payment gateways and blacklisting respective fraudulent credit, debit cards and mobile numbers
• Deduping IPs and Device address to find fraudulent transactions
• Analysing customers Address proof documents to whitelist velocity card numbers and mobile numbers
• Black listing fraudulent debit, credit cards and mobile numbers in payment gateways Handling Chargeback files which received from issuer banks and blocking respective mobile numbers
• Create or remove fraud rules based on current fraud trends by giving suggestions to analytical team

• Company Overview: HDB Finance (HDFC BANK) - Fraud Control Unit
• Managed Online secure and unsecure transactions
• E-commerce online secured transactions are monitored and precedence
• Real time monitoring for secured online transaction done through e-guard System at Authentication level
• Authentication level monitoring done through Accosa (ACS- HDFC BANK)
• Each online transaction's scores will be created depends upon IP, Device ID, Browser, Browser ID, IP Country, OS and OS- Version and Merchant
• Based on score level system categorizes seven ratings of alerts like Deny, OTP STEPUP, Critical, High, Medium, Low, and Accept
• Real-time Fraudulent and suspicious transactions are monitored and placing temporary block on card to avoid further misuse through PRM and VISON PLUS (Credit card) and CMS (Debit card)