Capgemini Walk-in Drive For Freshers

Capgemini Walk-in Drive For Freshers

Experience : 0 – 5 Years

Qualifications : B.Com

Job Location : Noida

Salary : Not Disclosed

Job Description :

We are conducting a mega walk-in drive for Freshers for the role of Sanctions Screening/ Transaction Monitoring/AML Fraud Specialist for Noida location.
Interested candidates kindly go through the JD mentioned below and walk-in as per the below mentioned schedule.

Interview Details :

• Interview Date : 1st April (Tuesday)
• Time : 10 AM 2 PM

Documents Required :

• Updated CV
• Govt. Photo ID Proof (Aadhaar/Pan Card)
• Copy of this interview call letter

Contact Persons: Parakh Mehta / Bindu Mishra

Specification / Skills / Experience :

• Perform name/transaction sanctions screening of real time hits for potential sanctions violations as per the internal and external watchlists
• Responsible for conducting Sanctions Screening for customers and incoming and outbound payments using LexisNexis Bridger
• Effectively investigate, document, and write dispositions with clear rationale substantiating the decision about the match being positive or false
• Identify anomalies, use judgment for to determine if case needs to be escalated for SAR/STR investigation and querying additional details, in order to make a more informed decision about the match
• 100% adherence to policies and procedures
• Produce accurate and quality work (95%) under tight deadlines and minimal supervision
• Assess if there is anything else unusual about the hit or identify red flags and record evidences
• Assess the relevance of the geographies of the remitter and beneficiaries of the transaction where there are grounds for suspicion or a requirement for guidance in relation to the hit
• Ensure accurate, complete, and up-to-date internal documentation to provide evidence of decisions and reasoning based on the facts and the potential ML/FT risk identified.
• Oversight of the daily workflow and management of the AML TM analysts
• Monitoring of alert queues and ensures required prioritization and allocations across the team
• Ensure standard processes, role and responsibilities, of the AML team while meeting / exceeding SLAs/KPIs across quality and throughput
• Support consistent hiring and performance management practices for a team of ~10-15
• Analyze and perform quality & productivity trends and reports feedback to internal & client leadership
• Deliver projects on time, on budget, with exceptional quality under tight deadlines & minimal supervision
• Act as a subject matter resource on AML TM policies and procedures for the team specific to the NA, EU or APAC jurisdictions being supported and get into the details of dispositioning alerts as and when needed
• Coach staff on the evaluation of client AML/reputational risk, including the identification of key issues and related mitigants, conducting independent research, verifying appropriate risk profile, and making independent risk assessment recommendations
• Review offline and online transactions like check or digital payments to identify fraudulent transactions via alerts generated by the fraud prevention monitoring system
• Need to monitor financial transactions, both online and offline, for any signs of suspicious activities and flag transactions that deviate from established patterns, such as unusual purchase amounts, frequency, or locations
• Analyze accounts and data to identify suspected fraud activity.
• Check and investigate accounts and transaction patterns to determine existing fraud trends.
• Analyze customer behavior to identify fraudulent patterns and perform holistic review of the available data and information to provide insights and recommendations
• Decision making by classifying the triggered alert as false positive or for further investigation
• Meet the necessary production targets and ensure accurate and quality output (90-95%) under tight deadlines and minimal supervision.
• Any industry recognized AML certification will be a plus
• Fluent in English (spoken and written)

Walk-in Drive Details Here: