NISG - Senior Manager - Analytics - Fraud Detection & Prevention

Experience/Educational Qualification :

- B.E./ B.Tech/BBA/BCA or M.Tech. / MCA with a graduation in any discipline

Experience :

- Minimum 8 years

- At least 06 years- experience in fraud investigation & fraud risk Management

- Certifications (mandatory) - CHFI/CISSP/CISM/CISA/CRISC/ CFE

- Experience in Data analytics, Big data analytics

- High logical and analytical capability

- Experience in fraud analytics in Financial sectors such as Banking/insurance, telecom sector

- Experience in fraud analytics in Payment card industry

- Experience in Business analytics/ Artificial Intelligence /Payment cards

- Experience in all aspects of the fraud prevention/detection in multiple domain,including utilizing fraud prevention software

- Experience in conducting forensic investigations and use of forensic tools

- Must be highly skilled in law enforcement or other investigatory experience

- Strong knowledge of Operational Risk best practices

- Good working knowledge of technology systems, e - Commerce, Online/Electronic

- Payments, Accounting/Finance analytical skills with proven ability to identify and develop solutions to improve fraud stabilization and avoidance

- Understanding on forensic Investigation procedures and Coordination

- Knowledge on Aadhaar Act, IT ACT, regulatory implications and other Govt. statutory requirements

- Preferably CIA/CFE certification or equivalent Industry (Biometrics, Identity,Banking, etc- as applicable) knowledge

- Experience in Biometric technology is preferable

Job Profile:

- Manage Fraud Monitoring Detection & Prevention programs for UIDAI

- Establish policy, procedures and practices for prevention, monitoring, reporting, investigations and fraud recovery

- Daily monitoring of fraud risk, which shall include identification of fraudulent and suspicious activities

- Coordinate fraud transactions screening rules, risk strategy & policy, manage early warning detection systems for all authentication and verification platforms, identify and develop fraud based risk control enhancements

- Identifying and developing pre-emptive risk controls across weighted risk approach, managing detailed risk analysis and other loss mitigating initiatives.

- Identify and build fraud scenarios based on organization model, design and process interfaces

- Maintain and track Fraud Knowledge management system and review periodically

- Investigation of frauds and conduct root cause analysis of various frauds occurring in the ecosystem (including but not limited to enrolment and authentication)

- Revise the fraud rules and scenarios based on the learnings from the frauds that are materialized

- Coordinate for implementation of fraud analytic tools

- Implement and optimize fraud risk models and strategies.

- Analyze systems, procedures and products and suggest improvements

- Identify and document business impact for identified fraud scenarios

- Fraud Scenario identification, Simulation and Analytics system Design

- Fraud Management, Intelligence Detection and prevention across the Enterprise Ecosystem

- Develop an program for fraud reporting from the field / whistleblowing

- Conduct Forensic investigations Fraud Management, Intelligence Detection and prevention across the Enterprise Ecosystem