Be the team member for helping Fraud detection using statistical and analytical methods
Use analytical and statistical means to identify fraud patterns within data in residence.
Utilize exception reports, surveillance, and other information to perform analysis in order to recommend strategies/rules for fraud prevention
Conduct periodic checks using statistical concepts and theories to analyze and collect data to validate and quantify risk.
Involved in Risk prioritization for fraud rules
Development of Algorithms for Visualization and statistical tools is essential.
Expertise on R is preferred.
Adhering to best practices, and alignment with the Customers security requirements for project execution, documentation, and reporting
Interaction with multi-disciplinary teams for timely meeting of key project milestones and checkpoints
Contribute to practice development by creating reusable components and document key project-learning within the consulting practice
The candidate should have sound knowledge and experience in: QRadar architecture. QRadar deployment architecture.
QRadar cloud architecture. Using QRadar reference data collections. Advanced search using AQL and its use cases.
Knowledge in configuring the QRadar log source and parsing order. QRadar SIEM log source custom properties. How to configure rule actions in QRadar SIEM. Managing custom rules in QRadar SIEM. How to locate rules that triggered in QRadar SIEM. Creating custom log sources in QRadar SIEM. Utilizing the log event extended format (LEEF) and CLF in QRadar.
QRadar SIEM API. QRadar SIEM integration extension. Event mapping and creation of custom DSM. QRadar troubleshooting. Configuring roles and security profiles in QRadar. Integration of different log sources on the QRadar appliance. Experience in creation of dashboards to monitor the behavioral of network and traffic flow.
Adequate knowledge of UNIX/ LINUX platform and strong fundamentals. Knowledge in AWS and QRoC. Shell scripting. Firewall and proxy configuration. Good To Have: Knowledge in QRadar App development. Packaging and exporting of extensions. Any programming language like Java or Python.
