Senior Dtc Fraud Detection Engineer

Job Description
The NBCUniversal DTC Fraud Defense team is responsible for detecting, responding to, and preventing various types of consumer fraud including customer account takeovers, payment fraud, and content platform abuse. With this role, you'll be at the forefront of protecting our platforms and customers from fraudulent activities.
The Senior DTC Fraud Engineer will utilize sophisticated systems to detect and prevent the various types of web attacks and consumer fraud facing DTC systems, while leveraging a deep understanding of data analysis, machine learning, and anomaly detection techniques to build robust systems capable of flagging suspicious activities in real-time. This role is a pivotal position in helping shape the NBCUniversal fraud defense strategy, actively contributing to the identification of operational gaps within security processes and proposing viable solutions. Collaboration with cross-functional teams across incident response, detection engineering, security architecture, piracy, and customer support will be integral to this role. A successful candidate will collaborate closely with platform engineering teams to integrate new data sources for fraud detection capabilities into our SIEM, and build a model for detecting and alerting on fraudulent activities. This includes providing insights into data source requirements, developing enrichment pipelines, and ensuring effective use case analytics to enhance the fidelity of fraud detections. Engineers will conducting periodic reviews and assessments of our fraud detection and monitoring strategies to identify areas for optimization and improvement. By staying abreast of industry best practices and emerging technologies, you'll help drive initiatives to enhance our capabilities to effectively detect and respond to fraud incidents. The fraud engineer will work closely with other analysts to investigate fraud alerts, perform log analysis, and make conclusions on findings related to threats.
Beyond your core responsibilities, you'll have the opportunity to demonstrate you leadership and project management abilities by engaging in special projects and initiatives aimed at further strengthening our fraud defense capabilities. This role offers a dynamic and challenging environment where your expertise in fraud detection and mitigation, coupled with your strong leadership and analytical skills, will be instrumental in ensuring a secure and trustworthy experience for our users on our DTC platform's.
Responsibilities:
Day-to-day operational tasks related to the ongoing support of DTC Fraud Defense
Engineer detections to identify fraudulent activities, including account takeovers, payment fraud, and content/platform abuse
Develop investigative dashboards in the SIEM to aid in fraud investigations and modeling user streaming behaviors
Analyze large complex datasets, develop rules for detecting and deterring fraud, and make accurate determinations
Analyze large volumes of transactional and user data to identify suspicious patterns or behaviors indicative of fraudulent activities
Proactively hunt for threats and undetected abuse by leveraging internal data, open-source intelligence, and third party private intelligence with a goal of detection creation
Investigate complex cases to understand how abuse is occurring on web applications and work with stakeholders to recommend enforcement strategies for mitigation
Lead in cross-functional projects to improve our capabilities to effectively detect and respond to fraud incidents
Collaborate with platform engineering teams to onboard new relevant fraud log sources to our SIEM providing insights including data source requirements and use case analytics
Develop enrichment pipelines and automation to enhance the fidelity of fraud detections
Evaluate and implement AI and machine learning solutions to develop an automated fraud monitoring operation
Support investigations and respond to security alerts, and initiate incident response actions to detect, contain, and remediate security incidents
Conduct periodic reviews and assessments of fraud detections/monitoring strategies to identify areas for improvement and optimization
Communicate findings, risks, and gaps to both technical and non-technical audience