NBC Sports Next

Senior DTC Fraud Detection Engineer

Remote US
USD 115k - 140k
Python Streaming Machine Learning
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Description

Company Description

We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. Our Diversity, Equity and Inclusion initiatives, coupled with our Corporate Social Responsibility work, is informed by our employees, audiences, park guests and the communities in which we live. We strive to foster a diverse, equitable and inclusive culture where our employees feel supported, embraced and heard. Together, we’ll continue to create and deliver content that reflects the current and ever-changing face of the world.

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

Qualifications

Basic Requirements:

  • Bachelor’s Degree in an IT related field or equivalent work experience
  • 7+ years hands-on experience in Detection Engineering, Incident Response, or similar Security Engineering roles with a focus on fraud detection and mitigation
  • 3+ years of experience leveraging Python to build threat detection functions, security tool development, automation, and overall programmatic solutions that will be used to defend infrastructure
  • Proficiency in engineering threat detections and developing investigative dashboards within SIEM platforms, preferably Splunk
  • Working knowledge of web protocols and adept at web application security, with knowledge of Web Application Firewall controls, and general mitigation strategies at the edge
  • Knowledge of industry recognized security and analysis frameworks such as OWASP, MITRE ATT&CK Framework and associated threat actor techniques
  • A combination of proven investigative skills and effective engineering skills
  • Experience working with a remote team spanning multiple locations/time zones
  • Ability to quickly learn and adapt to new/changing technologies
  • Exceptional written and verbal communication skills
  • Strong leadership and project management skills, with the ability to drive initiatives to successful completion
  • Ability to be on-call and provide support during nontraditional working hours

Desired Characteristics:

  • Previous experience supporting Incident Response and Threat Monitoring SOC functions
  • Hands-on experience working with SOAR platforms
  • Strong understanding of DTC or streaming platforms
  • Previous experience or understanding of machine learning, AI capabilities, and data science
  • Relevant certifications (GCIA, GCIH, GCFA, GNFA, etc.)

Additional Requirements:

  • Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $115,000 - $140,000 (bonus eligible)

We are accepting applications for this position on an ongoing basis.

Additional Information

NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com.

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