Summary:
The Integrity, Investigations, Intelligence and Events (i3E) teams at Meta are dedicated to protecting the users of our family of applications (e.g. Facebook, Instagram, WhatsApp) from a multitude of threats including: criminal organizations, human trafficking/exploitation, and scams/fraud. We are seeking a security analyst to drive detection and mitigation strategy and execute large-scale, highly complex technical investigations in order to protect our users against the threat posed by threat actors who seek to run sophisticated scam operations against our users. You will have the opportunity to work on some of the most challenging, complicated, and high-visibility risks the company is facing.We are seeking an experienced analyst with expertise in project/program management who can work across a large set of stakeholders to implement change, anticipate how threats will evolve, and recommend, own, and drive scaled mitigations. They should be results driven, motivated and must be able to extract, assimilate, and correlate a wide variety of data in order to surface, analyze, and disrupt threat actors across multiple spaces. Successful candidates should have proficiency in various technical investigative skills, with practical experience in SQL is required. Extensive experience investigating and mitigating high-severity, sophisticated scams, preferably on large-scale platforms/products, is highly desirable.
Required Skills:
Security Analyst - Investigator (Financial Threats) Responsibilities:
Investigate sophisticated scammer behaviors to understand how abuse manifests on Meta's platforms and the wider information ecosystem using a variety of tooling/techniques including innovative deployment of AI solutions where appropriate
Lead a portfolio of investigative research to include identifying abuse trends, understanding adversarial behavior, and designing/driving forward-looking enforcement strategies to mitigate harm
Leverage expert knowledge/experience in the field of fraud and scams in the application of this work
Own end-to-end complex scam investigations and partner directly with Policy, Ops, Engineering, Product, and Legal teams to translate findings into scaled mitigations
Proactively hunt for threats and undetected abuse by leveraging internal data sets, open-source intelligence, and third-party private intelligence
Analyze qualitative and quantitative data to advance investigations, quantify trends and support findings with clear, concise evidence
Take a lead role in developing and refining investigative techniques, analytic methodologies, intelligence processes, and tools
Synthesize abuse telemetry and qualitative insights into decision-ready assessments and recommendations that drive prioritization and result in concrete mitigations across investigations, engineering, policy, and product teams
Apply operational rigor to investigations, analysis, and programs while looking for strategic improvement opportunities
This role may involve exposure to graphic and/or objectionable content including but not limited to graphic images, videos and writings, offensive or derogatory language, and other potential objectionable material, i.e. child exploitation, graphic violence, self-injury, animal abuse, and other content which may be considered offensive or disturbing
Minimum Qualifications:
Minimum Qualifications:
8+ years work experience performing security investigations in government, intelligence, cyber security, journalism and/or private sector organizations
Demonstrated subject matter expertise in large-scale scam/fraud operations
Experience leveraging SQL, OSINT, and network security concepts in an investigative context
Adept at developing multi-source, evidence-based findings and communicating them to different stakeholders and leadership team
Experience working on high-impact threats under compressed timelines
Experience prioritizing and executing with minimal direction or oversight
Bachelors Degree in Computer Science, Data Engineering, Cyber Security or related field or equivalent technical work experience
Preferred Qualifications:
Preferred Qualifications:
Experience working with Python, PHP, or similar scripting languages
Proven experience conducting large scale data analysis and utilizing big data tools such as Jupyter Notebook, Maltego, etc
Experience with link analysis/graph-style investigations (entity resolution, clustering, relationship mapping)
Experience in assessing/deploying AI driven solutions for detection/enforcement
Experience designing and managing projects that have enterprise-wide impact and/or multi-organization cross functional stakeholders
Experience working with a team spanning multiple locations/time zones
Experience with open source investigation techniques and familiarity with a variety of internet research tools
Experience working with payments/financial abuse concepts
Public Compensation:
$167,000/year to $233,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
