Security Analyst Investigator Financial Threats

Overview of the Security Analyst Investigator Financial Threats Role at Meta

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 Investigator Financial Threats 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 actors who seek to run sophisticated scam operations against our users. This role offers the opportunity to work on some of the most challenging, complicated, and high-visibility risks the company is facing.

We are looking for 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. The ideal candidate should be results-driven, motivated, and able to extract, assimilate, and correlate a wide variety of data 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 being a requirement. Extensive experience investigating and mitigating high-severity, sophisticated scams, preferably on large-scale platforms/products, is highly desirable.

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

• 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 teams.
• Experience working on high-impact threats under compressed timelines.
• Experience prioritizing and executing with minimal direction or oversight.
• Bachelor's Degree in Computer Science, Data Engineering, Cyber Security or a related field, or equivalent technical work experience.

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.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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.

Key skills/competency

• Security Investigations
• Financial Threats
• Scam Operations
• Fraud Detection
• SQL
• OSINT
• Data Analysis
• Risk Mitigation
• Adversarial Behavior
• Project Management