Security Analyst - Investigator (Financial Threats)

Description

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.

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

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 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

Compensation: $167,000/year to $233,000/year + bonus + equity + benefits