Abuse Investigator
Investigates and leads response to high-risk fraud and product-abuse incidents, analyzes threat patterns, and drives root-cause and prevention improvements. Requires 3+ years of incident response and fraud-oriented data analysis, plus Python, SQL, and security investigation expertise.
About the job
Responsibilities
- Investigate, mitigate, and remediate urgent fraud incidents, including account takeovers and card testing, using detection and signal-enrichment techniques.
- Analyze high-risk accounts to identify fraudulent merchants, card testing, account takeovers, and other fraud vectors; classify threats using Fraud Taxonomy 3.0 (FT3).
- Lead incident root-cause analyses to identify gaps in systems and strategies and drive improvements for emerging fraud risks.
- Streamline incident-response tooling and processes for clarity, accuracy, and efficiency.
- Collaborate with security, fraud, and data science teams to build agentic solutions for responding to abuse incidents at scale.
- Work with legal and policy teams to assess and mitigate risks.
- Lead projects, mentor teammates, and develop quality standards.
Requirements
- 3+ years of experience conducting incident response in security, product abuse, or trust domains.
- 3+ years of experience analyzing large datasets to solve problems and/or building behavioral fraud-detection models.
- Bachelor's or master's degree in Computer Science or a related field, or equivalent experience.
- Expert knowledge of Python and SQL, with familiarity with other programming languages.
- Experience with log analysis, network security, digital forensics, and incident-response investigations.
- Strong communication, problem-solving, and risk-reduction skills.
Nice-to-haves
- Adversarial mindset and understanding of threat-actor goals, behaviors, and tactics, techniques, and procedures (TTPs).
- Experience with engineering, data-processing, and analysis tools such as Databricks and Trino.
- Familiarity with big-data processing and data-science frameworks such as PySpark, Pandas, and scikit-learn.
- Experience with tactical threat intelligence and hunting sophisticated threat actors in enterprise environments.
- Experience addressing complex product-integrity challenges through data-driven, user-centric approaches.
Skills
Python, SQL, Log Analysis, Network Security, Digital Forensics, Incident Response, Fraud Detection, Databricks, Trino, Pyspark, pandas, scikit-learn, Threat Intelligence, Data Analysis
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