Abuse Research Engineer

Responsibilities

We are representing a confidential fintech organization seeking an Abuse Research Engineer to join their proactive threat research function. In this role, you will safeguard a critical financial platform by conducting hypothesis-driven threat hunting, dissecting complex fraud vectors, and extracting actionable adversary intelligence before threats impact production systems.

Your core responsibilities include:

• Proactive Threat Hunting & Kill Chain Analysis: Formulate hypotheses and conduct iterative threat hunting operations across internal telemetry and external data sources to uncover fraudulent tools, tactics, and techniques.
• Taxonomy Application: Apply and enrich multi-layered fraud taxonomies across empirical datasets and incidents, standardizing threat intelligence across kill chain phases and targeted API endpoints.
• Threat Intelligence & Signal Expansion: Partner with fraud intelligence teams to integrate, curate, and automate threat feeds into engineering workflows.
• Cross-Functional Advisories & Strategic Controls: Translate raw research and retrospective findings into actionable threat advisories and control recommendations for stakeholders across fraud operations, risk, onboarding, and security functions.
• Adversary Simulation & Validation: Utilize automated testing frameworks to simulate adversary behaviors, validate whether deployed controls interrupt empirical attack paths, and generate regression scenarios to exercise defenses.

What We're Looking For

Minimum Requirements:

• 5+ years of experience conducting threat intelligence, threat hunting, or technical incident response within cybersecurity, product abuse, or trust domains
• 5+ years of experience analyzing large, complex datasets using data analytics tools to identify anomalies, map behavioral trends, and solve complex fraud problems
• B.S. or M.S. in Computer Science, Cybersecurity, or a related technical field, or equivalent practical experience
• Expert proficiency in Python and SQL, with demonstrated experience using code and scripting to automate workflows, build investigative tools, or query big data pipelines
• Hands-on experience in log analysis (application logs, API route telemetry, network security events), digital forensics, and cyber investigation methodologies
• Strong communication skills with proven ability to translate complex technical research into clear, actionable recommendations for cross-functional partners

Preferred Qualifications:

• Deep technical understanding of threat actor motivations, infrastructure, and tactics specific to financial fraud (account takeover, card testing, credential stuffing)
• Familiarity with standardized taxonomies such as MITRE ATT&CK or fraud-specific frameworks
• Proficiency with engineering, data processing, and analysis platforms such as Databricks, Trino, PySpark, Pandas, or Scikit-Learn
• Proven background utilizing Threat Intelligence Platforms, tactical threat feeds, OSINT, and breach intelligence
• Demonstrated capability building or leveraging agentic tools, automated testing systems, or control validation frameworks to model adversary behavior at scale

How We Work With You

Our talent team at Get A Job.ai partners with exceptional fintech organizations to connect them with top-tier security and fraud prevention professionals. When you apply through our platform, a dedicated recruiter will screen your background and qualifications. If there's a strong match, we will submit your profile to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through Get A Job.ai to ensure a smooth and professional process.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Employment Opportunity: Get A Job.ai is committed to fair and equitable recruiting practices. We evaluate all candidates based on qualifications and merit, and we encourage applications from individuals of all backgrounds.