Cyber Fraud Investigations Analyst

Cyber Fraud Investigations Analyst

Location: Chicago IL, 60611

Duration: 12 Months

Contract Type: W2

Payrate: $49.14/hr

Duties

• Investigate, analyze, and report cases of fraud/abuse related activity within or targeting Clients ecosystem.
• Create and synthesize various data tables into usable, actionable intelligence.
• Detail key attributes driving fraud through signal identification and incorporate into machine learning models to create a more streamlined end-to-end process in mitigating fraud.
• Provide data to internal teams for secondary review and identification of additional fraud patterns to further enhance machine learning and AI initiatives.
• Integrate both traditional (covert/overt) and technical (SQL) investigative techniques within the intelligence gathering process.
• Produce investigative reports synthesizing data and information from across multiple platforms, systems, and tools to present key findings to necessary stakeholders for case resolve.
• Research cases ranging in complexity, fraud vector, and scope.
• Collaborate with Data Analytics and Data Engineering to detect, scale, and monitor fraud/abuse related behavior through key point indicators and data visualizations.
• Establish protocols for investigative practices, fraud detection, and actioning.
• Analyze and verify escalations of suspected fraud from internal and external Client teams.
• Utilize reverse engineering techniques to disrupt adversarial attack vectors.
• Discover exploited or potential vulnerabilities and collaborate with Client internal teams to provide solutions-based recommendations to address identified gaps.
• Work with Client internal teams to gain business-critical information.
• Utilize internal and external fraud identification tools and platforms to formulate better detection and actioning strategies.
• Engage with external groups and industry partners to combat fraud and abuse related behavior.
• Identify and vet new data sources to perform pattern, trend analysis and enhance fraud detection capabilities.
• Conduct thorough investigations of e-commerce transactions to identify anomalies and enhance fraud risk rules/assessments to increase the efficiency and effectiveness of fraud prevention measures.

Skills

• Excellent Written and Verbal Communication Skills Ability to present key findings and recommendations to various stakeholders and audiences.
• Adaptability/Prioritization Able to operate in a fast-paced work environment and shift focus/priorities quickly.
• Creativity "Thinking outside the box"; desire to learn new things approach.
• Self-sufficient/Self-motivated - Can work collaboratively as well as independently through automated and manual efforts, having a proactive mindset.
• Attentive to detail - Ability to be thorough in the end-to-end process of an ask or project.
• Basic understanding and capability to execute investigation-style SQL queries (e.g., with inner/left joins).
• Inquisitive and investigative nature: Driven by curiosity to understand the mindset and actions of an attacker.
• Willingness and desire to work independently and problem-solve with visionary guidance.
• Positive, learning mindset with a detail-oriented, analytical approach to problem-solving.
• Ability to excel while working remotely with the skills and self-discipline to do so effectively.
• Experience in Fraud Operations or Investigations is required.
• Experience in commerce/transaction review for signal and anomalous pattern identification and knowledge of remediation efforts to include, but not limited to, risk rule adjustments.

Education

• Bachelor's Degree or higher and 4+ years of relevant work experience in fields such as Fraud Detection, Investigations or Analytics, Financial Analysis, Cybersecurity, Criminal Justice, Digital Forensics, or a related area.
• High School Diploma or the equivalent and 6+ years of relevant work experience in fields such as Fraud Detection, Investigations or Analytics, Financial Analysis, Cybersecurity, Criminal Justice, Digital Forensics, or a related area.