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Cyber Fraud Investigations Analyst

Job ID: 25-11667
Job Title: 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 Client’s 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.
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