Cyber Fraud Investigations Analyst
7 days ago
LOCATION: 100% Remote
PAY RANGE: $39-$49/hr
DURATION: 1 year
COMPANY:
Our client is a global leader in creative software, offering innovative tools for digital media creation, design, and marketing.
Duties:
• Investigate, analyze, and report cases of fraud/abuse related activity within or targeting 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.
• Client 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
utomated 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
BENEFITS SUMMARY: Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
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