Role: Fraud Cyber Data Intelligence Engineer - Splunk Mastery
Location: Toronto (Onsite)
Duration: 6+ Months Contract
Pay: CAD56/Hr.
Description:
• Develop and optimize complex Splunk queries, dashboards, and alerts to extract actionable intelligence from large, diverse datasets.
• Deeply understand and interpret Splunk metadata to surface hidden signals that indicate fraud or cyber threats.
• Engineer Splunk-based solutions for proactive monitoring and anomaly detection.
Data Engineering Integration
• Design innovative data flows using non-traditional methods, integrating Splunk data with Excel and other sources.
• Build scalable ETL processes to support fraud and cyber risk analytics.
Fraud Cyber Intelligence
• Analyze data to identify emerging fraud typologies, attack patterns, and systemic vulnerabilities.
• Provide insights and recommendations for controls, fixes, and mitigation strategies.
• Collaborate with fraud, cyber, and risk teams to operationalize intelligence findings.
Continuous Innovation
• Stay ahead of evolving fraud and cyber threats, Splunk advancements, and data engineering best practices.
• Drive new approaches for leveraging Splunk and metadata to enhance detection and prevention frameworks.
Qualifications:
Technical Expertise
• Advanced Splunk skills (querying, dashboards, alerting, metadata analysis) — must be expert level.
• Strong understanding of Splunk architecture and data ingestion processes.
• Experience integrating Splunk with other data sources (Excel, APIs, etc.).
Analytical Skills
• Ability to detect patterns, anomalies, and typologies in large datasets.
• Strong problem-solving mindset focused on fraud and cyber risk mitigation.
Preferred Experience
• Background in fraud analytics, cybersecurity, or risk management.
• Familiarity with scripting languages (Python, SQL) for advanced data manipulation.
Experience: 6 to 8 years
Essential Skills: Cyber Security Data Engineer - Splunk, Splunk queries, Understanding of Cyber risks and Fraud
