Senior Cyber Security Engineer

eMoney Advisor is seeking a Senior Cyber Security Engineer to lead the detection, analysis, and prevention of cyber security events impacting clients. This role involves deep technical analysis and collaboration with various teams to enhance fraud detection capabilities.

Responsibilities:

• Detect, investigate, and respond to cyber security events using log analysis, threat intelligence, and behavioral patterns
• Design, develop, and tune detection rules to improve signal fidelity and reduce false positives
• Develop complex SQL queries and data pipelines to support large-scale incident analysis
• Perform advanced correlation and analysis across multiple data sources (application logs, identity systems, transaction data)
• Act as a subject matter expert in cyber incident detection and investigation
• Integrate threat intelligence into detection logic and investigative workflows
• Automate investigative and detection processes using Python and scripting tools, and AI technologies
• Partner with cross-functional teams (Security, Legal, Compliance, Product) to improve fraud prevention strategies
• Identify control gaps and recommend improvements across systems, processes, and tooling
• Build and validate detection logic in test environments before production deployment
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders
• Remain current on the constantly evolving cyber threat landscape and the principles, processes, procedures, and trends of threat prevention
• Ensure security best practices are identified and integrated into all facets of the project including network, system designs/configuration, and implementations
• All other duties as assigned

Requirements:

• Bachelor's degree in a technical field (or equivalent experience)
• 6+ years of experience in cyber security, threat detection and analysis
• Strong experience with Python scripting, automation, and AI tools
• Experience working with large-scale datasets in tools such as Splunk
• Strong understanding of cyber fraud, attacker behaviors, and detection methodologies
• Experience with log analysis, SIEM platforms, and event correlation
• Familiarity with threat intelligence and fraud trend analysis
• Advanced SQL skills for large-scale data analysis
• Strong Unix/Linux command-line and scripting experience
• Ability to process and analyze high-volume datasets efficiently
• Experience building automation for detection and response workflows
• Familiarity with authentication systems, identity intelligence, and transaction fraud controls
• Knowledge of purple team concepts and detection validation techniques
• Strong communication and stakeholder engagement skills
• Ability to influence peers and senior leadership
• Strong analytical thinking and problem-solving skills
• Ability to work in fast-paced, high-volume environments
• Experience in financial services or brokerage environments preferred
• Understanding of cloud environments and modern application architectures (preferred)
• Experience with Akamai controls (WAF, Bot manager, DOS, and IP reputation) is a plus