The Senior Cyber Security Engineer will lead the detection, analysis, and prevention of cyber security events impacting our clients. This role combines deep technical analysis, detection engineering, and incident investigation to enhance the organization’s ability to identify and respond to evolving threats.
This position collaborates closely with Security, Legal, Compliance, and business units to protect client assets and improve fraud detection capabilities at scale.
Job 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
Experience in financial services or brokerage environments preferred
Skills & Expertise
Detection & Investigation
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
Data & Engineering
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
Security & Technology
Familiarity with authentication systems, identity intelligence, and transaction fraud controls
Understanding of cloud environments and modern application architectures (preferred)
Knowledge of purple team concepts and detection validation techniques
Experience with Akamai controls (WAF, Bot manager, DOS, and IP reputation) is a plus
Professional Skills
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
The salary range for this position is $122,600 - $158,000; commensurate salary to be determined based on skills, professional background and expertise. This position is also eligible, pursuant to applicable eMoney policies, for the annual bonus program, retirement contributions, health insurance, sick leave, parental leave and paid time off.