Senior Cyber Security Engineer at eMoney Advisor

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Full Time

Start Date

Immediate

Expiry Date

08 Oct, 26

Salary

158000.0

Posted On

10 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cyber Security, Threat Detection, Incident Investigation, Python, SQL, Splunk, SIEM, Log Analysis, Automation, AI Tools, Unix/Linux, Fraud Prevention, Akamai Controls, Identity Intelligence, Cloud Security, Purple Teaming

Industry

Financial Services

Description

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

Responsibilities

Lead the detection, analysis, and prevention of cyber security events to protect client assets. Design detection rules and automate investigative processes using Python and AI technologies.