BNY · 2 hours ago
SIEM Engineer
BNY is a leading global financial services company that influences nearly 20% of the world’s investible assets. They are seeking a SIEM Engineer to join their Insider Threat team, where the candidate will be responsible for managing the Securonix SIEM platform, enhancing security monitoring, and collaborating with cross-functional teams to improve threat visibility.
Financial Services
Responsibilities
Configure, deploy, and maintain the Securonix SIEM platform to support security monitoring and threat detection
Develop and fine-tune correlation rules, use cases, and behavioral analytics to identify insider threats, fraud, and advanced cyber threats
Manage log ingestion pipelines and optimize data collection from various sources, including network logs, endpoint data, cloud platforms, and identity systems
Troubleshoot performance issues, integrations, and data processing pipelines within Securonix
Develop data models, analytics dashboards, and reports to enhance security monitoring and forensic investigations
Leverage machine learning techniques and statistical analysis to detect anomalies and insider threats
Integrate Securonix with threat intelligence platforms to enhance detection and correlation capabilities
Conduct trend analysis on security incidents to provide proactive recommendations for risk mitigation
Collaborate with Insider Threat analysts, threat hunters, and fraud teams to investigate security incidents using Securonix data
Automate alert triage processes and enhance SIEM workflows to reduce response time
Assist in root cause analysis and remediation efforts for complex security threats
Ensure SIEM configurations align with regulatory requirements (e.g., NIST, PCI DSS)
Maintain documentation of use cases, data flows, and SIEM policies
Identify opportunities to improve log ingestion, data normalization, and system scalability
Qualification
Required
Experience in SIEM engineering, cybersecurity operations, or data analytics
Strong hands-on experience with Securonix SIEM, including rule creation, log ingestion, and dashboard development
Proficiency in SQL, Python, Splunk, Elastic Stack, or other data analytics tools
Experience with threat detection techniques, behavioral analytics, and machine learning in security
Familiarity with cloud security monitoring (AWS, Azure, GCP) and integration with SIEM solutions
Knowledge of MITRE ATT&CK, UEBA (User Entity Behavior Analytics), insider threat detection, and fraud prevention
Strong understanding of log management, data correlation, and incident response frameworks
Certifications such as SANS GIAC, CISSP, CEH, or Securonix certifications are a plus
Bachelor's degree in computer science or a related discipline, or equivalent work experience required
8-10 years of experience in information security or related technology experience required
Preferred
Experience working in the financial sector with a focus on fraud prevention, insider risk, or compliance monitoring
Knowledge of big data platforms (Hadoop, Spark, Snowflake) and automation tools (SOAR, Python scripting, APIs)
Ability to work with large datasets and build predictive models for security insights
Benefits
Generous paid leaves, including paid volunteer time
Company
BNY
We help make money work for the world — managing it, moving it and keeping it safe.
Funding
Current Stage
Late StageLeadership Team
Recent News
PR Newswire
2024-11-01
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