Lead Threat Detection Engineer

Lead Threat Detection Engineer

Requirements

• Bachelor’s degree and a minimum of 5 years’ relevant work experience, or in lieu of a degree, a combined minimum of 9 years’ higher education and/or work experience
• Advanced ability to use multiple Cybersecurity tools, specific to function

Responsibilities

• Design and implement advanced detection architectures across the organization’s security landscape, utilizing SIEM, EDR, NDR, and cloud security platforms.
• Lead the development and refinement of complex, high-fidelity detection use cases, custom correlation rules, and detection models tailored to the organization’s unique risk profile and threat landscape.
• Architect and implement advanced methods for the integration and fusion of internal, external, and commercial threat intelligence sources.
• Continuously enhance and optimize detection techniques, reducing alert fatigue and improving detection accuracy by applying advanced techniques like statistical analysis, machine learning, and automation.
• Develop and implement automation and orchestration for complex systems to streamline security operations and response activities.
• Lead collaboration efforts with Cybersecurity and Technology teams to effectively implement and maintain security solutions for the organization.
• Lead improvement initiatives within Cybersecurity team, implementing best practices and optimizing processes to enhance security capabilities.
• Actively partner with vendor to optimize security products and/or drive resolution of complex support issues.
• Understand and adhere to the Company’s risk and regulatory standards, policies, and controls in accordance with the Company’s Risk Appetite.
• Promote an environment that supports diversity and reflects the M&T Bank brand.
• Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
• Complete other related duties as assigned.

Preferred Qualifications

• In-depth experience in developing, testing, and refining advanced detection use cases, correlation rules, and automated workflows based on security data.
• Proficiency in designing and managing security data models to structure and optimize log data for efficient querying, reporting, and analysis.
• Experience in leveraging advanced analytics capabilities such as statistical analysis, machine learning models, risk based analytics and anomaly detection to improve the accuracy and efficiency of threat detection and response strategies.
• Proficient level of critical thinking and problem solving ability
• Excellent communication and interpersonal skills
• Experience partnering with leaders to design solutions to business needs.
• Proficient persuasive communication skills to gain buy-in of others
• Strong ability to analyze and draw reliable conclusions based on large volumes of quantitative data from diverse sources
• Ability effectively serves in indirect leadership role