9 часов назад
Senior Lead Validator – Cybersecurity Model Risk (Cybersecurity)
137 400 - 233 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Lead Validator – Cybersecurity Model Risk (Cybersecurity): Leading independent validation and effective challenge of cybersecurity models, detection systems, and AI-enabled security solutions with an accent on model performance, adversarial exposure, data quality, and governance. Focus on assessing generative and agentic AI risks, developing scalable validation standards, and influencing senior risk and remediation decisions.
Location: Chicago, IL; applicants must be authorized to work in the U.S. without employment-based visa sponsorship
Salary: $137,400–$233,600 USD annual base pay
Company
provides wealth management, asset servicing, asset management, and banking services to individuals, institutions, and corporations.
What you will do
- Lead independent validations of cybersecurity models, security analytics, detection systems, machine learning models, and generative or agentic AI solutions.
- Determine validation scope and assess conceptual soundness, data quality, assumptions, implementation, performance, monitoring, and governance.
- Evaluate false positives and negatives, model uncertainty, drift, detection gaps, adversarial manipulation, model evasion, data poisoning, prompt injection, and insecure tool use.
- Develop scalable validation methodologies, testing expectations, review standards, and risk-tiering approaches for cybersecurity analytics and AI-enabled systems.
- Present validation conclusions, material risks, thematic observations, and remediation priorities to senior management and governance committees.
- Lead complex reviews, guide other validators, and support regulatory examinations, internal audits, and independent reviews.
Requirements
- Extensive experience in Model Risk Management, independent model validation, quantitative review, or independent technical risk assessment, including complex or material reviews.
- Strong knowledge of cybersecurity risk and the use of analytics, machine learning, and AI in security decision-making and control environments.
- Experience evaluating model performance, data quality, uncertainty, drift, explainability, monitoring, resilience, and human oversight.
- Ability to exercise independent judgment, provide credible challenge, resolve complex technical issues, and make risk-based recommendations to senior stakeholders.
- Strong leadership, analytical, written, verbal, and executive communication skills.
- Must be authorized to work in the U.S. without employment-based visa sponsorship; visa sponsorship is not available.
Nice to have
- Experience validating cybersecurity models, detection analytics, identity and access risk models, vulnerability or cyber risk scoring, or AI-enabled security solutions.
- Knowledge of security operations, threat detection, behavioral analytics, adversarial machine learning, AI security testing, AI red teaming, generative AI, and agentic AI.
- Familiarity with security event, authentication, endpoint, network, vulnerability, threat intelligence, and incident data.
- FRM, PRM, CFA, CISSP, CISM, CRISC, or relevant AI, cybersecurity, cloud, or technology certifications.
Culture & Benefits
- Comprehensive retirement benefits, including 401(k) and pension.
- Medical, dental, vision, spending accounts, disability, life, and accident insurance.
- Paid time off, parental and caregiver leave, and other well-being benefits.
- Discretionary bonus program that may include an equity component.
- Flexible and collaborative work culture with opportunities for internal movement and accessible senior leadership.
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