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Model Risk Management Jobs in Kentucky (NOW HIRING)

Dixie

$95 - $135/hr

Responsible for all systems and processes that manage EHS risk at the facility (Compliance standards, compliance standard ownership model, Risk Management System, Hazard Identification and Risks ...

New

Capital One National Association

$217 - $248/hr

A candidate's background would include some mix of risk management, payments expertise, process ... models. * Demonstrated experience or strong passion for process improvement leveraging AI ...

Deloitte

Manager - ServiceNow

Louisville, KY · On-site +1

... Risk Management workstreams in partnership with architects and product owners * Managing ... Orchestrating cross-functional teams and vendors across onshore and offshore models; aligning ...

LexisNexis Risk Solutions

$118 - $220/hr

... models, and execution frameworks.* Strong program and portfolio management experience, including prioritization, resource management, risk management, and executive reporting.* Exceptional written ...

Sedgwick Claims Management Services Ltd

$180 - $230/hr

Significant experience leading enterprise-scale AI governance, responsible AI, model risk management, data governance, technology risk, or digital transformation programs.* Demonstrated experience ...

Trustly, Inc.

$150 - $210/hr

Define and execute the product direction for risk infrastructure -- decisioning, model integration, rules management, and real-time controls -- with clear prioritization across competing business ...

New

European Metal Recycling Ltd.

$110 - $120/hr

Support analysis involving inventory, contracts, pricing, hedging, and risk management. * Develop financial and analytical models to support commercial decision-making. * Support month-end close and ...

New

The Vanguard Group

$250 - $380/hr

Prioritize investments across product portfolios to balance growth, risk management, operational ... How We Work Vanguard has implemented a hybrid working model for the majority of our crew members ...

Coalition Inc

$200 - $260/hr

Underwriting (how we select and price risk), Claims (how we close the loop and mitigate losses when ... model-driven workflows, automated decisioning, and ML-assisted tooling responsibly while managing ...

New

Intuitive Machines, LLC

$180 - $320/hr

Maintain capital markets readiness and develop financial models to evaluate financing structures, cost of capital, dilution, returns, and risk. Financial Risk Management * Lead the Company ...

New

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All JobsModel Risk Management JobsModel Risk Management Jobs in Kentucky

Model Risk Management information

See Kentucky salary details

$31.7K

$71.5K

$119.9K

How much do model risk management jobs pay per year?

As of Aug 20, 2026, the average yearly pay for model risk management in Kentucky is $71,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $78,600.00 per year, depending on experience, location, and employer.

What is a model risk management?

A Model Risk Management (MRM) job involves identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. Professionals in this role ensure models are accurate, reliable, and comply with regulatory requirements by conducting validation, testing, and performance monitoring. They work closely with model developers, risk teams, and auditors to manage model lifecycle processes. Strong quantitative, analytical, and regulatory knowledge are key skills for success in this field.

What are some common challenges faced by professionals in model risk management roles?

Professionals in Model Risk Management commonly encounter challenges such as evolving regulatory requirements, the complexity of advanced financial models, and ensuring effective communication between technical and non-technical stakeholders. Staying current with industry best practices while rigorously validating and documenting models can be demanding but is critical for reducing financial and operational risks. Team members often work cross-functionally, collaborating closely with quants, risk managers, and IT teams to evaluate model performance and implement improvements. Adapting to new analytical tools and maintaining a proactive approach to emerging risks will help you succeed and grow in this dynamic field.

What are the key skills and qualifications needed to thrive in model risk management, and why are they important?

To excel in Model Risk Management, a professional needs a strong grounding in quantitative finance, statistics, and risk assessment, often backed by advanced degrees in relevant fields. Familiarity with technical tools such as Python, R, SAS, and model validation platforms, along with relevant certifications like FRM or CFA, is highly beneficial. Exceptional communication skills, attention to detail, and critical thinking help individuals stand out when interacting with model developers and risk committees. Mastery of these abilities ensures thorough risk analysis, regulatory compliance, and effective mitigation of financial model risks within the organization.

What does a model risk management do?

A model risk management professional oversees the identification, assessment, and mitigation of risks associated with financial and operational models. They ensure models are accurate, reliable, and compliant with regulations, often using validation tools and statistical analysis. This role helps prevent financial loss and supports decision-making processes within organizations.

What are popular job titles related to Model Risk Management jobs in Kentucky?

For Model Risk Management jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Model Risk Management jobs in Kentucky look for?

The top searched job categories for Model Risk Management jobs in Kentucky are:

Model Risk Management jobs near you
Infographic showing various Model Risk Management job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $71,506 per year, or $34.4 per hour.

AI Security Architect - Erlanger, KY , Decatur, IL OR Chicago IL

ADM

Erlanger, KY

$64 - $82.75/hr

Full-time

Medical, Dental, Life, Retirement

Re-posted 12 days ago

ADM rating

7.9

Company rating: 7.9 out of 10

Based on 185 frontline employees who took The Breakroom Quiz

75th of 365 rated logistics

Job description

AI Security ArchitectPosition SummaryADM's Global Information & Cyber Security (GICS), Security Architecture & Engineering team is seeking an AI Security Architect with an Engineering/Analyst background. This role safeguards enterprise AI systems by applying Industry guidance on AI risk standards and principles.   The position ensures secure, resilient, and compliant AI adoption across cloud and enterprise environments, focusing on confidentiality, integrity, availability, safety, and ethical use of AI/ML systems. The role proactively identifies and mitigates risks from adversarial machine learning, data poisoning, model leakage, and unauthorized access, while collaborating cross-functionally to build secure and trustworthy AI systems.
This role serves as a trusted advisor for both internally developed AI capabilities and third-party AI platforms, ensuring secure, compliant, and responsible adoption of AI technologies across the enterprise. The architect partners with Data & AI Governance, Legal, Privacy, Procurement, and Enterprise Architecture teams to evaluate AI solutions, mitigate emerging risks, and establish security standards aligned with business objectives and regulatory requirements.
 Key Responsibilities
  • Consult, Recommend and Implement practices aligned with joint internal and external guidance, including understanding AI risks, securing the AI lifecycle, ensuring resilience, and establishing accountability.
  • Contribute to the development and maintenance of ADM's AI security architecture and roadmap, ensuring alignment with business priorities, Data & AI governance requirements, responsible AI principles, and evolving regulatory obligations.
  • Partner with Data & AI governance stakeholders to establish and maintain security standards for model integrity, data lineage, access control, auditability, transparency, and AI risk management throughout the AI lifecycle.
  • Establish AI security testing requirements across development and deployment lifecycles, including validation of model integrity, access controls, prompt injection resilience, and adversarial attack resistance.
  • Executive Communication & Risk Advisory: Translate AI security risks into business impact and provide recommendations to technical, operational, and leadership stakeholders. Develop security assessments, architecture recommendations, and governance reporting to support risk-based decision making.
  • Threat Modeling & Adversarial Testing: Conduct threat modeling for AI/ML models and pipelines, lead adversarial testing, red teaming, and stress testing on AI models.
  • Participate in the evaluation and security review of AI platforms, models, tools, and services. Assess AI-specific risks including data handling, model provenance, supply chain integrity, API security, third-party model exposure, and regulatory compliance. Collaborate with Legal, Privacy, Procurement, and Vendor Risk Management teams to define security requirements and controls for AI vendors and service providers.
  • Review current internal capabilities, process, tooling and provide strategic and tactical recommendations to meet requirements to Secure,  Defend, Thwart for Ai capabilities.
  • Develop secure AI design patterns, reference architectures, and implementation guidance. Partner with AI engineering, MLOps, and cloud platform teams to integrate security controls into model development, deployment pipelines, model registries, data platforms, and operational workflows.
  • Threat Detection & Response: Monitor AI systems for adversarial ML attacks, prompt injection, model misuse, unauthorized access, and emerging AI threats. Partner with Security Operations and Incident Response teams to develop and maintain response procedures and playbooks for AI-related security events.
  • Provide security architecture guidance for both internally developed AI solutions and externally acquired AI products and services, ensuring consistent security controls, governance, and risk management practices across the AI technology ecosystem.
  • Documentation & Best Practices: Develop and maintain documentation for AI security best practices.
  • Cross-team Collaboration: Partner with AI engineers, architects, compliance officers, Technologists, and stakeholders to embed controls and guide secure AI development.
  • Continuous Improvement: Stay up to date with advancements in AI and automation technologies to continuously improve security engineering.
  • AI Risk Management: Apply AI risk management standards to assess and mitigate risks in AI pipelines.
  • Mentor architects, engineers, and analysts in AI security best practices and contribute to the advancement of AI security capabilities, governance practices, and responsible AI initiatives across the organization
  • Support Enterprise Architecture governance process administration.
  • Support EA Technical Design Services.
  • Support EA Technical Design Review Services, include reporting on reviews.
  • Maintain knowledge of industry trends and utilize this knowledge to educate both IT and the business on opportunities to build better target architectures that support and drive business decisions.
 Required Skills & Experience
  • Strong knowledge of CISA Secure AI principles and ISO/IEC 23894.
  • Hands-on experience with Microsoft Purview, Defender for Cloud, Entra ID, and Sentinel.
  • Understanding of AI/ML fundamentals (model training, inference, adversarial ML, secure data pipelines).
  • Understanding of Generative AI and AI-agent security risks, including prompt injection, model inversion, model extraction, retrieval augmented generation (RAG) poisoning, model supply chain risks, agentic AI risks, and AI misuse scenario
  • Experience with ML platforms (TensorFlow, PyTorch, Scikit-learn) and MLOps tools (MLflow, Kubeflow, Azure Machine Learning, Databricks, or equivalent enterprise AI platforms).
  • Familiarity with adversarial ML concepts and tools (Pyrit, IBM Adversarial Robustness Toolbox, CleverHans).
  • Proficiency in scripting or programming languages (Python, Bash, .Net).
  • Knowledge of security methodologies and frameworks including STRIDE, MITRE ATLAS, MITRE ATT&CK, OWASP Machine Learning Top 10, vulnerability management platforms, threat modeling methodologies, and SIEM technologies.
  • Expertise in securing workloads in Azure; AWS/GCP experience is a plus.
  • Ability to assess and mitigate AI-specific risks (bias, poisoning, data leakage).
  • Familiarity with regulatory frameworks (GDPR, HIPAA, FedRAMP, CCPA).
  • Strong analytical, communication, and documentation skills.
  • Ability to explain complex AI security concepts to technical and non-technical audiences.
  • Collaborative mindset with experience working across multidisciplinary teams.
Preferred Requirements
  • 7+ years' experience in IT
  • 5+ years in cybersecurity, with at least 2 years focused on AI/ML or cloud security and 2 within the role of an Architect.
  • Certifications: Azure Solutions Architect, GIAC Machine Learning Security Essentials (GMLE), CISSP, CCSP, or equivalent AI/ML security credentials, CAISP.
  • Project management experience.
  • Experience with lifecycle and licensing within cloud environments.
  • Current holder of security certifications.
  • ISO/IEC 23894
  • Practical Experience leveraging CISA Secure AI Principles, and/or NIST IR 8596 guidance and Cybersecurity Framework 2.0
Leadership Traits
  • Ownership mindset.
  • Commitment to helping others thrive.
  • Continuous learning.
  • Fostering diversity, equity, and inclusion.
Additional InformationThis position offers a complete benefit package, including 401K/ESOP, pension, health, life, and dental insurance. ADM is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and veteran status.
REF:109812BR

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