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Model Risk Management Jobs in Baltimore, MD (NOW HIRING)

Aegon

Int Actuary Modeler

Baltimore, MD · On-site

$88K - $95K/yr

Model and quantify risks including equity and interest rate sensitivities, cash flow variability ... Apply risk management techniques and procedures, including the company's mandated risk ...

Aegon

Intermediate Level Modeler

Baltimore, MD · On-site

Model and quantify risks including equity and interest rate sensitivities, cash flow variability ... Apply risk management techniques and procedures, including the company's mandated risk ...

Transamerica

Senior Modeler

Baltimore, MD · On-site

Model and quantify risks including equity and interest rate sensitivities, cash flow variability ... Apply risk management techniques and procedures, including the company's mandated risk ...

Aegon

Senior Modeler

Baltimore, MD · On-site

Model and quantify risks including equity and interest rate sensitivities, cash flow variability ... Apply risk management techniques and procedures, including the company's mandated risk ...

Aegon

Int Actuary Modeler

Baltimore, MD · On-site

$54.50 - $70.50/hr

Model and quantify risks including equity and interest rate sensitivities, cash flow variability ... Apply risk management techniques and procedures, including the company's mandated risk ...

Transamerica

Int Actuary Modeler

Baltimore, MD · On-site

$54.50 - $70.50/hr

Model and quantify risks including equity and interest rate sensitivities, cash flow variability ... Apply risk management techniques and procedures, including the company's mandated risk ...

Transamerica

Manager, Modeling

Baltimore, MD · On-site

Model and quantify risks including equity and interest rate sensitivities, cash flow variability ... Apply risk management techniques and procedures, including the company's mandated risk ...

T Rowe Price

Enterprise AI Architect

Baltimore, MD · On-site

$68.50 - $88.50/hr

A Governance & Risk: * Design and operationalize the AI governance framework, covering model risk management, explainability standards, bias monitoring, data lineage, and regulatory compliance ...

T12 TECHNOLOGIES LLC

AI Solutions Architect

Baltimore, MD · On-site

$140K - $165K/yr

Familiarity with AI governance, model risk management, and compliance frameworks. * Prior consulting or client-facing delivery experience. Working Conditions * Remote position with approximately one ...

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All JobsModel Risk Management JobsModel Risk Management Jobs in Baltimore, MD

Model Risk Management information

See Baltimore, MD salary details

$36.3K

$81.8K

$137.1K

How much do model risk management jobs pay per year?

As of Sep 10, 2026, the average yearly pay for model risk management in Baltimore, MD is $81,806.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $89,900.00 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 the most commonly searched types of Model Risk Management jobs in Baltimore, MD?

The most popular types of Model Risk Management jobs in Baltimore, MD are:

What are popular job titles related to Model Risk Management jobs in Baltimore, MD?

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

What job categories do people searching Model Risk Management jobs in Baltimore, MD look for?

The top searched job categories for Model Risk Management jobs in Baltimore, MD are:

Model Risk Management jobs near you
Infographic showing various Model Risk Management job openings in Baltimore, MD as of September 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $81,806 per year, or $39.3 per hour.

Lead AI Architect

Owings Mills, MD • On-site

Tata Consultancy Service Limited
See more jobs at Tata Consultancy Service Limitedexternal

$150K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Key responsibilities

  • Own overall technical architecture direction and decision-making for Claude based Agentic AI implementation across the enterprise program.

  • Lead architectural discussions with stakeholders and define target-state architecture, reference patterns, integration approach, guardrails, NFRs, deployment model, and operating model for enterprise AI solutions.

  • Oversee architecture for agent workflows, RAG pipelines, knowledge ingestion, tool/API integrations, observability, LLMOps, security, and AI FinOps.

Job description

Must Have Technical/Functional Skills
• 15+ years of enterprise architecture, solution architecture and cloud architecture experience, with 5+ years leading AI/ML, GenAI or enterprise platform architecture programs.
• Proven ability to lead architecture discussions, technology decisions and design governance for Anthropic Claude based Agentic AI solutions, preferably on Amazon Bedrock.
• Deep understanding of AI architecture patterns including agent orchestration, multi-agent systems, RAG, vector databases, tool/function calling, MCP, guardrails, HITL and LLM evaluation.
• Strong AWS architecture knowledge across Bedrock, Lambda, API Gateway, Step Functions, ECS/EKS, S3, IAM, KMS, VPC, CloudWatch, CloudTrail, CI/CD and DevSecOps.
• Experience defining enterprise AI reference architectures, reusable patterns, architecture governance, NFRs, decision records, and target-state roadmaps.
• Strong understanding of AI governance, Responsible AI, model risk, security, privacy, data governance, auditability and compliance requirements in financial services.
• Ability to guide AI Architects, FDEs and engineering teams on design, scalability, resiliency, integration, observability, performance and cost optimization.
• Experience integrating AI platforms with enterprise applications, APIs, workflow systems, identity/access management, data platforms and in-house capabilities.
• Working knowledge of Asset Management, Investment Operations, Distribution, Client Reporting and Middle Office processes is preferred.
Roles & Responsibilities
• Own overall technical architecture direction and decision-making for Claude based Agentic AI implementation across the enterprise program.
• Lead architectural discussions with business stakeholders, enterprise architects, security, data, cloud, platform and engineering teams.
• Define target-state architecture, reference patterns, integration approach, guardrails, NFRs, deployment model and operating model for enterprise AI solutions.
• Chair design reviews and architecture governance forums; drive architecture decisions, trade-off analysis, risk mitigation and solution approvals.
• Complement AI Architects by providing enterprise-level architecture guardrails, cross-workstream alignment, technical governance and escalation support.
• Guide architecture teams and technical teams on implementation approaches, reusable components, coding standards, testing strategy and production readiness.
• Partner with domain architects and business teams to ensure AI solution designs align with business value, operating model needs and adoption priorities.
• Oversee architecture for agent workflows, RAG pipelines, knowledge ingestion, tool/API integrations, observability, LLMOps, security and AI FinOps.
• Ensure solutions meet enterprise standards for security, IAM, encryption, privacy, audit logging, model governance, data controls and regulatory compliance.
• Provide executive architecture updates, decision logs, technical roadmaps, delivery risks and recommendations to senior stakeholders.
Generic Managerial Skills, If any
• Strong executive stakeholder management and ability to influence architecture decisions across business, technology and risk stakeholders.
• Experience leading architects, senior engineers and cross-functional technical teams in complex transformation programs.
• Ability to build consensus, resolve conflicts and make crisp architecture decisions in ambiguous environments.
• Strong strategic thinking, technical judgment, risk management and dependency management skills.
• Ability to mentor AI Architects and engineering leads while maintaining delivery discipline and architecture consistency.
• Excellent communication, presentation, documentation and governance reporting skills for senior leadership audiences.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $150,000 - 175,000 a year

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