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Model Risk Management Jobs (NOW HIRING)

Associated Bank

Model Risk Manager

Milwaukee, WI · On-site

Responsible for ongoing management, the bank's Model Risk Management Program including continuous enhancements in compliance with applicable regulations and industry practices. The incumbent will be ...

Associatedbank

Model Risk Manager

Chicago, IL

Responsible for ongoing management, the bank's Model Risk Management Program including continuous enhancements in compliance with applicable regulations and industry practices. The incumbent will be ...

Associatedbank

Model Risk Manager

Omaha, NE

Responsible for ongoing management, the bank's Model Risk Management Program including continuous enhancements in compliance with applicable regulations and industry practices. The incumbent will be ...

Associatedbank

Model Risk Manager

Milwaukee, WI · On-site

Responsible for ongoing management, the bank's Model Risk Management Program including continuous enhancements in compliance with applicable regulations and industry practices. The incumbent will be ...

Pyramid Consulting

Model Risk Analyst

Plano, TX · Hybrid

Manage the evaluation of new models, coordinate the validation of changes to existing models and the retirement of decommissioned models * Assess model risk * Assist with control design ...

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$36.5K

$82.3K

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How much do model risk management jobs pay per year?

As of Jun 3, 2026, the average yearly pay for model risk management in the United States is $82,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $90,500.00 per year, depending on experience, location, and employer.

What is a Model Risk Management job?

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 the key skills and qualifications needed to thrive in the Model Risk Management position, 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 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.
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Model Risk Management jobs near you
Infographic showing various Model Risk Management job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $82,330 per year, or $39.6 per hour.
Risk Management - Model Risk Program Associate

Risk Management - Model Risk Program Associate

JPMorgan Chase & Co.

Jersey City, NJ • On-site

$135K - $150K/yr

Full-time

Medical, Retirement

Posted 27 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Job Description
Join JPMorgan Chase's Risk Management and Compliance team, where your expertise will drive the re-engineering of how model risk is managed across the firm. As part of the Model Risk Governance and Review (MRGR) AI Center of Excellence (AI COE) team, your work will be instrumental in transforming the model risk lifecycle and enabling a new paradigm for how risk professionals and model developers collaborate.
As a Risk Management - Model Risk Program Associate in the Model Risk Governance and Review (MRGR) AI Center of Excellence (AI COE) team, you will design and build AI-native tools, workflows, and platforms that re-engineer how model risk professionals conduct validation and governance. You will also bring deep applied AI expertise to the review of AI/ML and LLM-based models deployed across the firm. This role places you at the forefront of how Generative AI is being operationalized in financial services.
Job Responsibilities
  • Design, build, and deploy AI and LLM-based solutions that transform core MRGR processes and workflows during validation and governance.
  • Work closely with MRGR teams to identify opportunities for AI to enhance and modernize model risk management practices and to understand the unique challenges and requirements of model risk governance.
  • Remain current with emerging AI and LLM developments, get hands-on with new capabilities to understand their strengths and limitations, assess how they can be applied within MRGR workflows, and communicate actionable recommendations to stakeholders.
  • Enable MRGR teams to effectively leverage AI tools and platforms in their day-to-day workflows, ensuring adoption is aligned with evolving best practices across the organization.
  • Conduct independent model validation and governance activities to mitigate model risk, with a focus on AI/ML models, LLM-based applications, and Generative AI systems.

Required Qualifications, Capabilities, and Skills
  • Master's or PhD degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Engineering, Economics, Finance, or a related field, with strong quantitative and analytical skills.
  • Hands-on experience with applied AI/ML and LLM technologies, including prompt engineering, RAG architectures, agentic AI systems, context engineering, agent skills, MCP architecture, agentic harness, LLM evaluation and beyond.
  • Strong foundation in statistics, econometrics, and machine learning techniques, with a deep understanding of model assumptions, limitations, explainability, and performance evaluation.
  • Familiarity with LLM application tooling and frameworks (e.g., Claude Code, GitHub Copilot, LangChain, vector databases, embedding models, orchestration layers) and an understanding of how these components integrate in end-to-end deployed systems. Passion to stay at the forefront of how Generative AI is being operationalized in financial services and a desire to be a hands-on builder of AI solutions.
  • Strong communication skills with the ability to present complex AI concepts to both technical and non-technical audiences. A risk and control mindset with the ability to ask incisive questions, assess the materiality of model issues, and escalate appropriately

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

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