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Director Model Risk Governance Jobs (NOW HIRING)

ING Group

Director, Model Risk Management

New York, NY · Hybrid

$217K - $273K/yr

Model Risk Management | Model Risk Management Lead, Director | NYC About ING: In the Americas, ING's Wholesale Banking division offers a broad range of innovative financial products and services to ...

Mercury

Senior Model Risk Manager - AI/ML

The Senior Model Risk Manager - AI/ML will define model governance for AI/ML, overseeing validation and monitoring of models while engaging in industry-wide discussions on evolving model risk ...

Mercury

Senior Model Risk Manager - AI/ML

The Senior Model Risk Manager - AI/ML will define model governance for AI/ML, overseeing validation and monitoring of models while engaging in industry-wide discussions on evolving model risk ...

Mercury

Senior Model Risk Manager - AI/ML

The Senior Model Risk Manager - AI/ML will define model governance for AI/ML, overseeing validation and monitoring of models while engaging in industry-wide discussions on evolving model risk ...

American Express

Manager - Risk Management

Manhattan, NY · On-site

$98K - $150.25K/yr

Governance Framework: o Implement and maintain the organization's model risk management framework, policy, standards, and procedures. o Stay informed about relevant industry regulations and standards ...

Merican

Context Engineer (Model Risk Focus)

New York, NY · On-site

$50 - $53/hr

This role supports model lifecycle and risk governance through domain aware context engineering. Key Responsibilities * Design and optimize prompting and contextual structures to shape model behavior.

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How much do director model risk governance jobs pay per year?

As of May 31, 2026, the average yearly pay for director model risk governance in the United States is $143,185.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $167,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Director of Model Risk Governance, and why are they important?

To thrive as a Director of Model Risk Governance, you need deep expertise in quantitative finance, risk management, and model validation, often backed by an advanced degree in a quantitative field and relevant industry experience. Familiarity with risk management frameworks, regulatory standards (e.g., SR 11-7), and proficiency in analytical tools like Python, R, or SAS are typically required. Exceptional leadership, communication, and critical thinking skills help you effectively oversee teams and coordinate with stakeholders across the organization. These competencies are vital to ensure robust model governance, regulatory compliance, and informed risk-based decision-making at the enterprise level.

What are some common challenges faced by a Director of Model Risk Governance, and how can they be addressed?

A Director of Model Risk Governance often encounters challenges such as ensuring consistent model validation across diverse business units, keeping up with evolving regulatory requirements, and fostering effective communication between model owners, validators, and senior management. Addressing these challenges typically involves establishing robust model risk frameworks, maintaining clear documentation, and promoting a culture of transparency and collaboration. Regular training sessions and open forums can help bridge knowledge gaps, while leveraging technology can streamline model inventory and validation processes.

What are Director Model Risk Governance roles?

Director Model Risk Governance roles are senior positions responsible for overseeing and managing the risks associated with financial and predictive models within an organization. These professionals establish and implement model risk management frameworks, ensure compliance with regulatory requirements, and oversee model validation processes. They collaborate with model developers, validators, and business units to identify, assess, and mitigate model risks, as well as report on governance effectiveness to senior management. Their work is crucial in maintaining the reliability and integrity of models used for decision-making and regulatory reporting.

What is the difference between Director Model Risk Governance vs Model Risk Analyst?

AspectDirector Model Risk GovernanceModel Risk Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., FRM, CFA)Bachelor’s or Master’s degree, relevant certifications
Work EnvironmentStrategic oversight, policy development, senior stakeholder engagementData analysis, model validation, risk assessment
Employer & Industry UsageFinancial institutions, banks, asset managersFinancial institutions, risk management teams
Search & Comparison IntentUnderstanding leadership roles in model risk governanceEntry to mid-level model risk roles, analysis tasks

The main difference is that the Director Model Risk Governance focuses on strategic oversight, policy setting, and managing model risk at a senior level, while the Model Risk Analyst handles technical validation, data analysis, and risk assessment tasks. The director role involves leadership and decision-making, whereas the analyst role is more technical and operational.

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Director Model Risk Governance jobs near you
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 24 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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