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Director Model Risk Governance Jobs in New Jersey

DTCC

You will support validation, analysis, documentation, and governance activities while building a practical understanding of model risk frameworks and standards. At DTCC, interns contribute to ...

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Director Model Risk Governance information

What is a director model risk governance?

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 are the key skills and qualifications needed to thrive as a director model risk governance?

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 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 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.

What are the most commonly searched types of Model Risk Governance jobs in New Jersey?

The most popular types of Model Risk Governance jobs in New Jersey are:

What are popular job titles related to Director Model Risk Governance jobs in New Jersey?

For Director Model Risk Governance jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Director Model Risk Governance jobs in New Jersey look for?

The top searched job categories for Director Model Risk Governance jobs in New Jersey are:

What cities in New Jersey are hiring for Director Model Risk Governance jobs?

Cities in New Jersey with the most Director Model Risk Governance job openings:

Director Model Risk Governance jobs near you
Infographic showing various Director Model Risk Governance job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Risk Management - Model Risk Program Associate

JPMorgan Chase & Co

Jersey City, NJ

Full-time

Medical, Retirement

Re-posted 3 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 175 rated banks

Job description

Bring your Expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.


As a Model Validation Analyst in the Risk Management and Compliance team, you help us shape business strategy and drive innovation. You use your expertise to protect the firm through rigorous model validation and risk management. You collaborate with diverse teams to solve real-world challenges and support our company, customers, and communities. You play a key role in keeping JPMorgan Chase strong and resilient.

Job responsibilities:

  • Conduct independent model validation and governance activities to assess model soundness, mitigate model risk with a focus on AI/ML models (e.g. XGB, Neural Networks, Reinforcement Learning, Recommender Systems, as well as variations of Regression algorithms), LLM-based frameworks, Generative AI, and agentic systems.
  • 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 business workflows, and communicate actionable recommendations for risk management to stakeholders.
  • Validate models to ensure accuracy and reliability
  • Assess and manage risks across business functions
  • Collaborate with cross-functional teams to drive innovation
  • Develop and implement model validation frameworks
  • Communicate findings and recommendations to stakeholders
  • Monitor emerging risks and regulatory changes
  • Support business growth through responsible risk management
  • Document validation processes and results
  • Provide expert judgment on model performance

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. Knowledge and experience with the following preferred: LLM technologies, including deep learning, transformers, 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.
  • 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
  • Strong analytical and problem-solving skills
  • Attention to detail and commitment to quality
  • Ability to work independently and as part of a team
  • Experience with data analysis tools (e.g., Python, R)
  • Understanding of risk management principles
  • Professional judgment and integrity

Preferred qualifications, capabilities, and skills:

  • Experience in financial services or banking
  • Experience in model validation or risk management
  • Familiarity with machine learning models
  • Advanced proficiency in programming languages
  • Experience with model governance frameworks
  • Knowledge of emerging risk trends
  • Leadership or mentoring experience
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

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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