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Director Model Risk Governance Jobs in New Jersey

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Director Model Risk Governance information

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 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 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 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.
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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 73% Full Time, 18% Part Time, and 9% Contract. Highlights an 100% In-person job distribution.

Risk Management - CCB Marketing Model Review Lead - Vice President

J.P. Morgan

Jersey City, NJ • On-site

Full-time

Medical, Retirement

Posted 16 days ago

Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

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 Risk Management Quant Modeling Lead/Vice-President in the MRGR CCB Marketing team, you independently assess and challenge marketing models supporting customer acquisition, engagement, retention, cross-sell, pricing, profitability, and optimization. You work closely with model developers, business stakeholders, governance teams, and senior leadership to ensure models are conceptually sound, fit for purpose, and compliant with the Firm's Model Risk Management framework. You help us stay current with emerging AI and LLM developments and communicate actionable recommendations for risk management.

Job responsibilities:

  • Lead and conduct independent model validation and governance activities across CCB Marketing
  • Assess conceptual soundness, implementation accuracy, performance, limitations, and business suitability of statistical, machine learning, and AI models
  • Review traditional regression, decision tree, and advanced machine learning models, including neural networks, transformers, recommender systems, reinforcement learning, Generative AI, LLM-based solutions, and agentic systems
  • Communicate model risk assessments and validation findings through technical reports and presentations
  • Maintain model risk control apparatus and serve as first point of contact for stakeholders
  • Stay current with emerging AI and LLM developments and assess their application within business workflows
  • Provide actionable recommendations for risk management
  • Collaborate with model developers, business stakeholders, governance teams, and senior leadership
  • Ensure models are compliant with the Firm's Model Risk Management framework and regulatory expectations
  • Escalate material model issues appropriately
  • Present complex AI concepts to technical and non-technical audiences

Required qualifications, capabilities, and skills:

  • Master's or PhD in Mathematics, Statistics, Computer Science, Engineering, Economics, Quantitative Finance, or related field
  • Minimum 6 years of relevant hands-on experience
  • Hands-on experience with applied AI/ML and strong understanding of GLMs, tree-based models, deep learning, transformers, LLMs, and modern AI techniques
  • Strong foundation in statistics and machine learning techniques
  • Experience with Python and machine learning frameworks such as PyTorch, TensorFlow, XGBoost, or LightGBM
  • Excellent written and verbal communication skills
  • Risk and control mindset with ability to assess and escalate model issues

Preferred qualifications, capabilities, and skills:

  • Knowledge and experience with LLM technologies, deep learning, transformers, prompt engineering, RAG architecture, agentic AI systems, context engineering, agent skills, MCP architecture, agentic harness, LLM/Agentic evaluation
  • Experience validating risk, fraud, and marketing models
  • Experience working in financial services and collaborating with business, technology, compliance, and regulatory stakeholders

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.

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