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Model Risk Manager Jobs in New Jersey (NOW HIRING)

Operational Risk Manager

Jersey City, NJ · On-site

  • Medical

  • Retirement

Operating within a Second Line of Defense model, this position provides independent risk oversight, credible challenge, and data-driven insights to senior management to support informed decision ...

Operational Risk Manager

Jersey City, NJ · On-site

  • Medical

  • Retirement

Operating within a Second Line of Defense model, this position provides independent risk oversight, credible challenge, and data-driven insights to senior management to support informed decision ...

Financial Services Manager - Financial Risk Our Deloitte Regulatory, Risk & Forensic team helps ... Knowledge of financial services business models, products, and services * Experience in banking ...

Showing results 21-40

Model Risk Manager information

See New Jersey salary details

$52.3K

$113.3K

$172.6K

How much do model risk manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for model risk manager in New Jersey is $113,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,400.00 and $131,000.00 per year, depending on experience, location, and employer.

What are common challenges a model risk manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What is the difference between Model Risk Manager vs Quantitative Analyst?

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What skills and qualifications are needed to be a model risk manager?

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What does a model risk manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.

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

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

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

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

Infographic showing various Model Risk Manager job openings in New Jersey as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $113,256 per year, or $54.5 per hour.

Risk Management - Quant Modeling Director - Executive Director

JPMorgan Chase & Co.

Jersey City, NJ • On-site

$150 - $200/hr

Other

Medical, Retirement

Re-posted 9 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 494 frontline employees who took The Breakroom Quiz

71st of 171 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 an Executive Director in the Model Risk Governance and Review (MRGR) team for Consumer and Community Banking (CCB), you will lead the validation and risk governance of marketing machine learning models used across the business. You will evaluate conceptual soundness, assess assumptions and input reliability, confirm testing completeness and numerical robustness, and ensure the suitability of performance metrics while designing experiments to quantify limitations and benchmark results. You’ll maintain model risk controls, escalate and resolve issues promptly, and keep current with advanced artificial intelligence and machine learning techniques, risk management practices, and industry standards as you help train and develop teammates. Your success will require you to collaborate with model developers and users across Risk, Finance, Operations, Digital, Marketing, Fair Lending, Technology, Control teams, Internal Audit, and bank regulators to ensure models are used appropriately and transparently in their business context.

Job Responsibilities
  • Manage and develop a team to validate and govern marketing models used across the organization.
  • Lead validation of ML‑based marketing models; demonstrate deep ML proficiency, recognize strengths and limitations, apply regulatory expectations, and articulate the appropriateness of model techniques.
  • Apply and master standard ML tools and programming languages to support robust model assessment.
  • Execute comprehensive model reviews by evaluating conceptual soundness, assessing assumption reasonableness and input reliability, verifying implementation testing completeness, confirming numerical robustness, and justifying performance metrics and risk measures.
  • Design and implement experiments to quantify model risk, including impacts from model limitations, parameter estimation error, and deviations from assumptions.
  • Benchmark model outputs against empirical evidence and alternative/benchmark models to validate performance and stability.
  • Collaborate with stakeholders across Model Development and Users (Risk, Finance, Operations, Digital, Marketing), MRGR, Fair Lending, Technology, Control functions, Internal Audit, and regulators to drive transparent outcomes.
  • Maintain model risk controls for CCB models, serve as the first point of contact, and identify, elevate, and resolve issues promptly and soundly.
  • Track and synthesize advances in modeling techniques (advanced AI/ML), products, markets, risk management practices, and industry standards.
  • Mentor and train junior team members to accelerate their learning, capability building, and professional development.
Required qualifications, skills and capabilities
  • PhD or Master Degree in Statistics, Data Science, Computer Science, Operations Research, Applied Math, Economics, or related quantitative discipline.
  • 10+ years of relevant experience, with at least 5+ years of experience in applied quantitative research or model development for retail financial products.
  • In depth knowledge of machine learning techniques (supervised and unsupervised), natural language processing, data mining as well as experience in probability theory, statistics, and numerical methods.
  • Product domain expertise in retail (consumer) banking products and ability to understand the business / knowledge of regulation surrounding business.
  • Excellent analytical and problem solving abilities.
  • Risk & Control mindset: Inquisitive nature, ability to ask right questions and elevate issues.
  • Excellent communication and storytelling skills to influence stakeholders, articulate value hypotheses, and secure sponsorship.
  • Experience managing teams.
Preferred qualifications, skills and capabilities
  • Ability to deploy advanced methods in econometrics and quickly translate and communicate microeconomic and macroeconomic trends in consumer data.
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 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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