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Model Risk Manager Jobs in Manhattan, NY (NOW HIRING)

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Model Risk Manager information

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$56.8K

$123.1K

$187.6K

How much do model risk manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for model risk manager in Manhattan, NY is $123,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $142,400.00 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.
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Model Risk Manager jobs near you

Risk Management - Model Risk Program Associate

JPMorgan Chase & Co

Jersey City, NJ

Full-time

Medical, Retirement

Re-posted 7 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

72nd 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 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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