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Model Risk Manager Jobs in New Jersey (NOW HIRING)

DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays ... Market Risk Manager is responsible for the monitoring of daily margin calculation and managing ...

DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays ... Market Risk Manager is responsible for the monitoring of daily margin calculation and managing ...

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

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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 Jul 1, 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 some 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 are the key skills and qualifications needed to thrive as a Model Risk Manager, and why are they important?

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 job categories do people searching Model Risk Manager jobs in New Jersey look for? The top searched job categories for Model Risk Manager jobs in New Jersey 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 June 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $113,256 per year, or $54.5 per hour.
Manager, Quantitative Risk Analysis

Manager, Quantitative Risk Analysis

Fidelity Investments

Jersey City, NJ

$127K - $137K/yr

Full-time

Posted 14 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

16th of 146 rated financial services


Job description

Job Description:

Position Description:

Designs quantitative and qualitative analyses to tackle complex problems including portfolio risk profiles, security pricing and valuation, and machine learning (ML) forecasting. Participates in quantitative and financial modeling, including valuation and pricing, investment products, financial planning components, market events, and credit risk. Supports model validation projects across enterprise-wide business groups, assessing model design, inputs, methodologies, and key assumptions. Leverages Bloomberg, Excel, and statistical software (R, Python, MATLAB, or SQL) to perform risk management and solve complex problems.

Primary Responsibilities:

  • Collaborates with model developers and owners to ensure models used by associates and customers are reliable, high-quality, and support sound business decisions.

  • Guides independent validation of quantitative models and reports findings to management, assessing market, financial, and operational risks.

  • Works cross functionally with business units and senior leadership to enhance current model development.

  • Ensures model owners have established effective standards, policies, and procedures.

  • Confirms complete and accurate documentation for each model.

  • Collaborates in the development and implementation of the Model Risk Management Framework by enforcing policies and procedures.

Education and Experience:

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, Mathematical Finance, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Manager, Quantitative Risk Analysis (or closely related occupation) performing risk management related to quantitative and qualitative modeling, valuation, pricing, investment products, financial planning, and ML, using statistical software packages (SQL and R, Python, or MATLAB).

Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, Mathematical Finance, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Manager, Quantitative Risk Analysis (or closely related occupation) performing risk management related to quantitative and qualitative modeling, valuation, pricing, investment products, financial planning, and ML, using statistical software packages (SQL and R, Python, or MATLAB).

Skills and Knowledge:

Candidate must also possess:

  • Demonstrated Expertise ("DE") performing quantitative and qualitative analyses to validate or audit financial, statistical, and AI models, using Python, R, SQL, and Excel; developing or implementing mathematical methodologies, algorithms, and diagnostics, using QuantLib, GBM Simulator, Arch, and LightGBM or scikit-learn (for testing model stability, reliability, performance, and quality control of modelling data).

  • DE implementing a comprehensive model risk management framework, policies, and procedures to identify, access, and mitigate enterprise-wide model risk; and conducting back, stress, and sensitivity testing, and scenario analysis, to assess model robustness under different conditions, and creating insightful visual representations, using NumPy, SciPy, and Pandas.

  • DE collaborating with individual contributors within model validation or model audit, research, and consultative projects -- defining project scope with business and risk leads, accessing and analyzing critical data, performing research, identifying and escalating key findings, and assessing impacts and potential solutions.

  • DE delivering recommendations to business stakeholders, communicating complex quantitative findings, presenting feedback on methodologies, and describing and documenting edge cases through written and oral presentations, using Word and PowerPoint.

Salary: $127,500.00 - $137,500.00/year.

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Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.


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