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$98K

$169.7K

$259.5K

How much do risk management quant jobs pay per year?

As of Sep 9, 2026, the average yearly pay for risk management quant in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is a risk management quant?

A Risk Management Quant, or quantitative risk analyst, is a professional who uses mathematical models and statistical techniques to assess, manage, and mitigate financial risks for organizations, particularly in the banking and finance sectors. They analyze data to identify potential risks and develop strategies to reduce exposure to those risks. Risk Management Quants often work closely with traders, portfolio managers, and other stakeholders to ensure that financial decisions align with the organization's risk tolerance and regulatory requirements.

What are the key skills and qualifications needed to thrive as a risk management quant?

To thrive as a Risk Management Quant, you need a strong background in mathematics, statistics, finance, and programming, typically supported by a quantitative degree such as mathematics, finance, or engineering. Proficiency in tools like Python, R, MATLAB, and risk management systems, as well as certifications like FRM or CFA, is highly valuable. Exceptional analytical thinking, attention to detail, and effective communication skills help you interpret data and explain complex risk models to stakeholders. These skills are essential for accurately identifying, measuring, and mitigating financial risks to support sound decision-making and regulatory compliance.

What are the primary challenges a risk management quant faces when developing and validating risk models?

One of the main challenges for a Risk Management Quant is ensuring that risk models accurately reflect ever-changing market conditions and regulatory requirements. This involves not only deep quantitative analysis but also ongoing model validation, backtesting, and transparent documentation. Additionally, Risk Management Quants must collaborate closely with traders, IT, and compliance teams to ensure their models are both practical and compliant, often under tight deadlines. Regular communication and the ability to explain complex concepts to non-technical stakeholders are also essential.

What is the difference between Risk Management Quant vs Quantitative Analyst?

AspectRisk Management QuantQuantitative Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or statistics; certifications like FRM or CFASimilar degrees; often CFA or CQF; sometimes advanced degrees in related fields
Work EnvironmentFinancial institutions, risk departments, trading firmsInvestment banks, hedge funds, asset management firms
Primary FocusAssessing and managing financial risks, developing risk modelsDeveloping quantitative models for trading, pricing, and investment strategies
Common Search/ComparisonRisk Management Quant vs Quantitative Analyst

While both roles require strong quantitative skills and similar educational backgrounds, Risk Management Quants focus on identifying and mitigating financial risks within organizations. Quantitative Analysts primarily develop models to support trading and investment decisions. The roles often overlap but differ in their core objectives and work environments.

What are popular job titles related to Risk Management Quant jobs?

For Risk Management Quant jobs, the most frequently searched job titles are:

Risk Management-Quant Model Director-Executive Director

Jersey City, NJ • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

$250/hr

Other

Posted 21 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

78th of 176 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 Risk Management Quant Modeling Director-Executive Director in Model Risk and Governance Review (MRGR), you play a key role in ensuring robust model risk management. You will provide direction in the validation and governance of Wholesale Grading Models, collaborate with experts across the firm, and help shape business strategy. You will expand your quantitative modeling expertise and contribute to the firm’s resilience.

Job responsibilities:
  • Play a senior role in the validation and governance of Wholesale Grading models across the firm including team leadership
  • Set and enhance standards for Wholesale model development practices
  • Evaluate adherence to development standards and performance metrics
  • Identify weaknesses, limitations, and emerging risks through independent testing
  • Communicate risk assessments and findings to stakeholders
  • Document conclusions in high-quality technical reports
  • Support ongoing model usage and aggregate model risk management
  • Participate in model-related audits and regulatory examinations
  • Provide technical leadership and oversight
  • Collaborate with cross-functional teams
  • Manage multiple priorities in a fast-paced environment
Required qualifications, capabilities, and skills:
  • Master's degree or PhD in a quantitative discipline (e.g., Mathematical Finance, Statistics, Mathematics, Physics, Engineering, Corporate Finance, Econometrics)
  • Minimum of 10 years of experience developing or validating Wholesale credit risk models, with focus on grading models
  • Expertise in statistical and quantitative techniques for Wholesale/grading model development and validation with the ability to provide technical leadership and insight and to evaluate modeling choices using both evidence and credit/economic intuition
  • Experience with wholesale grading across lending types, including obligor rating models and collateral-/facility-secured lending
  • Strong written and verbal communication skills
  • Proven leadership and risk management mindset
  • Strong project management and organizational skills
  • Proficiency in Python for model validation workflows (e.g. building benchmark models)
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