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Quantitative Risk Management Jobs (NOW HIRING)

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64K - $105K/yr

Key Responsibilities: * Assist the Quantitative Risk Manager in constructing a Credit Decision Scorecards and statistically based credit risk modeling strategies based on quantitative modeling ...

Wsfsbank

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64K - $105K/yr

Key Responsibilities: * Assist the Quantitative Risk Manager in constructing a Credit Decision Scorecards and statistically based credit risk modeling strategies based on quantitative modeling ...

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64K - $105K/yr

Key Responsibilities: * Assist the Quantitative Risk Manager in constructing a Credit Decision Scorecards and statistically based credit risk modeling strategies based on quantitative modeling ...

corpay

Quantitative Risk Analyst

Salt Lake City, UT · Hybrid

You will manage client data workflows, maintain and troubleshoot Python-based automations, and ... How We Work As a Quantitative Risk Analyst you will be expected to work in a hybrid environment.

corpay

Quantitative Risk Analyst

Salt Lake City, UT · Hybrid

You will manage client data workflows, maintain and troubleshoot Python-based automations, and ... How We Work As a Quantitative Risk Analyst you will be expected to work in a hybrid environment.

Ryan Specialty

Quantitative Risk Modeling Lead

Position Summary As a Quantitative Risk Modeling Led in the Ryan Credit Solutions department at ... We partner with banks, asset managers, and insurers to create bespoke solutions that address ...

Corpay

Quantitative Risk Analyst

Salt Lake City, UT · On-site

You will manage client data workflows, maintain and troubleshoot Python-based automations, and ... How We Work As a Quantitative Risk Analyst you will be expected to work in a hybrid environment.

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Quantitative Risk Management information

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$51.5K

$111.6K

$170K

How much do quantitative risk management jobs pay per year?

As of Jul 9, 2026, the average yearly pay for quantitative risk management in the United States is $111,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $129,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quantitative Risk Manager, and why are they important?

To thrive as a Quantitative Risk Manager, you need strong analytical skills, expertise in statistics or mathematics, and typically a degree in finance, economics, or a quantitative discipline. Familiarity with risk modeling software, programming languages like Python or R, and industry certifications such as FRM or CFA is often required. Outstanding problem-solving abilities, attention to detail, and effective communication set top professionals apart in this role. These skills are crucial for accurately assessing financial risks, making informed decisions, and communicating complex findings to stakeholders.

What is quantitative risk management?

Quantitative risk management is the process of using mathematical models, statistical techniques, and data analysis to identify, measure, and manage financial risks within an organization. Professionals in this field apply quantitative methods to assess potential losses from market movements, credit events, or operational failures, and help organizations make informed decisions to mitigate these risks. This approach is widely used in banking, insurance, asset management, and other financial sectors to ensure regulatory compliance and optimize risk-adjusted returns.

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

AspectQuantitative Risk ManagementQuantitative Analyst
Primary FocusAssessing and managing financial risksDeveloping models for investment strategies
CertificationsFRM, PRMCFA, CQF
Work EnvironmentFinancial institutions, risk departmentsInvestment banks, asset management firms
Key SkillsRisk modeling, regulatory knowledgeStatistical analysis, programming

Quantitative Risk Management focuses on identifying and mitigating financial risks within organizations, often requiring risk-specific certifications like FRM. In contrast, Quantitative Analysts develop models to support trading and investment decisions, emphasizing statistical and programming skills. Both roles are vital in finance but serve different strategic purposes.

How does a Quantitative Risk Management professional typically collaborate with other departments within a financial institution?

Quantitative Risk Management professionals frequently work closely with departments such as trading, finance, and compliance. They provide analytical support by developing risk models and stress-testing scenarios, ensuring that trading strategies and investment decisions align with the institution's risk appetite. Regular communication with IT teams is also common, as these professionals often need to implement or improve risk measurement tools and data systems. This cross-functional collaboration is essential for maintaining a robust risk management framework and responding effectively to emerging risks.
More about Quantitative Risk Management jobs
What cities are hiring for Quantitative Risk Management jobs? Cities with the most Quantitative Risk Management job openings:
What states have the most Quantitative Risk Management jobs? States with the most job openings for Quantitative Risk Management jobs include:
What job categories do people searching Quantitative Risk Management jobs look for? The top searched job categories for Quantitative Risk Management jobs are:
Quantitative Risk Management jobs near you
Infographic showing various Quantitative Risk Management job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $111,556 per year, or $53.6 per hour.
Lead Associate Principal, Quantitative Risk Management

Lead Associate Principal, Quantitative Risk Management

The Options Clearing Corporation

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

To be considered for this position, applications and resumes are accepted only through our careers site by directly applying to the posted job. We do not accept unsolicited resumes or sales solicitations from staffing agencies. Any OCC employee wishing to submit a referral must do so through their Workday account. Any resume submitted outside of an active job posting will not be considered for employment.
Who We Are
About Us
The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at www.theocc.com.
What We Offer
A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include:
A hybrid work environment, up to 2 days per week of remote work
Tuition Reimbursement to support your continued education
Student Loan Repayment Assistance
Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely
Generous PTO and Parental leave
Competitive health benefits including medical, dental and vision
Summary
This role is responsible for one or more functions within Quantitative Risk Management (QRM) to develop and maintain risk models for margin, clearing fund and stress testing: model analytics and performance monitoring; model prototyping and testing; and model implementation. This role will collaborate with other quantitative analysts, business users, data & technology staff, and model validation colleagues to implement new models and enhance existing models.
Responsibilities
  • Develop models for pricing, margin risking and stress testing of financial products and derivatives
  • Design, implement and maintain model prototypes, model library and model testing tools using best industry practices and innovations
  • Implement new models into model library and enhance existing models
  • Write and review documentations (whitepapers) for the models, model prototypes and model implementation
  • Perform model performance testing, including portfolio back-testing using historical data
  • Review implementation of models and algorithms focusing on requirement verification, coding, and testing quality
  • Conduct comprehensive quality assurance testing on model library including constructions of test cases, automation of model unit testing and creations of reference models if needed
  • Participate in model code reviews, model release testing (including margin impact analysis and baseline support and troubleshooting during model library integration with production applications) and production support
  • Support the launch of new products
  • Provide quantitative analysis and support to risk managers on pricing, margin, and risk calculations
  • Communicate model analysis to professionals across OCC and collaborate with cross-functional departments

Supervisory Responsibilities
  • None

Qualifications & Experience
  • [Required] Financial mathematics (derivatives pricing models, stochastic calculus, statistics and probability theory, advanced linear algebra)
  • [Required] Econometrics, data analysis (e.g., time series analysis, GARCH, fat-tailed distributions, copula, etc.) and machine learning techniques
  • [Required] Numerical methods and optimization; Monte Carlo simulation and finite difference techniques
  • [Required] Risk management methods (value-at-risk, expected shortfall, stress testing, backtesting, scenario analysis)
  • [Required] Financial products knowledge: good understanding of markets and financial derivatives in equities, interest rate, and commodity products
  • [Required] Strong programing skills. Able to read and/or write code using a programming language (e.g., Java, C++, Python, R, Scala, etc.) in a collaborative software development setting: Model development and prototyping requires advanced development skills in Python and database manipulation
  • [Required] Model implementation requires advanced Java programming ability and a demonstrated ability in developing and maintaining enterprise level software
  • [Required] Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources
  • [Required] Ability to challenge model methodologies, model assumptions, and validation approach
  • [Required] Proficiency in technical and scientific documentation (e.g., white papers, user guides, etc.)
  • [Preferred] Experience in Agile/SCRUM framework

Technical Skills & Background
  • [Required] Proficiency in database technology and query languages (such as SQL)
  • [Preferred] Non-relational DB and other Big Data, cloud-based computing experience
  • [Required] Proficiency in Java is required for model implementation (Java 8 or later)
  • [Required] Experience in a scripting language such as Python, R or MATLAB
  • [Required] Experience with numerical libraries and/or scientific computing |[Preferred] Experience with numerical optimizers using NAG, Matlab or similar| [Required] Experience with automated quality assurance frameworks is required (e.g., Junit, TestNG, Selenium, etc.) for model testing
  • [Required] Experience with code repository, build and deployment tools (e.g., Git, GitHub, Jenkins)
  • [Required] Software design: effective application of design patterns, expertise in object-oriented design
  • [Preferred] Experience with high performance computing
  • [Required] Experience in office technology such as PowerPoint, Confluence, Latex, Word, and Excel

Certifications
  • [Preferred] FRM, CFA, etc.

Education & Training
  • [Required] Master's degree or equivalent in a quantitative field such as computer science, mathematics, physics, finance/financial engineering
  • [Preferred] PhD
  • 5-7 years of experience in quantitative areas in finance and/or development experience in model implementation and testing

About Us
The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at www.theocc.com.
Benefits
A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include:
  • A hybrid work environment, up to 2 days per week of remote work
  • Tuition Reimbursement to support your continued education
  • Student Loan Repayment Assistance
  • Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely
  • Generous PTO and Parental leave
  • 401k Employer Match
  • Competitive health benefits including medical, dental and vision

Visit https://www.theocc.com/careers/thriving-together for more information.
Compensation
  • The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education.
  • In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer.
  • We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on www.theocc.com/careers
  • All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed.

Salary Range
$128,800.00 - $230,200.00
Incentive Range
8% to 15%
This position is eligible for an annual discretionary incentive compensation award, for which the target range is listed above (see Incentive Range). The amount of such award, if any, will be based on various factors, including without limitation, both individual and company performance.
Step 1
When you find a position you're interested in, click the 'Apply' button. Please complete the application and attach your resume.
Step 2
You will receive an email notification to confirm that we've received your application.
Step 3
If you are called in for an interview, a representative from OCC will contact you to set up a date, time, and location.
For more information about OCC, please click here.
OCC is an Equal Opportunity Employer

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