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Quantitative Risk Management Jobs in Texas (NOW HIRING)

Job Summary We are seeking a Senior Quantitative Risk Manager to develop, enhance, and govern quantitative models used to value, risk assess, and explain exposures across natural gas, LNG, power, and ...

Job Summary We are seeking a Senior Quantitative Risk Manager to develop, enhance, and govern quantitative models used to value, risk assess, and explain exposures across natural gas, LNG, power, and ...

Quantitative Risk Analyst Contract Type: Permanent Time Type: Full time Quantitative Risk Analyst ... the Head of Risk and Senior Management. Aggregate data from various sources and maintain ...

... Risk and Senior Management. • Aggregate data from various sources and maintain disciplined data science practices. Profile • At least 3-10 years' experience in quantitative role in a trading ...

... Management Institute, ISO 31000). * Experience in facilitating quantitative risk analysis (QRA) workshops on cost and schedule. * Experience in conceptualizing and developing risk models using ...

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Quantitative Risk Management information

See Texas salary details

$48K

$103.9K

$158.4K

How much do quantitative risk management jobs pay per year?

As of Jun 30, 2026, the average yearly pay for quantitative risk management in Texas is $103,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $120,200.00 per year, depending on experience, location, and employer.

What is the salary of a quant Risk Manager?

A quantitative risk manager's salary typically ranges from $100,000 to $200,000 annually, depending on experience, location, and the size of the organization. Senior roles or those in major financial hubs can earn higher compensation, often supplemented with bonuses and incentives. Skills in programming, statistical analysis, and risk modeling are highly valued in this role.

What is the highest paying risk management job?

In risk management, senior roles such as Chief Risk Officer (CRO) or Director of Risk typically have the highest salaries, often exceeding six figures annually. These positions require extensive experience, advanced certifications like FRM or CFA, and strong leadership skills, especially in financial institutions or large corporations.

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 involves using mathematical models, statistical techniques, and data analysis to identify, assess, and mitigate financial risks. Professionals in this field often work with tools like risk metrics, simulations, and software to help organizations make informed decisions and comply with regulatory standards.

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 much do quant risk managers make?

Quantitative risk managers typically earn between $100,000 and $200,000 annually, with senior roles and those in major financial centers earning higher salaries. Compensation often includes bonuses and incentives based on performance, and strong skills in programming, statistics, and financial modeling are highly valued.

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.
What are popular job titles related to Quantitative Risk Management jobs in Texas? For Quantitative Risk Management jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Management jobs in Texas look for? The top searched job categories for Quantitative Risk Management jobs in Texas are:
Infographic showing various Quantitative Risk Management job openings in Texas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $103,932 per year, or $50 per hour.
Director, Quantitative Risk Management

Director, Quantitative Risk Management

The Options Clearing

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Direct and review the development, implementation, and maintenance of models for pricing, margin risk, and stress testing of financial products and derivatives.

  • Oversee analysis and implementation of new financial products at OCC and lead remediation of Model Validation or regulatory findings.

  • Produce technical documentation and whitepapers, and communicate model performance monitoring results to peers and leadership.


Job description

What You'll Do:

This role directs the development, implementation, testing and maintenance of models used for margin, clearing fund and stress testing. The range of responsibilities, varies depending on his/her focus within QRM, that includes research and development of significant model features, leading prototype development and testing, designing tools for model performance monitoring, managing or providing technical leadership for model prototypes, implementing and supporting integration of model code library into OCC risk systems. This role will work closely with risk managers in Financial Risk Management and partners in other areas, including Information Technology, Model Validation, and Compliance.

Primary Duties and Responsibilities:

To perform this job successfully, an individual must be able to perform each primary duty satisfactorily.

  • Direct, lead and review development and implementation of models for pricing, margin risk and stress testing of financial products and derivatives |Oversee analysis of new products and drive their implementation at OCC

  • Research and present model alternatives based on the academic literature, industry best practices, data analysis and model prototyping

  • Produce high quality whitepapers and technical documentation following QRM's procedures and templates

  • Develop standards, procedures and tools for model performance monitoring and communicate results to peers and leadership

  • Lead and direct implementation of the model development tools in QRM supporting model analysis and backtesting

  • Lead and direct implementation of the model analytics in the QRM Library

  • Partner with IT and other departments delivering QRM analytics to production

  • Provide production support, participate in troubleshooting and analysis of model, system and data issues

  • Lead remediation of Model Validation or regulatory findings

  • Prepare and present materials supporting management and regulatory inquiries

  • Provide intellectual leadership promoting innovation and learning

Supervisory Responsibilities:

  • Manage a team of finacial engineers/model developers

Qualifications:

The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions.

  • [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: seasoned level in understanding of markets and financial derivatives in equities, interest rate, and commodity products

  • [Required] Seasoned level in programing skills. Advanced proficiency in using a programming language (e.g., Java, C++, Python, R, MATLAB, etc.) in a collaborative software development setting. Model development and prototyping requires advanced development skills in Python and data mining

  • [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] Seasoned level in technical and scientific documentation (e.g., whitepapers, user guides, etc.)

Technical Skills:

  • [Required] Expert in database technology, query languages (such as SQL), and efficient storage and serialization protocols

  • [Required] For model development and prototyping role: expert in a scripting language such as Python, R or MATLAB

  • [Required] Experience with numerical libraries and/or scientific computing including numerical optimizers (e.g. NAG, MATLAB)

  • [Required] Experience with automated testing frameworks (e.g., Junit, TestNG, PyTest, etc.)

  • [Required] Experience with CI/CD and DevOps tools (e.g., Git, GitHub and various profiling and telemetry tools) is required for model implementation and application development.

  • [Required] Experience with high performance computing, distributed computation engines and cloud computing

  • [Required] Advanced proficiency in office technology such as PowerPoint, Confluence, Latex, Word, and Excel

Education and/or Experience:

  • [Required] Master's degree or equivalent in a quantitative field such as computer science, mathematics, physics, finance/financial engineering

  • [Preferred] PhD degree in one of the above fields

  • [Required] 10+ years of experience of quantitative research and/or model implementation in finance

  • [Required] 5+ years of experience in people management

Certificates or Licenses:

  • [Preferred] FRM, CFA, etc.

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

$177,300.00 - $288,400.00

Incentive Range

23% to 30%

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 andattach 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