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Quantitative Risk Modeler Jobs in Dallas, TX (NOW HIRING)

PNC Bank

LOB Risk Lead

Dallas, TX

... in quantitative risk analysis and risk-informed decision making. Risk Quantification Responsibilities: Technology Loss Modeling: Develops and enhances technology loss estimation methodologies.

Sunflower Bank NA

Model Risk Analyst

Dallas, TX · Hybrid

A minimum of one year of experience in model development, model validation, quantitative risk management, or financial modeling and/or other related disciplines. * Familiarity with Excel, SQL, Python ...

Sunflower Bank, N.A.

Model Risk Analyst

Dallas, TX · On-site

A minimum of one year of experience in model development, model validation, quantitative risk management, or financial modeling and/or other related disciplines. * Familiarity with Excel, SQL, Python ...

Sunflower Bank NA

Model Risk Analyst

Dallas, TX · On-site

A minimum of one year of experience in model development, model validation, quantitative risk management, or financial modeling and/or other related disciplines. * Familiarity with Excel, SQL, Python ...

DTCC

Market Risk Senior Analyst

Coppell, TX · Hybrid

DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays ... FR&G collaborates closely with Quantitative Risk Management and the Counterparty Credit Risk teams ...

DTCC

Market Risk Senior Analyst

Coppell, TX · On-site

DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays ... FR&G collaborates closely with Quantitative Risk Management and the Counterparty Credit Risk teams ...

DTCC

Market Risk Senior Analyst

Coppell, TX · On-site

DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays ... FR&G collaborates closely with Quantitative Risk Management and the Counterparty Credit Risk teams ...

Bank OZK

Associate, Quantitative Modeling

Dallas, TX

The modeling and the resulting quantification is used to influence strategic decisions by executive ... Also develops and documents the quantitative tools used to quantify credit risk, provide early ...

Bank OZK

Associate, Quantitative Modeling

Dallas, TX · On-site

The modeling and the resulting quantification is used to influence strategic decisions by executive ... Also develops and documents the quantitative tools used to quantify credit risk, provide early ...

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Quantitative Risk Modeler information

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$96.9K

$167.9K

$256.7K

How much do quantitative risk modeler jobs pay per year?

As of Aug 6, 2026, the average yearly pay for quantitative risk modeler in Dallas, TX is $167,901.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,100.00 and $196,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a quantitative risk modeler?

To thrive as a Quantitative Risk Modeler, you need strong quantitative analysis skills, advanced knowledge of statistics, mathematics, and finance, and typically a degree in a quantitative field such as mathematics, finance, or engineering. Proficiency with programming languages like Python, R, or MATLAB, and familiarity with risk management systems and financial modeling software are commonly required, as are certifications such as FRM or CFA. Excellent problem-solving abilities, attention to detail, and effective communication skills are critical for interpreting data and conveying complex concepts to non-technical stakeholders. These skills ensure accurate risk assessment, effective model development, and successful collaboration within cross-functional teams in high-stakes financial environments.

What are the primary responsibilities of a quantitative risk modeler on a daily basis?

A Quantitative Risk Modeler’s typical day involves developing, testing, and validating quantitative models used to assess financial risks such as credit, market, or operational risk. You’ll often work with large datasets, use statistical and computational methods to analyze risk exposures, and document your findings for regulatory compliance. Collaboration with traders, risk managers, and other data professionals is common to ensure models accurately reflect real-world financial conditions. Additionally, you may be involved in meetings to discuss model outcomes, propose improvements, and stay updated on the latest regulatory and industry standards.

What is a quantitative risk modeler?

A Quantitative Risk Modeler assesses financial risks by developing mathematical models and statistical techniques to analyze market, credit, and operational risks. They use programming, data analysis, and financial theories to quantify risk exposure and support decision-making in banks, investment firms, and risk management teams. Their work involves stress testing, scenario analysis, and creating predictive models to enhance risk assessment and regulatory compliance.

What are popular job titles related to Quantitative Risk Modeler jobs in Dallas, TX? For Quantitative Risk Modeler jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Modeler jobs in Dallas, TX look for? The top searched job categories for Quantitative Risk Modeler jobs in Dallas, TX are:
Quantitative Risk Modeler jobs near you
Infographic showing various Quantitative Risk Modeler job openings in Dallas, TX as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $167,901 per year, or $80.7 per hour.

Manager - Securities Lending Quantitative Modeler

Charles Schwab Inc.

Westlake, TX • On-site

$91K - $165K/yr

Full-time

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

Job description

Your Opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
As a Manager (AI & Data Science), you will be part of the Product Modeling team within the Treasury Modeling department, serving as a Securities Lending Quant dedicated to the Securities Lending trading desk. The Product Modeling team is responsible for data-driven deposit, margin, and securities lending/borrowing analytics, developing and maintaining models that support product balance forecasting, pricing, and overall P&L management across these businesses.
A key focus of our team is to drive forward the model automation efforts across the product modeling team. We are currently building out a scalable and robust infrastructure that allows us to run forecast scenarios for BAU, market risk, and interest rate risk in a highly automated and controlled fashion. Additionally, our team is at the forefront of researching and developing new analytics explaining movements in deposits, margin loans and securities lending/borrowing over various time frames. Based on these analytics, we develop new models that go through a rigorous model validation process. Our analytics and models provide valuable and actionable insights to senior stakeholders not only within Treasury, but also across the broader Finance organization and the firm overall.
In this role, you will have the opportunity to use a wide variety of skills. Your highly quantitative background, strong programming skills, and experience working with large datasets will help you extract valuable insights for the Securities Lending business. Your modeling background will enable you to translate those insights into robust forecasting, pricing, and risk models, while your programming experience will allow you to write production-level code under a rigorous change management process. Your entrepreneurial spirit will help you identify opportunities to improve decision-making and support the bottom line of the Securities Lending trading desk. While doing all this, you will collaborate closely with desk stakeholders and present your results and observations to a wide group of partners.
If you are looking for a role where you can leverage all these skills and want to be part of a very impactful and driven team within the Treasury organization, we encourage you to apply.
What you have
Required skills
  • Bachelor's degree with a strong quantitative component (Applied Math, Statistics, Economics, Physics, Financial Engineering)
  • At least 5 years of work experience in a large financial company as a quantitative modeler with consideration given for graduate degrees
  • Ability to develop new models, improve efficacy of existing models and rigorously test them
  • Solid understanding of statistical and quantitative modeling concepts and practical experience using statistical techniques to extract insights from large datasets
  • Strong programming skills in a modern programming language (e.g., Python, C++) and familiarity with object-oriented coding principles
  • Experience with a modern software change management process.
  • Advanced experience extracting data from relational databases (e.g., via SQL)
  • Experience in visualizing data analytics and model results.
  • Strong work ethic, high self-motivation, proactive approach, attention to detail and ability to deliver under tight deadlines
  • Excellent communication skills, both verbally and written
  • Strong inter-personal skills and a collaborative team-player
  • Advanced skills in Excel and PowerPoint

Preferred skills
  • Graduate degree (Master of Science/Ph.D.) in a quantitative discipline (Applied Math, Statistics, Economics, Physics, Financial Engineering)
  • Prior work experience in a Treasury department of a broker-dealer
  • Prior experience modeling equity-linked products
  • Prior experience in securities lending is a plus

What you'll do:
  • Gain a deep understanding of securities lending and borrowing models, including the balance, pricing, risk, and P&L drivers that support trading desk decision-making.
  • Analyze large data sets to extract insights into securities lending activity and provide analytical support for strategic and trading desk decisions.
  • Apply deep understanding of broker-dealer operations to work directly with the Securities Lending and Borrowing trading desk, incorporating trading behaviors, market structure, and balance and P&L drivers into robust analytics, forecasting, pricing, and risk models. This includes research, model white papers, technical documentation, and ongoing model maintenance.
  • Automate models and analytics via a modern software change management process.
  • Support production runs and closely work with downstream users of our models and analytics.
  • Contribute to the future state of model development infrastructure and data patterns supporting scalable forecasting, pricing, and scenario analysis, while advancing AI/ML capabilities.
  • Leverage industry opportunities to expand the organization's capabilities in data science, engineering, and modeling techniques.

In addition to the salary range, this position is also eligible for bonus or incentive opportunities.

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