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Quantitative Modeling Jobs in Dallas, TX (NOW HIRING)

Deliver market insights on trends in credit risk, quantitative modeling, private credit, regulatory developments, ratings usage, and portfolio management practices. * Represent the organization ...

Knowledge of quantitative modeling principles and data quality standards. * Ability to communicate effectively both verbally and in writing to a broad level of audiences. * Ability to utilize ...

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Quantitative Modeling information

See Dallas, TX salary details

$97K

$168K

$256.8K

How much do quantitative modeling jobs pay per year?

As of Sep 4, 2026, the average yearly pay for quantitative modeling in Dallas, TX is $167,972.00, 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 is a quantitative modeling?

A Quantitative Modeling job involves using mathematical, statistical, and computational techniques to analyze data and construct models that help businesses make informed decisions. Professionals in this field work in finance, risk management, economics, and other industries to develop predictive models, optimize strategies, and assess uncertainties. They often use programming languages like Python, R, or MATLAB, along with machine learning and statistical methods, to solve complex problems.

What are typical daily tasks and projects for someone in a quantitative modeling role?

In a Quantitative Modeling position, your daily activities usually include analyzing large datasets, building and validating predictive models, and developing algorithms to solve business or financial problems. You might spend time coding, running simulations, and interpreting model outputs to inform strategy or risk assessment. Collaboration is common—you'll often work with data scientists, business analysts, or subject matter experts to refine models and ensure they're aligned with organizational goals. The work is intellectually stimulating and fast-paced, with opportunities to see your analytical insights directly impact decision-making.

What are the key skills and qualifications needed to thrive in the quantitative modeling position, and why are they important?

To excel in Quantitative Modeling, a strong foundation in mathematics, statistics, and data analysis is essential, often complemented by a degree in a quantitative field such as mathematics, finance, engineering, or physics. Proficiency in programming languages like Python, R, MATLAB, or statistical software, as well as familiarity with data visualization tools and financial modeling certifications (such as CFA or FRM), is highly valued. Effective quantitative modelers possess strong problem-solving abilities, attention to detail, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. These skills enable accurate, data-driven decision-making and the creation of robust predictive models in business, finance, or technology sectors.

What does a quantitative modeler do?

A quantitative modeler develops mathematical and statistical models to analyze financial data, assess risk, and support decision-making. They use programming languages like Python or R and tools such as Excel or specialized software, often working in finance, investment, or risk management environments.

What are the most commonly searched types of Quantitative Modeling jobs in Dallas, TX?

The most popular types of Quantitative Modeling jobs in Dallas, TX are:

What are popular job titles related to Quantitative Modeling jobs in Dallas, TX?

For Quantitative Modeling jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Quantitative Modeling jobs in Dallas, TX look for?

The top searched job categories for Quantitative Modeling jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Quantitative Modeling jobs?

Cities near Dallas, TX with the most Quantitative Modeling job openings:

Infographic showing various Quantitative Modeling job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $167,972 per year, or $80.8 per hour.

Associate, Model Development (Hybrid Position)

Santander Consumer USA Inc.

Dallas, TX • On-site

$90 - $170/hr

Other

Posted 3 days ago

New


Key responsibilities

  • Supervises the development and maintenance of empirical models, including credit scoring models, for a nonprime auto lender.

  • Uses statistical techniques and data analysis to develop insights, support decision-making, and create model development datasets.

  • Summarizes and reports analytic findings to internal and external clients, and supports model validation and documentation activities.


Job description

The Difference You Make

Associate, Model Development is responsible for supervising the development and maintenance of sophisticated empirical models – including credit scoring models – for a nonprime auto lender. The position is highly quantitative in nature and requires an individual capable of taking a "hands on" approach to data analysis. This position is furthermore responsible for summarizing and reporting information to a variety of internal and external clients.

  • Supervises the development of complex mathematical models – including credit origination and customer behavior scorecards – which directly support critical decision making processes and the company’s overall understanding of our business, the markets with
  • Develops the underlying assumptions, theory, empirical evidence, and conceptual soundness of statistical and mathematical models.
  • Applies statistical techniques to analyze trends and uncover risks and opportunities relative to portfolio management and originations.
  • Uses internal and external data sources to create robust model development datasets.
  • Ensures modeling projects are conducted in accordance with established company policies and generally-accepted mathematical modeling practices.
  • Identifies modeling needs and communicates them to the Director Quantitative Modeling.
  • Periodically assesses department procedures for accuracy and completeness.
  • Utilizes data mining and statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations.
  • Encapsulates analytic findings into executive-level summary documents to support senior management decision-making.
  • Liaisons with IT and other internal teams to define requirements and ensure the timely and accurate delivery of data elements required for analytic projects.
  • Provides requisite information in support of independent model validation activities.
  • Actively participates in the professional development of junior-level statisticians.
  • Develops a thorough understanding of the firm’s operations and business practices.
  • Support Model Validation and documentation of models in accordance with Santander Consumer USA internal policies and U.S. Federal Reserve regulations (SR 11-07).
What You Bring

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education
  • Bachelor’s Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education – Required
  • Master's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education – Preferred
Qualifications
  • 5+ Years Analytics in Financial Services Industry – Required.
  • 5+ Years Indirect subprime Auto Financial Services Industry experience – Preferred.
  • 5+ Years Prior experience developing credit scoring models preferred – Preferred.
  • Demonstrated experience with logistic regression models, segmentation and variable reduction techniques, hypothesis testing, neural networks, design of experiments, ANOVA, decision trees, and linear regression.
  • Prior experience working with credit bureau data.
  • Prior experience using SAS, particularly SAS base, SAS/STAT, PROC SQL, and SAS Macro programming. Additional knowledge of R preferred.
  • Demonstrated ability to use SQL and SAS to extract data from multiple data sources.
  • Demonstrated ability to merge, concatenate, clean, and prepare extremely large datasets for statistical analysis and mathematical model development.
  • Demonstrated ability to create complex pivot tables in MS Excel.
  • Ability to effectively explain advanced mathematical concepts, techniques, and analyses to a business audience.
  • Ability to translate analysis into a clear business plan.
  • Strong written and verbal communication skills.
  • Ability to delegate and co-ordinate multiple tasks related to the development and monitoring of statistical models.
  • Ability to maintain confidentiality.
Certifications
  • No Certifications listed for this job.
It Would Be Nice For You To Have
  • Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.
Work Authorization & Sponsorship

Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment.

Base Pay Range

Minimum: $90,000.00 USD

Maximum: $170,000.00 USD

Risk Culture

We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

EEO Statement

At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law.

Working Conditions

Frequent minimal physical effort such as sitting, standingand walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required.

Employer Rights

This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason.

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