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Quantitative Model Developer Jobs in Texas (NOW HIRING)

Fifth Third

Senior Quant Analyst-CCAR/CECL

Dallas, TX · On-site +1

Advanced degree in quantitative analytics, economics, statistics, engineering, or a related area. * Minimum 4-5 years of experience in statistical/econometric modeling and database management.

Tata Consultancy Service Limited

Data Scientist

Irving, TX · On-site

$90K - $105K/yr

Roles & Responsibilities Model Validation: Conduct independent reviews and testing of quantitative ... Provide constructive, actionable feedback and challenges to model developers regarding model design ...

Sunflower Bank NA

Model Risk Analyst

Dallas, TX · Hybrid

... quantitative models. This role ensures that models-used for credit risk, liquidity risk, market ... Act as a key point of contact with model developers and owners to discuss validation findings and ...

Turing

Remote Quantitative Analyst (Finance)

Houston, TX · On-site

$100/hr

... models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy ...

Turing

Remote Quantitative Analyst (Finance)

El Paso, TX · On-site

$100/hr

... models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy ...

Turing

Remote Quantitative Analyst (Finance)

Lubbock, TX · On-site

$100/hr

... models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy ...

Turing

Remote Quantitative Analyst (Finance)

Plano, TX · On-site

$100/hr

... models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy ...

Turing

Remote Quantitative Analyst (Finance)

Austin, TX · On-site

$100/hr

... models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy ...

Turing

Remote Quantitative Analyst (Finance)

Dallas, TX · On-site

$100/hr

... models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy ...

SaltHill Group

Commodity Quantitative Strategist

Houston, TX · On-site

$116K - $149K/yr

Calibrating pricing models to market observables or historical price information, in close ... D. or master's) in a quantitative field (hard sciences required - mathematics, engineering, physics ...

Sunflower Bank, N.A.

Model Risk Analyst

Dallas, TX · On-site

... quantitative models. This role ensures that models--used for credit risk, liquidity risk, market ... Act as a key point of contact with model developers and owners to discuss validation findings and ...

Sunflower Bank NA

Model Risk Analyst

Dallas, TX · On-site

... quantitative models. This role ensures that models-used for credit risk, liquidity risk, market ... Act as a key point of contact with model developers and owners to discuss validation findings and ...

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All JobsQuantitative Model Developer JobsQuantitative Model Developer Jobs in Texas

Quantitative Model Developer information

See Texas salary details

$91.3K

$158.1K

$241.8K

How much do quantitative model developer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for quantitative model developer in Texas is $158,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $185,400.00 per year, depending on experience, location, and employer.

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

To excel as a Quantitative Model Developer, you need strong mathematical and statistical skills, proficiency in programming languages like Python, R, or C++, and typically a degree in mathematics, statistics, computer science, or a related field. Experience with modeling frameworks, data analysis tools, and familiarity with quantitative finance platforms such as MATLAB or QuantLib are commonly required. Critical thinking, attention to detail, and effective communication are important soft skills for interpreting complex data and collaborating with cross-functional teams. These abilities are essential for developing accurate, reliable models that inform financial decision-making and risk management.

How does a Quantitative Model Developer typically collaborate with other teams within a financial institution?

Quantitative Model Developers frequently work alongside risk management, trading, and IT departments to ensure that financial models are both robust and aligned with business objectives. They often translate complex mathematical concepts for stakeholders, assist in model implementation, and respond to feedback or changing requirements. Collaboration is key, as they must ensure models are technically sound, regulatory compliant, and seamlessly integrated into production systems. Regular communication and interdisciplinary teamwork are essential for resolving challenges and delivering effective solutions.

What is the difference between Quantitative Model Developer vs Quantitative Analyst?

AspectQuantitative Model DeveloperQuantitative Analyst
Primary FocusDesigning, developing, and implementing quantitative modelsAnalyzing data to inform trading, investment, or risk decisions
Skills & CertificationsProgramming (Python, C++, R), quantitative finance, model developmentData analysis, statistical skills, financial knowledge
Work EnvironmentQuant teams in finance firms, hedge funds, banksResearch teams, trading desks, investment firms
Common UsageBuilding models used in trading algorithms and risk managementInterpreting data to support investment strategies

While both roles require quantitative skills and finance knowledge, Quantitative Model Developers focus on creating and coding models, whereas Quantitative Analysts analyze data to guide decisions. The roles often overlap but differ mainly in their core responsibilities and technical focus.

What does a Quantitative Model Developer do?

A Quantitative Model Developer designs, implements, and maintains mathematical models used in finance, banking, or other industries to analyze data and support decision-making. They use programming languages, statistical techniques, and financial theory to develop models for tasks such as risk assessment, pricing, or forecasting. These professionals work closely with traders, analysts, and other stakeholders to ensure the models are accurate, efficient, and aligned with business goals.
What are popular job titles related to Quantitative Model Developer jobs in Texas? For Quantitative Model Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Quantitative Model Developer jobs in Texas look for? The top searched job categories for Quantitative Model Developer jobs in Texas are:
Quantitative Model Developer jobs near you
Engineering - Dallas - Associate, Quantitative Engineering - 033664

Engineering - Dallas - Associate, Quantitative Engineering - 033664

Goldman Sachs, Inc.

Dallas, TX

Other

Posted 29 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

30th of 142 rated banks

Job description

Job Duties: Associate, Quantitative Engineering with Goldman Sachs & Co. LLC in Dallas, Texas. Multiple positions available. Develop, implement, and document scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research or related quantitative field and one (1) year of experience in job offered or a related quantitative engineering role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, Data Science, Operations Research or related quantitative field and two (2) years of experience in job offered or a related quantitative engineering role. Prior experience must include one (1) year of experience (with a Master's degree) OR two (2) years of experience (with a Bachelor's degree) with 5 of the 7 following skills: C++, Java, or Python; developing probability and pricing models utilizing financial mathematics principles, including stochastic calculus, no-arbitrage pricing theory, partial differential equations, multivariable calculus, linear algebra, numerical methods, optimization, probability, or random processes; quantitative analysis and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management or scenario-based analysis; developing quantitative risk analytics, including factor models; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; and statistics and data driven performance analysis, including Linear Regression or Time Series Analysis to measure performance.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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