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Quantitative Model Developer Jobs in Texas (NOW HIRING)

Operationalize the outputs of powerflow models and grid topology to anticipate network congestion ... Bachelor's degree required in Electrical Engineering, Power Systems, Quantitative Finance or a ...

Provide different view on methodology and calculations, and provide feedback to model developers ... Quantitative analysis skills * Work experience in Financial Industry * Model development or ...

Senior Developer

Austin, TX

$54 - $71.25/hr

As a Senior Developer in our Technology team, you will design and build high-performance systems ... will translate quantitative models and trading strategies into robust, scalable software that ...

Senior Developer

Austin, TX · On-site

$54 - $71.25/hr

As a Senior Developer in our Technology team, you will design and build high-performance systems ... will translate quantitative models and trading strategies into robust, scalable software that ...

You will design and maintain robust financial and operational models, architect scalable BI ... and engineers, fostering a culture of continuous learning and innovation. What You'll Bring ...

You will design and maintain robust financial and operational models, architect scalable BI ... and engineers, fostering a culture of continuous learning and innovation. What You'll Bring ...

AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ... Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

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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 May 28, 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 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 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 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:
Infographic showing various Quantitative Model Developer job openings in Texas as of May 2026, with employment types broken down into 2% As Needed, 95% Full Time, and 3% Part Time. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $158,128 per year, or $76 per hour.
Corporate Treasury, Liquidity Meterics Strats, Quantitative Engineering, Dallas, Vice President

Corporate Treasury, Liquidity Meterics Strats, Quantitative Engineering, Dallas, Vice President

Goldman Sachs, Inc.

Dallas, TX • On-site

Other

Posted 9 days ago


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks


Job description

 LIQUIDITY METRICS STRATS

Liquidity and Prime Risk Strats use their engineering and mathematical background to identify and measure risk and to implement quantitative and technical risk modelling solutions. Successful Strats are highly analytical, driven to own commercial outcomes, and communicate with precision and clarity. As a part of the team, you will work with our key business partners and understand financial markets to quantify the firm's liquidity risk. You will also focus on developing quantitative models & scalable architecture.

RESPONSIBILITIES

  • Develop, implement, and maintain quantitative measures of liquidity risk using advanced mathematical/statistical/engineering approaches
  • Perform quantitative analysis and facilitate understanding of a variety of financial instruments, including secured funding transactions, collateral firm and client inventory, and loans and commitments
  • Quantify and monitor measures of risk in different areas across the firm, such as prime brokerage, synthetic trading, and repo trading
  • Work alongside revenue generating functions and corporate treasury to implement the liquidity regulatory requirements
  • Communicate clearly complex mathematical concepts with internal and external stakeholders such as risk managers, senior management and regulators.
  • Updating and maintaining risk models along with business growth and risk environment changes
  • Developing and maintaining large scale risk infrastructures/systems in a compiled or scripting language

QUALIFICATIONS

  • At least 7 years of prior experience in the financial industry, preferably in Capital Markets, Risk or Treasury functions
  • Strong quantitative skills with an advanced degree in Mathematics, Physics, Engineering or other highly quantitative discipline
  • Strong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python)
  • Strong written and verbal communication skills - ability to explain complex quantitative concepts to a non-technical audience
  • Strong analytical and problem solving skills using math, statistics, and programming
  • Demonstrated ability to learn technologies and apply
  • Familiarity with financial markets, financial assets and liquidity risk management practices is a plus

ABOUT GOLDMAN SACHS

 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. Learn more about our culture, benefits, and people at GS.com/careers. 


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Goldman Sachs logo

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