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Quantitative Model Developer Jobs in Texas (NOW HIRING)

Contribute meaningfully to quantitative models, research, and tooling used daily on the Trading ... Collaborate efficiently with traders and developers to deliver reliable software and research ...

Contribute meaningfully to quantitative models, research, and tooling used daily on the Trading ... Collaborate efficiently with traders and developers to deliver reliable software and research ...

Contribute meaningfully to quantitative models, research, and tooling used daily on the Trading ... Collaborate efficiently with traders and developers to deliver reliable software and research ...

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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.
Finance Quant Model Developer Senior Associate

Finance Quant Model Developer Senior Associate

Chase

Plano, TX • On-site

Other

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


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Senior Associate, Asset and Wealth Management Finance Quantitative Modeling Team

The Asset and Wealth Management (AWM) Finance Quantitative Modeling Team uses advanced statistical, quantitative, and computing techniques to develop, implement, test, and conduct analysis on advanced financial forecasting models. The modeled financial outcomes range from investment assets under management and their associated fees to deposit balances to lending portfolio balances and their credit costs. These models support regulatory requirements and inform business decision making.As a Senior Associate on the Asset and Wealth Management Finance Quantitative Modeling Team, you will build, test, and implement advanced forecasting models using statistical and computing techniques to help us meet regulatory requirements and make better business decisions. You'll work closely with partners in product and risk to translate model outputs into clear insights, analyze large datasets for trends and drivers, proactively identify risks in model assumptions and results, and document methodologies so we can use these tools responsibly and confidently.

Job Responsibilities:

  • Support the design, testing, and implementation of quantitative models for pricing, risk management, and financial forecasting--using Python or similar programming / statistical packages.
  • Work closely with product and risk managers and other stakeholders to understand business needs, particularly as they relate to interpreting model output.
  • Identify and assess potential risks associated with model assumptions and outputs while developing strategies to mitigate identified risks.
  • Analyze large datasets to identify trends, patterns, and insights and use statistical tools and techniques to interpret complex data.
  • Prepare detailed documentation of model methodologies, assumptions, and limitations.

Required Qualifications, Capabilities, and Skills:

  • Master's or doctoral degree in a quantitative field, such as Mathematics, Statistics, Economics, Finance, or Engineering.
  • 4+ years of experience in developing and implementing quantitative models in a financial, business, and/or post-baccalaureate academic research setting.
  • Strong understanding of statistical and mathematical modeling and testing techniques.
  • Strong understanding of standard statistical and mathematical modeling tools, e.g., Python, SAS, and Excel.
  • Strong problem-solving skills and the ability to work with complex cross-sectional and longitudinal datasets.
  • Ability to interpret and communicate quantitative results to non-technical stakeholders.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans


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