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Quantitative Model Developer Jobs in Texas (NOW HIRING)

Bachelor's degree in Statistics, Mathematics, Data Science, or a related quantitative field. * Approximately 3+ years of hands‑on experience as a model developer or model validator, specifically ...

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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 Aug 8, 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?

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:
Infographic showing various Quantitative Model Developer job openings in Texas as of August 2026, with employment types broken down into 2% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $158,128 per year, or $76 per hour.

VP/Director, Quantitative Analyst - Commodities Quantitative Strategies and Data Group

Bank of America

Houston, TX • On-site

$100 - $300/hr

Other

PTO

Posted 24 days ago


Bank Of America rating

8.2

Company rating: 8.2 out of 10

Based on 525 frontline employees who took The Breakroom Quiz

51st of 170 rated banks


Job description

Job Description

We are seeking a talented and driven Quantitative Analyst to join our Commodities Quantitative Strategies and Data Group (QSDG). This mid-to-senior level role focuses on the design, implementation, and maintenance of cutting‑edge derivative pricing models and volatility modelling tools used across our global commodities trading business. The ideal candidate will have a strong background in quantitative finance, robust software development skills in both C++ and Python, and prior experience working on derivatives pricing models. Experience in commodities is preferred, with particular interest in candidates who have worked on gas and power products, energy derivatives, volatility modelling, or complex physical/financial commodity products. Candidates from FX, equities, rates or other asset classes with strong derivatives pricing and volatility modelling experience will also be considered.

Given the nature of the role, we are especially interested in candidates who can combine strong modelling intuition with hands‑on implementation skills, including the ability to develop and support pricing models and analytics library in production.

Key Responsibilities
  • Develop, implement, and maintain pricing and risk models for a wide range of commodities derivatives.
  • Work on pricing models for commodities products, with potential focus areas including power, gas, spread options, storage, structured products, and other non‑standard commodity derivatives.
  • Design and build scalable model pricing code and quantitative software platforms that support risk analytics and trading needs.
  • Work closely with traders, structurers, and risk managers to deliver high‑performance analytics and model‑driven tools.
  • Write high‑quality production code in C++ and Python, and contribute to the ongoing modernization of the analytics infrastructure.
  • Write comprehensive model documentation to support internal governance and regulatory requirements.
  • Collaborate with model validation and risk control teams throughout the model approval lifecycle.
  • Support day‑to‑day analytics needs and participate in the continuous improvement of the platform.
Qualifications
  • Advanced degree (MSc/PhD) in a quantitative discipline such as Mathematics, Physics, Computer Science, Financial Engineering, or related quantitative field.
  • Experience in a quantitative analytics or quantitative development role within a financial institution or a relevant industry.
  • Strong experience in pricing and modelling derivatives, preferably in commodities, but FX, equities, or other complex products also considered.
  • Solid knowledge of volatility modelling techniques and derivative pricing theory.
  • Proficiency in C++ and Python for numerical computing and model development.
  • Knowledge of working within a structured software development environment. Use of source code control systems, continuous integration environments, testing, release processes, etc.
  • Excellent problem‑solving skills, attention to detail, and strong communication abilities.
  • Experience with model documentation and familiarity with model validation processes is a strong plus.
Preferred Skills
  • Exposure to commodities markets (including, but not limited to power markets, gas and power products, power options, structured power products, heat‑rate products, storage, transmission, weather‑linked products, or other energy derivatives).
  • Familiarity with Monte Carlo methods, PDE solvers, and volatility calibration techniques.
Shift

1st shift (United States of America)

Hours Per Week

40

Pay Transparency details

Pay range: US $100,000.00 - $300,000.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible. This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits: This role is currently benefits eligible. We provide industry‑leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

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About Bank Of America

Sourced by ZipRecruiter

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1998

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