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Quantitative Finance Jobs in Spring, TX (NOW HIRING)

Job Summary We are seeking a Quantitative Risk Analyst to develop, enhance, and govern quantitative ... and financial transactions in a commodity trading business. The role will partner closely with ...

Job Summary We are seeking a Quantitative Risk Analyst to develop, enhance, and govern quantitative ... and financial transactions in a commodity trading business. The role will partner closely with ...

... and financial transactions in a commodity trading business. The role will partner closely with ... Job Duties & Responsibilities 1) Quantitative Modeling, Valuation, and Analytics * Develop and ...

... and financial transactions in a commodity trading business. The role will partner closely with ... Job Duties & Responsibilities 1) Quantitative Modeling, Valuation, and Analytics * Develop and ...

Master's or PhD degree in Applied Mathematics, Statistics, Financial Engineering, Operations Research, Economics, Physics, Engineering, Computer Science, or a related quantitative discipline.

Master's or PhD degree in Applied Mathematics, Statistics, Financial Engineering, Operations Research, Economics, Physics, Engineering, Computer Science, or a related quantitative discipline.

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Quantitative Finance information

See Spring, TX salary details

$27.6K

$80.6K

$129.9K

How much do quantitative finance jobs pay per year?

As of Aug 16, 2026, the average yearly pay for quantitative finance in Spring, TX is $80,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $105,900.00 per year, depending on experience, location, and employer.

What is quantitative finance?

Quantitative finance is a field that uses mathematical models, statistics, and computational techniques to analyze financial markets and securities. Professionals in this area, known as 'quants,' develop algorithms and models to price assets, manage risk, and optimize investment strategies. Quantitative finance plays a critical role in investment banks, hedge funds, asset management firms, and financial technology companies. The field requires strong skills in mathematics, programming, and finance.

What are the key skills and qualifications needed to thrive in quantitative finance?

To thrive in Quantitative Finance, you need strong mathematical, statistical, and analytical skills, typically supported by an advanced degree in mathematics, finance, engineering, or a related field. Proficiency with programming languages like Python, R, or C++, as well as experience with financial modeling and platforms such as MATLAB or Bloomberg Terminal, is highly valued. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for collaborating on complex financial projects. These skills enable professionals to develop and implement sophisticated models that drive informed investment decisions and risk management in high-stakes financial environments.

What is the difference between Quantitative Finance vs Quantitative Analysis?

AspectQuantitative FinanceQuantitative Analysis
Required CredentialsDegree in Finance, Mathematics, or related fields; often CFA or FRM certificationsDegree in Mathematics, Statistics, or Finance; certifications like CFA are common
Work EnvironmentFinancial institutions, hedge funds, investment banksAsset management firms, banks, trading desks
Employer & Industry UsageFocuses on developing trading strategies, risk management, and financial modelingAnalyzes data to inform trading decisions, risk assessment, and investment strategies

Quantitative Finance and Quantitative Analysis share overlapping skills and credentials, but Quantitative Finance emphasizes developing financial models and trading strategies, while Quantitative Analysis focuses on data analysis to support investment decisions. Both roles are vital in finance but serve different primary functions.

What are some common challenges faced by professionals in quantitative finance roles, and how can they be addressed?

Professionals in quantitative finance often encounter challenges such as managing large and complex data sets, staying updated with rapidly evolving financial models, and ensuring accurate risk assessment in volatile markets. Collaboration with technology and trading teams is crucial to develop robust algorithms and implement models effectively. Continuous learning and adaptability are key, as the field demands keeping pace with new programming languages, statistical methods, and regulatory changes.

What are popular job titles related to Quantitative Finance jobs in Spring, TX?

For Quantitative Finance jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Quantitative Finance jobs in Spring, TX look for?

The top searched job categories for Quantitative Finance jobs in Spring, TX are:

What cities near Spring, TX are hiring for Quantitative Finance jobs?

Cities near Spring, TX with the most Quantitative Finance job openings:

Infographic showing various Quantitative Finance job openings in Spring, TX as of August 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $80,606 per year, or $38.8 per hour.

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

Bank of America

Houston, TX • On-site

$100 - $300/hr

Other

PTO

Re-posted yesterday


Bank Of America rating

8.2

Company rating: 8.2 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

51st of 171 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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