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Associate Quantitative Risk Analyst Jobs in Houston, TX

Support valuation and risk assessment of long-term LNG contracts, spot transactions, shipping ... Collaborate closely with quantitative analysts, technology teams, and data engineers to develop ...

Support valuation and risk assessment of long-term LNG contracts, spot transactions, shipping ... Collaborate closely with quantitative analysts, technology teams, and data engineers to develop ...

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Associate Quantitative Risk Analyst information

See Houston, TX salary details

$14

$38

$62

How much do associate quantitative risk analyst jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for associate quantitative risk analyst in Houston, TX is $38.66, according to ZipRecruiter salary data. Most workers in this role earn between $28.46 and $47.07 per hour, depending on experience, location, and employer.

What are some common challenges faced by associate quantitative risk analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

What is the difference between Associate Quantitative Risk Analyst vs Credit Risk Analyst?

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

What is an associate quantitative risk analyst?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

What are the key skills and qualifications needed to thrive as an associate quantitative risk analyst?

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.

What are popular job titles related to Associate Quantitative Risk Analyst jobs in Houston, TX?

For Associate Quantitative Risk Analyst jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Associate Quantitative Risk Analyst jobs in Houston, TX look for?

The top searched job categories for Associate Quantitative Risk Analyst jobs in Houston, TX are:

What cities near Houston, TX are hiring for Associate Quantitative Risk Analyst jobs?

Cities near Houston, TX with the most Associate Quantitative Risk Analyst job openings:

Infographic showing various Associate Quantitative Risk Analyst job openings in Houston, TX as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $80,418 per year, or $38.7 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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