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Quantitative Risk Manager Jobs in Houston, TX (NOW HIRING)

Conduit Services LLC

Market Risk Associate

Houston, TX · On-site

... Management Committee (RMC), including the summary dashboard, Forward Simulation Analysis and Value-at-Risk (VaR). * Maintain the day-ahead / real-time (DAM/RT) quantitative limit model and market ...

Optimus

Natural Gas Trader, Northeast

Houston, TX · On-site

Partner with Commercial, Risk, and Operations teams to optimize asset utilization, manage market ... Strong understanding of physical natural gas markets, derivatives, quantitative risk metrics ...

Conduit Power, LLC

Market Risk Associate

Houston, TX · On-site

$90 - $130/hr

... Management Committee (RMC), including the summary dashboard, Forward Simulation Analysis and Value-at-Risk (VaR). * Maintain the day-ahead / real-time (DAM/RT) quantitative limit model and market ...

Worley

Senior Risk Analyst

Houston, TX · On-site

Specialist knowledge in Risk Management software (i.e., MCS software) and experienced with quantitative cost & schedule risk analysis. * Demonstrable involvement / history in the relevant project ...

IPL (Indiana)

Sr Analyst, Credit Risk

Houston, TX · On-site

The role supports prudent risk management by performing financial and quantitative credit analysis, assessing counterparty exposure, monitoring collateral, and developing reporting and analytical ...

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All JobsQuantitative Risk JobsQuantitative Risk Manager JobsQuantitative Risk Manager Jobs in Houston, TX

Quantitative Risk Manager information

See Houston, TX salary details

$49.2K

$106.5K

$162.3K

How much do quantitative risk manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for quantitative risk manager in Houston, TX is $106,483.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $123,100.00 per year, depending on experience, location, and employer.

What is a quantitative risk manager?

A Quantitative Risk Manager is a professional who uses mathematical models, statistical analysis, and quantitative techniques to identify, measure, and manage financial risks within an organization. They often work in banks, investment firms, or insurance companies to analyze market, credit, and operational risks. Their responsibilities include developing risk models, monitoring risk exposures, and advising senior management on risk mitigation strategies. They play a key role in ensuring that organizations make informed decisions and comply with regulatory requirements.

How does a quantitative risk manager typically collaborate with other departments within a financial institution?

Quantitative Risk Managers work closely with teams such as trading, compliance, IT, and senior management to identify, measure, and mitigate financial risks. They often translate complex quantitative models into actionable insights for non-technical stakeholders and facilitate the integration of risk metrics into daily decision-making processes. Collaboration is essential for ensuring that risk assessments align with business objectives and regulatory requirements, often requiring regular cross-functional meetings and clear communication.

What are the key skills and qualifications needed to thrive as a quantitative risk manager, and why are they important?

To thrive as a Quantitative Risk Manager, you need strong analytical abilities, a deep understanding of statistics and financial mathematics, and typically an advanced degree in finance, mathematics, or a related field. Proficiency in programming languages like Python or R, experience with risk modeling software, and certifications such as FRM or CFA are highly valuable. Exceptional problem-solving, communication, and collaboration skills help you convey complex risk metrics to stakeholders and work effectively in cross-functional teams. These skills ensure accurate risk assessments, regulatory compliance, and informed decision-making in dynamic financial environments.

What is the difference between Quantitative Risk Manager vs Quantitative Analyst?

AspectQuantitative Risk ManagerQuantitative Analyst
Primary FocusAssessing and managing risk exposure across financial portfoliosDeveloping models and algorithms for investment strategies
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; certifications like FRM or CFADegrees in finance, mathematics, or statistics; often pursuing CFA or similar
Work EnvironmentFinancial institutions, risk management departmentsInvestment firms, hedge funds, banks
Key SkillsRisk assessment, regulatory knowledge, quantitative modelingData analysis, programming, financial modeling

While both roles involve quantitative skills and financial knowledge, Quantitative Risk Managers focus on identifying and mitigating risks within organizations, whereas Quantitative Analysts primarily develop models to inform investment decisions. Understanding these differences helps professionals choose the right career path or job search focus.

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

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

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

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

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

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

Quantitative Risk Manager jobs near you
Infographic showing various Quantitative Risk Manager job openings in Houston, TX as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $106,533 per year, or $51.2 per hour.

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

Bank of America

Houston, TX • On-site

Full-time

PTO

Re-posted 24 days ago

Key responsibilities

  • Develop, implement, and maintain pricing and risk models for a wide range of commodities derivatives.

  • Design and build scalable model pricing code and quantitative software platforms that support risk analytics and trading needs.

  • Write high-quality production code in C++ and Python, and collaborate with model validation and risk control teams throughout the model approval lifecycle.

Bank Of America rating

8.3

Company rating: 8.3 out of 10

Based on 537 frontline employees who took The Breakroom Quiz

49th of 175 rated banks

Job description

Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
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.

Hours Per Week:
40
Travel Required:
Yes, 5% of the time
Pay Transparency details
US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100)
Pay and benefits information
Pay range
$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.

What Bank Of America employees say

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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

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