1

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

... Risk Manager any breach of risk limits. * Review, analyze, interpret, and provide daily risk ... Model behaviors that support the company's common purpose; ensure guests and team members are ...

... Risk Manager any breach of risk limits. * Review, analyze, interpret, and provide daily risk ... Model behaviors that support the company's common purpose; ensure guests and team members are ...

... Risk Manager any breach of risk limits. * Review, analyze, interpret, and provide daily risk ... Model behaviors that support the company's common purpose; ensure guests and team members are ...

... Risk Manager any breach of risk limits. * Review, analyze, interpret, and provide daily risk ... Model behaviors that support the company's common purpose; ensure guests and team members are ...

Support and provide model development for pricing, valuation, and risk metrics using historical and forecast market data. * Manage enhancements, configurations, and user support for the PCI ETRM ...

next page

Showing results 1-20

Model Risk Manager information

See Houston, TX salary details

$49.2K

$106.5K

$162.3K

How much do model risk manager jobs pay per year?

As of Jul 13, 2026, the average yearly pay for model risk manager in Houston, TX is $106,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $123,200.00 per year, depending on experience, location, and employer.

What are some common challenges a Model Risk Manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

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

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What are the key skills and qualifications needed to thrive as a Model Risk Manager, and why are they important?

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What does a Model Risk Manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.
What are popular job titles related to Model Risk Manager jobs in Houston, TX? For Model Risk Manager jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Houston, TX look for? The top searched job categories for Model Risk Manager jobs in Houston, TX are:
What cities near Houston, TX are hiring for Model Risk Manager jobs? Cities near Houston, TX with the most Model Risk Manager job openings:

Full-time

Posted 12 days ago


Job description

Lead Analyst, Risk
Department: Middle Office
Employment Type: Full Time
Location: US TX Houston - Corporate Office
Description
About Us:
The Caturus platform founded by Kimmeridge - an alternative asset manager focused on the energy sector - supports Kimmeridge's overarching goal of providing low-cost energy on demand with the lowest carbon footprint.
Kimmeridge's vision in creating Caturus is to build the only independent, fully integrated natural gas and LNG export platform in the U.S. through a combination of its upstream operations and via Commonwealth LNG, a 9.5 million tonnes per annum liquefied natural gas export terminal in southwestern Louisiana on the U.S. Gulf Coast. The combined entities are committed to delivering responsibly sourced, low-emission fuel to domestic and international markets.
Caturus is a Houston-based, private exploration and production company seeking to materially grow production through development of deep, high pressure, dry gas windows of the Eagle Ford and Austin Chalk, as well as Haynesville formations located in Texas and Louisiana while maintaining a relentless focus on safety.
Commonwealth LNG was founded by industry veterans who decided to re-engineer the LNG construction model. Using proven best practices, Commonwealth is committed to building a world-class LNG export facility while focusing on safety, managing risk and achieving best-in-class environmental standards.
Job Description
The Lead Analyst, Risk will focus on monitoring market risk exposures, maintaining market risk reporting frameworks, and supporting the identification and mitigation of risks across the organization. The position will partner closely with Trading, Middle Office, Project Controls, Finance and other teams to deliver data-driven insights that support sound decision-making.
Key Accountabilities:
  • Monitor market, risk exposures across natural gas, LNG, and related energy markets
  • Perform sensitivity, scenario, and stress analysis to evaluate potential impacts on portfolio performance
  • Assist in identifying emerging risks and flagging issues to the Risk Manager
  • Support monitoring of trading positions, exposure limits, and key risk metrics (e.g. VaR, variance analysis, exposure tracking)
  • Assist in evaluating hedging strategies and structured transactions alongside Trading and Origination teams
  • Analyze market trends, pricing data, and supply/demand fundamentals to provide risk insights
  • Works with IT, Back Office, Credit, Traders and Schedulers to resolve issues that arise from time to time
  • Prepare regular risk reports, dashboards, and ad hoc analysis for leadership
  • Support risk control processes related to trade capture, valuation, and reporting
  • Assist with reconciliations and data validation to ensure accuracy and completeness

Qualifications:
Education, Certificates, and Licenses:
  • Bachelor's degree in Finance, Economics, Engineering, Mathematics, or a related field required

Experience:
  • 5+ years of experience in risk, middle office, trading support, financial analysis, or project controls
  • Exposure to natural gas, LNG, or commodities markets such as Oil and NGLs preferred
  • Experience working in trading, as structuring or quantitative analysis experience in energy or financial markets. Energy or commodity industry experience strongly preferred
  • Experience in Monte-Carlo simulations and volatility/correlation estimations, handling extensive data/database, and working knowledge of SQL, Python and VBA preferred.

Knowledge, Skills, and Abilities:
  • Strong theoretical orientation, ability to apply understanding of abstract theory in a focused, practical manner to develop and implement effective solutions to real world problems. Must also be a team player, comfortable with multitasking and responding rapidly to frequent changes
  • Strong analytical and quantitative skills with attention to detail
  • Strong knowledge of trading concepts (P&L, exposures, mark-to-market)
  • Proficiency in Excel and experience working with large datasets
  • Ability to interpret data and translate findings into actionable insights
  • Strong organizational skills with the ability to manage multiple priorities
  • Knowledge of OpenLink or similar ETRM software packages
  • Good understanding of internal controls
  • Effective communication skills with the ability to collaborate across teams