Market Risk Manager
Spring, TX · On-site
Practical use of AI-enabled tools to accelerate coding, research, workflow automation, data ... traders, risk managers, finance, and executives * High standards for accuracy, transparency ...
Market Risk Manager
Spring, TX · On-site
Practical use of AI-enabled tools to accelerate coding, research, workflow automation, data ... traders, risk managers, finance, and executives * High standards for accuracy, transparency ...
... management, and/or emerging technology risk domains such as AI * Relevant cybersecurity ... certifications such as CISSP, CISA, or similar; familiarity with AI governance frameworks is a plus ...
... management, and/or emerging technology risk domains such as AI * Relevant cybersecurity ... certifications such as CISSP, CISA, or similar; familiarity with AI governance frameworks is a plus ...
... management, and/or emerging technology risk domains such as AI * Relevant cybersecurity ... certifications such as CISSP, CISA, or similar; familiarity with AI governance frameworks is a plus ...
... management, and/or emerging technology risk domains such as AI * Relevant cybersecurity ... certifications such as CISSP, CISA, or similar; familiarity with AI governance frameworks is a plus ...
Sr AI & Technology Auditor
Houston, TX · On-site
$97K - $127K/yr
... T risk management, or data science. • Minimum 2+ years of direct experience auditing or governing AI/Machine Learning environments. • In-depth knowledge of IT general controls (ITGC), NIST AI ...
Sr AI & Technology Auditor
Houston, TX · On-site
$97K - $127K/yr
... T risk management, or data science. • Minimum 2+ years of direct experience auditing or governing AI/Machine Learning environments. • In-depth knowledge of IT general controls (ITGC), NIST AI ...
AI Security Engineer
Houston, TX · On-site
Familiarity with AI governance frameworks such as the NIST AI Risk Management Framework or the OWASP Top 10 for LLMs. * Professional background from large technology companies or AI-focused ...
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AI Security Engineer
Houston, TX · On-site
Familiarity with AI governance frameworks such as the NIST AI Risk Management Framework or the OWASP Top 10 for LLMs. * Professional background from large technology companies or AI-focused ...
Project Manager - AI Product
Houston, TX · On-site
... risk mitigation and operational controls Drive continuous improvement initiatives related to AI operationalization, automation, and enterprise rollout processes Sincerely, Sr. Manager nFolks Data ...
Project Manager - AI Product
Houston, TX · On-site
... risk mitigation and operational controls Drive continuous improvement initiatives related to AI operationalization, automation, and enterprise rollout processes Sincerely, Sr. Manager nFolks Data ...
Risk Manager II - AMZ10108334
Austin, TX · On-site
$78K - $129K/yr
Risk Manager II Job Location: Austin, Texas Job Number: AMZ10108334 Position Responsibilities ... AI and Retrieval Augmented Generation (RAG) solutions to automate compliance mapping; building ...
Risk Manager II - AMZ10108334
Austin, TX · On-site
$78K - $129K/yr
Risk Manager II Job Location: Austin, Texas Job Number: AMZ10108334 Position Responsibilities ... AI and Retrieval Augmented Generation (RAG) solutions to automate compliance mapping; building ...
Director - AI Infrastructure
Houston, TX · On-site
Governance & Risk Awareness: Working knowledge of Responsible AI, AI risk management, regulatory frameworks, and compliance standards such as SOC 2 and ISO 27001. * Financial & Vendor Acumen:
Director - AI Infrastructure
Houston, TX · On-site
Governance & Risk Awareness: Working knowledge of Responsible AI, AI risk management, regulatory frameworks, and compliance standards such as SOC 2 and ISO 27001. * Financial & Vendor Acumen:
Security Director (Governance, Risk & Compliance)
Austin, TX · On-site
$95K/yr
Establish a security governance framework for Artificial Intelligence based on the NIST AI Risk Management Framework. * Manage the security responsibility matrix and advise DIR clients on risk ...
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Security Director (Governance, Risk & Compliance)
Austin, TX · On-site
$95K/yr
Establish a security governance framework for Artificial Intelligence based on the NIST AI Risk Management Framework. * Manage the security responsibility matrix and advise DIR clients on risk ...
Position Information Hiring Manager: Associate Director Department: Operational Risk Management ... Demonstrated ability to effectively leverage AI tools in day-to-day work, with strong critical ...
Position Information Hiring Manager: Associate Director Department: Operational Risk Management ... Demonstrated ability to effectively leverage AI tools in day-to-day work, with strong critical ...
Quantitative Risk Manager
Spring, TX · On-site
Practical use of AI-enabled tools to accelerate coding, research, workflow automation, data ... traders, risk managers, finance, and executives. * High standards for accuracy, transparency ...
Quantitative Risk Manager
Spring, TX · On-site
Practical use of AI-enabled tools to accelerate coding, research, workflow automation, data ... traders, risk managers, finance, and executives. * High standards for accuracy, transparency ...
AI Product Manager
$116K - $182K/yr
AI Governance, Responsible AI & Risk Management * Ensure AI products align to responsible AI principles and enterprise expectations for compliance, security, and privacy. * Contribute to governance ...
AI Product Manager
$116K - $182K/yr
AI Governance, Responsible AI & Risk Management * Ensure AI products align to responsible AI principles and enterprise expectations for compliance, security, and privacy. * Contribute to governance ...
AI Product Manager
Spring, TX · On-site
$116K - $182K/yr
AI Governance, Responsible AI & Risk Management * Ensure AI products align to responsible AI principles and enterprise expectations for compliance, security, and privacy. * Contribute to governance ...
AI Product Manager
Spring, TX · On-site
$116K - $182K/yr
AI Governance, Responsible AI & Risk Management * Ensure AI products align to responsible AI principles and enterprise expectations for compliance, security, and privacy. * Contribute to governance ...
You will also mentor, train, and coach senior consultants and managers as you build the next generation of AI security practitioners in the practice. * Lead Security of AI engagements - AI risk ...
You will also mentor, train, and coach senior consultants and managers as you build the next generation of AI security practitioners in the practice. * Lead Security of AI engagements - AI risk ...
You will also mentor, train, and coach senior consultants and managers as you build the next generation of AI security practitioners in the practice. * Lead Security of AI engagements - AI risk ...
You will also mentor, train, and coach senior consultants and managers as you build the next generation of AI security practitioners in the practice. * Lead Security of AI engagements - AI risk ...
Quantitative Risk Manager
Spring, TX · On-site
Practical use of AI-enabled tools to accelerate coding, research, workflow automation, data ... traders, risk managers, finance, and executives. * High standards for accuracy, transparency ...
Quantitative Risk Manager
Spring, TX · On-site
Practical use of AI-enabled tools to accelerate coding, research, workflow automation, data ... traders, risk managers, finance, and executives. * High standards for accuracy, transparency ...
You will also mentor, train, and coach senior consultants and managers as you build the next generation of AI security practitioners in the practice. * Lead Security of AI engagements - AI risk ...
You will also mentor, train, and coach senior consultants and managers as you build the next generation of AI security practitioners in the practice. * Lead Security of AI engagements - AI risk ...
You will also mentor, train, and coach senior consultants and managers as you build the next generation of AI security practitioners in the practice. * Lead Security of AI engagements - AI risk ...
You will also mentor, train, and coach senior consultants and managers as you build the next generation of AI security practitioners in the practice. * Lead Security of AI engagements - AI risk ...
You will also mentor, train, and coach senior consultants and managers as you build the next generation of AI security practitioners in the practice. * Lead Security of AI engagements - AI risk ...
You will also mentor, train, and coach senior consultants and managers as you build the next generation of AI security practitioners in the practice. * Lead Security of AI engagements - AI risk ...
You will also mentor, train, and coach senior consultants and managers as you build the next generation of AI security practitioners in the practice. * Lead Security of AI engagements - AI risk ...
You will also mentor, train, and coach senior consultants and managers as you build the next generation of AI security practitioners in the practice. * Lead Security of AI engagements - AI risk ...
Ai Risk Manager information
What is the difference between Ai Risk Manager vs Data Scientist?
| Aspect | Ai Risk Manager | Data Scientist |
|---|---|---|
| Required Credentials | Typically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are common | Requires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common |
| Work Environment | Works in financial, insurance, or tech industries focusing on AI risk assessment and mitigation | Works across industries analyzing data, building models, and deriving insights |
| Employer & Industry Usage | Used by organizations managing AI deployment risks, especially in regulated sectors | Used by companies developing AI solutions, data-driven products, and analytics teams |
The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.
What are popular job titles related to Ai Risk Manager jobs in Texas? For Ai Risk Manager jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Ai Risk Manager jobs in Texas look for? The top searched job categories for Ai Risk Manager jobs in Texas are:
What cities in Texas are hiring for Ai Risk Manager jobs? Cities in Texas with the most Ai Risk Manager job openings:
Job description
Our core values - Stewardship, Character, Collaborate, Learn, Disrupt - are the lens through which we evaluate every business decision. As a dynamic, growing company that offers extremely competitive compensation and benefits, our employees are our most valued assets and the foundation of Expand's performance among our E&P competitors.
We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. We realize that, historically, underrepresented groups feel the need to be 100% qualified in order to apply. If you meet any combination of our requirements, we encourage you to apply. We strive to hire people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger.
Job Summary
We are seeking a Quantitative Risk Manager to develop, enhance, and govern quantitative models used to value, risk assess, and explain exposures across natural gas, LNG, power, and related structured/optional physical and financial transactions in a commodity trading business. The role will partner closely with trading, structuring, origination, middle office, risk, technology, and finance to deliver decision-quality analytics, robust model governance, and scalable reporting.
This role is designed for a candidate who combines cross-commodity quantitative rigor in their quantitative risk leadership with practical energy trading valuation and risk-control orientation.
Job Duties & Responsibilities
1) Quantitative Modeling, Valuation, and Analytics
2) Trading and Commercial Support
3) Risk Framework, Controls, and Governance
4) Systems, Data, and Automation
Job Specific Skills
Education
Minimum: Bachelor's degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, or Applied Economics or another quantitative discipline
Preferred: Advanced degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, or Applied Economics or another quantitative discipline
Preferred: PhD in Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, or Applied Economics or another quantitative discipline
Experience
Additional Qualifications
Expand Energy takes necessary action to ensure that all applicants are treated without regard to their race, color, religion, sex, sexual orientation, age, gender identity, national origin, genetic information, disability, pregnancy, military or veteran status or any other protected characteristic as established by law.
Expand Energy Corporation's operations are focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets onshore in the United States.
We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. We realize that, historically, underrepresented groups feel the need to be 100% qualified in order to apply. If you meet any combination of our requirements, we encourage you to apply. We strive to hire people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger.
Job Summary
We are seeking a Quantitative Risk Manager to develop, enhance, and govern quantitative models used to value, risk assess, and explain exposures across natural gas, LNG, power, and related structured/optional physical and financial transactions in a commodity trading business. The role will partner closely with trading, structuring, origination, middle office, risk, technology, and finance to deliver decision-quality analytics, robust model governance, and scalable reporting.
This role is designed for a candidate who combines cross-commodity quantitative rigor in their quantitative risk leadership with practical energy trading valuation and risk-control orientation.
Job Duties & Responsibilities
1) Quantitative Modeling, Valuation, and Analytics
- Develop and maintain quantitative models for valuation, exposure measurement, and risk assessment across physical and financial natural gas, LNG, and power portfolios
- Build and enhance models for optional and structured transactions, including storage, transport, tolling, heat-rate optionality, basis/spread structures, swing optionality, and other asset-backed or logistics-driven exposures
- Support mark-to-market, fair value, forward curve construction, volatility surfaces, scenario analysis, and P&L attribution for complex positions and portfolios
- Design and improve analytical frameworks for VaR, Expected Shortfall, stress testing, backtesting, component risk, sensitivity analysis, and scenario analysis
2) Trading and Commercial Support
- Partner directly with traders, originators, and structurers to evaluate transactions, challenge assumptions, explain model outputs, and support hedging and optimization decisions
- Translate market views, deal structures, and operational realities into actionable analytics that support commercial decisions across gas, LNG, and power
- Provide analysis of risk drivers, spread movements, optionality value, and changes in valuation or risk metrics to risk committees and senior leadership
3) Risk Framework, Controls, and Governance
- Strengthen the quantitative underpinnings of the firm's market risk framework, including model documentation, assumptions governance, testing standards, and auditability
- Lead or support model review, model validation readiness, model governance, and remediation of model limitations and control gaps
- Ensure analytics and reporting align with board-approved risk tolerances, internal policies, and evolving control requirements
4) Systems, Data, and Automation
- Build or enhance scalable analytics in Python and related tools to automate recurring calculations, improve transparency, and reduce manual risk processes
- Work with ETRM/CTRM systems and market data infrastructure to ensure robust integration of curves, positions, valuation logic, and risk outputs. Experience with systems such as Endur, Allegro, ZEMA, or comparable platforms is valuable
- Create reports, dashboards, and visualizations that communicate complex quantitative results clearly to both technical and non-technical stakeholders
Job Specific Skills
- Advanced Python skills for quantitative analytics, risk engines, data pipelines, and automated reporting; familiarity with pandas, NumPy, SciPy, and production-quality coding practices is expected
- Additional programming capability in one or more of SQL, C#, C++, VBA, or similar languages
- Strong understanding of probability, statistics, stochastic modeling, option pricing, numerical methods, Monte Carlo simulation, and time-series analysis
- Experience with data visualization and reporting tools and the ability to present quantitative insights clearly to senior stakeholders
- Practical use of AI-enabled tools to accelerate coding, research, workflow automation, data exploration, or insight generation, with appropriate controls for model risk, reproducibility, and governance
- Familiarity with Git/GitHub/GitLab, software lifecycle controls, and documentation standards is highly desirable
- Strong commercial judgment with the ability to connect quantitative outputs to real trading decisions
- Clear communicator who can explain complex model behavior, assumptions, and limitations to traders, risk managers, finance, and executives
- High standards for accuracy, transparency, governance, and documentation
- Comfortable operating in a fast-moving, front-office-adjacent trading environment where priorities evolve and analytics must be both rigorous and timely
Education
Minimum: Bachelor's degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, or Applied Economics or another quantitative discipline
Preferred: Advanced degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, or Applied Economics or another quantitative discipline
Preferred: PhD in Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, or Applied Economics or another quantitative discipline
Experience
- Strong experience in quantitative risk, quantitative analytics, structuring, valuation, or model development in a commodity trading, energy trading, merchant energy, utility trading, hedge fund, or investment banking environment.
- Demonstrated hands-on experience modeling, valuing, and risk assessing instruments and portfolios in natural gas, LNG, and power.
- Strong understanding of both physical and financial commodity markets, including forwards, swaps, options, structured transactions, and asset-backed exposures.
- Experience with market risk metrics, including VaR/GMaR/EaR/stress/scenario frameworks, and the ability to explain risk in a trading context rather than only from a theoretical perspective.
- Experience in asset-backed trading, including storage, transport, generation, renewables, batteries, or tolling structures in North America gas markets.
- Proven success working cross-functionally with front office, risk, operations, finance, and technology teams.
Additional Qualifications
- Experience spanning both financial trading and physical energy trading, especially where the role bridged derivatives pricing with logistics, dispatch, storage, or LNG optionality
- Model validation, model governance, or formal model review experience
- Exposure to LNG portfolio modeling, shipping/scheduling optionality, or international gas/LNG valuation frameworks
- Experience supporting power market analytics such as nodal pricing, CRRs/FTRs, heat-rate modeling, dispatch logic, congestion analysis, or ISO/RTO market behavior
- Ability to mentor junior analysts and influence standards for quantitative methods across the organization
Expand Energy takes necessary action to ensure that all applicants are treated without regard to their race, color, religion, sex, sexual orientation, age, gender identity, national origin, genetic information, disability, pregnancy, military or veteran status or any other protected characteristic as established by law.
Expand Energy Corporation's operations are focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets onshore in the United States.
About Expand Energy
Sourced by ZipRecruiter
Company size
1,001 - 5,000 Employees
Headquarters location
Oklahoma City, OK, US