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Flexible Data Risk Analyst Jobs in Texas (NOW HIRING)

Expand Energy

Quantitative Risk Analyst

Spring, TX · On-site

Job Summary We are seeking a Quantitative Risk Analyst to develop, enhance, and govern quantitative ... Work with ETRM/CTRM systems and market data infrastructure to ensure robust integration of curves ...

Expand Energy

Quantitative Risk Analyst

Spring, TX · On-site

Job Summary We are seeking a Quantitative Risk Analyst to develop, enhance, and govern quantitative ... Work with ETRM/CTRM systems and market data infrastructure to ensure robust integration of curves ...

Braviant Holdings

Senior Fraud Risk Analyst

Dallas, TX · On-site

Senior Data Scientist Function: Credit Risk Reports to: Head of Credit Level: Mid-Level / Senior ... Analyze application and early performance data to identify fraud patterns, including synthetic ...

Braviant Holdings

Senior Fraud Risk Analyst

Dallas, TX · On-site

Senior Data Scientist Function: Credit Risk Reports to: Head of Credit Level: Mid-Level / Senior ... Analyze application and early performance data to identify fraud patterns, including synthetic ...

Acrisure

Insurance and Risk Analyst

Dallas, TX · On-site

$80K - $100K/yr

Analyze and interpret data related to insurance claims, loss trends, market trends, and other ... Health Savings Account (HSA) and Flexible Spending Account (FSA) options; commuter benefits; and ...

Crunchyroll, LLC

Sr Risk Analyst

Dallas, TX · Hybrid

You are data driven and have a strong attention to detail * You have the ability to communicate ... Flexible time off policies allowing you to take the time you need to be your whole self. * Generous ...

Braviant Holdings

Senior Fraud Risk Analyst

Dallas, TX · On-site

$80 - $100/hr

Analyze application and early performance data to identify fraud patterns, including synthetic ... Distinguish fraud risk vs credit risk, improving approval quality and reducing early loss.

Acrisure

Insurance and Risk Analyst

Dallas, TX · On-site

$80K - $100K/yr

Analyze and interpret data related to insurance claims, loss trends, market trends, and other ... Health Savings Account (HSA) and Flexible Spending Account (FSA) options; commuter benefits; and ...

Braviant Holdings

Senior Credit Risk Analyst

Dallas, TX · On-site

Strong experience with Python for data analysis and modeling * Working knowledge of credit risk concepts: scorecards, vintage analysis, delinquency curves, loss forecasting * Ability to communicate ...

Crunchyroll, LLC

Sr Risk Analyst

Dallas, TX · On-site

You are data driven and have a strong attention to detail * You have the ability to communicate ... Flexible time off policies allowing you to take the time you need to be your whole self. * Generous ...

Charles Schwab

Sr. Manager Data Management

Austin, TX · On-site

Experience identifying, analyzing, and mitigating data risk, particularly related to data integrity, quality, security, and privacy, with a pragmatic approach to balancing risk and business outcomes.

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Flexible Data Risk Analyst information

What is a flexible data risk analyst?

A Flexible Data Risk Analyst is a professional who evaluates and manages risks associated with data within an organization, while adapting to diverse projects and shifting business needs. They identify vulnerabilities, assess data processes, and recommend controls to mitigate risks related to data privacy, security, and compliance. The 'flexible' aspect refers to their ability to work across different teams, handle varying types of data, and respond to changing regulatory or business environments. Their work helps ensure that data is used responsibly and protected from threats or breaches.

How does a flexible data risk analyst typically collaborate with other departments to identify and mitigate data-related risks?

As a Flexible Data Risk Analyst, you will frequently work cross-functionally with IT, compliance, and business operations teams to ensure data security and regulatory compliance. Collaboration often involves participating in regular meetings, conducting risk assessments, and sharing findings or recommendations with stakeholders. This role requires strong communication skills to translate technical risks into actionable business insights, and adaptability to address a range of data environments or evolving project needs. Your input helps guide organizational policies and improve data governance processes.

What are the key skills and qualifications needed to thrive as a flexible data risk analyst, and why are they important?

To thrive as a Flexible Data Risk Analyst, you need strong analytical skills, a solid understanding of data governance, and relevant academic qualifications such as a degree in data science, statistics, or a related field. Familiarity with risk assessment tools, data analytics platforms (such as SQL, Python, R), and compliance frameworks like GDPR or HIPAA is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating complex data risk issues to stakeholders. These skills are essential to accurately identify, assess, and mitigate data risks, ensuring organizational data integrity and regulatory compliance.

What is the difference between Flexible Data Risk Analyst vs Data Analyst?

AspectFlexible Data Risk AnalystData Analyst
Required CredentialsTypically requires certifications like CRISC, CISA, or related risk management credentialsOften requires a degree in data science, statistics, or related fields; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentFocuses on risk assessment, compliance, and data security within organizationsAnalyzes data sets to identify trends, create reports, and support decision-making
Employer & Industry UsageUsed in finance, healthcare, and IT sectors emphasizing data security and risk managementWidely used across industries for business intelligence, marketing, and operations

The Flexible Data Risk Analyst primarily concentrates on managing data security risks and compliance, requiring specialized risk management certifications. In contrast, a Data Analyst focuses on interpreting data to inform business decisions, often with a background in data analysis tools and techniques. Both roles are essential in data-driven organizations but serve different core functions.

What are the most commonly searched types of Data Risk Analyst jobs in Texas?

The most popular types of Data Risk Analyst jobs in Texas are:

What cities in Texas are hiring for Flexible Data Risk Analyst jobs?

Cities in Texas with the most Flexible Data Risk Analyst job openings:

Flexible Data Risk Analyst jobs near you

Quantitative Risk Analyst

Expand Energy

Spring, TX • On-site

Full-time

Re-posted 4 days ago

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 Analyst 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.

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
Technical 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.

Education
  • Bachelor's degree from an accredited University required in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, Applied Economics or related.
  • Master's degree or PhD preferred in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics, Finance, Applied Economics or related.

Experience
  • Experience in quantitative risk, quantitative analytics, structuring, valuation, or model development in a Master's or PhD program focusing on commodity trading, energy trading, merchant energy, utility trading, hedge fund, or investment banking environment.
  • Demonstrated hands-on experience modeling optionality of complex and / or dynamical systems.

Preferred Experience / Strong Pluses
  • Understanding of both physical and financial commodity markets, including forwards, swaps, options, structured transactions, and asset-backed exposures a plus.
  • 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.
  • 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.

Additional Qualifications
Core Competencies
  • Ability to do independent research and apply theoretical techniques to real world problems.
  • 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.

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.

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