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Energy Trading Risk Management Jobs in Austin, TX

Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

... energy trading, data science, software engineering and renewable energy management. We have a vacancy for a Data Engineer to join our Austin based team. Your responsibilities will include:

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... energy trading, data science, software engineering and renewable energy management. We have a vacancy for a Data Engineer to join our Austin based team. Your responsibilities will include:

Develops and recommends optimum strategies to hedge transmission congestion risk. * Designs ... Experience analyzing trade P&L and trade strategies and forecasting Day-Ahead and Real-Time energy ...

Intraday market and credit risk management * Basic back office and site reliability monitoring * Communication and coordination with the larger global trading team Our ideal candidate is dependable ...

Intraday market and credit risk management * Basic back office and site reliability monitoring * Communication and coordination with the larger global trading team Our ideal candidate is dependable ...

Showing results 21-40

Energy Trading Risk Management information

See Austin, TX salary details

$22.3K

$117.2K

$208.2K

How much do energy trading risk management jobs pay per year?

As of Aug 5, 2026, the average yearly pay for energy trading risk management in Austin, TX is $117,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $143,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in energy trading risk management?

To thrive in Energy Trading Risk Management, you need strong analytical skills, a solid understanding of financial markets, and a background in finance, economics, or engineering, often supported by relevant degrees or certifications. Proficiency with risk management systems like Endur or Allegro, data analysis tools such as Excel, Python, and familiarity with regulatory compliance platforms is essential. Exceptional attention to detail, problem-solving abilities, and clear communication help professionals anticipate risks and collaborate effectively with trading teams. These skills ensure effective risk assessment, regulatory compliance, and optimal decision-making in a volatile energy market.

What is the difference between Energy Trading Risk Management vs Energy Trading Analyst?

AspectEnergy Trading Risk ManagementEnergy Trading Analyst
Primary FocusManaging and mitigating risks associated with energy trading activitiesAnalyzing market data to support trading decisions
CertificationsRisk management certifications (FRM, PRM) often preferredFinancial or energy market certifications (CFA, ETRM certifications) common
Work EnvironmentRisk departments within energy companies or trading firmsTrading floors, market analysis teams
Key ResponsibilitiesDevelop risk models, monitor exposures, implement hedging strategiesMarket research, data analysis, trade execution support

Energy Trading Risk Management professionals focus on identifying and reducing risks in energy trading, while Energy Trading Analysts analyze market data to inform trading strategies. Both roles require strong analytical skills, but risk managers emphasize risk mitigation techniques, whereas analysts focus on market insights.

What is energy trading risk management?

Energy trading risk management refers to the processes and strategies used by companies to identify, assess, and mitigate risks associated with buying and selling energy commodities like electricity, oil, and natural gas. This field involves analyzing market volatility, regulatory changes, credit risks, and operational risks to minimize financial losses. Professionals use various tools and financial instruments to hedge against price fluctuations and ensure the stability and profitability of energy trading operations. Effective risk management is vital for energy companies to navigate complex, fast-changing markets.

What are some common challenges faced in an energy trading risk management role?

Professionals in Energy Trading Risk Management often face challenges such as managing price volatility, ensuring regulatory compliance, and accurately assessing counterparty credit risk. The fast-paced nature of energy markets requires constant monitoring of market movements and rapid decision-making to mitigate potential losses. Additionally, effective collaboration with traders, analysts, and compliance teams is essential to ensure that risk controls are integrated throughout the trading process. Adapting to new market regulations and evolving technology platforms also keeps this role dynamic and requires continual learning.
What are popular job titles related to Energy Trading Risk Management jobs in Austin, TX? For Energy Trading Risk Management jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Energy Trading Risk Management jobs in Austin, TX look for? The top searched job categories for Energy Trading Risk Management jobs in Austin, TX are:
What cities near Austin, TX are hiring for Energy Trading Risk Management jobs? Cities near Austin, TX with the most Energy Trading Risk Management job openings:
Infographic showing various Energy Trading Risk Management job openings in Austin, TX as of July 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $117,219 per year, or $56.4 per hour.

$113K - $136K/yr

Full-time

Re-posted 11 days ago


Job description

Data Engineer

Habitat Energy is a fast growing technology company focussed on the physical and financial optimisation of energy storage and renewable generation assets globally through complex models and trading. By maximising the returns from these assets we aim to drive investment in renewable energy and accelerate the transition to a low carbon world. Our rapidly growing team of 130+ people in Austin, TX, Oxford, UK, and Melbourne, Australia brings together exceptionally talented and passionate people in the domains of energy trading, data science, software engineering and renewable energy management.

We have a vacancy for a Data Engineer to join our Austin based team.

Your responsibilities will include:

  • Supporting Data Engineering Infrastructure: 
    • Contribute to the design, development, implementation and continuous improvement of our data engineering tools, workflows, processes, and platforms. This includes enhancing the architectural foundations and integrating new data management technologies.
  • Writing Well-Structured Code: 
    • Develop clean, maintainable, well-documented code that adheres to best practices. Support best coding practices within Habitat's software, machine-learning, and data science teams.
  • Enhance data engineering knowledge: 
    • Improve expertise within the software team and ensure their ability to support and collaborate on the data infrastructure infrastructure.
  • Data Quality Management: 
    • Continuously enhance data quality across multiple dimensions such as accuracy, availability, performance, and accessibility to ensure a clear understanding of data within the company.
  • Providing backup/escalation to the tech-on-call team.
  • Communicating effectively across Software and Data Science teams.

Requirements

Preferred skills and experience:

  • 3+ years of Python experience.
  • 3+ years of working in technical teams, building data pipelines, delivering productionised code, building/maintaining live applications, developing tooling and improving backtesting frameworks.
  • Experience in applying relational database design.
  • Proficiency with Orchestration and IaC in AWS (e.g. Terraform, Kubernetes, RabbitMQ, Airflow, Prefect), Git, containerisation (Docker), database management (e.g. Postgres, Alembic).
  • Fluent in Python and its wider numerical ecosystem (e.g. Pandas, NumPy, Polars, Pydantic).

'Nice to have' skills and experience:

  • 2+ years of orchestrating machine learning workflows.
  • Experience with OSS data warehousing tooling and management.
  • Cloud infrastructure experience.
  • Experience with monitoring frameworks (e.g. Prometheus).
  • Experience archiving data to Parquet on S3 and creating tools for API/Grafana queries.
  • Experience centralising diverse datasets for analytics, visualisation and machine learning.
  • Familiarity with time-series forecasting and/or optimisation.
  • Experience with data visualisation and dashboards (e.g. Grafana, Superset).
  • Familiarity with machine learning and associated techniques (feature engineering, boosting methods, LightGBM).

Ultimately we are looking for someone who is a great fit for our company so we encourage you to apply even if you may not meet every requirement in this posting. We value diversity and our environment is supportive, challenging and focused on the consistent delivery of high quality, meaningful work.

In return, we'll give you a competitive salary, flexible working arrangements and a lot of personal development opportunities. We operate a hybrid working model with at least 2 days in our office in Austin.

When you apply for a job with us, we process some of your personal information. You can find out more about how we process your information on our company website: https://habitat.energy/privacy-policy/. 

Benefits