Preparing for your next Quant Interview?
Practice Here!

Senior Quantitative Trader: DA and Congestion

Habitat Energy
Senior Quantitative Trader: DA and Congestion
Texas, US
Apply Now
Job Description

Habitat Energy is a fast growing technology company focussed on the trading and algorithmic optimisation of energy storage and renewable assets around the world. Our mission is to deliver outstanding returns to our clients to increase the attractiveness of renewable energy globally and support the transition to a clean energy future. Our rapidly growing team of 85 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 Senior Quantitative Trader: DA and Congestion to join our US team based in Austin, Texas. This role will predominantly be based on-site in our Austin office.

You will be responsible for:

  • Leading DA commercial model development and decision-making for grid-scale storage resources.

  • Executing DA process on behalf of several client portfolios and ensuring understanding with our team of RT traders.

  • Developing strategies for managing portfolios of energy storage, wind, and solar assets within ERCOT and other wholesale power markets with specific focus on transmission congestion impact.

  • Supporting the development of new internal products by working with Habitat’s team of data scientists and software engineers to define performance metrics, market rules, and commercial strategies.

  • Communicating portfolio management strategies to clients and tuning internal tools to client risk parameters.

‘Must have’ skills and experience:

  • At least 2 years of experience trading virtual and/or asset-backed positions in at least one major US Power Market (ideally ERCOT)

  • Experience building and maintaining models for trading and/or risk management in power markets with specific experience with point-to-points, FTRs/CRRs, or other congestion-related products

  • Proficient in Excel & Python and comfort managing large datasets

  • Demonstrated passion for trading and the US Power markets

  • Deep understanding of finance, mathematics, and statistics

  • Attention to detail and comfort making sound judgments under pressure

  • Ability to work in a fast-paced and highly collaborative environment

‘Nice to have’ skills and experience

  • Experience managing energy storage resources

  • Experience structuring products related to carbon offset, long-term financing of renewables or energy storage assets

  • Familiarity with Financial Derivatives, Options Greeks, Market Making & Market Microstructure

  • Experience and confidence presenting to clients, board members and prospective clients.

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 in our candidate privacy policy here.

Share this job
Share On
Apply Now