Quantitative Analyst

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 120 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 Quantitative Analyst to join our Commercial Analytics team based in Austin, Texas. This role will build and maintain pricing models for valuing structured products, hedges, assets, and portfolio management for liquid futures markets, binary options, and ISO traded products.

Your Responsibilities Will Include

Pricing & Structuring

• Simulation Frameworks: Design and maintain Monte Carlo and scenario-based simulation engines for DA/RT prices, ancillary services, and battery cycles.
• Exotic Derivatives: Build and maintain pricing models for structured products, bespoke energy derivatives (e.g., shape hedges, collars), and asset valuation.
• Term Structure Modeling: Calibrate models to market data (futures, options, swaps) across all tenors and seasonalities.
• Contract Translation: Collaborate with Origination to translate complex term sheets into model inputs, stress-testing payoffs under various forward-curve and volatility regimes.
  
  

Portfolio Management, Futures, Market Making

• Strategic Portfolio Optimization: Build quantitative models to manage risk across a diverse book, including Point-to-Point, DART, Exchange trading, and exotic derivatives.
• Futures Execution & Analysis: Develop systematic signals for trading ERCOT futures and managing the term structure of the portfolio.
• Delta-Gamma Management: Compute and manage aggregate exposures (VaR, ES, and Greeks) for a combined book of structured contracts and liquid instruments.
  
  

Preferred Skills And Experience

• Bachelor’s degree required in Electrical Engineering, Power Systems, Quantitative Finance or a related field.
• 3 years pricing structured products or derivatives in energy or financial markets.
• Familiarity with Financial Derivatives, Options Greeks, Market Making & Market Microstructure
• Solid understanding of ERCOT forwards, and option markets
• 2 years of related power systems, electric market design, or energy trading experience.
• Knowledge of market fundamentals within ERCOT.
• Understanding of transmission systems, power flow, congestion, and curtailment.
• Fundamental knowledge of how solar, wind, and battery storage assets operate within the various energy markets.
• Working knowledge of SQL and Python
• Knowledge of ISO and RTO wholesale market operations and applicable state regulations.
• Working knowledge of the various forms of capacity and ancillary services markets.
• Proven problem-solving and negotiation skills.
• Strong verbal and written communication skills and a high level of attention to detail.
• Ability to exercise discretion and independent judgment.
  
  

‘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
• Experience and confidence presenting to clients, board members and prospective clients.
• Experience working with SQL
  
  

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 -3 days in our offices in Austin, Texas.

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