Quantitative Financial Analyst - PV & BESS

at Arevon Energy, Inc. in Scottsdale, Arizona, United States

Job Description

Job Title: Quantitative Financial Analyst – PV & BESS
Employer:                            Arevon Energy, Inc.
Location:                             Scottsdale, AZ Onsite

Job Duties:   

• Apply mathematical and statistical models to evaluate the performance, risk, and profitability of PV solar and battery energy storage assets (“BESS”).
• Develop analytical tools to address issues such as portfolio optimization, performance measurement, profit and loss measurement.
• Develop and maintain financial models to value Solar and BESS projects, incorporating complex contract structures, operating constraints, and revenue stacking.
• Produce written summary reports of financial research results to support financial decisions and develop dashboards to report on on-going performance.
• Develop statistical models utilizing machine learning to produce short-term solar production estimates and evaluate market risk based on weather uncertainty.
• Develop algorithms for the optimal bidding and dispatch of BESS assets and co-located Solar and BESS in wholesale electricity markets to maximize revenue across energy, ancillary services, and capacity products.
• Analyze historical data to critically evaluate the advantages and limitations of various Solar and BESS trading strategies.
• Design tools in Python to measure exposure to market risks, such as price volatility, congestion/basis risk, cycling limits, and degradation-driven volume risk.

Job Requirements:           

• Education: Master’s degree in Computational Finance & Risk Management or a related field

Experience Required:

12 months’ experience in job offered or as a Quantitative Analyst or Senior Quantitative Analyst or any combination thereof.

Must have 12 months’ experience (can be gained concurrently with experience above) in the following:

• Perform financial modeling for merchant power markets in the US, specifically the co-optimization of Energy, Ancillary Services, and Capacity products.
• Work on time-series econometrics for highly volatile, non-normal data, including handling price spikes, negative pricing, and basis (location-specific) price risk.
• Conduct probabilistic forecasting, using techniques such as Monte Carlo simulation to generate confidence intervals for renewable generation and power prices.
• Work with optimization solvers (e.g., Gurobi, CPLEX, or Pyomo) to solve multi-period dispatch problems for physical assets.
• Apply knowledge of the physical characteristics of lithium-ion batteries and solar performance modeling to integrate physical constraints into financial algorithms.
• Build Python-based reporting dashboards for internal market monitoring and tracking.

Employer will accept any suitable combination of education, training or experience.

Qualified applicants should email resume to: people@arevonenergy.com and reference job # 89369.00002. Employer: Arevon Energy, Inc., Location: Scottsdale, AZ onsite.