This job was posted by https://www.azjobconnection.gov : For more information, please see: https://www.azjobconnection.gov/jobs/7509030

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: Masters 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.

Arevon Energy, Inc.

Latest Jobs

Quantitative Financial Analyst - PV & BESS