Lead Risk Analyst

AES•Houston, TX

About The Position

The AES Corporation (NYSE: AES), a Fortune 500 company, is a leader in the global energy revolution, operating in 14 countries and committed to shaping the future through innovation and collaboration. Recognized as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022 and certified as a Great Place to Work, AES is dedicated to its people and groundbreaking ideas. AES is ranked #1 globally in renewable energy sales to corporations and generated $12.7B in revenues in 2023, providing electricity to 25 million customers worldwide. Committed to meeting the Paris Agreement's goals by 2050, AES offers innovative solutions like 24/7 carbon-free energy for data centers to drive rapid, global decarbonization. This role is within the Global Risk Management (GRM) group, which supports the AES Global Chief Risk Officer. GRM's objectives include ensuring robust controls for material risks and providing the executive team with high-quality insights into forward-looking earnings and cash-flow uncertainty. The Lead Risk Analyst reports to the Director of Global Risk & Analytics within GRM, contributing to business-as-usual responsibilities, maintaining relationships with local teams, building knowledge, documentation, modeling, and validation of complex positions, and enhancing the proprietary risk analytics platform. This is an impactful role with significant opportunity.

Requirements

3+ years of relevant industry experience.
Degree in a relevant quantitative field (e.g., Financial Mathematics, Econometrics)
Demonstrated knowledge of spot and forward energy markets, fundamental drivers of changes in expected forward-looking earnings and cash-flows for portfolios comprised of thermal and renewable generation assets, structured transactions, and standard hedging products.
Demonstrated knowledge of risk management concepts including valuation, delta/gamma position definitions, uncertainty vs risk, and how to operationalize those via mathematical models, statistics, percentile analysis, risk simulation, and metric calculations, specifically for Value-At-Risk type risk metrics.
Experience implementing the above as re-usable tools using excel/VBA and either SQL or Python and developing data visualizations for the inputs and outputs.
Sufficient technical skills to contribute to the design and implementation of automated processes to support the analytical requirements for this role (Excel / VBA for user interface, SQL for data acquisition, VBA or Python for process automation, Excel or Power BI for presentation layer).
Experience analyzing nightly valuation outputs from an ETRM system (ideally Allegro) to summarize changes in value, position, prices, and / or risk metrics.
Demonstrated ability to clearly present and explain the above to different audiences with widely varying subject matter expertise.
Demonstrated ability to balance between individual vs collaborative problem-solving based on deliverable requirements.
Individual approach for tracking and managing competing tasks, proactively clarifying priorities, asking questions, communicating issues or delays, and managing upward expectations to deliver results that meet or exceed expectations in terms of quality and timeliness.

Nice To Haves

Familiarity with working in Google Cloud Services / Big Query
Allegro-Specific ETRM experience
Experience working with ZEMA / Morningstar
Knowledge of Mexico, Central America, the Caribbean, and South American power markets.
Bi-lingual (English / Spanish)

Responsibilities

Partner with local commercial & risk teams across our global portfolio to facilitate timely and comprehensive sharing of information related to local markets, assets, transactions, and drivers of financial uncertainty.
Collaborate with these teams to better understand and document specific market, asset, product, or transaction details that drive changes in expected earnings and cash flows for the AES portfolio.
Assist in developing excel-based models to estimate expected earnings and cash flows for these positions based on the facts of the position, and how those will change with changes in uncertain inputs.
Develop visualizations to assist in explaining and validating the impact of changes in uncertain inputs to earnings or cash flows.
Review the fact-based models results with how positions have been modeled into our energy trading & risk management and risk analytics systems, document and share findings.
As necessary, assist in designing, prototyping, and validating SQL and / or python-based models for valuing positions based on changing inputs, and for visualizing the results.
Support GRM business-as-usual analysis and reporting activities aimed at estimating, monitoring, analyzing, explaining, and gleaning insights from changes in uncertainty around our forward-looking earnings and cash flow forecasts.
Support GRM efforts to improve its efficiency in delivering on its primary objectives.
Assist in responding to ad-hoc requests for information, analysis, or explanations related to GRM responsibilities or as requested by the CRO.