Manager Risk Analytics

Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation (NYSE: AES), a Fortune 500 company that's leading the charge in the global energy revolution. With operations spanning 14 countries, AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022. And with our certification as a Great Place to Work, you can be confident that you're joining a company that values its people just as much as its groundbreaking ideas.

AES is proudly ranked #1 globally in renewable energy sales to corporations, and with $12.7B in revenues in 2023, we have the resources and expertise to make a significant impact as we provide electricity to 25 million customers worldwide. As the world moves towards a net-zero future, AES is committed to meeting the Paris Agreement's goals by 2050. Our innovative solutions, such as 24/7 carbon-free energy for data centers, are setting the pace for rapid, global decarbonization.

If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a cleaner, more sustainable future - we're powering it. Apply now and energize your career with a true leader in the global energy transformation.

This role sits within the Global Risk Management group (GRM), which supports and reports directly to the AES Global Chief Risk Officer. GRM has two primary objectives. First, it ensures that robust controls are in place to validate that material risks are managed in accordance with executive directives. Second, it equips the executive team with highquality insight into the uncertainty surrounding forwardlooking earnings and cashflow estimates, including key drivers and potential mitigation strategies.

This role reports to the Director of Global Risk & Analytics within GRM, who is accountable for delivering on the second objective and supporting the broader organization in achieving the first, in partnership with risk management teams embedded in AES's portfolio of business units (Local Risk Teams).

The Manager of Risk Analytics is a key member on this team, improving our ability to successfully deliver on business-as-usual responsibilities; enhancing our positive relationships with local teams; bridging the gap between market/position expertise and technical capabilities required to continue building out AES's proprietary risk analytics platform; and building, documenting, and validating models and analyses for the firm's most complex positions and risks.

This is an exciting role with a significant opportunity to make an impact!

Primary Responsibilities:

• Support GRM business-as-usual (BAU) analysis and reporting activities aimed at estimating, monitoring, analyzing, explaining, and deriving insights from changes in uncertainty around forward-looking earnings and cash flow forecasts.
• Where possible, identify opportunities to improve BAU processes through automation, improved analysis, improved reporting, or other means and implement solutions to achieve these improvements.
• Collaborate with local commercial & risk 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 building analytic models (using AI techniques when possible) to explain drivers of actual earnings and cash flows for these positions based on the facts of the position, forecast expected future performance, and the range of uncertainty in future performance.
• Develop visualizations for these analytics to assist others in validating models, better understanding the basis for forecasts and the impact of changes in uncertain inputs to earnings or cash flows.
• Lead requirements gathering, design, development, quality control, deployment, support, documentation, and training to continue building and improving our proprietary risk analytics platform.
• Lead design, prototyping, and validating SQL and/or python-based models for valuing positions based on changing inputs, and for visualizing the results.
• Lead or assist in automating the prototypes described above and integrating them into our global analytics platform where it will contribute to an improved estimation of, and insight into uncertainty surrounding forwardlooking earnings and cashflow estimates used by our executive leadership team to make high-value decisions.
• Ensure all modifications to the proprietary platform follow defined version control and change-management protocols, including proper documentation, notification to end-users, and training.
• Support GRM efforts to improve efficiency in delivering on its primary objectives as outlined above.
• Assist in responding to ad-hoc requests for information, analysis, or explanations related to GRM responsibilities or as requested by the CRO.
• Support the development and maintenance of data quality checks, reconciliations, and validation processes associated with automated risk analytics.

Requirements

Need to Have:

• Houston-based (hybrid/on-site)
• 7+ years of relevant industry experience.
• Degree in a technical and / or quantitative field (MIS, Computer Science, Data Analytics, Quantitative Finance, or similar)
• Expertise in designing, building, and supporting data pipelines, analytical models, and reporting solutions using Python, SQL, and Power BI or web-based tools.
• Experience building and automating reusable analytical tools (Excel/VBA, Python, SQL), including data ingestion, processing, and visualization (experience with Agentic AI is a plus)
• Familiarity with spot and forward power 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.
• Familiarity with 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 At-Risk type risk metrics.
• Experience working with market, generation asset, and ETRM position data.
• 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.
• Experience supporting and troubleshooting production analytical models and data pipelines.

Nice to have:

• Familiarity with working in Google Cloud Services / BigQuery
• Ability to leverage Agentic AI to meet the listed responsibilities and to train others on our team to do the same.
• Allegro-Specific ETRM experience
• Experience working with ZEMA / Morningstar
• Experience building and maintaining Web-based applications
• Bilingual (English / Spanish)