Quantitative Risk Manager
3 days ago
AES is a leading Fortune 500 company driving the global energy revolution. We're committed to shaping a sustainable 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.
As a Quantitative Risk Manager, you'll play a critical role in our Risk Management team. You'll lead a small team to deliver on the quantitative aspects of measuring and supervising commodity risks associated with our renewable portfolio. You'll work closely with various functional teams across AES Clean Energy and contribute to the business' buildout, operation, and future growth.
Key Responsibilities:- Support the commercial team's development of risk measurement and pricing models.
- Analyze portfolio positions, mark-to-market of portfolio positions, realized and unrealized P&L, and standard risk metrics.
- Own the portfolio risk monitoring and daily reporting infrastructure.
- Conduct periodic model reviews and ensure model use and governance.
- Respond timely to ad-hoc analysis requests from the Origination, Finance, and Global Risk teams.
- Research market rules and changes to ensure models are in-line with real-world constraints.
- Assist the commercial team in building model infrastructure, common modeling frameworks, task-level initiatives, and business-wide strategies.
- Participate in Risk Management Team meetings and provide reports to the Team.
- Bachelor's Degree or equivalent experience in Finance, Economics, Math, Engineering, or Sciences.
- Advanced degree and/or certifications in an analytic field and data analysis preferred.
- 5-7 years of relevant market and quantitative risk experience in the energy industry.
- Experience with ETRM systems in general crucial.
- Experience with Allegro particularly useful.
- Able to manipulate, analyze, and visualize data.
- Ability to draw insight from data and communicate technical topics to a range of audiences.
- Flexible and adaptable commercial agility; ability to reorder critical analysis projects based on new commercial requirements, under tight deadlines and sometimes changing requirements.
- Familiarity with time-series forecasting methods and linear optimization.
- Experience in US power markets, including energy, ancillary services, and environmental products.
- Strong familiarity with cash flow, future, forward, and optional agreements.
- Familiarity with certain/intrinsic and uncertain/extrinsic valuation.
- Understanding of risk management and portfolio theory, principles, and measurement concepts including Value-at-Risk, Cash Flow-at-Risk, stress reporting, and other risk measures including Back Testing analysis.
- Experience managing a small team.
AES is an Equal Opportunity Employer committed to building strength and delivering long-term sustainability through diversity and inclusion. We respect all backgrounds, differences, and perspectives, enabling us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work.
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