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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.
The Risk Management team is seeking a Quantitative Risk Manager to join their group. This role will report to the Head of Risk and will be responsible for quantitative risk analysis, control, and reporting in AES Clean Energy. The candidate will lead a small team to deliver on the quantitative aspects of measuring and supervising the commodity risks associated with AES Clean Energy's renewable portfolio. This position will work closely with various functional teams across the AES Clean Energy organization and will play a meaningful role in the business' buildout, operation, and future growth.
Principal Duties and 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.
- Be a change agent for the data-driven commercial decisions and roadmap for predictive analytics across the enterprise, collaborating with teams across AES Clean Energy.
Qualifications:
- Bachelor's Degree or equivalent experience in Finance, Economics, Math, Engineering, 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 who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.