Quantitative Analyst Risk

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At AES, we're accelerating the future of energy, together, while transforming the customer experience and delivering unique customer products and solutions. We are currently looking for an Analyst, Quantitative Risk. This employee will be on the Risk team and will be responsible for developing risk reports and models, assisting controls through risk reporting in line with risk policies, and supporting model validation initiatives in Clean Energy. The Quantitative Risk team will collaborate with other commercial teams to assess both Pricing and Risk Models and will play a significant role in the implementation of the Model Validation and Control Policy.

Main Responsibilities

• Support the risk team's development of risk reporting platform covering positions, limits, and risk analytics.
• Facilitate risk reporting platform to align with risk policies.
• Support the commercial team's development of pricing and valuation models for Battery storage and other complex structures with inputs including pricing at electricity hubs, basis, ancillary services, and capacity.
• Support periodic model reviews and ensure model use and governance.
• Respond timely to ad-hoc analysis requests from the Origination, Finance and Group Risk teams.
• Research market rules and changes to ensure models are in-line with real-world constraints.
• Develop machine learning models, optimization models, and software services to support systematic trading strategies employed by our trading and market operations teams.
• Assist the commercial team in building model infrastructure, common modeling frameworks, task-level initiatives, and business-wide strategies.
• 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 in Finance, Economics, Maths, Engineering, sciences, or equivalent.
• An Advanced degree in a STEM field or 1-2 years of relevant work experience in the energy industry is preferred.
• Proficiency in Python, R, or similar platforms, ability to run, modify, and build analytical tools.
• Able to manipulate, analyze, and visualize data. Database and Business Intelligence experience preferred.
• Ability to draw insight from data and communicate technical topics to a range of audiences.
• Familiarity with time-series forecasting methods and linear optimization is helpful.
• Flexible and adaptable commercial agility; ability to reorder critical analysis projects based on new commercial requirements, under tight deadlines and sometimes changing requirements. Experience managing dynamic workflow and multiple projects simultaneously.
• Strong interest in learning about US power markets.
• Basic finance/ economics knowledge, that can serve as the basis of learning about cash flow, future, forward, optional agreements, and intrinsic - extrinsic valuation.
• Understanding of risk management and portfolio theory, principles, and measurement concepts including Value-at-Risk, Cash Flow-at-Risk, and Back Testing analysis.

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.

Safety comes first at AES. To protect the health and safety of our people, customers, communities and partners, and to provide and maintain a workplace that is free of known hazards, AES requires all newly-hired people or current AES people applying for U.S.-based role(s), to be fully vaccinated against COVID-19 or be willing to be fully vaccinated against COVID-19 by their date of hire. Except where prohibited by law or not specifically covered in a collective bargaining agreement, new hires and transfers will be required to provide proof of vaccination during onboarding and periodically thereafter. This policy will comply with all applicable laws and is based on guidance from the Centers for Disease Control and Prevention and local health authorities, as applicable.