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ACES · 14 hours ago

Quantitative Analyst

National Service Center - Carmel, Carmel, IN, US

Full-time

Onsite

Entry, Mid Level

ACES is a company focused on providing analytical solutions in the energy sector. The Quantitative Analyst will be responsible for developing and enhancing portfolio optimization and risk models while interacting with clients to identify and manage portfolio risk exposures.

EnergyRenewable Energy

Responsibilities

Candidate will be responsible for quantitative analysis to assist clients with the management of physical, financial, and market risk exposures

Builds and maintains stochastic energy portfolio optimization models

Provides scheduled and ad-hoc reports to clients and senior management with detailed analysis of portfolio cost, hedge position, and risk metrics

Assists in the evaluation of hedging strategies, structured transactions, and long-term asset developments

Communicate with clients to understand and address new and ongoing analytical needs

Collaborates within and across teams to share and manage data and to innovate data solutions

Ability to travel

Will adhere to all ACES corporate policies and comply with all ACES regulatory requirements, including but not limited to NERC, FERC, and relevant state regulations, as applicable to this position

Any additional responsibilities assigned by management

Qualification

Quantitative analysisPortfolio optimization modelsProgramming languagesISO/RTO markets knowledgeStatistical analysisAnalytical skillsTechnical skillsMicrosoft ExcelCommunication skills

Required

Bachelor's degree or higher in mathematics, economics, finance, computer science, or an appropriate discipline

Experience in quantitative study, in finance, or the energy industry such as system operations, trading, and asset structuring

Knowledge of ISO/RTO markets and industry fundamentals such as operating procedures, buying and selling of energy, asset valuations, and position management

Foundational understanding of statistics, mathematics, and finance

High degree of analytical and technical skills, with the ability to organize and interpret data and to use complex models

Experience in applicable programming languages such as R, SQL, and Python preferred

Experience in Microsoft Excel

Excellent written and oral communication skills