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Morgan Stanley brand and Mumbai metro increase competition, but niche ISO power-market skills limit applicants.
Role requires specialized ISO market and OPF expertise, limiting cross-industry transferability.
Mandated power-systems OPF experience and specific market-model tool proficiency make shortlisting highly selective.
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Calibrate, validate, and run Dayzer market simulation models using historical market and transmission data to analyze outages and congestion.
Develop reports and tools to track Dayzer model fidelity, transparency, and market structure changes for specific ISOs.
Collaborate with traders to manage portfolio risk and clients to structure tailored risk points of view, leveraging AI for workflow automation.
Bachelor's or Master's degree preferred in Power Systems with courses related to Optimal Power Flow (OPF).
Experience with power flow models such as DAYZER, UPLAN, AURORA, or similar market-based OPF software.
Familiarity with market regions PJM, MISO, or ERCOT is desired.
Strong proficiency in Excel and data visualization tools like Tableau or PowerBI; Python coding preferred.
Demonstrated ability to interpret and correlate dispatch and congestion patterns with model behavior in market-based OPF environments.
Experience working in fast-paced financial or energy market settings, supporting risk management for fixed income or related trading desks.
Strong technical and analytical skills with a focus on automated workflows and data-driven reporting.