Energy Portfolio Quant & Risk Manager

SmartestEnergy Limited; New York (NY); Hybrid; USD 165,000 - 225,000; Full time

Job summary

SmartestEnergy Limited in New York hires a Quantitative Portfolio Manager to develop, maintain, and utilize quantitative models for energy portfolio risk management and hedging strategies. You will work on forward/spot price modeling, retail load, and structured transactions to quantify risk under varying market conditions.

The role focuses on stochastic modeling, hedging optimization, and risk measurement, requiring strong programming in R/Python and experience with energy markets.

Qualifications

• Bachelor's degree in quantitative fields (Finance/Math/Stats/CS/Data Science) and preferably a Master’s.
• 3-7+ years of experience in US energy or commodity markets.
• Experience in electricity markets is preferred.
• Familiarity with ISO markets (PJM, NYISO, ISO-NE, ERCOT) is preferred.
• Experience with portfolio risk measurement and calculation techniques.

Responsibilities

• Model the dynamics of an energy portfolio including retail power contracts and hedges.
• Develop and maintain stochastic simulation frameworks to quantify portfolio risk.
• Calibrate risk-factor models to capture dependencies across exposures.
• Model forward curves and spot market dynamics.
• Analyze and forecast changes in load characteristics and customer composition.
• Evaluate hedge strategies and performance against portfolio objectives.

Skills

Quantitative finance

Time series forecasting

Regression modeling

Machine learning

Forecasting methodologies

Power markets

Load forecasting

R

Python

SQL

Excel

Education

Bachelor's degree in Quantitative Finance

Bachelor's degree in Mathematics

Bachelor's degree in Statistics

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Master's degree

Tools

Statistical modeling packages

Job description

SmartestEnergy Limited in New York hires a Quantitative Portfolio Manager to develop, maintain, and utilize quantitative models for energy portfolio risk management and hedging strategies. You will work on forward/spot price modeling, retail load, and structured transactions to quantify risk under varying market conditions.

The role focuses on stochastic modeling, hedging optimization, and risk measurement, requiring strong programming in R/Python and experience with energy markets.