Quantitative Portfolio Manager

Yearly salary  USD -  USD

The future of energy is digitized, decarbonized and localized. At Smartest Energy, we need revolutionary thinkers to help our customers make the most of this new landscape, thinking differently to find smart solutions to complex problems.

Formed in 2001, we’re an agile business driven by entrepreneurial thinking. As a subsidiary of the Marubeni Corporation, we also have strong investment and infrastructure behind us. As well as our three offices in the US, we have three offices in the UK and another in Australia.

Further expansion is planned for 2027 and beyond which means global career opportunities for you, with plenty of potential to explore new markets.

When you join our Team, you will have the opportunity to contribute and make an impact every single day.

The Quantitative Portfolio Manager is responsible for developing, maintaining, enhancing, and utilizing quantitative models and tools to estimate and manage the risks embedded within the company's energy portfolio. This role supports Trading and Risk Management activities by delivering analyses related to price and volume risk, hedge effectiveness, asset optimization, and financial performance.

The successful candidate will combine strong quantitative, statistical, and programming skills with knowledge of energy markets to improve portfolio risk measurement and support strategic decision-making. The role will focus on modeling forward and spot prices, retail load, and structured transactions to quantify portfolio risk under various market conditions and evaluate hedge strategies.

This position is hybrid, requiring 3 days per week worked from our New York City office.

Model the dynamics of an energy portfolio composed principally of:

• Retail power sales contracts
• Power & gas hedges
• Renewable asset PPAs
• BESS
• Heat rate call options

Ensure portfolio positions are accurately captured, reconciled, and represented in valuation and risk measurement processes.

Develop and maintain stochastic simulation frameworks to quantify portfolio risk and expected financial outcomes.

Calibrate correlated risk factor models to capture dependencies across portfolio exposures.

Model forward curve evolution and spot market dynamics based on fundamental and market-driven factors.

Analyze and forecast changes in retail customer composition, consumption patterns, and load characteristics.

Assist in identifying optimal hedge strategies to balance risk and profitability.

Evaluate hedge performance and effectiveness against portfolio objectives.

Analyze hedge costs and residual exposures.

Support the calculation of risk metrics including:

Evaluate portfolio sensitivities and tail-risk exposures under a range of market and operational scenarios.

Develop tools that provide visibility into portfolio exposures and risk concentrations.

Support structuring activities through analytical modeling.

Evaluate profitability and risk characteristics of proposed customer transactions.

Provide recommendations regarding portfolio composition and risk mitigation opportunities.

Analyze regulatory and market structure changes affecting portfolio performance.

Ensure models are appropriately documented, validated, and governed.

Improve data quality and analytics processes.

Develop scalable analytical tools and automated reporting solutions.

Maintain model transparency and audit readiness.

Bachelor's degree in:

• Quantitative Finance
• Mathematics
• Statistics
• Computer Science
• Data Science

Master's degree preferred.

3-7+ years of experience in US energy or commodity markets:

• Structuring
• Experience in electricity markets preferred.
• Familiarity with ISO markets such as PJM, NYISO, ISO-NE, or ERCOT preferred.
• Experience with portfolio risk measurement and calculation techniques.

• Quantitative finance
• Time series forecasting
• Regression modeling
• Machine learning techniques
• Forecasting methodologies

Proficiency with:

• R / Python
• SQL
• Excel

Experience with:

• Statistical modeling packages

Understanding of:

• Forward and spot power markets
• Load-following power sales
• Environmental products (RECs, carbon products)
• Load forecasting methodologies
• Capacity markets
• Ancillary Services

• Strong analytical and problem-solving skills
• Ability to translate complex quantitative findings into business…