Quantitative Portfolio Manager

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.

In this role, you will be involved with the following:

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

Environmental products

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:

Gross Margin at Risk (GMaR)

Value at Risk (VaR)

Expected Shortfall (ES)

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

Engineering

Mathematics

Statistics

Computer Science

Data Science

Related quantitative discipline

Master's degree preferred.

Risk analytics

Time series forecasting

Regression modeling

Machine learning techniques

Monte Carlo simulation

Optimization methodologies

Forecasting methodologies

Proficiency with:

R / Python

SQL

Excel

Experience with:

Statistical modeling packages

Understanding of:

Forward and spot power markets

Load-following power sales

Energy hedging strategies

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 recommendations

Attention to detail and intellectual curiosity

Commercial mindset

Effective communication and presentation skills

Ability to work independently and manage competing priorities

Diversity

Celebrating our inclusive and diverse culture is core to what we do. We value everybody irrespective of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability and genetic information (including family medical history). EOE.

We know that for our business to thrive we need diverse talent with a range of backgrounds, skills and capabilities in each of the countries in which we operate. We view diversity as one of the key enablers that helps our business to grow.

We are committed to the full inclusion of all qualified individuals. As such, if a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the HR & People Team via email [email protected] so we can discuss with you further.

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