# Energy Markets Intern

**Company:** [Voltus](https://hotfix.jobs/companies/voltus)
**Location:** Remote
**Role:** Data Science
**Salary:** $42k – $62k/yr
**Experience:** 0+ years
**Skills:** Python, R, MATLAB, SQL, Excel, monte carlo, derivatives valuation, risk modeling, capacity markets, probabilistic modeling, AI Infrastructure
**Posted:** 2025-12-29

> Intern on the Energy Markets team building quantitative risk models, Monte Carlo simulations, and automated tooling to price and risk-weight capacity positions in wholesale energy markets. Requires graduate-level quantitative background, strong programming skills, and demonstrated interest in capacity markets.

## Job Description

## What You'll Do
- Build scalable quantitative risk models and automated tooling to price and risk-weight capacity positions across auction-based and bilateral markets.
- Develop Monte Carlo, scenario, and stress-testing analyses that weight the full range of possible market outcomes and quantify upsides and downsides in uncertain scenarios.
- Research the long-term supply and demand drivers of capacity value in the markets we serve, including generation retirements and additions, load growth and data-center demand, virtual power plants, and evolving accreditation methodologies — and translate them into model inputs.
- Value and recommend risk-management strategies, including derivatives (for example, Black-Scholes-based valuation), hedging structures, and the option value of various market positions.
- Replace multi-source manual research with a data model that refreshes on the latest available data automatically.

## What We're Looking For
- Graduate-level candidate pursuing or recently completed an MBA or quantitative master’s degree, or equivalent professional experience in trading, risk, or quantitative market analysis.
- Demonstrably quantitative with probability and statistics second nature; comfortable with probabilistic and statistical modeling, derivatives valuation, and core financial-risk concepts.
- Strong programmer proficient in Python, R, or MATLAB, plus SQL, Excel, and modern AI infrastructure; able to build tooling others can rely on.
- Demonstrated interest in capacity markets specifically, with coursework, projects, work, or self-directed learning on power and capacity markets.
- Bright, gritty, and good: intellectually curious, comfortable owning open-ended and ambiguous problems, able to thrive in a remote, fast-paced environment. Track record of success working remotely strongly preferred.

## Bonus Points
- Hands-on exposure to capacity, resource-adequacy, or ancillary-services markets in any ISO/RTO, demand response, or wholesale power trading.
- Experience turning analysis into durable tools, dashboards, or data pipelines.
- Familiarity with derivatives pricing and hedging in a commodity context.

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