(Senior) Quantitative Analyst m/f/d 1

Rückbauanlage Gundremmingen•Chicago, IL
•Hybrid

About The Position

RWE Supply & Trading Americas is hiring a Quantitative Analyst for its Asset & Commodity Modelling team within the Structuring & Valuation department. The team provides quantitative support to Commercial Asset Optimization desks in Europe and the US. This role focuses on US renewable energy and battery energy storage system (BESS) markets, supporting the company’s expanding renewables and electricity storage portfolio and trading activity across US ISOs, including ERCOT, CAISO, MISO, and PJM. The position is based with the trading teams in Chicago. It is not a remote position, although hybrid working is possible. The role is full-time and permanent, with an ASAP start.

Requirements

  • Professional experience in a quantitative role in a commodity-trading house, utility, or banking environment.
  • An advanced degree, such as an MSc in finance, mathematics, sciences, statistics, engineering, or quantitative economics.
  • Experience using numerical methods in a trading environment, ideally including convex and mixed-integer optimization.
  • Coding experience in an object-oriented language, preferably Python or C#.
  • Experience in power markets, ideally with exposure to battery storage, congestion markets, and/or hedging renewable generating assets.
  • A commercially focused, pragmatic approach to work and a strong quantitative background.
  • Excellent communication skills.
  • A results-oriented personality.
  • Ability to work effectively under pressure and to tight deadlines.

Nice To Haves

  • A PhD in finance, mathematics, sciences, statistics, engineering, or quantitative economics.
  • Initial experience with cloud resources and serverless technology.
  • Passion, willingness to learn, and a resilient work ethic.

Responsibilities

  • Contribute to developing and maintaining systems for the systematic and automated commercialization of battery energy storage systems in several US ISO markets.
  • Model short-term power market dynamics, including forward price curves and renewable energy/PPA hedging factors, to support trading desk decisions, including algorithmic trading decisions.
  • Design, develop, deploy, and maintain decision-support tools in production environments.
  • Contribute to developing and improving commercial optimization strategies, calibration, and position management techniques.
  • Provide quantitative ad hoc support.
  • Build and maintain relationships with experts across the group to understand business needs and provide solutions.

Benefits

  • Competitive salary plus an annual discretionary bonus.
  • Motivating workplace built on mutual trust, values, and a feedback culture, with a positive and inspiring working atmosphere.
  • Opportunity to become a strong expert in energy renewables trading.
  • Opportunity to build a broad network at all levels and across countries within RWEST.
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