(Senior) Quantitative Analyst m/f/d 1

RWE • Chicago, IL

3d • Hybrid

About The Position

RWE Supply & Trading Americas is seeking a Quantitative Analyst to join its Asset & Commodity Modelling team within the Structuring & Valuation department. The team provides quantitative support to Commercial Asset Optimization desks and teams in Europe and the US. This role focuses on US renewables and battery energy storage system (BESS) markets and is based with the trading teams in Chicago; it is not a remote position, though hybrid working is possible.

The role supports RWEST Americas’ growing portfolio of renewable generation capacity and electricity storage assets, with trading activity across US ISO markets including ERCOT, CAISO, MISO, and PJM. The position contributes to systematic and automated commercialization of battery storage, models short-term power market dynamics, develops production decision-support tools, and supports commercial optimization strategies and trading decisions.

Requirements

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

Nice To Haves

• 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/PPA hedging factors, to support trading-desk decision-making, 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 annual discretionary bonus.
• Opportunity to become a strong expert in the energy renewables trading business.
• Opportunity to build a broad network at all levels and across countries within RWEST.
• Motivating workplace built on mutual trust, values, and a feedback culture, with a positive and inspiring working atmosphere.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior