RWE Supply & Trading Americas, LLC, Chicago To start as soon as possible, full time, permanent Functional area: Commercial / Trading Your future plans The Asset & Commodity Modelling team is part of the Structuring&Valuation department and is responsible for quantitative support for Commercial Asset Optimization desks/teams in Europe and the US. We are now looking for a new colleague to support RWEST's expanding business. The role has a focus on the US Renewables and BESS markets. It is based with the trading teams in Chicago (no remote position, hybrid working possible). RWEST Americas manages a growing portfolio of renewables production capacity and electricity storage assets. Trading activities are centered around various ISOs across the US (e.g.

ERCOT, CAISO, MISO, PJM

). Your responsibilities Contribute to developing and maintaining systems for the systematic and automated commercialization of battery energy storage systems (BESS) in several US ISO markets. Model short-term power markets dynamics such as forward price curves and (RES/PPA) hedging factors to feed into decision making at the trading desks, incl. algorithmic trading decisions. Design, develop, deploy and maintain decision support tools in production environments. Contribute to development and improvement of 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. Your powerful skills Professional experience in a quantitative role in a commodity-trading house, utility or banking environment. Advanced degree (e.g. M. Sc. in finance, math, sciences, statistics, engineering or quantitative economics). Experience in 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 the power markets, ideally with exposure to battery storage, congestion markets, and / or hedging of renewable generating assets. Commercially focused, pragmatic attitude to work, strong quantitative background. Excellent communication skills. Results-oriented personality.

Ability to work effectively under pressure and to tight deadlines. Advantageous, but not a must PhD in finance, math, sciences, statistics, engineering, or quantitative economics. First experience with cloud resources and serverless technology. Passion, willingness to learn and resilient work ethic. Our offer Join an international leading energy trading house which is in a period of growth and at the forefront of the energy transition in the US. Find yourself in a motivating workplace that is built on mutual trust, values and a feedback culture with a positive and inspiring working atmosphere. Become a strong expert in the energy renewables trading business. Have the opportunity to build up a broad network at all levels and across countries within RWEST.

Competitive salary plus annual discretionary bonus. rwe.com/career

​Apply now with just a few clicks: ad code 93984Any questions? Contact Patrycja Muszynski patrycja.muszynski@rwe.com (Recruiting). We look forward to meeting you! We value diversity and therefore welcome all applications, irrespective of gender, disability, nationality, ethnic and social background, religion and beliefs, age or sexual orientation and identity. #inclusionmattersOf course, you can find us on LinkedIn, Twitter and Xing, too.