5-7 years of quantitative experience in commodity trading, utilities, or banking.
Advanced degree in finance, math, sciences, statistics, engineering, or quantitative economics.
Proficient in numerical methods, particularly convex and mixed integer optimization.
Strong coding skills in Python or C#.
Familiarity with power markets, especially battery storage and renewable asset hedging.
Commercially focused with excellent communication skills.
Results-oriented with the ability to work under pressure.
Responsibilities
Develop and maintain systems for automated commercialization of battery energy storage systems (BESS).
Model short-term power market dynamics for trading decisions.
Design and deploy decision support tools in production environments.
Enhance commercial optimization strategies and position management techniques.
Provide quantitative ad hoc support to trading desks.
Build relationships with experts to understand business needs and deliver solutions.
Benefits
Join a leading energy trading house at the forefront of the US energy transition.
Work in a motivating environment based on trust and feedback.
Become an expert in the renewables trading business.
Expand your professional network across countries and levels within RWEST.
Full Job Description
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 93984 Any questions? Contact Patrycja Muszynski patrycja.muszynski@rwe.com (Recruiting). We look forward to meeting you!
