Description
Press Tab to Move to Skip to Content Link RWE Supply & Trading Americas, LLC, Commercial / Trading To start as soon as possible, Full time, Permanent Your future plans The Applied Structuring team is part of the Structuring&Valuation department and is responsible for quantitative support for trading desks and origination 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 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). Design, develop and maintain algorithms for the automated commercialisation of battery energy storage systems (BESS) in several US ISO markets Model short term power markets dynamics to feed into decision making at the trading desks, incl. algorithmic trading decisions Design, develop and deploy algorithms in production environments. Model long term power curves for valuation and pricing. Support the development and improvement of market optimization strategies, calibration and position management techniques. Provide quantitative ad hoc support, e.g. developing offline systems and tooling for statistical analysis, or evaluation of physical/financial transactions Be our quant in Chicago – while also leveraging the expertise from Structuring&Valuation colleagues at different locations Build and maintain relationships with experts across the group (e.g. cloud architects, embedded software team, or weather and market analysis teams) in order to quickly deliver optimal solutions. (Several years of) professional experience in a quantitative role in a commodity-trading house, utility or banking environment Experience in using numerical methods in a trading environment, ideally convex and mixed integer optimization, multivariate time series forecasting, and/or complex derivative pricing. (Several years of) programming experience in an object-oriented language (preferably Python or C#). Familiarity with asynchronous and functional programming concepts is a plus. Experience in the power markets, ideally with exposure to battery storage, congestion markets, and / or hedging of renewable generating assets. Commercially focussed, pragmatic attitude to work, strong quantitative background. Excellent communication skills. Results-oriented personality. Ability to work effectively under pressure and to tight deadlines Fluency in English Being able to work autonomously, while also being a good team player Benefits you can rely on Join an international leading energy trading house which is in a period of growth and at the forefront of the energy transition. 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 Apply now with just a few clicks: ad code 80268 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. inclusionmatters Of course, you can find us on LinkedIn, Twitter and Xing, too. RWE Supply & Trading is the interface between RWE and the energy markets around the world. Approximately 1,700 employees from over 50 different countries trade (renewable) electricity, (green) gas, commodities and CO2 emission allowances. The trading entity also ensures the commercial optimisation of RWE’s power plant dispatch and markets electricity from renewables.
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