ETRM

Firms that wish to secure the top ETRM talent in the energy market need to have access to the right resources. At TurleyWay, we work closely with global energy and commodity trading firms, partnering with clients and candidates to ensure the successful delivery of critical ETRM projects/programmes.

Our ETRM practice is a trusted supplier of ETRM talent that possess the functional and technical expertise sought by the world’s leading Trading Houses, Utilities, Merchant Traders, Hedge Funds, Investment Banks and Consultancies.

We work across the following product areas across EMEA, USA and APAC: Power, NatGas, LNG, Crude Oil and Refined Products, Metals and Agriculture.

Example roles we’ve recruited for:
ETRM Developer | ETRM Architect | ETRM Business Analyst | ETRM Project Manager | Head of ETRM

Case Studies:
ETRM Developer: LNG
Integrated Energy Company: England 

ETRM Architect: Power & Gas
Utility: Germany

Lead ETRM Business Analyst: Metals 
Trading House: Switzerland

ETRM Project Manager: Crude Oil 
Trading House: USA

Active jobs

Senior Risk Developer - Python

Houston
USA
Total comp: $250,000-$300,000
Global Energy Firm are developing a greenfield Risk & PnL engine within their E/CTRM. As such they are looking to hire a strong Python Risk Developer, coupled with an understanding of risk and an interest in commodities trading.  

Machine Learning Engineer

Houston
USA
Total comp up to $350k
Summary: You will  and personally design, prototype, and deploy models that tackle some of the most complex challenges in commodities, energy trading, and risk analytics. Requirements: -Experience within Energy or Commodities is essential  -Expert-level Python skills — passionate about coding and problem-solving daily. -MSc or PhD in Computer Science, Data Science, Machine Learning, or a related field. -Demonstrable experience in Data Science / Machine Learning, developing and deploying Machine Learning models, preferably in NLP, LLM and Generative AI domains Experience with ML frameworks and libraries such as TensorFlow, PyTorch, or Transformers

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