Quantitative Risk Manager (m/w/d) Energy Trading
Selby Jennings is currently partnered with a leading energy trading firm that is seeking a Quantitative Risk Manager to join its Algorithmic Trading Desk. This hybrid role blends software development with risk management, supporting the digital transformation of trading operations and ensuring robust risk oversight. As you grow into the role, you will help shape and implement opera
Main responsibilities:
- Design and maintain software tools to support algorithmic trading operations and risk controls.
- Lead the digitalization of trading desk processes to enhance efficiency and transparency.
- Collaborate with traders, quantitative analysts, and IT teams to integrate risk considerations into system and strategy design.
- Monitor and manage technical and operational risks associated with algorithmic trading.
- Contribute to the development of long-term operational risk frameworks as system knowledge deepens.
Your profile:
- 3-5 years of experience in software development and risk management.
- Proficient in Python, with solid software engineering skills.
- Background in energy trading or broader financial trading industries.
- Familiarity with algorithmic trading systems, data pipelines, and risk control mechanisms.
- Fluent in English, and German (B1 minimum).
If you are interested in discussing this role in a more detail - please apply with your current CV in PDF format, or reach out to Giovanny Benztio.
We'll be looking forward to your application. Please note that only applicants whose profile matches the requirements will be contacted. Your application will be treated confidentially.
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