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Operational Risk Intern(m/w/x)
Anomaly detection in ETRM for energy trading, developing algorithms for transaction accuracy. Designing AI solutions for trading support and historical risk control. Undergraduate degree in math/engineering/business and optimization algorithm development experience required. Work on cutting-edge AI solutions within a global energy trading environment.
Requirements
- Berufserfahrung
- Weniger als 3 Jahre Erfahrung
- Undergraduate degree in mathematics, engineering or business
- Experience in optimization algorithm development
- Strong analytical capabilities and coding proficiency
- Initial experience in developing AI‑driven tools
- Experience with Microsoft Power platform (plus)
- Strong autonomy and solid communication skills
- Mandatory tripartite agreement
Tasks
- Advance anomaly detection in the ETRM using internal tools
- Develop algorithms to verify transaction accuracy against market data
- Design and deploy automation and AI solutions for Trading Support
- Identify innovative opportunities to improve project efficiency
- Propose alternative AI solutions for historical risk control processes
- Support the standardization of the AI package and catalogue
- Formalize and maintain project documentation and methodologies
- Review non-regression testing to propose UAT algorithms and protocols
- Analyze risk events and perform root cause forensic analysis
- Develop Proof of Concept tools for operational risk management
- Manage all projects and deadlines accurately and timely
- Promote transparency and risk management within the organization
- Reduce trading operation risks through process improvements
- Communicate effectively with various departments on change management
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Microsoft Power platform
- Power Automate
- Power Bi
- Power Apps
- GEN AI
- Claude Code
- Codex
- Databricks
- Alteryx
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Operational Risk Intern(m/w/x)
Anomaly detection in ETRM for energy trading, developing algorithms for transaction accuracy. Designing AI solutions for trading support and historical risk control. Undergraduate degree in math/engineering/business and optimization algorithm development experience required. Work on cutting-edge AI solutions within a global energy trading environment.
Requirements
- Berufserfahrung
- Weniger als 3 Jahre Erfahrung
- Undergraduate degree in mathematics, engineering or business
- Experience in optimization algorithm development
- Strong analytical capabilities and coding proficiency
- Initial experience in developing AI‑driven tools
- Experience with Microsoft Power platform (plus)
- Strong autonomy and solid communication skills
- Mandatory tripartite agreement
Tasks
- Advance anomaly detection in the ETRM using internal tools
- Develop algorithms to verify transaction accuracy against market data
- Design and deploy automation and AI solutions for Trading Support
- Identify innovative opportunities to improve project efficiency
- Propose alternative AI solutions for historical risk control processes
- Support the standardization of the AI package and catalogue
- Formalize and maintain project documentation and methodologies
- Review non-regression testing to propose UAT algorithms and protocols
- Analyze risk events and perform root cause forensic analysis
- Develop Proof of Concept tools for operational risk management
- Manage all projects and deadlines accurately and timely
- Promote transparency and risk management within the organization
- Reduce trading operation risks through process improvements
- Communicate effectively with various departments on change management
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Microsoft Power platform
- Power Automate
- Power Bi
- Power Apps
- GEN AI
- Claude Code
- Codex
- Databricks
- Alteryx
About the Company
TotalEnergies Gas & Power Ltd
Industry
Other
Description
TotalEnergies has developed expertise in oil, biofuels, natural gas, LNG, and electricity trading, focusing on low carbon energies.
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