Front Office IT - Power Flow
CWP Energy
At CWP Energy, we are at the forefront of the renewable energy revolution, leveraging our deep expertise in energy trading to drive innovation. Our entrepreneurial culture fosters creativity, encourages experimentation, and rewards risk-taking, setting us apart in the industry.
We are seeking a highly motivated Front Office IT to join our Power Flow team. This is a unique opportunity to contribute to a high-performance group that thrives on solving complex problems with cutting-edge techniques in applied mathematics, statistics, optimization, and machine learning.
Our team comprises passionate scientists, engineers, and mathematicians dedicated to advancing state-of-the-art methods in energy market analysis. We work with an extensive database of clean data, addressing challenging problems that are ideal for algorithmic trading strategies. Key Responsibilities:
- Process and analyze large power market datasets to extract insights on key fundamentals such as supply, demand, pricing, and grid congestion across the U.S. power grid.
- Develop and maintain predictive models for congestion and pricing trends, supporting data-driven trading strategies.
- Execute, refine, and optimize power flow models, ensuring data accuracy and model reliability for real-time market applications.
- Automate data processing, reporting, and analytical workflows using SQL and Python to improve efficiency and decision-making.
- Support senior Power Model Analysts by implementing and running model updates, executing analysis, and translating data into actionable insights.
- Continuously enhance data pipelines to improve the speed and accuracy of market forecasts and trading signals.
- Stay up to date with power market trends and leverage new data sources, methodologies, and technologies to improve forecasting and analysis.
- Master’s degree in a quantitative field (Engineering, Mathematics, Computer Science, Physics, Finance, etc.).
- 2+ years of experience with analysis of large datasets.
- Power Market experience (an asset)
- Proficiency in SQL and Python.
- Experience with agile software principles (an asset).
- Knowledge of machine learning and advanced statistical regression techniques (an asset).
- Ability to thrive in a fast-paced, results-oriented environment.
- An entrepreneurial results-driven corporate culture. Curious to know more ? McGill St Laurent
- Full group insurance and the opportunity to contribute to an RRSP program.
- A vacation policy upon arrival.
- A public transit incentive program.
- A Give & Match program
- A beautiful office with a gym, a lounge, locker rooms and showers.
_________________________ Chez CWP Énergie, nous sommes à l'avant-garde de la transition énergétique, mettant à profit notre expertise en trading d'énergie pour stimuler l'innovation. Notre culture entrepreneuriale favorise la créativité, encourage l'expérimentation et récompense la prise de risque, ce qui nous distingue dans l'industrie. Nous recherchons un TI - front office , pour rejoindre notre équipe Power Flow. Il s'agit d'une opportunité unique de contribuer à un groupe performant qui excelle dans la résolution de problèmes complexes grâce à des techniques de pointe en mathématiques appliquées, en statistiques, en optimisation et en apprentissage automatique. À propos de l'équipe Power Flow :
Notre équipe est composée de scientifiques, d'ingénieurs et de mathématiciens passionnés, dédiés à l'avancement des méthodes de pointe dans l'analyse des marchés de l’énergie. Nous travaillons avec une vaste base de données, en nous attaquant à des problèmes complexes qui se prêtent bien au trading algorithmique. Responsabilités principales :
- Analyser et traiter de vastes bases de données afin d’extraire des informations clés sur les fondamentaux tels que l’offre, la demande, les prix et la congestion du réseau électrique à travers les États-Unis.
- Développer et maintenir des modèles prédictifs sur la congestion et les tendances de prix, pour soutenir des stratégies de trading basées sur les données.
- Exécuter, ajuster et optimiser les modèles de power flow, en garantissant l’exactitude des données et la fiabilité des modèles pour des applications en temps réel.
- Automatiser le traitement de données, les rapports et les flux d’analyse à l’aide de SQL et Python, afin d’améliorer l’efficacité et la prise de décision.
- Soutenir les analystes séniors en modélisation en mettant à jour les modèles, en réalisant des analyses et en transformant les données en insights exploitables.
- Améliorer en continu les pipelines de données pour accroître la rapidité et la précision des prévisions de marché et des signaux de trading.
- Se tenir à jour des tendances du marché de l’énergie et tirer parti de nouvelles sources de données, méthodologies et technologies pour améliorer les prévisions et analyses.
- Diplôme de maîtrise dans un domaine quantitatif (génie, mathématiques, informatique, physique, finance, etc.).
- Plus de 2 ans d’expérience dans l’analyse de vastes bases de données.
- Expérience dans le marché de l’électricité (un atout).
- Maîtrise de SQL et Python.
- Expérience des principes du développement agile (un atout).
- Connaissance des techniques d’apprentissage automatique et des techniques avancées de régression statistique (un atout).
- Capacité à évoluer dans un environnement dynamique axé sur les résultats.
- L’opportunité de prendre part à une culture entrepreneuriale. Curieux d'en savoir plus? McGill St Laurent
- Une assurance collective complète et la possibilité de contribuer à un programme de REER.
- Une politique de vacances dès ton arrivée.
- Un programme d’incitatif pour le transport en commun.
- Un programme de give & match.
- Un magnifique bureau avec un gym, un lounge, des vestiaires et des douches.
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