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3 months ago
CWP Energy Solutions delivers value to renewable power generators by de-risking their business and stabilizing their returns. Using cutting-edge technology, proprietary data and deep power markets expertise, our data-driven platform gives our partners the tools and intelligence to optimize the sale and purchase of their electricity while managing risks from growing grid intermittency. We partner with renewable energy generators across North America operating in deregulated power markets who seek to maximize the returns on their solar, wind and battery storage investments.
We are proud of our entrepreneurial approach that encourages initiative, experimentation and risk taking. This role is a great opportunity for an individual who wants to create value in an organization that has limited red tape and join a team that operates in a startup-like environment.
**Key responsibilities**
- Design and implement data models, algorithms, analytics, and dashboards to identify and communicate Power Markets insights.
- Comprehend, develop, and deploy time series analysis within the context of power markets.
- Research objective functions, regularization techniques, and constraints that will let you confidently deploy complex models under real world conditions/uncertainty.
- Analyze drivers of day ahead and real time congestion market outcomes based on a variety of factors, including demand, supply, renewables, specific transmission, generation outage impacts, bids, facility limits, etc.
- Perform various ad hoc fundamental analysis for asset managers and develop reports for our business partners.
- Develop automated tools to simplify the production of reports and analysis using SQL and Python.
**Qualifications**
- Master's degree in actuary, finance, engineering, or related field.
- 5+ years of experience in a data scientist role, with strong analytical, statistical, and quantitative skills.
- Strong programming skills in Python and SQL.
- Ability to write technical and commercial reports to convey information in a clear and concise manner.
- Data Visualization skills (Power BI, Tableau) is an asset.
- Knowledge of North American power markets (RTO/ISO) is an asset.
- Excellent written and spoken English skills. French is an asset.
**What we offer**:
- A results-driven corporate culture.
- Full group insurance and the opportunity to contribute to an RRSP program.
- A vacation policy upon arrival.
- A public transit incentive program.
- Flexible hours and hybrid work.
- A beautiful office with a gym, a lounge, locker rooms and showers.
- Version française_
**-CWP Energy Solutions, une compagnie du groupe McGill St Laurent-**
CWP Energy Solutions se positionne auprès des générateurs d'énergies renouvelables en réduisant les risques de leurs activités et en stabilisant leurs revenus. Grâce à des technologies de pointe, à un large répertoire de données exclusives et à une expertise approfondie des marchés de l'énergie, notre plateforme fournit à nos partenaires les outils et l'intelligence de marché nécessaires pour optimiser la vente et l'achat de leur électricité tout en gérant les risques liés à l'intermittence croissante du réseau. Nous travaillons en partenariat avec des producteurs d'énergie renouvelable à travers l'Amérique du Nord qui opèrent sur des marchés déréglementés et qui cherchent à maximiser le rendement de leurs investissements en énergie solaire et éolienne ainsi qu'en stockage de batterie.
Nous sommes fiers de notre approche entrepreneuriale qui encourage l'initiative, l'expérimentation et la prise de risque. Ce poste est une excellente occasion de créer de la valeur dans une organisation où l'aspect administratif est limité et est idéal pour une personne qui aspire à opérer dans un environnement de type startup.
**Responsabilités principales**:
- Concevoir et implanter des modèles prédictifs, des algorithmes, des analyses et des tableaux de bord afin d'identifier et de communiquer des informations sur les marchés de l'énergie.
- Analyser les facteurs qui influencent le prix de l'électricité sur les marchés en temps réel et sur le « day ahead » en fonction de divers facteurs, notamment la demande, l'offre, les énergies renouvelables, la transmission, les pannes de production, les enchères et les capacités des générateurs, etc.
- Comprendre, développer et déployer des analyses de séries temporelles sur les marchés d'électricité.
- Rechercher des fonctions objectives, des techniques de régularisation et des contraintes qui permettront de déployer avec assurance des modèles complexes dans des conditions réelles.
- Faire appel aux statistiques, à l'apprentissage automatique et à une variété d'autres techniques pour analyser les données, générer des modèles et développer des stratégies de monétisation des données.
- Effectuer diverses analyses fondamentales ad hoc
