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Energy is always evolving. At Hartree Partners, we use our decades of experience in the physical and financial energy and commodities markets to explore the opportunities this evolution provides. We assist our customers in participating in new markets and navigating their complexities for maximum revenues at minimum risk.
We provide a wide range of services to a substantial and diversified customer base that includes corporations, financial institutions, governments and individuals. Founded in 1997, the firm is headquartered in New York and maintains offices in many financial centers around the world. Hartree Partners LP is owned by the company’s Managing Partners, senior staff, and Oaktree Capital.
OUR VALUES:
We areDEEPLY ANALYTICAL, data driven, and methodical, research and application oriented, we seek to understand before we act.
We areENTREPRENEURIAL, intellectually curious and enterprising, our goal is to develop new methods and find new opportunities.
We areINNOVATIVE, creative and cutting edge, we welcome opportunities to break new ground.
We areCOLLABORATIVE, collegial and connected, our best work comes through the teams we have built.
We areETHICAL, operating with respect and honoring commitments, we are dedicated to making ethical and sustainable business decisions that reflect our core value of integrity.
ROLE OVERVIEW:
At Hartree, you will be at the forefront of energy analytics, exploring the rapidly evolving dynamics of the 21st-century energy landscape. You will analyze shifting power demand alongside the massive expansion of renewable energy, see the impact of geopolitics on global markets, and uncover the deep interconnections that bind the world through energy.
Your team is responsible for modeling solar, wind, and hydroelectric energy production, as well as global electricity and gas demand. Your work will involve developing, pipelining and maintaining advanced machine learning models, optimization techniques, and time series forecasting solutions. Collaborating with cross-functional teams, your work will drive trading strategies and improve operational efficiency.
RESPONSIBILITIES:
- Model Development:Help build models for fundamental market drivers, namely power & gas demand, wind/solar/hydro production etc. using cutting-edge machine learning models. Continuously improve these models based on real-time data and feedback from trading activities.
- Market Data Analysis:Conduct comprehensive analysis of data related to the European Power Market, including historical price data, supply and demand trends, weather patterns along with many other drivers. Utilize statistical and mathematical techniques to extract valuable insights.
- Framework Development:Contribute to large scale machine learning framework that creates and delivers forecast at scale. Enable other analysts and data scientists to prototype ideas with reusable system components.
- Research and Innovation:Stay up-to-date with industry-standard practices, emerging technologies in machine learning and data science. Explore new data sources and analytical techniques to enhance decision-making capabilities.
REQUIREMENTS:
- Proven experience as a Data Scientist, with a strong focus on machine learning and time series forecasting.
- Expertise in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch).
- Solid understanding of ML and data pipeline architectures and best practices.
- Experience with big data technologies and distributed computing (e.g., Spark, Hadoop) is a plus.
- Proficient in SQL and experience with relational databases.
- Strong analytical and problem-solving skills, with a keen attention to detail.
- Knowledge of version control systems (e.g., Git)
PREFERRED QUALIFICATIONS:
- Prior knowledge or experience in time-series forecasting for real-world applications
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices.
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
WHAT'S ON OFFER:
- Competitive salary up to £80,000 + bonus.
- Hybrid working arrangement (minimum 3 days in the London office)
SENIORITY LEVEL:Associate
EMPLOYMENT TYPE:Full-time
JOB FUNCTION:Analyst
INDUSTRIES:Oil and Gas, Services for Renewable Energy, and Oil, Gas, and Mining
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