Quantitative Analyst

2 months ago

Manchester, United Kingdom Gazprom Energy Full time
About the Role

We are seeking a highly skilled Data Scientist to join our Portfolio Modelling team in Manchester or London. As a key member of our team, you will play a crucial role in developing tailored insights into demand and portfolio forecasts across Gas, Power & Emissions.

Key Responsibilities
  • Develop, deploy, and maintain industry-leading modelling solutions and deliver analytical insights to support wider business success.
  • Discover and integrate new structured and unstructured data sources from internal systems, industry APIs, web scraping, file flows, counterparty news sources, and market participant datasets.
  • Collaborate with risk management to develop new products and solutions to minimize portfolio risk and exposure.
  • Ensure a stable and automated operating environment with strong backup and benchmarking processes for data analytics, visualization, quality assurance, report content monitoring, and issue resolutions.
  • Liaise with stakeholders to ensure tier-one insight into portfolio EBITDA performance, customer metrics, price and fundamental influences, and external portfolio impacts.
  • Build strong collaborative relationships with key stakeholders to ensure industry-leading forecasts and insights.
  • Contribute to R&D for concept and prototype development for data mining and data-gathering techniques leading into ML/AI design and forecast data visualization.
Requirements
  • Proven experience in an analytical role demonstrating the ability to work at pace while maintaining a high degree of accuracy.
  • Self-motivated with strong organizational skills and effective communication skills (both written and verbal) with the ability to position your message appropriately for the audience.
  • High-level proficiency in Python, SQL, and machine learning techniques.
  • Advanced analytical competencies.
  • Experience using data visualization tools.
  • Knowledge of forecasting techniques.
  • Exposure to production engineering technologies such as Docker.
  • Proven experience in data science across finance, trading, or energy industries.
  • Experience in the delivery of time series forecasting and analysis (desirable).
About Us

Gazprom Energy is a leading energy supplier committed to placing data and technology at the heart of our business model. We are part of the SEFE Group, which employs approximately 1,500 employees. Our focus for 2022-2025 is strategic, profitable growth and strengthening our foundations. We are looking for people who are passionate about where we're going and will help us thrive long into the future.

We are committed to creating an inclusive environment that embraces diversity and fosters the development of knowledge, skills, and experience, so all our people can thrive and prosper in their careers with us. We are a place where you can be yourself and make your mark because whatever your role, you'll find an open, welcoming atmosphere that empowers you, encourages fresh thinking, and recognizes your contribution.

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