In Short
As a Data Scientist with expertise in Large Language Models (LLMs), you will join our innovative Digital Trading team and play a pivotal role in enhancing SM&T’s automated trading infrastructure. You will collaborate closely with the team to analyse and interpret extensive time series data, leveraging LLMs to identify trends, patterns, and insights that will refine our trading strategies.
The successful candidate will be responsible for developing advanced predictive models and algorithms, generating insightful visualizations and reports, and effectively communicating findings. Additionally, you will contribute to the enhancement of algorithmic trading strategies and provide support for existing strategies using Python in the energy commodity sector.
What You Will Do
Your responsibilities will include data analysis and insight generation involving analysing large and complex time series data to uncover patterns, trends, and insights using Language Models (LLMs). This process requires a deep understanding of data interpretation and the ability to extract meaningful information from extensive datasets, allowing for informed decision-making and strategic planning based on identified trends.
In addition to analysis, Data Management plays a crucial role. This entails developing and maintaining databases and data pipelines to ensure efficient data processing and analysis. Effective data management guarantees that the data is organized, accessible, and ready for analysis, facilitating a seamless flow of information and supporting the overall data analysis process.
• Research and Development: Conduct cutting-edge research and analysis to improve the accuracy and efficiency of trading decisions.
• Visualization and Reporting: Create sophisticated visualizations and comprehensive reports to effectively communicate results and insights to stakeholders.
• Model and Algorithm Development: Develop and implement advanced statistical models and algorithms to support and optimize trading strategies.
• Performance Monitoring: Continuously monitor and evaluate the performance of trading strategies, making data-driven recommendations for improvement.
• Market Knowledge Application: Apply and expand your understanding of market structures to enhance trading outcomes.
What You Will Bring
The ideal candidate will have several years’ finance experience working with financial securities timeseries and/or undertaken real LLM projects professionally.
• Experience and Expertise: Strong background in data analysis, modeling, and visualization, particularly working with large datasets and LLMs.
• Technical Skills: Proficiency in Python and experience with LLM frameworks and libraries.
• Statistical Knowledge: Solid understanding of statistical modeling techniques such as regression and time series analysis.
• Research and Analytical Skills: Ability to conduct thorough research and analysis to inform trading strategies.
• Educational Background: Degree qualified in a STEM field or equivalent experience, with a solid foundation in data science and machine learning.
• Trading Acumen: Basic understanding of trading, ideally in commodities or other markets, with a willingness to learn and adapt.
About Us
Securing Energy for Europe – it’s a simple statement, with a bold ambition. SEFE is not just our name, but also encompasses everything that drives us. To accomplish this, we’re taking immediate action to secure gas supply – but also looking forward, to explore our role in the European energy transformation and how we can contribute to a stable and sustainable future.
SEFE, an international energy company, ensures the security of supply and drives the decarbonisation of its customers. SEFE’s activities span the energy value chain, from origination and trading to sales, transport and storage. Through its decades-long expertise in trading and the development of its LNG business, SEFE has become one of the most important suppliers to industrial customers in Europe, with an annual sales volume of 200 TWh of gas and power. Its 50,000 customers range from small businesses to municipalities and multinational organisations. By investing in clean energies and especially in the hydrogen ecosystem, SEFE is contributing to the energy transition. The company employs around 2,000 people globally and is owned by the Federal Government of Germany.
Join SEFE and help us secure gas supply across Europe and shape a better, more sustainable tomorrow.
Securing energy – now and for the future.
Our Benefits
We’re committed to creating an inclusive environment that embraces diversity and fosters the development of knowledge, skills and experience. Whatever your role, you’ll find an open, welcoming atmosphere that empowers you, and recognises your contribution. We offer a competitive starting salary supported by a comprehensive, and broad reaching benefits package which includes:
• Bonus earning potential
• Non-contributory pension
• 25 days holiday plus bank holidays and 2 volunteering days
• Buy / sell holidays
• Life assurance
• Medical and dental insurance
• Range of optional flexible benefits
Based from our offices in London, you can benefit from hybrid working offering the flexibility to spend some of your working week at home. We are committed to supporting your career growth with opportunities to develop both your knowledge and experience through a blended approach to learning.
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