, United Kingdom
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What’s the role?
SE-EA’s Gas Trading desk is looking for a Quantitative Analyst to join the front office. You will be a key member of a team of traders, quantitative and fundamental analysts, and originators focusing on quantitative analytics for gas trading, and wholesale structured transactions. You will work directly with gas trading teams, SE-EA’s front office quant analytics team on proprietary pricing and hedging models and collaborate with the technology team to enable the trading desk to effectively use proprietary internal technologies.
As a Quantitative Analyst, you will:
Support trading desks on any research and quantitative analysis needs with regards to structuring & trading/pricing book management, process and analytics automation and reporting.
Collaborate with SE-EA’s front office quant analytics team to develop and extend pricing and hedging models and tools for gas derivatives including storage, swing, and transportation contracts.
Work with traders to better understand and improve risk management, and to assist in hedging.
Support the development of an effective centralized quantitative capability within SE-EA
Contribute to SE-EA’s proprietary quant analytics libraries and support the upskilling of the quantitative toolkit across products.
What we need from you?
We are looking for candidates with high commercial capacity and strong skills. In addition to domain area expertise, the successful candidate will need to present strong interpersonal skills and the ability to communicate with both business and technical minded colleagues at all levels.
Advanced degree in a quantitative field: Mathematics, Engineering, Science or Operations Research.
Relevant front office work experience in energy trading with focus on gas markets.
Solid understanding of gas markets, fundamentals, and their derivatives products, as well as modelling, pricing, and hedging practices.
Strong knowledge of advanced numerical (e.g., Monte Carlo, finite difference), and optimization methods (e.g., for complex engineering or physical systems) for pricing and hedging energy derivatives.
Strong coding skills in Python with proficiency in common libraries for data science, such as NumPy, Pandas, scikit-learn.
Proficiency in querying API platforms and databases (SQL proficiency), and end to end application development.
Keen commercial acumen and enjoy the challenge of working in a customer focused, fast paced and rapidly evolving business.
Strong written and verbal communication skills.
Work autonomously on projects, manage time efficiently and deliver in a timely fashion
Present experience driving forward with initiatives and projects.
Additional & advantageous qualifications:
Working knowledge of core concepts and methods in computational statistics, predictive modelling, or machine learning.
Working knowledge in either C# or modern C++ (.Net framework).
Experience with other scientific and mathematical programming languages such as MATLAB or R.
Familiar with software design patterns, modern technology stacks or DevOps tools (e.g., Azure, GitHub) is highly desirable.
Shell started operations in the United Kingdom more than 110 years ago. Since then, we have grown into a leading innovative Oil & Energy company that rewards its employees by investing heavily in their careers and learning. Our people are our greatest asset, and our commitment to your career will see you thrive in a work environment that offers an industry-leading development programme. When your ideas travel, Shell will benefit, and innovation will thrive. Shell has a key role to play in helping meet the UK’s growing energy demand, whilst using innovative technologies to develop cleaner energy. We are the largest FTSE 100 company in the UK by market capitalisation and make a significant contribution to the UK economy. As well as processing 35% of the gas coming into the UK, we serve more than four million customers at our filling stations each week. Shell employs some 6,400 skilled staff as well as many contractors.
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