Data Analyst
3 weeks ago
Petroineos comprises trading and refining joint ventures between PetroChina International (London) Company Limited and INEOS. As a leading International Integrated Energy Trading Company, Petroineos was established in 2011 and has become one of Europe's major players in the energy market.
In addition to third-party trading, Petroineos Trading's key functions include the supply of crude oil to refineries and the arrangement of sales and distribution of various products. These products include both crude oil and refined oil products.
PetroChina International is the trading arm of PetroChina Company Ltd, and is one of the world's largest global commodity trading companies. With its headquarters based in Beijing and subsidiaries in over 20 countries, including three major oil and gas trading and operation hubs in Houston, London, and Singapore.
Job Opportunity - Quantitative ResearcherWe are seeking a results-driven, confident, and commercial individual to join our team as a Quantitative Researcher (QR) based in our London office. The position will be part of an efficient and collaborative global systematic trading team.
The QR will focus on supporting traders to develop and optimise trading models, conduct research and coordinate with fundamental analysts to fine-tune insights into the market. This includes developing AI and mathematical models to interpret market behaviour and generate trading signals, conducting research and analysis to detect market regimes and identify inefficiencies, working in collaboration with traders and strategies to back-test trading strategies using historical data to evaluate performance and robustness, including coordination with fundamental analysts to contribute fundamental opinions and assumptions.
Key Responsibilities- Develop and optimize trading models using Python and experience of utilising large datasets. Proven additional skills using C++/C# will be seen as advantageous.
- Conduct research and analysis to detect market regimes and identify inefficiencies from a dynamic perspective of connection and development.
- Work in a quantitative trading/analysis type role with a job focus on energy markets, machine learning, statistical techniques, and related libraries.
- Collaborate with small, high-performance teams.
- Utilize quantitative, numerical, and analytical skills.
A competitive salary (£60,000 - £80,000 per annum), plus bonus and a comprehensive benefits package.
This is a full-time, 12-month fixed-term contract position with the job based in Charing Cross, London.
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