Role: Quantitative Researcher – Trading & ShippingHours: 37.5 per weekLocation: Knightsbridge, London – office-based, five days per weekSalary: Dependent on skills, qualifications and experienceContract type: PermanentINEOS is a global manufacturer of petrochemicals, specialty chemicals and oil products with an overall turnover of about $55 billion and 25,000 employees. INEOS operate a large set of production units on 148 sites in 26 countries.As one of the INEOS Business Units, INEOS Trading and Shipping (IT&S) is responsible for the supply of gas and liquid feedstocks to the INEOS assets as well as third party storage, shipping and trading of those feedstocks.The trading activity includes the procurement, transportation and sale through complex supply chains involving pipelines, terminals, ships, barges and rail. This equates to thousands of bulk transportations per annum across our global supply chains.WHY JOIN US?IT&S has a strong ambition to grow its trading portfolio substantially over the coming years. The current mandate focusses on trading around assets and contracts in Europe, the US and China as well as proprietary paper and physical trading books.The Quantitative Researcher role is an opportunity to join the front office of INEOS Trading & Shipping at an exciting point in its growth.You'll join a lean and agile team where you'll have genuine ownership rather than simply maintaining established models and systems. You'll help shape how we use data, quantitative research and automation across Trading & Shipping, with the opportunity to build tools and analytical capability from the ground up.ABOUT OUR OPPORTUNITYThe physical market is our core business, where we trade Ethane, Naphtha and LPG. We also require a strong view on Crude, Natural Gas, Oil Products and Freight. A key part of the role will be developing a deep understanding of Natural Gas Liquids (NGLs), the full refining barrel, and global shipping balances and trends, translating this insight into actionable trading opportunities.The analysis team has three main purposes:Build and manage a suite of fundamental and quantitative models to support Traders whilst creating PnL value via trading strategies to inform the longer-term strategic direction across IT&S.Provide analysis and insight to IT&S teams to inform commercial decision-making.Deliver regular market intelligence updates to IT&S teams and management, to ensure they are kept updated and have support for commercial decisions.WHAT YOU'LL BE DOINGBuild and manage the IT&S data lake, organising complex and unstructured data to enable quantitative research across our Trading and Shipping activities.Develop robust data pipelines and quantitative models, turning complex datasets into advanced analytics and actionable trading insight.Create and own dashboards that clearly visualise data, model outputs and market trends, alongside more complex models focused on driving trading value.Lead the automation of existing and new processes as well as updating our systems to allow more time for creative trading and shipping analysis.Provide analysis and strategic insight for critical commercial negotiations and decision-making across Trading and Shipping teams.Utilise statistical models and automation to feed supply/demand balances across our traded products.Take ownership of process improvement and analytical projects, both short- and medium-term.ABOUT YOUYou’ll enjoy working at the intersection of markets, quantitative analysis and technology. You're intellectually curious, commercially minded and comfortable taking ownership of ambiguous problems rather than waiting for a predefined solution.We're looking for someone with:A Bachelor's degree in Data Science, Mathematics, Statistics or a closely related quantitative disciplineA genuine interest in commodity markets, quantitative research and tradingStrong quantitative, analytical and modelling skillsStrong Python skills for data analysis and modelling, including extensive experience with pandas and related librariesExperience in data visualisation/dashboarding, ideally Power BIAn understanding of data engineering fundamentals including scheduling, automation, reproducibility, with a focus on building robust solutions that don’t fall over quietlyStrong SQL and database skills, including data modelling, cleansing and optimisationExperience developing data pipelines and working with APIsThe ability to learn new tools and business concepts quicklyThe ability to communicate complex analysis clearly to commercial stakeholdersAn inquisitive, collaborative mindset and the ability to operate effectively as priorities changeDesirable, but not essentialFamiliarity with cloud-based data infrastructureKnowledge of physical commodity or shipping marketsWHAT WE OFFERAlongside the opportunity to build your career within a global Trading & Shipping business, our benefits include:25 days' holiday plus bank holidays, with the option to purchase up to 5 additional days through salary sacrificeContributory pension with employer contributionsFree on-site gymEnhanced family leaveEmployee Assistance ProgrammeBenefits platform offering a range of discountsAccess to discounted private medical and travel insuranceSalary sacrifice car schemeCycle to Work schemeEmployee referral bonus opportunityTo apply: please submit your CV by clicking the 'Apply' button#LI-DNIJob DetailsLocation Knightsbridge, United KingdomDiscipline Trading and ShippingType Full-timeBusiness INEOS Trading & ShippingPosted 27 October 2026Closing Date 10 November 2026 #J-18808-Ljbffr
Quantitative Researcher employer: INEOS Belgium
At INEOS Automotive, we pride ourselves on fostering a dynamic and inclusive work culture that thrives on innovation and collaboration. As a Product Specialist in our London office, you'll be part of an international team dedicated to redefining the 4X4 market, with ample opportunities for professional growth and development. We offer a supportive environment where your contributions are valued, and you can make a real impact in a company that embraces challenges with grit and humour.
