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Job Location | London |
Education | Not Mentioned |
Salary | Competitive salary |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent , full-time Work from home |
Entity: Trading & Shipping Job Family Group: Supply & Trading Group Job Summary: Grade IWith guidance, responsible for delivering relevant analysis and modelling to provide commercial insight, utilising relationships to stay up to date with internal developments in statistical techniques, whilst identifying process improvements and applying insightsfrom the external environment. Role SynopsisAn opportunity for an industrial research R&D fixed term role, for up to six month duration, is available with the Quantitative Analytics (QA) team in BP’s Canary Wharf office. The QA team provides provide quantitative support to the commercial teams withinthe organization. Option pricing, statistical analysis, hedging strategies and real option valuations of physical assets or contractual terms are our main focus. We work closely with traders, structurers, originators, market analysts and technology teams toadvantage BP.Key AccountabilitiesYou will work on an innovative R&D project on a technical topic of strong interest to the QA team, specifically the application of advanced Machine Learning methods for the purposes of calibrating derivative pricing models for exotic financial options andcomplex physical assets. You will be encouraged to quick familiarise yourself with the existing academic literature on the topic, understand the application context and to advance the team’s shown experience as an outcome of the research. Hands-on implementationof machine learning prototypes and working with data using python are key elements of the project. On completion of the research the successful applicant will be expected to produce a high quality technical report and to present their findings to the globalteam in a formal seminar.Essential Education Undergraduate degree, plus PhD or MSc in a quantitative discipline, (eg physics, mathematics, electrical engineering or mathematical finance) from a top-class institution.Essential experience and job requirements