591 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at University of Oxford in United Kingdom
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Development Review (PDR) process, to promoting apprenticeships, coaching, LinkedIn Learning and leadership development. You will also play a central role in our move to improve our data and digital fluency
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contact details of two referees. The supporting statement should explain how you meet the essential criteria for the post using clear examples. Please click here for information and advice on writing
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, and other team members, and contribute to the development of information management systems to improve grant administration across the department. It is essential that you must have a degree or
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opportunity for candidates to pursue an independent research programme in quantitative finance, and in particular data science applied to quantitative finance. Postholders will be concurrently elected
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audiences and communicate complex concepts in a clear and engaging way. Experience of working in a research/higher education environment would be desirable. For more information about the ORI, please see
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personal discretion and judgement, especially when dealing with sensitive and confidential information and seeking to resolve complex situations. Experience of providing advice and support through coaching
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Employee Assistant Programme Family leave schemes Cycle and electric car loan schemes Childcare services Discounted bus travel and season ticket travel loans More information is available at Staff Benefits
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major initiatives, and aligning practice with architecture, data and service design principles. The role includes responsibility for resource and budget management, developing capability frameworks and
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of managing financial data, ideally in a finance setting, and will be highly numerate with strong attention to detail. Previous experience of using Oracle would be advantageous. What We Offer As an employer, we
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5 years. The appointments will be in the area of statistical quantitative finance/financial econometrics, in particular data science and machine learning applied to quantitative finance