582 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Oxford in United Kingdom
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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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(RCTs). For Grade 7 applicants, you must also be fluent in trial design and skilled in statistical techniques relevant to RCTs. Clear communication of statistical information in simple terms is essential
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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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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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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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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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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