Speaker: Ruth McKeown & Peter Simon
Research Centre: Research Centre for Machine Learning
Title: Real World Data Science at Goldman Sachs
Ruth and Peter work in Client Analytics within Enterprise Operations at Goldman Sachs. They both completed the MSc Data Science course at City, University of London in 2016/17. They will discuss how they apply the data science techniques they learnt on the course, such as machine learning, exploratory analysis and data visualisation to produce actionable business insights to improve client service, manage operational risk and identify commercial opportunities at the bank. As part of their discussion, they will also highlight the opportunities and challenges of data science using ‘real-world’ data and welcome questions about their experience of the MSc programme.
Ruth leads the Client Analytics team within Enterprise Operations at Goldman Sachs and had previously worked with the Bank as a consultant for over three years. She has over eleven years’ experience in management consulting and worked with clients such as the Royal Bank of Scotland, Tesco, Homebase and Premier Inn. She is a qualified Chartered Accountant and Prince2 practitioner in project management. Her dissertation focused on using interactive visualisations and data storytelling to make machine learning more accessible to business leaders.
Peter is a freelance data scientist, currently on assignment with the Client Analytics team. He has over twenty years’ experience working with financial data in various senior quantitative research, portfolio management, trading and risk management roles for firms including Morgan Stanley, Credit Suisse and Invesco as well as for two London-based hedge funds. For his dissertation, Peter designed and built a tool for the visual exploration and analysis of financial correlations and how they change over time.
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When and where
5.00pm - 6.00pmFriday 9th February 2018