I lead the Advanced Data Analytics (ADA) team within the Analytics Centre of Excellence in Barclays’ Personal and Corporate Bank. ADA is a world-class data science team which innovates, designs and builds applications that deliver, direct to customers, relevant analytical content that will help them make smart decisions to improve their lives. The team is a combination machine learning and Big Data specialists. Because the content is delivered directly to users without human oversight there is an emphasis on software engineering and mathematics/statistics. We build our products in Scala and Spark which are type safe, functional, object oriented and performant. We are making good progress on exciting and diverse projects that could revolutionise the way our 300-year old institution relates to our customers. The vision is to give each of our customers the same level of engagement and support in planning their finances and their lives as they would have if they were billionaires.

Head of Advanced Data Analytics @ I have built and I manage a team of world-class data scientists I have developed, with my colleagues, a vision and a strategy for data science at Barclays. I lead the teams engagement with the business to ensure that our projects add value and make money for the bank. We apply pattern recognition technology to diverse data sets We develop Big Data applications in Scala and Spark We have delvered big data machine learning applications that deliver automated analytical content direct to users, including: - Automated system to present customers relevance-ranked analytical insights about their business in natural language form. A highly optimised but general big data application. - Application to identify non-Barclays businesses in card data by combining turnover data, data on customers shopping trips, and lexicographical information to triangulate the most likely match. - Unsupervised model to categorise complaints from actual customer complaints text. - Model to predict which customers will redeem their mortgage in the next month. You can see some of our work in this Cloudera guest blog post: http://goo.gl/iDCkji From March 2014 to Present (1 year 10 months) London, United KingdomPrincipal Data Scientist @ Betfair is the worlds largest sports betting exchange. I designed and built real-time contextual behavioural personalisation systems using econometric and machine learning approaches, working mainly in Scala, SQL and R. Products Built included: * Predict what a customer will do next, used for helping customers navigate to the markets that most interest them. The low-latency model learns and predicts on line, enabling it to respond constantly to changes in market context and consumer behaviour, and achieves an accuracy of over 90%. * Calculate the fair price for sports betting markets in-play. The system responds to the shifts in player momentum as each match develops and generates prices that reflect match outcomes at least as accurately as prices on the exchange itself. * Identify and manage high-risk customer behaviours, including collusive betting, arbitrage and insider trading Each of these systems has the potential radically to impact the profitability of the business. From July 2012 to March 2014 (1 year 9 months) Data Scientist @ I founded Auriol Dynamo while studying economics at UCL to work on data science projects including: * modeling customer travel patterns for a hotel loyalty card scheme to target marketing promotions * modeling registration patterns and occupancy levels in a children’s day nursery business to help them plan for capacity changes From June 2009 to June 2012 (3 years 1 month) Senior Adviser @ Swordfish was the private equity business of a wealthy Indian industrial family. I was working with the management of a fund investment to implement a programme of operational change and to renegotiate the terms of its debts with a bankrupt Icelandic bank. In 2011 I returned to lead a project to build a business in the international schools sector which was stopped in December 2011 From September 2008 to June 2009 (10 months) London, United KingdomDirector @ DDPI was the private equity arm of the Dawnay Day Group, a private UK property company. I was an original member of the team and built the business into a significant part of the Group. Transactions completed include: * the acquisition of the third largest German department store business for €315m in September 2005 * the acquisition of an upmarket UK clothing retailer for £47m in December 2006 * the acquisition of the largest UK day nursery business for £95m in June 2007 From August 2004 to September 2008 (4 years 2 months) London, United KingdomHead of Financial Engineering @ Mapeley was a joint venture between Soros Real Estate Partners and Fortress Investment Group with £1 billion assets and £300 million turnover. I built and managed team which built systems to price Mapeley’s core product: complex property derivative/outsourcing contracts. From September 2002 to June 2004 (1 year 10 months) London, United KingdomSenior Risk Management Executive @ Nomura PFG was the pioneering structured finance and private equity team which was spun off as Terra Firma Capital Partners in 2002. Transactions completed include: * the acquisition of 150 international hotels for £1.9bn in May 2001 * the acquisition of 64,000 homes in Germany for DM 4.1bn in Nov 2000 * the sale of a Canadian vendor finance firm for $4.2bn in Nov 1999 * the acquisition of 1,240 pubs for for £385m in Dec 1998 From September 1997 to July 2001 (3 years 11 months) London, United Kingdom

MSc Economics, Economics @ University College London, U. of London From 2009 to 2011 MBA, Distinction @ University of Oxford - Said Business School From 2001 to 2002 Physics, Physics, 2:1 @ University of Bristol From 1994 to 1997 Harry Powell is skilled in: Machine Learning, Econometrics, R, Data Science, Scala, Predictive Analytics, Big Data, Microeconomics, SQL