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UCLLSEImperial College London
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Centre for Doctoral Training in Financial Computing & Analytics

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The PhD in Financial Computing offers a unique opportunity to gain the skills and contacts required for work in the financial services industry. Competition for places is high, and students must achieve excellent academic qualifications in order to be selected for the course and secure funding.

Once on the course, students work proactively together - particularly in the first year when they participate in seminars, attend reading groups and other activities, and share workspace with each other. In subsequent years they move to work in different departments within the Centre. Some PhD students lecture to undergraduates on their research during the course.

PhD Student profiles
Explore the specialist research topics, interests and background details of students at the PhD Centre in Financial Computing.
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Andrew Smith
the use of AI in predicting market movement
Iain Wood
I am particularly interested in applying PDE's to valuations of options, derivatives and the commodity markets
Ronnie Stafford
Algorithmic Trading coupled with Machine Learning
Marius Cobzarenco
Machine Learning, Portfolio Construction, Natural Language Processing
Peter Divos
building alternative asset pricing modes
Matthew Ames
Machine learning, Algorithmic trading.
Xiaoxue Zhao
Information retrieval
Rodrigo Mazorra
Rickard Nyman
Marzieh Saeidi
High Frequency Trading

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Industry partners

We have partnerships with 20 leadng financial institutions.

Our PhD programme

Read about our programme structure, training facilities and work expected of Financial Computing PhD students.