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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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Ilya Zheludev
Applications of financial computing
Michal Galas
Algorithmic/Automated Trading, Artificial Intelligence, Financial Forecasting, Automated Feature Extraction and Calibration
Lajos Maurovich Horvat
Portfolio analysis
Ken Liang
Chaiyakorn Yingsaeree
Algorithmic Trading
Lucio Idone
High Frequency Trading
Elena Simaitiene
Simon Cousins
Machine Learning in Algorithmic Trading
Vytautas Savickas
Interest Rate Models with Stochastic Basis, GPGPU Computing
Ilya Zheludev
Sentiment analysis, information theory, social media data analytics

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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.