Shahzeb Mohammed

Lecturer

Email: ad2349@coventry.ac.uk

Since joining Coventry University London in 2018, Shahzeb Mohammed has played a key role in the development of Master’s Programme in Global Financial Trading, most notably as the current Course Director of this Postgraduate Programme. Shahzeb Mohammed has designed, and taught modules in Financial Econometrics , Algorithmic Trading, Machine Learning for Big Data using Python and R , Fixed Income Analytics ,Equity Management ,Quantitative Risk management and Advanced Bloomberg Portfolio and Risk Analytics workshops. Previously, Shahzeb was a Research Analyst at the Centre for Hedge Fund Research & Education at London Business School’s Finance Faculty. He is a veteran quantitative analyst and worked as a head of Quant desk for hedge funds, responsible to develop and deploy quantitative strategies. He has consulted widely during his career for several hedge and investment management funds. Currently, he is working on incorporating Financial Technology and microfinance within investment management strategies.

Qualifications

  • PhD in Economics, University of London (2020-Present)
  • MPhil in Econometrics, Université Catholique de Louvain (2018)
  • BSc (Hons) in Mathematical Physics, University College London (2000)
  • BEng (Hons) in Electronic Engineering, King’s College London (1998)

Research and Consultancy

Shahzeb’s research interests are in the following areas: Mathematical Finance, Macrofinance, Asset Pricing, Bayesian Networks, Algorithmic Trading, Financial Technology, Machine Learning, Financial Econometrics, Investment Management, Hedge Fund Strategies, Fixed Income and Term Structure Modelling, Factor Investing and Portfolio Analytics.

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The Queen's Award for Enterprise
University of the year shortlisted
QS Five Star Rating 2023