Barry Quinn

Barry Quinn

Senior Lecturer in Financial Technology and Data Science

Queen's University Belfast

Biography

I am a fastidiously data scientist in finance. I teach students using experiential learning to encourage experimentation and produce credible analytics. My goal is to develop students' employability, resilience, confident humility and empirical curiosity. I run postgraduate degrees in quantitative finance, financial technology and data science and teaches graduate-level statistics for time series, financial machine learning and algorithmic trading and investment. I designed and direct a high-performance cloud computing analytics platform for teaching and research in the areas of business analytics, econometrics, AI and machine learning in the Management School. I research to feed my curiosity and build confident humility, advocating the responsible use of cutting edge statistics and AI techniques. My research interests are the rule of law and risk analytics in the areas of Banking, FinTech, Football, and Credit unions.

Interests
  • Open financial data science
  • Econometrics, AI, and machine learning
  • Trustworthy AI in finance
  • Risk analytics and financial regulation
  • Association football economics
  • Bayesian inference in finance
Education
  • Chartered Statistician, 2019

    Royal Statistics Society

  • PhD in Finance, 2010

    Queen's University Belfast

  • MSc in Finance, 2008

    Royal Melbourne Institute of Technology

Skills

R

Expert

Statistics

Professional Expert

Python

Expert

Bodhranisation

Professional Expert

Cloud Computing

Expert

Linux

Expert

Experience

 
 
 
 
 
Lecturer
Sep 2010 – Present Belfast
 
 
 
 
 
Retraining to be an academic
QUB and RMIT
Jan 2006 – Jul 2010
 
 
 
 
 
Senior Liquidity Managemet
Henderson Global Investors
Jan 1998 – Jan 2004 London
Trading and managed Forex risk for fund management.
 
 
 
 
 
Financial Consultant
City Financial
Sep 1995 – Jan 1998 London
Wealth management and consulting