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Ben Steiner

Lecturer; Global Fixed Income, BNP Paribas Asset Management

Ben Steiner has spent his career in the application of machine learning and model risk management for investment firms. His expertise combines hands-on technologies, understanding governance frameworks and delivering strategic projects.

In his current role, Ben has chief-of-staff responsibilities in the Global Fixed Income division of BNP Paribas Asset Management (BNPP AM). He focuses on strategic priorities that help BNPP AM deliver long term sustainable returns for our clients. Most recently this includes supporting two key transformation initiatives: (1) AUGMENTED INVESTMENTS: Combining human and machine intelligence together via the increased use of automation, data and systematic decision making. This can create superior investment decisions and improved risk management. (2) SUSTAINABILITY: As a ‘future maker’, BNPP AM is using our investments - and our influence with companies and governments - to advocate for a low-carbon, environmentally sustainable and inclusive economy. This will enable a world that our clients want to retire into.

Earlier in his career, Ben was a Head of Model Development, Portfolio Manager & Quant Researcher at investment managers and quantitative hedge funds. This research spanned multiple asset classes; from model development in illiquid markets (Private Debt and Real Estate) to trading strategies in liquid public markets (Equity Long/Short, Absolute Return Fixed Income, Managed Futures and Global Macro).

He holds a BA (Hons) Economics from the University of Manchester and an MSc Mathematical Finance from Imperial College, London.

In 2013, Ben was appointed to the Board of Directors of the Society of Quantitative Analysts (SQA) and chaired their 2017 annual conference titled “AI/ML: Help, Hope or Hype?”. Ben is a frequently invited speaker to computational finance and machine learning events and has made over 50 modelling-related presentations globally.


  • B.A., University of Manchester
  • M.S.c., Imperial College, London