Ben Steiner has spent his career in the application of machine learning and model risk management for investment firms. His background covers implementing technologies, creating 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. Earlier in his career, Ben was a Head of Model Development, Senior Portfolio Manager & Quant Researcher at investment managers and quantitative hedge funds. This experience covered model development in multiple asset classes ranging from the traditionally illiquid (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. Since 2013 Ben has served on the Board of Directors of the Society of Quantitative Analysts (SQA) and chaired the 2017 conference titled “AI/ML: Help, Hope or Hype?” Ben is a frequently invited speaker to computational finance and machine learning events in industry and academia. Since Jan 2020, Ben is also an Adjunct Lecturer at Columbia teaching a course on quantitative modeling.
· Identifying at what point human intervention is necessary
· Avoiding building models on spurious relationships