Building a Model Factory for Asset Management with ModelOps
Overview
Portfolio management quants operate in a high-stakes environment where model speed, accuracy, and transparency directly impact investment decisions. Yet, traditional modeling workflows introduce inefficiencies—slowing time-to-market, increasing debugging overhead, and limiting collaboration with portfolio managers and senior leadership. ModelOps transforms this process, enabling quants to deploy models faster, ensure continuous performance improvements, and communicate insights more effectively across investment teams.
Highlights
In this webinar, MathWorks experts will demonstrate how ModelOps streamlines model lifecycles, helping teams:
- Automate portfolio modeling and deployment workflow
- Improve model reliability and continuously refine forecasts with real-time diagnostics
- Detect performance degradation and adjust models proactively with portfolio monitoring
We will also explore a case study on how a leading asset manager reduced model troubleshooting time by 90%, enabling faster risk-adjusted decision-making and improving strategy execution.
About the Presenter
Dr Peter Brady is a Principal Application Engineer with a background in numerical simulation, analysis and high-performance computing Peter covers these areas of the MathWorks products as well as machine learning, deep learning, deployment and cloud as well as computational finance. He has worked with customers across the finance industry in areas for high-speed algorithmic trading, portfolio optimisation and risk management. Peter has a PhD in Mechanical Engineering and a Bachelors in Civil Engineering, both from UTS, and is a Chartered Practicing Engineer with Engineers Australia (CPEng NER).
This event is part of a series of related topics. View the full list of events in this series.
