Hi ,
Pretty much everyone has a retirement plan, but those plans aren’t always robust enough to see you through to
the finish line of life. And part of that is a direct consequence of incorrectly applying data science principles to financial modelling.
In the latest episode of Value Driven Data Science, I'm joined by money coach Todd Tresidder, bestselling author of How Much Money Do I Need to
Retire?, to discuss the risks and limitations of using data science when planning for retirement.
Some of the things we discuss in this episode include:
- What are some of the limitations of traditional financial modelling?
- Examples of what can happen when traditional financial modelling goes very wrong.
- How to do financial modelling the right way.
- The Engineer's Fallacy or why you shouldn't apply pure data science to financial planning.
- The implications of this for fields outside of the financial services industry.
You can listen to this episode by clicking the button below, or find it on Apple Podcasts, Amazon Music, Spotify or Google Podcasts.
