I’m a big fan of the Harvard Business Review, so I wasn’t entirely sure whether to take this article seriously: “Please don’t hire a chief artificial intelligence officer” The gist of it is: AI strategy is for firms where the product itself is AI (Google, Microsoft etc). Non-tech firms should just make sure the techies are … More How to build an AI driven business

Clearly I’ve not blogged here for over a year…. and what a year it’s been (well, for me at least). To cut a long story short, I decided to go full time on the machine learning aspect of my day job, and call it day (for now at least) on the trading front. Either way, … More Metamorphosis

In my last post I talked about building powerful feature sets by stepping outside of industry specific data conventions that are often historical artefacts (Stop thinking like a human!). It got me thinking more broadly about the psychology of feature selection. The example I gave was the use of technical indicators in finance but you can … More The Zen of Machine Learning

I’ve been working some cross sectional equity models which are outside my usual domain of macro assets and credit. Rather than build a feature set comprised of standard technical indicators (think TA-Lib) and fundamental data (earnings etc) I decided to build some indicators from first principles, and forget about fundamental data. So what did I … More Stop thinking like a human!

So McKinsey gets the joke on machine learning in banks: it will soon be embedded everywhere.  Here’s a link to a presentation I  gave to some investment banks a couple of months ago. It’s focussed on credit trading desks, but applies generally to any fixed income OTC product. As always with the banks, it will … More How Machine Learning will change OTC trading at the Investment Banks