Product and operations leader
I build products, and the operations around them, for insurance and financial markets.
Four pieces of work. Hover or tap to look closer.
Investors, brokers, banks and administrators, moved onto one platform.
See the work ›Found the regulatory line before we built.
See the work ›Onboarding that tells the coach who it's talking to.
See the work ›Shared context across Claude, Codex and Grok, as an ongoing experiment.
See the work ›Hi, I'm Anthony. I start by getting into how a system actually runs, and how the people inside it work around what doesn't. That's usually where the problem worth solving is hiding. Then I lead the product, and the operations around it, to fix it.
At Swiss Re, I started on the operating side, building how the business management team ran across sales, finance, legal and structuring. Then I set up the product function and led the platform that moved its cat bond deals off email.
It grew to 900+ external users, about 90% of investors in the cat bond market used it, and it won Insurtech of the Year in 2023.
BNY Mellon›Fitch Solutions›Swiss Re›AI product work
Swiss Re
Everyone in the deal, on the same page.
From inboxes and spreadsheets to one shared platform.
In a specialized corner of the securities market, investors, brokers, banks and administrators ran deals through inboxes and spreadsheets. I set up the product function and led the platform they moved onto, from first wireframe to production.
About 90% of investors in that market ended up using it.
Swiss Re
Drawing the regulatory line on purpose.
Which features would make this regulated?
Before we built, I needed to know which features would change the platform's regulatory status. I mapped them feature by feature and worked with my partners in legal and compliance to settle the boundary early, so we designed with it instead of running into it after launch.
Read the story ›Ren · AI coaching
Teaching an AI coach who it's talking to.
Feedback gets useful once it knows the person, the org and the relationships.
The coach's feedback wasn't quite hitting the mark because it didn't know enough about the person: how they work, what slows them down, how their organization actually runs. So the profile and onboarding ask you to have the AI you already use describe how you work, then ask whatever's needed to fill the gaps. On top of that, we layered in how the company operates and the relationships around each person.
Users quickly said the responses felt more consistent and appropriate.
Read the story ›“A rare mix of product judgment, operating clarity, AI fluency, and hands-on execution.”
My own work
One memory for several AI tools.
An ongoing experiment.
I use shared context to carry work between Claude, Codex and Grok, picking up where I left off or getting another perspective. That works well. Keeping the memory current still takes more prompting with some tools than others.
Read the story ›
Building Through Friction
I write about markets in the messy middle.
