Customized analysis and recommendation

The engine that took a customer’s existing portfolio and worked out a better one: analysis, optimization and a concrete recommendation aimed at higher return for lower risk. Advisors could show a client not just where their money sat today, but what a smarter arrangement of it would look like.

Fullstack developer and architect, with the frontend and user experience as my particular responsibility, because a recommendation engine is only worth as much as an advisor’s ability to read it quickly. Just as much of the job was human: the team was spread across Sweden, Denmark and India, and I put real effort into making that collaboration genuinely work rather than merely function. I wrote about how that went.