I want to work on the institutional business development team of a large financial institution.
Allocator Radar is how I'd like to introduce myself: a working tool, not a slide.
Institutional business development depends on timing. Reaching a pension plan the month its board approves an
asset-liability study is very different from reaching it a year after the mandate has been awarded. The signals
are public, but they are buried in hundreds of board packets, minutes and investment reports, and nobody reads
them all. I built a system that does. It reads every page, records what changed and when, and cites its source,
so a business development team can spend its time on the conversations.
The project shows the four things I bring to that team: AI engineering, data analytics, an understanding of how
institutional money moves, and the ability to take a complex, open-ended problem to an accurate, working
solution quickly.
I am a Financial AI Engineer with very capable communication and sales ability. I can build the system, and I
can also sit across the table from an allocator, explain what it found, and turn it into a relationship. In
business development, that combination is the point: the data finds the moment, and the conversation wins it.