Partner with asset allocation PMs and researchers to take ideas from notebook to production: signals, CMAs, optimization, portfolio construction, rebalancing rules, and attribution.
Build and extend the team's research platform: data ingestion, back testing, scenario analysis, portfolio construction, monitoring, and reporting.
Own the multi-asset data layer: market data, macro, fundamentals, fund and index data, internal holdings, with quality control the PMs actually trust.
Use AI coding agents daily for prototyping, refactoring, testing, review, and documentation. Bring opinions on where they help and where they hurt.
Build internal AI-backed tooling for the team where it earns its keep: research workflows, client-reporting drafts, commentary support, meeting prep.
Write production code that other quants want to build on. Own reliability, testing, and observability for what you s...