Peter Algert

Peter Algert is the founder, CEO, and Co-Chief Investment Officer of Algert Global LLC, a San Francisco–based systematic asset manager he established in 2002 (originally as Algert Coldiron Investors, with co-founder Kevin Coldiron). The firm applies quantitative models, data science, and machine learning to global equities and is 100% employee-owned. As of mid-2026 the firm reported roughly $12.1 billion in assets under management and more than 23 years of operating history, running long-only, equity-extension (150/50), and market-neutral absolute-return strategies across U.S., international, and country-specific equity mandates.

Before founding the firm, Algert was a Managing Director and Global Head of Research at Barclays Global Investors (BGI, now part of BlackRock), where he led stock-selection research. Earlier in his career he worked at KMV Corporation on credit-risk modeling. His investment philosophy centers on the view that behavioral biases of human market participants create persistent inefficiencies in global equity markets that are best exploited through a disciplined, repeatable, quantitative process — historically framed around relative value, quality (sustainability of earnings), and catalyst (market overreaction to new information) signals.

Academically, Algert holds a Ph.D. in Finance from the University of California, Berkeley's Haas School of Business and a B.A. in Economics from the University of California, Santa Cruz. He has taught at UC Davis and served as a visiting scholar at the U.S. Securities and Exchange Commission.

Important caveat: The known stub data labels Peter Algert an "Angel Investor" focused on "Seed Round" deals. Extensive searching (firm site, SEC/adviser records, LinkedIn, hedge-fund databases, and startup/angel databases such as Crunchbase/CB Insights) surfaced no evidence that this Peter Algert makes personal seed-stage angel investments. His verifiable professional identity is that of a systematic institutional equity manager. The sections below reflect that verified reality; unverifiable angel-specific details have been omitted rather than invented.

• Systematic, not discretionary: Invests through quantitative models rather than case-by-case judgment, based on the thesis that "inefficiencies in global equity markets… result from the behavioral biases of human market participants and are best exploited by a quantitative and repeatable investment process."
• Firm's own stated mission: "Algert Global LLC is a systematic asset manager leveraging modern data science and machine learning to generate differentiated alpha for our clients."
• Signal families historically emphasized: relative value (markets mis-estimate growth rates), quality (markets misjudge sustainability of earnings), and catalyst (markets react irrationally to new information).
• Asset class: Publicly traded global equities — long-only, equity extension (150/50), and market-neutral/absolute-return — for institutional and private clients.
• *No stated seed-stage / venture check size, target-company profile, or startup sector thesis could be verified; those lines are omitted deliberately.*