About Us

Understanding risk is where better portfolios begin.

Founded on an observation from forty years inside major investment banks: most investment mistakes start with not fully understanding the risk you already own.

The problem

The risk blind spot

Most portfolios carry risk their owners cannot see. Correlated holdings, hidden factor crowding, and concentration that only surfaces during a drawdown.

Without analytics that show you what is actually driving your portfolio, weighting decisions are guesswork. And guesswork compounds into underperformance.

The solution

See risk, rebuild around it

Our analytics decompose any portfolio into factor exposures and risk attribution, so you see what you actually own before making any changes. Then the Arch Cortex Engine rebuilds the portfolio around the risk profile you want, optimizing for your specific goals while minimizing uncompensated exposure.

How the engine works
Leadership

Our founders: 40+ years in capital markets.

Capital markets veterans and applied intelligence engineers. The engine came out of that work.

Yang Tang

Yang Tang

Co-Founder & CEO

Yang spent over a decade in macro solutions, structuring and sales roles at Morgan Stanley, Citi, Deutsche Bank, and Crédit Agricole CIB. Yang has worked with banks, insurers, and asset managers globally on solutions across asset classes for asset liability, yield enhancement, capital, and tactical opportunities. These structured solutions combined advanced machine learning and derivative replication with practitioner knowledge of financial markets to achieve client outcomes.

Education

MBA, Columbia Business School · BS Economics, Purdue University

Profile
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Dr. Jinghua "Jacob" Kuang

Dr. Jinghua "Jacob" Kuang

Co-Founder & CPO

Jacob spent over two decades at Citi and its predecessor Salomon Brothers in trading, structuring, and quantitative research and analytics. Jacob has deep expertise working with institutional and private bank clients in multi-asset derivative solutions, cash products, and structured notes, with extensive machine learning, neural network, financial engineering, and analytics knowledge from roles in research, modeling, and quantitative analysis.

Education

PhD Mathematics, University of Minnesota · former Assistant Professor of Mathematics, Penn State

Profile
LinkedIn

Ready to see what’s in your portfolio?

Let us show you how our analytics reveal and optimize the risk in your holdings.

Get in touch

Disclaimer

Copyright © 2026 by Arch Indices Corporation. All rights reserved. Arch Analytics and Arch Indices are trademarks of Arch Indices Corporation.

The content contained herein does not constitute an offer of investment services. All information provided is impersonal and not tailored to the needs of any person, entity or group of persons unless specifically licensed to do so. Information, indices, portfolios, and analytics provided by Arch Indices is solely for informational purposes.

An index or model portfolio is a hypothetical basket and cannot be invested in directly. Please consult your investment advisor for investment products that track indices or model portfolios.